Literature DB >> 26601886

A collection of Australian Drosophila datasets on climate adaptation and species distributions.

Sandra B Hangartner1,2, Ary A Hoffmann1, Ailie Smith3, Philippa C Griffin1.   

Abstract

The Australian Drosophila Ecology and Evolution Resource (ADEER) collates Australian datasets on drosophilid flies, which are aimed at investigating questions around climate adaptation, species distribution limits and population genetics. Australian drosophilid species are diverse in climatic tolerance, geographic distribution and behaviour. Many species are restricted to the tropics, a few are temperate specialists, and some have broad distributions across climatic regions. Whereas some species show adaptability to climate changes through genetic and plastic changes, other species have limited adaptive capacity. This knowledge has been used to identify traits and genetic polymorphisms involved in climate change adaptation and build predictive models of responses to climate change. ADEER brings together 103 datasets from 39 studies published between 1982-2013 in a single online resource. All datasets can be downloaded freely in full, along with maps and other visualisations. These historical datasets are preserved for future studies, which will be especially useful for assessing climate-related changes over time.

Entities:  

Mesh:

Year:  2015        PMID: 26601886      PMCID: PMC4658573          DOI: 10.1038/sdata.2015.67

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


Background & Summary

The Australian Drosophila Ecology and Evolution Resource (ADEER) contains three main Drosophila data collections: (1) clinal data, (2) species distribution data and (3) genomics data. The clinal and species distribution collections are described in this data descriptor, whereas the genomics data will be described elsewhere. The majority of data was generated by Ary Hoffmann’s research group at the University of Melbourne, with contributions from several other Australian researchers (see Acknowledgements). Drosophila species have long been used as model organisms to answer fundamental questions in biology, and the most intensively studied Drosophila species (in particular Drosophila melanogaster) are Northern Hemisphere in origin[1]. Drosophilids as a broader taxonomic group are very diverse in Australia, with over 300 species identified in the tropical and temperate forests located on the east coast. Australia contains a disproportionately large number of species in the genus Scaptodrosophila, many of them endemic to this continent[2]. The ADEER collection broadens the scope of worldwide drosophilid data, by focussing on clinal patterns in traits and genes in Australian drosophilids as well as on thoroughly-studied species distributions. This collection contains data on the ecology and evolution of eleven species in the genera Drosophila and Scaptodrosophila including rainforest specialists (e.g. D. birchii), endemic species (e.g. D. bunnanda) and cosmopolitan species (e.g. D. melanogaster). The east coast of Australia spans a gradient of climatic conditions from cool-temperate Tasmania to tropical northern Queensland. This gradient is unique as it occurs within a narrow elevation range and on a small continent with an ancient geology and a rich biodiversity with a high proportion of endemic species across several biomes[3]. The gradient provides a model system for studying equivalent climatic gradients on other continents, and represents an outstanding natural laboratory for the study of traits and genes that are associated with climatic adaptation[4]. Changes in traits and genes along this gradient (i.e. clines) can arise by natural selection, producing continuous patterns over geographic space. The eastern Australian gradient has been used to investigate the involvement of numerous phenotypic traits and genetic markers in climate adaptation[4]. The clinal data collection contains data from eight species from studies published between 1982–2013 and includes morphological, life-history, stress resistance traits as well as genetic markers. Most of these studies used common garden experiments to test for clinal variation, but some studies were performed in the field. The species distribution collection includes five species from the melanogaster species group (montium subgroup) and two species from the repleta species group within the genus Drosophila, as well as two Scaptodrosophila species. These datasets contain presence records from field collections between 1924 and 2013 which are based on previously-published records in the literature, collections made by the dataset authors, and specimens in the Australian Museum[5-7]. Many species are restricted to the tropics, a few are temperate specialists, and some are broadly distributed across climatic regions. The varied distributions of drosophilid species along the temperate–tropical cline provide a powerful tool for studying climate adaptation and species distribution limits. Previous work on Drosophila species using the Australian cline has demonstrated that monitoring biological changes along geographic climate gradients is a powerful approach for detecting evolutionary shifts under climate change[8,9]. Ongoing data collections from the eastern Australia cline provide an opportunity to monitor phenotypic traits and genetic markers by comparison to historical data, as climate change proceeds. Such temporal studies are particularly useful for tracking continuing evolutionary responses to climate change as well as dynamically projecting species distributions under ongoing climate change scenarios.

Methods

Clinal data collection

The clinal data collection contains data on morphological, life-history and stress resistance traits, as well as genetic marker data (Tables 1 and 2 (available online only), Fig. 1). All datasets of this kind involve flies collected at multiple locations within their geographic distribution, usually along a north-south gradient on the east coast of Australia. Material and methods for each dataset appear in detail in the original publication; here we provide a general summary of the approaches used.
Table 1

Overview of all datasets included in ADEER

Data file name Collection Species Trait Trait group Data type Publication DOI / PMID for original publication Data record accession on ADEER DOI for ADEER Data repository DOI for Dryad
Collection, species and traits studied, data type, the original publication, data depository, data record accession, DOI for ADEER and Dryad, and DOI (or PMID) for the original publication are listed for each dataset.           
1 Azevedo et al. [20] Egg size & ovariole numberClinal Drosophila melanogaster Ovariole number and egg sizeLife history and morphologyPopulation meansAzevedo et al. [20] 10.2307/2410702http://adeer.pearg.com/biogs/DR00273b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
2 Azevedo et al. [11] Wing traitsClinal Drosophila melanogaster Wing to aspect ratioMorphologyPopulation meansAzevedo et al. [11] 10.2307/2410702http://adeer.pearg.com/biogs/DR00277b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
3 Gockel et al. Microsatellite markersClinal Drosophila melanogaster Microsatellite markersGenetic markersIndividual categoriesGockel et al. [22] 11333239http://adeer.pearg.com/biogs/DR00279b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
4 Gockel et al. [22] Wing areaClinal Drosophila melanogaster Wing areaMorphologyPopulation meansGockel et al. [22] 11333239http://adeer.pearg.com/biogs/DR00280b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
5 Griffiths et al. [23] Development timeClinal Drosophila birchii Development timeLife historyPopulation meansGriffiths et al. [23] 10.1111/j.1420-9101.2004.00782.xhttp://adeer.pearg.com/biogs/DR00283b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
6 Griffiths et al. [23] Stress resistance & wing sizeClinal Drosophila birchii Cold-, desiccation-, heat-, starvation resistance and wing centroid sizeStress resistance and morphologyPopulation meansGriffiths et al. [23] 10.1111/j.1420-9101.2004.00782.xhttp://adeer.pearg.com/biogs/DR00282b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
7 Hallas et al. [19] Stress resistance and sizeClinal Drosophila serrata Cold-, desiccation- and starvation resistance, mass and wing lengthStress resistance and morphologyPopulation meansHallas et al. [19] 10.1017/S0016672301005523http://adeer.pearg.com/biogs/DR00315b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
8 Hoffmann & Shirriffs [24] Wing traitsClinal Drosophila serrata Wing landmarksMorphologyIndividual measurementsHoffmann & Shirriffs [24] 10.1111/j.0014-3820.2002.tb01418.xhttp://adeer.pearg.com/biogs/DR00257b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
9 Hoffmann et al. [10] Desiccation resistanceClinal Drosophila melanogaster Desiccation resistanceStress resistanceIndividual measurementsHoffmann et al. [10] 10.1111/j.0014-3820.2001.tb00681.xhttp://adeer.pearg.com/biogs/DR00259b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
10 Hoffmann et al. [10] Starvation resistanceClinal Drosophila melanogaster Starvation resistanceStress resistanceIndividual measurementsHoffmann et al. [10] 10.1111/j.0014-3820.2001.tb00681.xhttp://adeer.pearg.com/biogs/DR00261b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
11 Hoffmann et al. [10] Line meansClinal Drosophila melanogaster Cold resistance, desiccation resistance, starvation resistance, lipid content and thorax lengthStress resistance and morphologySubgroup meansHoffmann et al. [10] 10.1111/j.0014-3820.2001.tb00681.xhttp://adeer.pearg.com/biogs/DR00260b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
12 Hoffmann et al. [31] Cold recovery timeClinal Drosophila melanogaster Cold recovery timeStress resistanceIndividual measurementsHoffmann et al. [31] 10.1046/j.1461-0248.2002.00367.xhttp://adeer.pearg.com/biogs/DR00223b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
13 Hoffmann et al. [31] Cold resistance survivalClinal Drosophila melanogaster Cold resistance survivalStress resistanceIndividual measurementsHoffmann et al. [31] 10.1046/j.1461-0248.2002.00367.xhttp://adeer.pearg.com/biogs/DR00224b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
14 Hoffmann et al. [31] Heat knockdown timeClinal Drosophila melanogaster Heat knockdown timeStress resistanceIndividual measurementsHoffmann et al. [31] 10.1046/j.1461-0248.2002.00367.xhttp://adeer.pearg.com/biogs/DR00225b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
15 Hoffmann et al. [14] Overwinter fecundityClinal Drosophila melanogaster Overwinter mortality, overwinter fecundityLife historyPopulation meansHoffmann et al. [14] 10.1046/j.1420-9101.2003.00561.xhttp://adeer.pearg.com/biogs/DR00263b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
16 Hoffmann et al. [38] Frost locusAClinal Drosophila melanogaster Frost locusGenetic markersPopulation frequenciesHoffmann et al. [38] 10.1111/j.1365-2583.2012.01149.xhttp://adeer.pearg.com/biogs/DR00265b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
17 Hoffmann et al. [38] Frost locusBClinal Drosophila melanogaster Frost locusGenetic markersPopulation frequenciesHoffmann et al. [38] 10.1111/j.1365-2583.2012.01149.xhttp://adeer.pearg.com/biogs/DR00266b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
18 James & Partridge [26] Development timeClinal Drosophila melanogaster Development timeLife historyPopulation meansJames & Partridge [26] 10.1046/j.1420-9101.1995.8030315.xhttp://adeer.pearg.com/biogs/DR00286b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
19 James & Partridge [26] Time to pupationClinal Drosophila melanogaster Time to pupationLife historyPopulation meansJames & Partridge [26] 10.1046/j.1420-9101.1995.8030315.xhttp://adeer.pearg.com/biogs/DR00285b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
20 James et al. [17] Thorax length & wing traitsClinal Drosophila melanogaster Thorax length and wing traitsMorphologyPopulation meansJames et al. [17] 7498744http://adeer.pearg.com/biogs/DR00288b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
21 Kennington & Hoffmann [34] Molecular markers & In(2L)t inversionClinal Drosophila melanogaster Microsatellite markers, Alcohol dehydrogenase (Adh) locus and in(2L)t inversionGenetic markersIndividual categoriesKennington & Hoffmann [34] 10.1186/1471-2148-13-100http://adeer.pearg.com/biogs/DR00290b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
22 Kennington et al. [41] Molecular markers & In(3R)Payne inversionClinal Drosophila melanogaster Microsatellite markers, Hsr-omega locus and In(3R)Payne inversionGenetic markersIndividual measurementsKennington et al.10.1534/genetics.105.053173http://adeer.pearg.com/biogs/DR00292b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
23 Knibb et al. [46] Inversion frequenciesClinal Drosophila melanogaster InversionsGenetic markersPopulation frequenciesKnibb et al. [46] 17249108http://adeer.pearg.com/biogs/DR00296b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
24 Kriesner et al. [43] Wolbachia infection frequencies & mtDNA haplotypesClinal Drosophila simulans mtDNA haplotype and wolbachia infectionGenetic markers and endosymbiontsPopulation countsKriesner et al. [43] 10.1371/journal.ppat.1003607http://adeer.pearg.com/biogs/DR00065b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
25 Lee et al. [42] Neurofibromin gene & In(3R)Payne inversionClinal Drosophila melanogaster Neurofibromin (Nf1) locus and In(3R)Payne inversionGenetic markersIndividual categoriesLee et al. [42] 10.1111/mec.12301http://adeer.pearg.com/biogs/DR00247b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
26 Mitrovski & Hoffmann [13] Mean overwinter egg counts and longevityClinal Drosophila melanogaster Overwinter longevity and fecundityLife historySubgroup meansMitrovski & Hoffmann [13] 10.1098/rspb.2001.1787http://adeer.pearg.com/biogs/DR00229b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
27 Mitrovski & Hoffmann [13] Overwinter temperature, egg laying and mortality ratesClinal Drosophila melanogaster Overwinter mortality and fecundityLife historySubgroup meansMitrovski & Hoffmann [13] 10.1098/rspb.2001.1787http://adeer.pearg.com/biogs/DR00228b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
28 Mitrovski & Hoffmann [13] Overwinter raw egg countsClinal Drosophila melanogaster Overwinter egg countLife historySubgroup measurementsMitrovski & Hoffmann [13] 10.1098/rspb.2001.1787http://adeer.pearg.com/biogs/DR00233b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
29 Mitrovski & Hoffmann [13] Overwinter raw mortalityClinal Drosophila melanogaster Overwinter mortalityLife historySubgroup measurementsMitrovski & Hoffmann [13] 10.1098/rspb.2001.1787http://adeer.pearg.com/biogs/DR00232b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
30 Oakeshott et al. [36] Adh & Gpdh lociClinal Drosophila melanogaster Alcohol dehydrogenase (Adh) and Glycerol-3-phosphate dehydrogenase (Gpdh)Genetic markersPopulation frequenciesOakeshott et al. [36] 10.2307/2407970http://adeer.pearg.com/biogs/DR00298b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
31 Oakeshott et al. [35] G6pd locusClinal Drosophila melanogaster Glucose-6-phosphate dehydrogenase (G6pd) locusGenetic markersPopulation frequenciesOakeshott et al. [35] 10.1038/hdy.1983.7http://adeer.pearg.com/biogs/DR00303b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
32 Oakeshott et al. [35] Pgd locusClinal Drosophila melanogaster 6-phosphogluconate dehydrogenase (Pgd) locusGenetic markersPopulation frequenciesOakeshott et al. [35] 10.1038/hdy.1983.7http://adeer.pearg.com/biogs/DR00304b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
33 Rako et al. [15] Post winter male fertility 2006Clinal Drosophila melanogaster Post winter male fertilityLife historyIndividual measurementsRako et al. [15] 10.1111/j.1420-9101.2009.01852.xhttp://adeer.pearg.com/biogs/DR00237b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
34 Rako et al. [15] Post winter male fertility 2008Clinal Drosophila melanogaster Post winter male fertilityLife historyIndividual measurementsRako et al. [15] 10.1111/j.1420-9101.2009.01852.xhttp://adeer.pearg.com/biogs/DR00308b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
35 Rako et al. [15] Post winter male size 2006Clinal Drosophila melanogaster Post winter wing centroid sizeMorphologyIndividual measurementsRako et al. [15] 10.1111/j.1420-9101.2009.01852.xhttp://adeer.pearg.com/biogs/DR00307b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
36 Rako et al. [15] Male size 2008Clinal Drosophila melanogaster Thorax length and wing centroid sizeMorphologyIndividual measurementsRako et al. [15] 10.1111/j.1420-9101.2009.01852.xhttp://adeer.pearg.com/biogs/DR00309b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
37 Telonis Scott et al. [25] Raw pcr dataClinal Drosophila melanogaster Ebony expressionGenetic markersSubgroup measurementsTelonis-Scott et al. [25] 10.1111/j.1365-294X.2011.05089.xhttp://adeer.pearg.com/biogs/DR00069b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
38 Telonis Scott et al. [25] Raw pigmentation dataClinal Drosophila melanogaster Thoracic trident pigmentation scoresMorphologyIndividual measurementsTelonis-Scott et al. [25] 10.1111/j.1365-294X.2011.05089.xhttp://adeer.pearg.com/biogs/DR00068b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
39 Telonis Scott et al. [25] Average pcr pigmentationClinal Drosophila melanogaster Ebony expression and Thoracic trident pigmentation scoresGenetic markersPopulation meansTelonis-Scott et al. [25] 10.1111/j.1365-294X.2011.05089.xhttp://adeer.pearg.com/biogs/DR00070b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
40 Umina et al. [8] Adh locusClinal Drosophila melanogaster Alcohol dehydrogenase (Adh) locusGenetic markersPopulation frequenciesUmina et al. [8] 10.1126/science.1109523http://adeer.pearg.com/biogs/DR00235b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
41 Umina et al. [8] In(3R)Payne inversionClinal Drosophila melanogaster In(3R)Payne inversionGenetic markersPopulation frequenciesUmina et al. [8] 10.1126/science.1109523http://adeer.pearg.com/biogs/DR00236b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
42 Van Heerwaarden & Sgro [16] D.melanogaster thorax lengthClinal Drosophila melanogaster Thorax lengthMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00240b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
43 Van Heerwaarden & Sgro [16] D.melanogaster wing centroid sizeClinal Drosophila melanogaster Wing centroid sizeMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00239b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
44 Van Heerwaarden & Sgro [16] D.melanogaster wing thorax ratioClinal Drosophila melanogaster Wing to thorax ratioMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00241b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
45 Van Heerwaarden & Sgro [16] D.simulans thorax lengthClinal Drosophila simulans Thorax lengthMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00243b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
46 Van Heerwaarden & Sgro [16] D.simulans wing centroid sizeClinal Drosophila simulans Wing centroid sizeMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00242b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
47 Van Heerwaarden & Sgro [16] D.simulans wing thorax ratioClinal Drosophila simulans Wing to thorax ratioMorphologyIndividual measurementsVan Heerwaarden & Sgro [16] 10.1111/j.1558-5646.2010.01196.xhttp://adeer.pearg.com/biogs/DR00244b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
48 Weeks et al. 2005 Clock locusClinal Drosophila melanogaster Clock locusGenetic markersPopulation frequenciesWeeks et al. 200510.1111/j.1420-9101.2005.01013.xhttp://adeer.pearg.com/biogs/DR00313b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
49 Weeks et al. 2005 Period locusClinal Drosophila melanogaster Period locusGenetic markersPopulation frequenciesWeeks et al. 200510.1111/j.1420-9101.2005.01013.xhttp://adeer.pearg.com/biogs/DR00311b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
50 Weeks et al. 2005 ThrGly locusClinal Drosophila melanogaster Clock locusGenetic markersPopulation meansWeeks et al. 200510.1111/j.1420-9101.2005.01013.xhttp://adeer.pearg.com/biogs/DR00312b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
51 Collinge et al. Cold toleranceClinal Drosophila melanogaster Cold recovery timeStress resistanceIndividual measurementsCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00320b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
52 Collinge et al. [21] Heat toleranceClinal Drosophila melanogaster Heat knockdown timeStress resistanceIndividual measurementsCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00321b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
53 Collinge et al. [21] Ovariole numberClinal Drosophila melanogaster Ovariole numberLife historyIndividual measurementsCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00322b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
54 Collinge et al. [21] Development timeClinal Drosophila melanogaster Development timeLife historySubgroup meansCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00323b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
55 Collinge et al. [21] Wing areaClinal Drosophila melanogaster Wing areaMorphologyIndividual measurementsCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00324b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
56 Collinge et al. [21] Egg viabilityClinal Drosophila melanogaster Egg viabilityLife historySubgroup measurementsCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00325b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
57 Collinge et al. [21] Genetic markers summaryClinal Drosophila melanogaster AC008193, DMTRXIII, DMU25686, Hsp70, Hsr-omegaGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00326b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
58 Collinge et al. [21] Hsp70 locusClinal Drosophila melanogaster Hsp70 locusGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00327b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
59 Collinge et al. [21] DMTRXIII locusClinal Drosophila melanogaster DMTRXIII locusGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00328b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
60 Collinge et al. [21] Hsr-omega locusClinal Drosophila melanogaster Hsr-omega locusGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00329b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
61 Collinge et al. [21] DMU25686 locusClinal Drosophila melanogaster DMU25686 locusGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00330b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
62 Collinge et al. [21] AC008193 locusClinal Drosophila melanogaster AC008193 locusGenetic markersPopulation frequenciesCollinge et al. [21] 10.1111/j.1420-9101.2005.01016.xhttp://adeer.pearg.com/biogs/DR00331b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
63 McKechnie et al. [39] Dca MCAClinal Drosophila melanogaster Drosophila cold acclimation (Dca) locusGenetic markersPopulation frequenciesMcKechnie et al. [39] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00333b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
64 McKechnie et al. [39] Dca locusClinal Drosophila melanogaster Drosophila cold acclimation (Dca) locusGenetic markersPopulation countsMcKechnie et al. [39] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00334b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
65 Lee et al. [29] Egg stage 2008Clinal Drosophila melanogaster Egg stageLife historyIndividual measurementsLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00335b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
66 Lee et al. [29] Egg stage 2009Clinal Drosophila melanogaster Egg stageLife historyIndividual measurementsLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00336b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
67 Lee et al. [29] Egg stage 2010Clinal Drosophila melanogaster Egg stageLife historyIndividual measurementsLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00337b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
68 Lee et al. [29] Association analysisClinal Drosophila melanogaster Egg stage and Couch potato (Cpo) locusLife history and genetic markersIndividual measurementsLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00338b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
69 Lee et al. [29] Couch potato locusClinal Drosophila melanogaster Couch potato (Cpo) locusGenetic markersPopulation frequenciesLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00339b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
70 Lee et al. [29] Couch potato expressionClinal Drosophila melanogaster Couch potato (Cpo) locus expressionGenetic markersPopulation meansLee et al. [29] 10.1111/j.1365-294X.2009.04509.xhttp://adeer.pearg.com/biogs/DR00340b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
71 James et al. [12] Thorax length & wing traitsClinal Drosophila melanogaster Thorax length, wing area, wing cell area and wing cell numberMorphologyPopulation meansJames et al. [12] 9215894http://adeer.pearg.com/biogs/DR00344b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
72 Magiafoglou et al. [27] Development timeClinal Drosophila serrata Development timeLife historyPopulation meansMagiafoglou et al. [27] 10.1046/j.1420-9101.2002.00439.xhttp://adeer.pearg.com/biogs/DR00347b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
73 Magiafoglou et al. [27] Viability and cold resistanceClinal Drosophila serrata Cold resistance and viabilityStress resistance and life historyPopulation meansMagiafoglou et al. [27] 10.1046/j.1420-9101.2002.00439.xhttp://adeer.pearg.com/biogs/DR00348b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
74 Sgrò et al. [30] LongevityClinal Drosophila melanogaster LongevityLife historySubgroup meansSgrò et al. [30] 10.1111/mec.12353http://adeer.pearg.com/biogs/DR00255b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
75 Sgrò et al. [30] Methuselah expressionClinal Drosophila melanogaster Methuselah (mth) locus expressionGenetic markersSubgroup measurementsSgrò et al. [30] 10.1111/mec.12353http://adeer.pearg.com/biogs/DR00253b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
76 Sgrò et al. [30] Methuselah locusClinal Drosophila melanogaster Methuselah (mth) locusGenetic markersIndividual categoriesSgrò et al. [30] 10.1111/mec.12353http://adeer.pearg.com/biogs/DR00254b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
77 Arthur et al. [28] Cold resistanceClinal Drosophila simulans Cold recovery timeStress resistanceIndividual measurementsArthur et al. [28] 10.1111/j.1420-9101.2008.01617.xhttp://adeer.pearg.com/biogs/DR00355b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
78 Arthur et al. [28] Desiccation resistanceClinal Drosophila simulans Desiccation resistanceStress resistanceIndividual measurementsArthur et al. [28] 10.1111/j.1420-9101.2008.01617.xhttp://adeer.pearg.com/biogs/DR00356b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
79 Arthur et al. [28] Development timeClinal Drosophila simulans Development timeLife historyIndividual measurementsArthur et al. [28] 10.1111/j.1420-9101.2008.01617.xhttp://adeer.pearg.com/biogs/DR00357b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
80 Loeschcke et al Thorax and wing traits natural popsClinal Drosophila aldrichi and buzzatii Thorax length, wing traitsMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00374b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
81 Loeschcke et al Wing traits and asymmetry natural popsClinal Drosophila aldrichi and buzzatii Wing traits and wing assymmetryMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00375b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
82 Loeschcke et al [18] Wing asymmetry natural popsClinal Drosophila aldrichi and buzzatii Wing assymmetryMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00376b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
83 Loeschcke et al [18] Thorax and wing traits lab popsClinal Drosophila aldrichi and buzzatii Thorax length and wing traitsMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00377b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
84 Loeschcke et al [18] Wing traits and asymmetry lab popsClinal Drosophila aldrichi and buzzatii Wing traits and wing assymmetryMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00378b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
85 Loeschcke et al [18] Wing asymmetry lab popsClinal Drosophila aldrichi and buzzatii Assymmetry of wing traitsMorphologyIndividual measurementsLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00379b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
86 Loeschcke et al [18] Development time & viabiliy lab popsClinal Drosophila aldrichi and buzzatii Development time and viabilityLife historyPopulation meansLoeschcke et al. [18] 10.1046/j.1365-2540.2000.00766.xhttp://adeer.pearg.com/biogs/DR00380b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
87 Barker [37] Allozyme allele frequencies 67 populationsClinal Drosophila buzzatii AllozymesGenetic markersPopulation frequenciesBarker [37] 10.1111/bij.12067http://adeer.pearg.com/biogs/DR00361b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
88 Barker [37] Allozyme allele frequencies 195 collectionsClinal Drosophila buzzatii AllozymesGenetic markersPopulation frequenciesBarker [37] 10.1111/bij.12067http://adeer.pearg.com/biogs/DR00362b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
89 Barker [37] GENEPOP allozyme file 195 collectionsClinal Drosophila buzzatii AllozymesGenetic markersIndividual measurementsBarker [37] 10.1111/bij.12067http://adeer.pearg.com/biogs/DR00363b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
90 Barker [37] Overview 67 PopulationsClinal Drosophila buzzatii AllozymesGenetic markersPopulation frequenciesBarker [37] 10.1111/bij.12067http://adeer.pearg.com/biogs/DR00364b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
91 Barker et al. [44] Microsatellite markersClinal Drosophila buzzatii Microsatellite markersGenetic markersIndividual categoriesBarker et al. [44] 10.1038/hdy.2008.127http://adeer.pearg.com/biogs/DR00370b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
92 Barker et al. [44] GENEPOP microsatellite fileClinal Drosophila buzzatii Microsatellite markersGenetic markersIndividual categoriesBarker et al. [44] 10.1038/hdy.2008.127http://adeer.pearg.com/biogs/DR00371b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
93 Barker et al. [44] Microsatellite allele frequenciesClinal Drosophila buzzatii Microsatellite markersGenetic markersPopulation meansBarker et al. [44] 10.1038/hdy.2008.127http://adeer.pearg.com/biogs/DR00372b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
94 Barker et al. [6] S. aclinata microsatellite markersClinal Scaptodrosophila aclinata Microsatellite markersGenetic markersIndividual categoriesBarker et al. [6] 10.1038/sj.hdy.6800592http://adeer.pearg.com/biogs/DR00367b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
95 Barker et al. [6] S. hibisci microsatellite markersClinal Scaptodrosophila hibisci Microsatellite markersGenetic markersIndividual categoriesBarker et al. [6] 10.1038/sj.hdy.6800592http://adeer.pearg.com/biogs/DR00368b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
96 Magiafoglou et al. [27] microsatellite markersClinal Drosophila serrata Microsatellite markersGenetic markersIndividual categoriesMagiafoglou et al. [27] 10.1046/j.1420-9101.2002.00439.xhttp://adeer.pearg.com/biogs/DR00397b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
97 Hoffmann et al. [32] Desiccation resistanceClinal Drosophila melanogaster Desiccation resistanceStress resistanceSubgroup measurementsHoffmann et al. [32] 10.1111/j.1365-2435.2005.00959.xhttp://adeer.pearg.com/biogs/DR00394b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
98 Hoffmann et al. [32] Starvation resistanceClinal Drosophila melanogaster Starvation resistanceStress resistanceSubgroup measurementsHoffmann et al. [32] 10.1111/j.1365-2435.2005.00959.xhttp://adeer.pearg.com/biogs/DR00395b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
99 Hoffmann et al. [32] Heat resistanceClinal Drosophila melanogaster Heat knockdown timeStress resistanceIndividual measurementsHoffmann et al. [32] 10.1111/j.1365-2435.2005.00959.xhttp://adeer.pearg.com/biogs/DR00396b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
201 Barker [5] S. aclinata collection recordsSpecies distribution Scaptodrosophila aclinata Presence recordsBarker [5] 10.1038/sj.hdy.6800592http://adeer.pearg.com/biogs/DR00390b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
202 Barker [5] S. hibisci collection recordsSpecies distribution Scaptodrosophila hibisci Presence recordsBarker [5] 10.1038/sj.hdy.6800592http://adeer.pearg.com/biogs/DR00391b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
203 Barker et al. [6] D. buzzatii and aldrichi collection recordsSpecies distribution Drosophila buzzatii and D. aldrichi Presence recordsBarker et al. [6] 10.1111/j.1442-9993.2005.01470.xhttp://adeer.pearg.com/biogs/DR00387b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
204 Schiffer & McEvey [7] Montium colletion recordsSpecies distribution Drosophila bunnanda, D. serrata, D. birchii, D. kikkawai and D. sp. cf. jambulina Presence recordsSchiffer & McEvey [7] nahttp://adeer.pearg.com/biogs/DR00342b.htmhttps://dx.doi.org/10.4225/49/555C0B8D30C3EDryadhttp://dx.doi:10.5061/dryad.k9c31
Figure 1

An overview of the trait groups and species studies in the datasets of ADEER.

All datasets were published between 1982 and 2013 in a total of 39 papers.

This clinal data collection includes data recorded at the level of the individual fly (46 datasets), the subgroup level (12 datasets) or the population level (41 datasets). The term population is here used for a group of flies collected at a single geographic location. Distinct collection sites were typically at least 40 km apart. Individual data include morphological, life-history, stress resistance traits and individual genotype at genetic marker loci. Many data were recorded as population frequencies, such as Wolbachia infection rate and genetic marker frequency (Table 1 (available online only) and Tables 2 (available online only) and 3). For other datasets the data are available as population means, including morphological, life-history and stress resistance traits and genetic markers. A few datasets report results at the subgroup level. These datasets include traits that were measured per vial (e.g. development time, longevity and mortality), per cage (e.g. mortality and fecundity) or per group of flies (desiccation and starvation resistance, gene expression). In addition, one dataset reports data on isofemale lines[10]. Isofemale lines are fly lines that were founded from the offspring of one single wild female (Figs 1 and 2).
Table 2

Phenotypic traits and genetic markers studied along the eastern Australian coast in drosophilid species

Trait/genetic marker Species Clinal variation Clinal pattern References
The presence and pattern of clinal variation and the publication associated with the datasets are reported    
Morphological
    
Egg size D. melanogaster YesLinearAzevedo et al. [20]
Pigmentation D. melanogaster YesLinearTelonis Scott et al. [25]
Thorax length D. melanogaster YesLinearJames et al. [17], [12], Rako et al. [15]
D. melanogaster No Van Heerwaarden & Sgrò [16]
D. melanogaster Na Hoffmann et al. [10]
D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
D. simulans YesLinearVan Heerwaarden & Sgro [16]
Mass D. serrata YesLinear and quadraticHallas et al. [19]
Wing size D. melanogaster YesLinearGockel et al. [22], James et al. [17], [12], Collinge et al. [21], Rako et al. [15], Van Heerwaarden & Sgrò [16]
D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
D. birchii No Griffiths et al. [23]
D. serrata YesLinear and quadraticHoffmann & Shirriffs [24], Hallas et al. [19]
D. simulans YesLinearVan Heerwaarden & Sgro [16]
Wing to aspect ratio D. melanogaster Yes, in the fieldLinearAzevedo et al. [11]
Wing to thorax ratio D. melanogaster YesLinearAzevedo et al. [11], Van Heerwaarden & Sgrò [16]
D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
D. simulans No Van Heerwaarden & Sgro [16]
Wing shape D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
Fluctuating asymmetry D. buzzatii Na Loeschcke et al. [18]
D. aldrichi Na Loeschcke et al. [18]
Lipid content D. melanogaster Na Hoffmann et al. [10]
    
Life-history
    
Development time D. melanogaster YesLinearJames & Partridge [26], Collinge et al. [21]
D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
D. birchii YesLinearGriffiths et al. [23]
D. serrata YesLinear and quadraticMagiafoglou et al. [27]
D. simulans No Arthur et al. [28]
Longevity D. melanogaster YesLinear and quadraticSgrò et al. [30]
Overwinter mortality D. melanogaster YesLinear and quadraticMitrovski & Hoffmann [13], Hoffmann et al. [14]
Overwinter fecundity D. melanogaster YesLinear and quadraticMitrovski & Hoffmann [13]
D. melanogaster LinearHoffmann et al. [14], Rako et al. [15]
Mortality D. aldrichi Na Loeschcke et al. [18]
D. buzzatii Na Loeschcke et al. [18]
D. serrata YesLinearMagiafoglou et al. [27]
Timing of overwinter fecundity D. melanogaster YesLinearMitrovski & Hoffmann [13], Hoffmann et al. [14]
Ovariole number D. melanogaster YesQuadraticAzevedo et al. [20]
D. melanogaster LinearCollinge et al. [21]
Ovarian dormancy D. melanogaster YesQuadraticLee et al. [29]
    
Stress
    
Cold resistance D. melanogaster YesLinearHoffmann et al. [10], [31], Collinge et al. [21]
D. melanogaster Na Hoffmann et al. [10]
D. birchii No Griffiths et al. [23]
D. serrata YesLinearHallas et al. [19], Magiafoglou et al. [27]
D. simulans Yes, femalesCubicArthur et al. [28]
Desiccation resistance D. melanogaster No Hoffmann et al. [10], Hoffmann et al. [32]
D. melanogaster Na Hoffmann et al. [10]
D. birchii YesLinearGriffiths et al. [23]
D. serrata No Hallas et al. [19]
D. simulans No Arthur et al. [28]
Heat resistance D. melanogaster YesLinearHoffmann et al. [31], Collinge et al. [21], Hoffmann et al. [10]
D. birchii No Griffiths et al. [23]
Starvation resistance D. melanogaster Yes, femalesLinearHoffmann et al. [10]
D. melanogaster No Hoffmann et al. [32]
D. birchii YesLinearGriffiths et al. [23]
D. serrata Yes, malesLinearHallas et al. [19]
    
Inversions
    
In(2L)t D. melanogaster YesLinearKnibb et al. [46]
D. melanogaster Na Kennington & Hoffmann [34]
In(2R)NS D. melanogaster YesLinearKnibb et al. [46]
In(3L)Payne D. melanogaster YesLinearKnibb et al. [46]
In(3R)Payne D. melanogaster YesLinearKnibb et al. [46], Lee et al. [42], Umina et al. [8], Kennington et al [41]
In(3R)C D. melanogaster YesLinearKnibb et al. [46]
    
Allozymes
    
Adh D. melanogaster YesLinearOakeshott et al. [36], Umina et al. [8]
D. melanogaster Na Kennington & Hoffmann [34]
Gpdh D. melanogaster YesLinearOakeshott et al. [36]
G6pd D. melanogaster YesLinearOakeshott et al. [35]
Pgd D. melanogaster YesLinearOakeshott et al. [35]
Pgm, Aldox, Hex, Adh, Est1, Est2 and Lap D. buzzatii YesLinearBarker [37]
    
DNA sequence variation
    
 clock D. melanogaster No Weeks et al. 2005
 couch potato D. melanogaster YesLinearLee et al. [29]
 drosophila cold acclimation D. melanogaster YesLinearMckechnie et al. [39]
 frost D. melanogaster YesLinearHoffmann et al. [38]
 hsp70 D. melanogaster No Collinge et al. [21]
 hsr-omega D. melanogaster YesLinearKennington et al. [41], Collinge et al. [21]
 methuselah D. melanogaster YesLinear and quadraticSgrò et al. [30]
 neurofibromin D. melanogaster YesLinearLee et al. [42]
 period D. melanogaster No Weeks et al. 2005
MtDNA D. simulans Na Kriesner et al. [43]
    
DNA repeat variation
    
Microsatellite markers D. melanogaster Yes, 5 out of 19LinearGockel et al. [22]
D. melanogaster Yes, 9 out of 24LinearKennington et al. [41]
D. melanogaster Na Kennington & Hoffmann [34]
D. buzzatii Yes, 6 out of 15LinearBarker 2009
D. serrata No Magiafoglou et al. [27]
S. aclinata Na Barker et al. [6]
S. hibisci Na Barker et al. [6]
    
Gene expression
    
couch potato D. melanogaster YesLinear and quadraticLee et al. [29]
ebony D. melanogaster Yes, at 25 °CLinearTelonis-Scott et al. [25]
methuselah D. melanogaster YesLinearSgrò et al. [30]
    
Others
    
 Wolbachia D. simulans Na Kriesner et al. [43]
Table 3

Species distribution datasets for nine drosophilid species

Datasets Species Publication Collection years
The publication associated with the dataset and collection years are reported.   
201 Barker[5] S. aclinata collection records S. aclinata Barker[5] 1995
202 Barker[5] S. hibisci collection records S. hibisci Barker[5] 1998
203 Barker et al.[6] D. buzzatii and aldrichi collection records D. buzzatii Barker et al.[6] 1971-2002
203 Barker et al.[6] D. buzzatii and aldrichi collection records D. aldrichi Barker et al.[6] 1971-2002
204 Schiffer & McEvey[7] Montium collection records D. bunnanda Schiffer & McEvey[7] 1924-2005
204 Schiffer & McEvey[7] Montium collection records D. serrata Schiffer & McEvey[7] 1924-2005
204 Schiffer & McEvey[7] Montium collection records D. birchii Schiffer & McEvey[7] 1924-2005
204 Schiffer & McEvey[7] Montium collection records D. kikkawai Schiffer & McEvey[7] 1924-2005
204 Schiffer & McEvey[7] Montium collection records D. sp. cf. jambulina Schiffer & McEvey[7] 1924-2005
Figure 2

Collection records are shown for nine drosophilid species (D. aldrichi, D. birchii, D. bunnanda, D. buzzatii, D. kikkawai, D. serrata, D. sp. cf. jambulina, S. aclinata and S. hibisci).

These data were collected between 1924 and 2005 and are based on records in the literature, collections made by the dataset authors and specimens in the Australian Museum.

Fly populations compared for clinal variation in quantitative traits have almost always been maintained in the laboratory prior to testing, for periods ranging from just one generation to several years. The effect of laboratory culture on clinal patterns was specifically investigated in two of the datasets included in this collection using D. melanogaster [11,12]. Almost all clinal studies on quantitative traits in this collection involve a common garden design, where populations are reared in a common environment before they are tested for a specific trait. Flies are therefore kept under controlled temperature and day length and on standard fly medium within a study, but these conditions can vary substantially among studies. A few studies did not use common garden experiments. These include the two studies mentioned above[11,12] where field flies were preserved in alcohol to measure wing traits. Other exceptions[13,14] involved clinal variation in fecundity and mortality scored directly under field conditions.

Morphological traits

27 datasets from 15 publications in this collection investigated morphological traits in D. melanogaster, D. serrata, D. aldrichi, D. buzzatii, D. simulans, or D. birchii. The morphological traits include size (10 datasets), wing morphology (20 datasets), pigmentation (2 datasets) and lipid content (1 dataset). Thorax length, measured from the anterior margin of the thorax to the posterior tip of the scutellum, is most often used as a measure of size and was investigated in four D. melanogaster studies[10,15-17] in D. aldrichi and D. buzzatii[18] and in D. simulans[16]. Mass was used as a measure of size in one D. serrata study[19]. In addition, egg size was measured in one D. melanogaster study[20]. Wing morphology was investigated in seven D. melanogaster studies[11,12,15-17,21,22], in D. aldrichi and D. buzzatii[18], in D. birchii[23], in D. serrata[19,24] and in D. simulans[16]. Wings were removed from individual flies and mounted on slides, and wing traits were either directly measured under a microscope[11,12,17,22] or measured from landmarked images captured under the microscope[15,16,18,19,21]. Pigmentation was investigated in one D. melanogaster study and was scored by visual examination using four phenotypic classes[25]. Lipid levels were scored in one D. melanogaster study where adult females were initially dried in an oven for 48 h and then soaked in ether for 24 h to extract the lipids[9].

Life-history traits

There are 24 datasets in this collection from 13 publications that investigated life-history traits in D. melanogaster, D. serrata, D. aldrichi, D. buzzatii, D. simulans, or D. birchii. This includes traits related to development (11 datasets), mortality (8 datasets) and reproduction (8 datasets). Egg-to-adult development time was investigated in two D. melanogaster studies[21,26], D. aldrichi and D. buzzatii[18], D. birchii[23], D. serrata[27] and in D. simulans[28]. Development time was measured from the midpoint of the egg laying period to adult eclosion (emergence from the pupal case). In addition, egg development stage was examined in female D. melanogaster after being exposed to diapause-inducing conditions for 28 days[29]. Mortality was investigated in D. melanogaster[13,14,30], D. aldrichi and D. buzzatii[18] and D. serrata[27]. In D. melanogaster, mortality was recorded in field cages held at temperate winter conditions near Melbourne[13] and at tropical winter conditions in Cairns[14]. In addition, longevity of once-mated females was scored under standard laboratory conditions[30]. The flies were transferred to fresh vials every day, and at each transfer, all vials were examined for dead flies[30]. In D. aldrichi and D. buzzatii, larvae to adult viability was scored after rearing the flies at three temperatures treatments[18]. Egg to adult and pupal to adult viability were scored in D. serrata collected before and after winter[27]. To score egg to adult and pupae to adult viability, vials were scored until no new adults emerged and the number of pupae in each vial was counted to obtain pupal viability data[27]. Reproductive traits were investigated in five D. melanogaster studies[13-15,20,21]. Overwintering fecundity was recorded in field cages held at temperate winter conditions near Melbourne[13] and at tropical winter conditions in Cairns[14]. Rako et al.[15] tested for the maintenance of fertility in males that have survived in field cages held at temperate winter conditions near Melbourne. Males were crossed to virgin females and the number of offspring was scored for each male[15]. Ovariole number was scored in two studies, whereas the number of ovarioles in each ovary was counted directly after dissection of the females[20,21].

Stress resistance traits

Sixteen datasets from 8 publications investigated stress traits in D. melanogaster, D. serrata, D. simulans, or D. birchii. These traits include cold resistance (8 datasets), desiccation resistance (6 datasets), heat resistance (4 datasets) and starvation resistance (5 datasets). Cold resistance, scored as chill coma recovery time was investigated in D. melanogaster[21,31], D. birchii [23], D. serrata[19] and D. simulans[28]. Flies were placed in empty vials which were immersed in a 10% glycol solution cooled to a constant temperature of 0 °C . After 1–8 h, vials were removed from the cold bath and placed at room temperature and recovery time of flies was scored[19,21,23,28,31]. Cold resistance scored as mortality after chill coma was investigated in D. melanogaster[10,31] and D. serrata[27]. Groups of females were placed into empty vials and submerged in a −2 °C waterbath for 1–3 h. Flies were allowed to recover in vials with fly medium for 24–48 h before scoring mortality[10,27,31]. Desiccation resistance was investigated in D. melanogaster[10,32], D. serrata[19], D. simulans[28] and D. birchii[23]. Flies were placed in empty vials covered with gauze and then transferred to a desiccator with silica gel left at 25 °C . Mortality was scored hourly until all flies had died[10,19,23,28,32]. Heat resistance was investigated in D. melanogaster[21,31,32], and D. birchii[23]. Individual flies were placed into 5 ml glass vials submerged into a glass tank with water held at 39 °C (38.5 °C for D. birchii). Resistance was scored as the time taken for flies to be knocked down[21,23,31,32]. Starvation resistance was investigated in D. melanogaster[10,32], D. birchii[23] and D. serrata[19]. Flies were placed in vials/tubes containing agar and these vials were placed in a chamber with water to maintain humidity close to 100%. Chambers were held at 25 °C and mortality was scored at 6–8 h intervals until at least half the flies had died[10,19,32]. Griffiths et al.[23] scored starvation resistance by placing flies in vials, which were then inverted over a second vial containing cotton wool and water. Flies in the vial were separated from the water with fine gauze and the two vials were sealed together with Parafilm®. The flies were scored for survival every hour until half the flies had died[23].

Genetic markers

This data collection contains 41 datasets from 20 publications that investigated genetic markers in D. melanogaster, D. serrata, D. buzzatii, D. simulans, S. aclinata or S. hibisci. Genetic marker types include allozymes (9 datasets), DNA sequence polymorphism (18 datasets), DNA repeat variation (i.e. microsatellites, 8 datasets), gene expression levels (4 datasets), inversion polymorphisms (5 datasets), and mitochondrial DNA regions (1 dataset). Allozymes are enzymes that differ in electrophoretic mobility as a result of allelic differences at a single locus[33]. Allozymes were investigated in D. melanogaster[8,34-36] and D. buzzatii[37]. Allozymes were scored after electrophoresis of single fly homogenates and staining[8,34-37]. Adh and Pgd were scored in D. melanogaster[8,34-36] and D. buzzatii[37]. Gpdh, G6pd and Pgd were scored in D. melanogaster[35,36] and Aldox, Hex, Est1, Est2 and Lap were scored in D. buzzatii[37]. DNA sequence polymorphism can be determined using polymerase chain reaction (PCR) followed by gel electrophoresis (to detect size variation) or sequencing (to detect sequence variation)[33]. Drosophila melanogaster has been intensively used as a model to study DNA sequence polymorphisms along the eastern Australian cline[21,29,30,38-42]. In addition, variation in mitochondrial DNA sequences was investigated in D. simulans[43]. Several genes have been investigated in D. melanogaster: clock and period[40], couch potato[29], drosophila cold acclimation[39], frost[38], hsp70 (ref. 21), hsr-omega[21,41], methuselah[30], and neurofibromin[42]. The protocols to test for clinal variation in DNA sequence polymorphism varied substantially among the studies. In short, fly DNA was most often extracted using a Chelex/Proteinase K method[42] but sometimes used a modified CTAB method[40]. Amplification of nuclear and mitochondrial DNA was performed using standard PCR methods and variation in DNA sequences was determined by gel electrophoresis or sequencing. For further details see[21,29,30,38-43]. Microsatellites are tandemly repeated sequences of 1–6 nucleotides. Microsatellite markers are highly polymorphic and are assumed to evolve neutrally[33]. Microsatellites were investigated in D. melanogaster[22,34,41], D. buzzatii[44], D. serrata[27], S. aclinata and S. hibsici[5]. After DNA extraction, microsatellite markers were amplified by polymerase chain reaction (PCR) using the unique sequences of flanking regions as primers and then repeat length was measured either by separating radiolabelled products on a gel or separating fluorescent-labelled products on a DNA sequencer. For further details see[5,22,27,34,41,44]. Gene expression assays aim to quantify the level of RNA transcript present in the cell for each gene of interest using real-time PCR or deep-sequencing technologies[45]. Expression of three genes was investigated in D. melanogaster: couch potato[29], ebony[25], and methuselah[30]. In each case, RNA was isolated and purified to ensure DNA removal; cDNA was then synthesised for use as template for real-time PCR on the Light-Cycler® 480 (Roche) system and normalized using housekeeping genes. Further details are available in publications[25,29,30]. Inversion polymorphism refers to the phenomenon of a chromosome region appearing in either standard or ‘reversed’ orientation in a population, which results in multiple genes being inherited together rather than assorting independently. It has been intensively investigated in D. melanogaster in Australia. The inversion In(3R)Payne is the most frequently studied inversion[8,41,42,46], but In(2R)NS, In(3L)Payne, In(3R)C[46] and In(2L)t[34,46] have also been investigated. Two different approaches were used to test for inversion polymorphism: The BI-PASA method genotypes a SNP polymorphism shown to be in complete linkage disequilibrium with In(3R)Payne in Australia[8,41,42]. Alternatively, a salivary gland preparation was made from a single 3rd-instar larva and lacto-acetic orcein was used to stain the chromosome. After staining, glands were squashed under a cover slip and visualized with a light microscope to examine banding patterns and loops characteristic of inversion status[34,46].

Wolbachia

Wolbachia are maternally inherited intracellular bacteria that can manipulate host reproduction[43]. One study in this collection investigated Wolbachia infections in D. simulans[43]. DNA was extracted using a standard Chelex based method and assays for Wolbachia infection status and strain type were performed with a fluorescence-based PCR assays using the Roche LightCycler® 480 system[47].

Species distribution collection

The species distribution collection contains data from two Scaptodrosophila species and seven Drosophila species (Table 1 (available online only), Table 3 and Fig. 2). Schiffer and McEvey[7] investigated distributions of members of the montium subgroup (Drosophila bunnanda, D. serrata, D. birchii, D. kikkawai and D. sp. cf. jambulina) along the east coast of Australia. Collection records are available for 122 locations that were sampled between 1924 and 2005 and data are based on records in the literature, collections made by the authors and specimens in the Australian Museum[7]. Collection records are also available for the cactophilic D. aldrichi and D. buzzatii[6]. These species were sampled between 1971 and 2002 in 97 locations where Opuntia cacti occur and the Opuntia species were recorded for each location. Barker[5] collected distribution data of S. aclinata and S. hibisci which are both restricted to Hibiscus flowers[5]. Scaptodrosophila aclinata were sampled in 24 locations in 1995 and S. hibisci were sampled in 63 locations in 1998 and the Hibiscus species were recorded for all locations. For further details see the relevant publications[5-7].

Data Records

All 103 datasets are freely available through the ADEER website (http://adeer.pearg.com/), where additional datasets will be added in the future. In addition to the datasets, ADEER also provides a short description and a visualisation of each dataset and a link to the publication describing the datasets (Data Citation 1). The datasets can be accessed by browsing the collections, species or traits or by using the “Search” function. All 103 datasets are listed under “Browse Datasets” or as a default using the “Search” function. The data can be downloaded by clicking on the “Data Online” icon. A static version of all datasets was also transferred to Dryad on 19.7.2015 (Data citation 2). The datasets 63–70 from the Lee et al. (2011) publication are also freely available on the Dryad repository (Data Citation 3). In addition, the dataset 25 from the Lee et al. (2013) publication (Data Citation 4), the dataset 24 from the Kriesner et al. 2013 publication (Data Citation 5), the datasets 74-76 from the Sgrò et al. (2013) publication (Data Citation 6) and the datasets 37–39 from the Telonis-Scott et al. (2011) publication (Data Citation 7) are already freely available on the Dryad repository.

Technical Validation

All datasets of this collection have been published in peer-reviewed journals confirming the technical quality of the data and the appropriate use of experimental designs. Experimental designs always included control treatments where necessary and careful replication and randomization of the experimental units. All data have also been statistically analysed, which included testing for measurement and recording errors. Furthermore, in the process of collecting this resource, each dataset was visualized and checked for potential inconsistencies. Spelling mistakes were corrected in the datasets, but only datasets where no inconsistencies were found in the data were included in this resource.

Usage Notes

The annual average daily mean temperature of Australia has risen by 0.9 °C since 1910 (CSIRO 2014) and Australian temperatures are projected to continue to increase by about 2–4 °C by 2100 following the global trend[48]. The increase in average and extreme temperatures presents a major challenge to biodiversity[49]. The clinal and species distribution datasets will be valuable for temporal comparisons in the future to understand current and future evolutionary responses to climate change and to predict species distributions under ongoing climate change scenarios. Clinal data of phenotypic traits and genetic markers as well as species distributions can be tracked over time and tested for adaptive responses under climate change[8]. In addition, researchers can use the datasets for comparing shifts in species distributions and linking these to climatic variables. There is now ample evidence that natural populations are responding to climate change by shifting their geographic distribution and phenology[50-52] and an increasing number of studies have demonstrated evidence for rapid adaptive evolution in response to climate change[53,54]. Although plastic and genetic responses may allow some species to cope with climate change, extinction risks are predicted to be high, in particular in Australia[55]. One major challenge is to identify the most vulnerable species that will not be able to adapt fast enough to keep pace with climate change[52,53]. Collections like this one that span multiple related species with different degrees of adaptive potential and climate tolerance are important for understanding why some species are more vulnerable than others. Once this is better understood in model groups like drosophilid flies, researchers can apply general patterns to mammals, birds, plants and other groups to help prioritise conservation efforts.

Additional Information

How to cite this article: Hangartner, S. B. et al. A collection of Australian Drosophila datasets on climate adaptation and species distributions. Sci. Data 2:150067 doi: 10.1038/sdata.2015.67 (2015).
  43 in total

Review 1.  Ecological responses to recent climate change.

Authors:  Gian-Reto Walther; Eric Post; Peter Convey; Annette Menzel; Camille Parmesan; Trevor J C Beebee; Jean-Marc Fromentin; Ove Hoegh-Guldberg; Franz Bairlein
Journal:  Nature       Date:  2002-03-28       Impact factor: 49.962

2.  Adaptive radiation in the subgenus Scaptodrosophila of australian Drosophila.

Authors:  P A Parsons
Journal:  Nature       Date:  1975-12-18       Impact factor: 49.962

3.  Geographic variation for wing shape in Drosophila serrata.

Authors:  Ary A Hoffmann; Jennifer Shirriffs
Journal:  Evolution       Date:  2002-05       Impact factor: 3.694

4.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

5.  Variation in body size and life history traits in Drosophila aldrichi and D. buzzatii from a latitudinal cline in eastern Australia.

Authors:  V Loeschcke; J Bundgaard; J S Barker
Journal:  Heredity (Edinb)       Date:  2000-11       Impact factor: 3.821

6.  Nonclinality of molecular variation implicates selection in maintaining a morphological cline of Drosophila melanogaster.

Authors:  J Gockel; W J Kennington; A Hoffmann; D B Goldstein; L Partridge
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

7.  Levels of variation in stress resistance in drosophila among strains, local populations, and geographic regions: patterns for desiccation, starvation, cold resistance, and associated traits.

Authors:  A A Hoffmann; R Hallas; C Sinclair; P Mitrovski
Journal:  Evolution       Date:  2001-08       Impact factor: 3.694

8.  Postponed reproduction as an adaptation to winter conditions in Drosophila melanogaster: evidence for clinal variation under semi-natural conditions.

Authors:  P Mitrovski; A A Hoffmann
Journal:  Proc Biol Sci       Date:  2001-10-22       Impact factor: 5.349

9.  Clinal variation in Drosophila serrata for stress resistance and body size.

Authors:  Rebecca Hallas; Michele Schiffer; Ary A Hoffmann
Journal:  Genet Res       Date:  2002-04       Impact factor: 1.588

10.  Overwintering in Drosophila melanogaster: outdoor field cage experiments on clinal and laboratory selected populations help to elucidate traits under selection.

Authors:  A A Hoffmann; M Scott; L Partridge; R Hallas
Journal:  J Evol Biol       Date:  2003-07       Impact factor: 2.411

View more
  5 in total

1.  Environmental variation and biotic interactions limit adaptation at ecological margins: lessons from rainforest Drosophila and European butterflies.

Authors:  Eleanor K O'Brien; Greg M Walter; Jon Bridle
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-02-21       Impact factor: 6.237

2.  Correlations of Genotype with Climate Parameters Suggest Caenorhabditis elegans Niche Adaptations.

Authors:  Kathryn S Evans; Yuehui Zhao; Shannon C Brady; Lijiang Long; Patrick T McGrath; Erik C Andersen
Journal:  G3 (Bethesda)       Date:  2017-01-05       Impact factor: 3.154

3.  A resource on latitudinal and altitudinal clines of ecologically relevant phenotypes of the Indian Drosophila.

Authors:  Subhash Rajpurohit; Xiaqing Zhao; Paul S Schmidt
Journal:  Sci Data       Date:  2017-05-16       Impact factor: 6.444

Review 4.  Life-History Evolution and the Genetics of Fitness Components in Drosophila melanogaster.

Authors:  Thomas Flatt
Journal:  Genetics       Date:  2020-01       Impact factor: 4.562

5.  Parallel clinal variation in the mid-day siesta of Drosophila melanogaster implicates continent-specific targets of natural selection.

Authors:  Yong Yang; Isaac Edery
Journal:  PLoS Genet       Date:  2018-09-04       Impact factor: 5.917

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.