Kirstin A Williams1, Jennifer Lamb2, Martin H Villet3. 1. Entomology Department, Durban Natural Science Museum, Durban, South Africa; Southern African Forensic Entomology Research Laboratory, Department of Zoology and Entomology, Rhodes University, Grahamstown, South Africa. 2. School of Life Sciences, University of KwaZulu-Natal, South Africa. 3. Southern African Forensic Entomology Research Laboratory, Department of Zoology and Entomology, Rhodes University, Grahamstown, South Africa.
Abstract
The subfamily Luciliinae is diverse and geographically widespread. Its four currently recognised genera (Dyscritomyia Grimshaw, 1901, Hemipyrellia Townsend, 1918, Hypopygiopsis Townsend 1916 and Lucilia Robineau-Desvoidy, 1830) contain species that range from saprophages to obligate parasites, but their pattern of phylogenetic diversification is unclear. The 28S rRNA, COI and Period genes of 14 species of Lucilia and Hemipyrellia were partially sequenced and analysed together with sequences of 11 further species from public databases. The molecular data confirmed molecular paraphyly in three species-pairs in Lucilia that hamper barcode identifications of those six species. Lucilia sericata and Lucilia cuprina were confirmed as mutual sister species. The placements of Dyscritomyia and Hypopygiopsis were ambiguous, since both made Lucilia paraphyletic in some analyses. Recognising Hemipyrellia as a genus consistently left Lucilia s.l. paraphyletic, and the occasionally-recognised (sub)genus Phaenicia was consistently paraphyletic, so these taxa should be synonymised with Lucilia to maintain monophyly. Analysis of a matrix of 14 morphological characters scored for adults of all genera and for most of the species included in the molecular analysis confirmed several of these findings. The different degrees of parasitism were phylogenetically clustered within this genus but did not form a graded series of evolutionary stages, and there was no particular relationship between feeding habits and biogeography. Because of the ubiquity of hybridization, introgression and incomplete lineage sorting in blow flies, we recommend that using a combination of mitochondrial and nuclear markers should be a procedural standard for medico-criminal forensic identifications of insects.
The subfamily Luciliinae is diverse and geographically widespread. Its four currently recognised genera (Dyscritomyia Grimshaw, 1901, Hemipyrellia Townsend, 1918, Hypopygiopsis Townsend 1916 and Lucilia Robineau-Desvoidy, 1830) contain species that range from saprophages to obligate parasites, but their pattern of phylogenetic diversification is unclear. The 28S rRNA, COI and Period genes of 14 species of Lucilia and Hemipyrellia were partially sequenced and analysed together with sequences of 11 further species from public databases. The molecular data confirmed molecular paraphyly in three species-pairs in Lucilia that hamper barcode identifications of those six species. Lucilia sericata and Lucilia cuprina were confirmed as mutual sister species. The placements of Dyscritomyia and Hypopygiopsis were ambiguous, since both made Lucilia paraphyletic in some analyses. Recognising Hemipyrellia as a genus consistently left Lucilia s.l. paraphyletic, and the occasionally-recognised (sub)genus Phaenicia was consistently paraphyletic, so these taxa should be synonymised with Lucilia to maintain monophyly. Analysis of a matrix of 14 morphological characters scored for adults of all genera and for most of the species included in the molecular analysis confirmed several of these findings. The different degrees of parasitism were phylogenetically clustered within this genus but did not form a graded series of evolutionary stages, and there was no particular relationship between feeding habits and biogeography. Because of the ubiquity of hybridization, introgression and incomplete lineage sorting in blow flies, we recommend that using a combination of mitochondrial and nuclear markers should be a procedural standard for medico-criminal forensic identifications of insects.
All four genera of the subfamily are reported to exhibit parasitism in the form of myiasis – the infestation of humans’ and other animals’ living tissues by fly larvae (Stevens 2003) – ranging from facultative secondary necrophagous myiasis in species like (Meigen, 1826) to obligate primary carnivorous myiasis in species such as Moniez, 1876. (Wiedemann, 1830) and are noted veterinary pests. Molecular approaches to the management of these flies’ populations can be built on a phylogenetic analysis of the species, but such analyses based on morphological data (Stevens and Wall 1997, Otranto and Stevens 2002, Stevens 2003) have found no evolutionary pattern underlying the radiation of feeding behaviours in Robineau-Desvoidy, 1830, and biogeographical patterns in the different forms of myiasis have yet to be studied. Furthermore, several taxonomic questions remain regarding the subfamily, from the molecular identification of its species to the definitions of its genera.At the highest taxonomic level, Rognes (1991) suggested that the genera Grimshaw, 1901, Townsend, 1918, Townsend 1916, and Robineau-Desvoidy, 1830 should be united in the subfamily . Several phylogenetic studies have placed species of within (Wells et al. 2007, Park et al. 2009, Liu et al. 2011, McDonagh and Stevens 2011). Evidence of whether is related to or nested within it has depended on which gene was analysed (Wells et al. 2007, McDonagh and Stevens 2011). The definitions and relationships of these genera therefore need attention.Several other genera have been included in the , such as Townsend, 1919, Shannon, 1924, Ringdahl, 1942, Villeneuve, 1914 and Shannon, 1926 but most of these are now treated as synonyms of . itself has been variously divided into subgenera (Malloch 1926) or genera (Hall 1948), respectively. Robineau-Desvoidy, 1863 has been the most used of these names and its use persists (e.g. Park et al. 2009) even though its validity has been challenged regularly (Aubertin 1933, Zumpt 1965, Stevens and Wall 1996). A phylogenetic study of presents an opportunity to assess this matter.The largest genus in the subfamily, has received few quantitative phylogenetic studies (Aubertin 1933, Stevens and Wall 1996, 1997, Wells et al. 2007, Park et al. 2009, DeBry et al. 2012, Sonet et al. 2012), with research generally focusing on species of medical, veterinary or forensic interest in specific geographic regions (Stevens and Wall 2001, Chen et al. 2004, Wallman et al. 2005, Harvey et al. 2008, Reibe et al. 2009, Liu et al. 2011, Boehme et al. 2012, DeBry et al. 2012, Nelson et al. 2012, Sonet et al. 2013). The most comprehensive revision of the genus was published by Aubertin (1933), who recognised 27 species. Since then revisions of the genus and keys for the identification of its species have been produced, but only for specific geographic regions (Hall 1948, James 1971, Rognes 1980, 1991, Smith 1986, Whitworth 2006, 2010). Most species of are limited to particular continents or islands and very few, such as , are cosmopolitan. It is difficult to assess relationships and biogeographical patterns when studies are taxonomically geographically fragmented.At the species level, and have been referred to as sister-species (Ash and Greenberg 1974) because they are very similar morphologically and each is often misidentified as the other. They are now both found in Australia, New Zealand, South Africa, large parts of Asia, Europe and North America (Waterhouse and Paramonov 1950, Rognes 1980, 1994, Norris 1990, Bishop 1991, 1995, Holloway 1991, Fischer 2000, Harvey et al. 2003a, 2003b, 2008, Chen et al. 2004, Heath and Bishop 2006, Park et al. 2009, Liu et al. 2011, Boehme et al. 2012, GilArriortua et al. 2013). They have each received intensive biological investigation, and it would benefit comparative studies if it could be confirmed that they are actually sister species.Several studies have established that natural hybrids of and exist (Stevens and Wall 1996, Stevens et al. 2002, Wallman et al. 2005, Tourle et al. 2009, DeBry et al. 2010, Williams and Villet 2013). Two other species pairs, Macquart, 1855 and Macquart, 1843, and (Linnaeus, 1758) and (Meigen, 1826), also show molecular paraphyly (DeBry et al. 2012, Sonet et al. 2012, 2013), possibly due to introgressive hybridisation or incomplete lineage sorting. The frequency and phylogenetic distribution of this phenomenon in the genus is of general interest because of its implications for understanding speciation and diversification in the group.The aims of this study are therefore to confirm if and are sister-species; to explore if (Macquart, 1855) / Macquart, 1843 and (Linnaeus, 1758) / (Meigen, 1826) are paraphyletic species; to examine the relationships between the species of and clarify the taxonomic status of ; to estimate the relationships of , , and ; and to assess the geographical and phylogenetic patterns of myiasis-causing behaviour in these flies.
Materials and methods
DNA data
Adult flies were obtained from around the world (Table 1). (Macquart, 1855) were obtained from Benin, South Africa and Tanzania, and Robineau-Desvoidy, 1830 were obtained from France and used as an outgroup (Table 1). Identifications were made by the donors based on morphology and verified using published keys (Aubertin 1931, 1933, Smith 1986, Holloway 1991, Whitworth 2006, 2010). All flies were kept in separate 1.5 ml Eppendorf tubes in 96% ethanol or as dried pinned specimens and deposited with the Durban Natural Science Museum after analysis.
Table 1.
Specimen locality data for sequences added to GenBank. (Accession numbers starting KF are new sequences from this study).
Species
Specimen
Locality
Accession Number
28S
Per
COI
Calliphoravicina
CV_FRC_01(F)
Montferrier-Sur-Lez
France
JN792781
KF839531
KF839562
CV_FRC_02(M)
Montferrier-Sur-Lez
France
KF839506
Hemipyrelliafernandica
H_BEN_01(M)
Contonou
Benin
KF839511
KF839539
KF839567
H_BEN_02(M)
Contonou
Benin
KF839512
KF839540
KF839568
H_SA_DBN_01(F)
Durban
South Africa
KF839513
KF839541
KF839569
H_TAN_01(M)
Mkuraja
Tanzania
KF839514
KF839542
KF839570
H_TAN_02(M)
Mkuraja
Tanzania
KF839515
KF839543
KF839571
Luciliacaesar
Ca_FRC_01(M)
Montferrier-Sur-Lez
France
JN792782
JN792858
KF839556
Ca_FRC_02(F)
Montferrier-Surz-Lez
France
KF839501
KF839532
KF839557
Luciliacoeruleiviridis
Co_CAN_01(M)
Windsor
Canada
KF839502
KF839533
KF839558
Co_CAN_02(M)
Windsor
Canada
KF839503
KF839559
Co_USA_03(F)
Putnam Co. Missouri
United States of America
KF839504
KF839534
KF839560
Co_USA_04(F)
Martinstown, Missouri
United States of America
KF839505
KF839561
Luciliacuprina
C_AUS_01 (M)
Sydney
Australia
KF856254
JN792622
C_EGT_01 (F)
Alexandria
Egypt
JN792706
JN792784
JN792625
C_SA_CT_02 (F)
Cape Town
South Africa
JN792713
JN792791
JN792632
C_SA_DBN_01(F)
Durban
South Africa
JN792724
JN792802
JN792642
C_THA_02 (F)
Chiang Mai
Thailand
JN792741
JN792819
JN792661
C_THA_03 (F)
Chiang Mai
Thailand
JN792742
JN792820
JN792662
C_ZIM_02 (F)
Matobos
Zimbabwe
JN792745
JN792823
JN792667
Luciliaeximia
Ex_CSR_01(F)
Santo Domingo
Costa Rica
KF839507
KF839535
KF839563
Ex_CSR_02(F)
Santo Domingo
Costa Rica
KF839508
KF839536
KF839564
Luciliafayeae
Fa_DOM_01(F)
Calibishie
Dominica
KF839509
KF839537
KF839565
Fa_DOM_02(F)
Calibishie
Dominica
KF839510
KF839538
KF839566
Luciliaillustris
IL_CAN_01(F)
Windsor
Canada
KF839516
KF839544
KF839572
IL_CAN_02(F)
Windsor
Canada
KF839517
KF839545
KF839573
IL_JPN_01(F)
Iwate Medical University
Japan
KF839518
KF839546
KF839574
IL_JPN_02(F)
Iwate Medical University
Japan
KF839519
KF839547
KF839575
IL_SWZ_01(F)
Lausanne-Suisse
Switzerland
KF839520
KF839548
IL_USA_01(F)
Michigan
United States of America
KF839521
KF839549
IL_USA_02(F)
Michigan
United States of America
KF839522
KF839550
KF839576
Luciliainfernalis
In_BRN_01(F)
Parc National de la Kibira
Burundi
KF839523
KF839551
KF839577
In_RWN_01(F)
Nyungwe Forest Reserve
Rwanda
JN792780
JN792857
JN813094
Luciliamexicana
Mx_USA_01(F)
New Mexico
United States of America
KF839524
KF839552
KF839578
Mx_USA_02(F)
New Mexico
United States of America
KF839525
KF839579
Luciliapapuensis
Pa_AUS_01
-
Australia
KF839526
Luciliaporphyrina
Po_AUS_01
-
Australia
KF839527
KF839553
Luciliasericata
S_AUS_01 (M)
Seaford
Australia
JN792746
JN792824
JN792668
S_FRC_01 (F)
Montferrier-Sur-Lez
France
JN792749
JN792827
JN792671
S_JPN_01 (F)
Osaka
Japan
JN792754
JN792831
JN792678
S_NAM_01 (F)
Possession Island
Namibia
JN792758
JN792835
JN792682
S_SA_CT_07 (F)
Cape Town
South Africa
JN792766
JN792843
JN792690
S_USA_01 (F)
Michigan
United States of America
JN792778
JN792855
JN792703
Luciliasilvarum
Si_GER_01(F)
Kempen
Germany
KF839528
KF839580
Luciliathatuna
Th_USA_01(F)
Del Norte Co. California
United States of America
KF839529
KF839554
KF839581
Th_USA_02(F)
Del Norte Co. California
United States of America
KF839530
KF839555
KF839582
Specimen locality data for sequences added to GenBank. (Accession numbers starting KF are new sequences from this study).One hind leg of each fly was used for DNA analysis. DNA was extracted using the Qiagen DNeasy tissue kit (Qiagen, Inc., Valencia, CA) according to the manufacturer’s instructions. Three genes were chosen for sequencing: 28S rRNA (28S), a nuclear gene that has been used in previous studies and would allow comparison with other studies PageBreakPageBreakPageBreak(Stevens et al. 2002, Stevens 2003, Tourle et al. 2009, DeBry et al. 2010, Sonet et al. 2012); Period (Per), a second nuclear gene that is faster-evolving than 28S to give better phylogenetic resolution; and Cytochrome oxidase I (COI), the DNA barcoding gene of choice that has been used in previous studies (Stevens et al. 2002, Stevens 2003, Wallman et al. 2005, Wells et al. 2007, Harvey et al. 2008, Liu et al. 2009, Park et al. 2009, Tourle et al. 2009, DeBry et al. 2010, DeBry et al. 2012, Sonet et al. 2012). A region of approximately 650bp in the Domain 1-2 of the 28S gene was amplified using the primers 5`-CCCCCTGAATTTAAGCATAT-3` and 5`-TTAGACTCCTTGGTCCGTG-3` (Stevens et al. 2002). A region of approximately 600bp of the COI gene was amplified using the primers C1-J1709 (5’-ATTGGGGGGTTTGGAAATTG-3`) and C1-N2353 (5’-GCTCGTGTATCAACGTCTATTCC-3`) (Simon et al. 2006). A region of approximately 730bp of the Per gene, was amplified using the primers Per5 (5’-GCCTTCAGATACGGTCAAAC-3’) (Warman, pers comm) and Per reverse (5`-CCGAGTGTGGTTTGGAGATT-3`) (designed by the authors). amplification was performed using 1µL of DNA in a 25µL reaction. Amplification times were 94 °C for 5 min denaturation, followed by 36 cycles of 94 °C for 30 seconds, 55 °C for 1 min, 72 °C for 30 seconds and a final extension period at 72 °C for 7 min. PCR products were confirmed by gel electrophoresis stained in ethidium bromide. PCR products were then sequenced using an ABI 3730l Genetic Analyzer (Applied Biosystems) and the primers used in amplification.Polymerase chain reactionAdditional DNA sequences of 28S, Per and COI were obtained from GenBank (www.ncbi.nlm.nih.gov) (Table 2). Additional COI barcode sequences were downloaded from the website for all available , and species and for (Mello, 1972) and (Wiedemann, 1818) which were included as additional outgroups. Duplicate sequences from the same studies were removed and a total of 207 sequences were included in the analysis. The sequences were aligned and edited using the BioEdit v7.0.9 software (Hall 1999).
Table 2.
GenBank sequences included in this study.
Species
Locality
Accession Number
28S
Per
COI
Calliphoravicina
Bristol
UK
AJ300131
AJ417702
Dyscritomyiafasciata
-
Hawaii
AY074902
Dyscritomyialucilioides
-
Hawaii
AY074903
Dyscritomyiarobusta
-
Hawaii
AY074898
Hemipyrellialigurriens
-
China
DQ345092
Hemipyrellialigurriens
-
Taiwan
AY097334
Hemipyrellialigurriens
-
Taiwan
DQ453493
Hemipyrelliapulchra
-
China
DQ345091
Luciliaadiosoemartoi
-
Indonesia
AY074901
Luciliaampullacea
Langford
UK
AJ300137
Luciliaampullacea
Bristol
UK
DQ453487
Luciliaampullacea
-
Korea
EU925394
Luciliabazini
-
Taiwan
AY346450
Luciliabazini
-
China
DQ345082
Luciliacaesar
Langford
UK
AJ300138
AY417703
Luciliacaesar
Bristol
UK
DQ453488
Luciliacaesar
-
Korea
EU880196
Luciliacluvia
New Orleans
USA
AJ551440
DQ453490
Luciliacluvia
Volusia Co. Florida
USA
JQ942371
Luciliacoeruleiviridis
New York
USA
FJ650558
Luciliacuprina
-
China
DQ345087
Luciliacuprina
Honolulu
Hawaii
AJ417704
Luciliacuprina
Oahu
Hawaii
DQ453496
Luciliacuprina
-
Taiwan
AY097335
Luciliacuprina
-
Thailand
EU418577
Luciliacuprina
Tororo
Uganda
AJ417711
Luciliacuprina
Townsville
Australia
AJ417709
AJ417710
Luciliacuprina
Waianae
Hawaii
AJ417705
Luciliacuprina
Wallaceville
New Zealand
Y19108.1
Luciliacuprina
Noordhoek
South Africa
EU626549
Luciliacuprina
Cincinnati
USA
FJ650542
Luciliaeximia
-
Brazil
DQ453491
Luciliahainanensis
-
Taiwan
AY346451
Luciliahainanensis
-
China
DQ345084
Luciliaillustris
Langford
UK
AJ300136
AJ551445
Luciliaillustris
-
Korea
EU880204
Luciliaillustris
-
China
DQ345090
Luciliaillustris
-
India
DQ200168
Luciliamexicana
San Francisco
USA
AJ551441
DQ453492
Luciliamexicana
California
USA
FJ650563
Luciliamexicana
California
USA
FJ650562
Luciliapapuensis
-
China
DQ345085
Luciliaporphyrina
-
Taiwan
AY097336
Luciliaporphyrina
-
Japan
AY074900
Luciliaporphyrina
-
China
DQ345089
Luciliarichardsi
Usk
-
AJ551142
Luciliasericata
Perth
Australia
AB112833
Luciliasericata
Nerja
Spain
AJ417716
Luciliasericata
Kingsbury
UK
AJ417713
Luciliasericata
Hilerod
Denmark
AJ300140
EF531193
Luciliasericata
Harare
Zimbabwe
AJ417717
Luciliasericata
-
China
DQ345086
Luciliasericata
Langford
UK
AJ300139
Luciliasericata
Los Angeles
USA
AJ300141
Luciliasilvarum
Durham
UK
AJ551443
Luciliasilvarum
-
USA
FJ650564
Luciliasilvarum
Linn Co., OR
USA
JQ942455
Luciliataiyuanensis
-
China
DQ345088
Luciliathatuna
San Francisco
USA
AJ551444
DQ453489
Luciliathatuna
Del Norte Co., California
USA
JQ942464
Barcode of Life DatabaseGenBank sequences included in this study.
Morphological data
The states of the 14 morphological characters defined by Stevens and Wall (1996) were obtained from Aubertin (1931, 1933), Stevens and Wall (1996) and Whitworth (2010) for all of the and species for which sequences were available (Table 3). Museum specimens were inspected where possible to complete the character state matrix. was included as an outgroup.
Table 3.
Binary coding of 14 morphological characters for the genera and . 1 – Colour of the basicostal scale (0 = black/brown, 1 = white/cream); 2 – Number of postsutural acrostichal bristles (0 = two pairs, 1 = three pairs); 3 – Eye separation in the male (0 = distance of greater than the width of the third antennal segment, 1 = less than the width of the third antennal segment); 4 – Number of anterio-dorsal bristles on the mid tibia (0 = one, 1 = two); 5 – Colour of the palpi (0 = yellow/orange, 1 = black/brown); 6 – Subcostal sclerite (0 = bristles absent, 1 = bristles present); 7 – Colour of the squamae (0 = uniform white/cream, 1 = partially or totally brown); 8 – Wings (00 = hyaline, 01 = lightly infuscated, 11 = heavily infuscated); 9 – Eye separation in the female (0 = distance of greater than one quarter of the width of the head, 1 = less than one quarter of the width of the head); 10 – Colour of antennae (0 = uniformly dark, 1 = non-uniform); 11 – Male hypopygium (00 = inconspicuous, 01 = conspicuous, 11 = highly conspicuous); 12 – Colour of abdomen and thorax (0 = predominantly brassy green/green, 1 = predominantly purple/blue/black); 13 – Colour of the legs (00 = dark brown, 01 = brown/black, 11 = black); 14 – Lower squamal lobe (0 = setae absent, 1 = setae present). (Stevens and Wall 1996).
Species
Character number
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Calliphoravicina
1
1
1
1
0
0
1
00
0
0
11
1
01
1
Hemipyrelliafernandica
0
0
0
0
1
1
0
00
1
0
00
0
11
0
Hemipyrellialigurriens
0
0
0
0
0
1
0
00
1
1
01
0
11
0
Hemipyrelliapulchra
0
0
0
1
0
?
0
00
0
1
00
0
11
0
Luciliaampullacea
0
0
1
0
0
1
0
00
0
0
00
0
01
0
Luciliabufonivora
0
0
0
0
1
0
0
00
0
0
01
0
11
0
Luciliacoeruleiviridis
1
0
1
0
0
0
0
00
1
1
00
0
00
0
Luciliacaesar
0
0
1
0
0
1
0
00
0
0
11
0
01
0
Luciliacluvia
1
0
0
0
0
0
0
00
1
0
00
0
00
0
Luciliacuprina
1
1
0
0
0
0
0
00
0
0
01
0
11
0
Luciliaeximia
0
0
1
0
0
0
1
00
0
1
00
0
00
0
Luciliafayeae
0
0
1
0
0
0
1
01
0
0
00
1
00
0
Luciliaillustris
0
0
1
0
0
1
0
00
0
0
01
0
11
0
Luciliainfernalis
0
1
1
0
0
1
1
11
0
1
00
1
01
0
Luciliamexicana
0
0
1
0
0
0
1
01
0
1
00
0
11
0
Luciliapapuensis
0
0
1
1
0
1
1
01
0
1
00
0
11
0
Luciliaporphyrina
0
0
1
0
0
1
1
01
1
0
00
1
00
0
Luciliarichardsi
1
1
0
1
1
0
0
00
0
0
00
0
11
0
Luciliasericata
1
1
0
0
0
0
0
00
0
0
00
0
11
0
Luciliasilvarum
0
1
0
0
1
0
0
00
0
0
01
0
11
0
Luciliathatuna
1
1
1
0
0
0
0
00
1
0
00
0
11
0
Binary coding of 14 morphological characters for the genera and . 1 – Colour of the basicostal scale (0 = black/brown, 1 = white/cream); 2 – Number of postsutural acrostichal bristles (0 = two pairs, 1 = three pairs); 3 – Eye separation in the male (0 = distance of greater than the width of the third antennal segment, 1 = less than the width of the third antennal segment); 4 – Number of anterio-dorsal bristles on the mid tibia (0 = one, 1 = two); 5 – Colour of the palpi (0 = yellow/orange, 1 = black/brown); 6 – Subcostal sclerite (0 = bristles absent, 1 = bristles present); 7 – Colour of the squamae (0 = uniform white/cream, 1 = partially or totally brown); 8 – Wings (00 = hyaline, 01 = lightly infuscated, 11 = heavily infuscated); 9 – Eye separation in the female (0 = distance of greater than one quarter of the width of the head, 1 = less than one quarter of the width of the head); 10 – Colour of antennae (0 = uniformly dark, 1 = non-uniform); 11 – Male hypopygium (00 = inconspicuous, 01 = conspicuous, 11 = highly conspicuous); 12 – Colour of abdomen and thorax (0 = predominantly brassy green/green, 1 = predominantly purple/blue/black); 13 – Colour of the legs (00 = dark brown, 01 = brown/black, 11 = black); 14 – Lower squamal lobe (0 = setae absent, 1 = setae present). (Stevens and Wall 1996).
Phylogenetic analysis
Separate Bayesian inference analyses were performed on each gene in MrBayes (Huelsenbeck and Ronquist 2001) using the best-fitting nucleotide substitution model PageBreakPageBreak(GTR+G in all cases) from jModelTest (Posada 2008). One cold and three hot chains were run for 5 000 000 generations, sampling every 1 000 generations with burn-in of 1 000 samples (20%). tests (Farris et al. 1994) were run in PAUP*4b10 (Swofford 2003) to quantify the differences in topology between trees for 28S, COI and Per. Analyses were then conducted on two combined data sets (nuclear 28S and Per; and total 28S, Per and COI), each partitioned by gene, with the parameters as above.Incongruence length differenceA network analysis for the COI data was created using the NeighborNet algorithm in SplitsTree4 (Huson and Bryant 2008) and the uncorrected P-distance method.The COI barcode sequences (~700 bp long, between base numbers 1490 and 2198) retrieved from on-line databases were aligned along with our new sequences (~640 bp long, between base numbers 1709 and 2353) for a region approximately 800 bp long in which every sequence overlapped the others by at least 490 bp. Bayesian inference analysis was performed in MrBayes (Huelsenbeck and Ronquist 2001) using the best-fitting nucleotide substitution model (GTR+G) from jModelTest (Posada 2008).Maximum parsimony analysis of the morphological data (Table 3) using Fitch parsimony was performed in Paup*4b10 (Swofford 2003). Statistical support for nodes was assessed by bootstrapping with 100 replicates retaining a maximum of 10 000 trees. Strict consensus and 50% majority rule trees were produced from the analysis.The zoogeographic distributions of species in the (Table 4) were mapped onto the trees.
Table 4.
Zoogeographic distribution of species of included in this study. Symbols in brackets represent anthropogenic introductions.
Species
Region
Hawaii
Afrotropical
Australasian
Oriental
Palaearctic
Neararctic
Neotropical
Dysctritomyia spp.
X
Hypopygiopsis spp.
X
X
Hemipyrellia spp.
X
X
X
Hemipyrelliafernandica
X
Luciliainfernalis
X
Luciliacuprina
X
X
X
(X)
X
Luciliasericata
(X)
(X)
X
X
X
(X)
Luciliasilvarum
X
X
Luciliathatuna
X
Luciliaadiosoemartoi
X
Luciliabazini
X
Luciliahainanensis
X
Luciliataiyuanensis
X
Luciliapapuensis
X
X
Luciliaporphyrina
X
X
X
Luciliaampullacea
X
X
Luciliacaesar
X
X
Luciliaillustris
X
X
X
Luciliacluvia
X
X
Luciliacoeruleiviridis
X
Luciliamexicana
X
Luciliafayeae
X
Luciliaeximia
X
Zoogeographic distribution of species of included in this study. Symbols in brackets represent anthropogenic introductions.
Results
Molecular data
Sequencing of the 28S, Per and COI genes resulted in 1932 bp being aligned – 656 bp for 28S, 700 bp for Per and 576 bp for COI. A total of 46 specimens were sequenced for 28S, 41 specimens for Per and 39 specimens for COI. These sequences were submitted to GenBank (Table 1).The ILD test for 28S and Per showed these two genes to be highly congruent (p = 1.00) and the datasets were therefore concatenated for the analyses. The ILD test for 28S, Per and COI showed the combination of these genes to be incongruent (p = PageBreak0.03). Despite the incongruence between the nuclear (28S and Per) and mitochondrial (COI) data, these data sets were also concatenated and an analysis run on the total molecular evidence.The Bayesian inference tree (Fig. 1) for the nuclear genes (28S and Per) clearly showed that and are sister clades with 100% support. Shannon, 1926 and Meigen, 1826 form a sister clade to the clade. The specimens of all grouped together and were sister to Macquart, 1843. The clade sat within the clade (Fig. 1).
Figure 1.
Bayesian inference tree constructed from concatenated nuclear genes 28S + Per. Posterior probabilities are indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , Pa = , Po = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.
Bayesian inference tree constructed from concatenated nuclear genes 28S + Per. Posterior probabilities are indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , Pa = , Po = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.In the Bayesian inference tree for the mitochondrial gene (COI) (Fig. 2), was paraphyletic with respect to . The + clade was poorly resolved with respect to the + Chu, 1975 clade. The sequences grouped with those of and from GenBank and this clade was sister to Villeneuve, 1914. This + clade sat within the clade on the tree. Two specimens from Taiwan assigned to grouped with the specimens. The three PageBreak sequences included in the analysis grouped together monophyletically outside .
Figure 2.
Bayesian inference tree constructed from mitochondrial gene COI. Posterior probabilities indicated on nodes. Green box = sp. Blue box = sp. C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.
Bayesian inference tree constructed from mitochondrial gene COI. Posterior probabilities indicated on nodes. Green box = sp. Blue box = sp. C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.The Bayesian inference tree for the incongruent concatenated total evidence molecular dataset (28S, Per and COI) (Fig. 3) showed and to be sister clades with strong support. The sequences sat within , and the rest of the tree was topologically similar to the gene trees.
Figure 3.
Bayesian inference tree constructed from the concatenated nuclear (28S & Per) and mitochondrial (COI) genes. Posterior probabilities indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.
Bayesian inference tree constructed from the concatenated nuclear (28S & Per) and mitochondrial (COI) genes. Posterior probabilities indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.The NeighborNet analysis (Fig. 4) clearly showed seven distinct major splits. The New World species (, Walker, 1849, Wiedemann, 1819, and Whitworth, 2010) grouped together; , , Walker, 1856, Villeneuve, 1922, , Macquart, 1843, Séguy, 1934 and Fan, 1965 formed a group; was isolated, as was ; the bulk of the species that are primary facultative parasites (, , and ) grouped together; and and the species as the outgroups formed separate but neighbouring splits.
Figure 4.
NeighborNet network diagram constructed from COI data showing parasitic behaviour (coloured text) and previous sub-generic status of according to Hall (1948) (ellipses). Text colours: Red = primary facultative parasite, green = secondary facultative parasite, purple = parasite (unknown if primary or secondary), blue = saprophage, black = unknown parasitic behaviour. C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominica, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.
NeighborNet network diagram constructed from COI data showing parasitic behaviour (coloured text) and previous sub-generic status of according to Hall (1948) (ellipses). Text colours: Red = primary facultative parasite, green = secondary facultative parasite, purple = parasite (unknown if primary or secondary), blue = saprophage, black = unknown parasitic behaviour. C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominica, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.Bayesian inference analysis of the COI barcode data set generated a tree (Fig. 5) with very strong posterior probabilities for most clades except for the + (p = 0.61) and + (p = 0.58) clades. The species all formed a distinct clade within with 100% support. One of the (Bigot, 1877) sequences forms a clade with + + and the other sequence groups with the sequences. sat outside with , confirming its classification as a chrysomyine.
Figure 5.
Bayesian inference tree constructed using COI barcode sequences. Posterior probabilities indicated on nodes. Support within the collapsed nodes is variable. Green box = sp.
Bayesian inference tree constructed using COI barcode sequences. Posterior probabilities indicated on nodes. Support within the collapsed nodes is variable. Green box = sp.The strict consensus parsimony tree for the morphological characters was largely uninformative, forming only two clades, with the majority of the species being unresolved (tree not shown). The 50% majority rule consensus tree (Fig. 6) grouped , , , and together. and grouped together in all of the trees. The species formed a clade within , and and grouped together.
Figure 6.
Majority rule consensus tree for 21 species of and constructed from morphological characters listed in Table 3. Green box = sp.
Majority rule consensus tree for 21 species of and constructed from morphological characters listed in Table 3. Green box = sp.
Discussion
The majority rule consensus tree of the morphological characters (Fig. 6) was largely incongruent with the molecular phylogenetic trees (Figs 1–3, 5). The only clade that was congruent contains + + + + + . In the COI Bayesian inference tree this clade included too (Fig. 5). This is partly due to disparities in taxon sampling and possibly partly a result of the limited character set available for the morphological parsimony analysis. It is ideal to have at least three times more characters than species in this type of analysis (Stevens and Wall 1996), whereas the matrix has 21 species and 17 character states, which limits the conclusions about general trends that can be drawn from these morphological data. This discussion will therefore focus on the results of the molecular analyses.
Relationship of and
Although only about half of the species listed as valid by Aubertin (1933) were included in this study, these results strongly suggest that and are indeed sister species. All of the Bayesian inference analyses (Figs 1–3) indicated this with strong support from the nuclear genes (28S and Per) and total evidence (28S + Per + COI) trees and weaker support from the COI gene alone. was paraphyletic (Fig. 2) with respect to in the mitochondrial gene (COI) tree, as shown previously (using the same sequences but weaker auxiliary taxon sampling) to be the result of introgressive hybridisation between these two species (Williams and Villet 2013). In another study (McDonagh and Stevens 2011), the nuclear gene elongation factor-1 alpha (EF-1α) did not recover and as sister-species, but the clade containing was poorly resolved and thus the conclusion was weakly supported, but the 28S and COI gene trees both recovered and as sister species with strong support (McDonagh and Stevens 2011).
Molecular identification of species
It has already been established that and show a case of ancient introgression, and that they still interbreed (Williams and Villet 2013). This is a widely PageBreakacknowledged problem for identification using partial COI sequences alone (Rubinoff et al. 2006, Nelson et al. 2007, Roe and Sperling 2007, Williams et al. 2008, Tantawi et al. 2010, Williams and Villet 2013). Other problematic species pairs occur in the genus (DeBry et al. 2012, Sonet et al. 2012), and it is important to recognise the cause(s) and to document genes that are more useful for identification in these contexts.In the Bayesian inference trees based on mitochondrial (COI) (Fig. 2) and total evidence (28S, Per and COI) (Fig. 3), was paraphyletic with respect to . This has been observed in the continental United States of America (DeBry et al. 2012), where these two species were found to share a mitochondrial haplotype. The specimens with this haplotype appear to be limited to a geographic area including Texas and New Mexico (DeBry et al. 2012). This study independently confirms this pattern, since our new sequences of from New Mexico grouped with , and the GenBank specimens of from California formed a distinct clade (Figs 2–3). This suggests introgression between and . The nuclear genes separated and , although was not resolved in this analysis (Fig. 1). In the Bayesian inference tree based on the Per gene alone (tree not shown), these two species are recovered as sister clades with 100% support, which suggests that nuclear genes will separate these two species as they do for and (Williams and Villet 2013).and also share haplotypes (Sonet et al. 2012). In the COI tree (Fig. 2), specimens from France and Korea and one specimen of from the UK were not resolved, but the remainder of the and specimens formed a mixed clade with 100% support. These two species can therefore not be unambiguously identified using only COI. The nuclear genes in this study (Fig. 1) separated these two species but used only two specimens of from France and seven specimens of from Japan, Switzerland, Canada and the United States of America. Including specimens from other countries may give a different result as was seen in a previous study (Sonet et al. 2012) where and could not be reliably identified using either mitochondrial or nuclear genes as the intraspecific and interspecific genetic distances were very low. This might result from hybridisation or incomplete lineage sorting (Sonet et al. 2012).These three species pairs highlight the need for using more than one gene to identify species, as has been suggested in previous studies (Rubinoff et al. 2006, Nelson et al. 2007, Roe and Sperling 2007, Williams et al. 2008, Tantawi et al. 2010, Williams and Villet 2013). It also highlights a problem in using COI as a universal ‘barcoding’ gene (Rubinoff et al. 2006, Roe and Sperling 2007, Whitworth et al. 2007, Sonet et al. 2012, van Nieukerken et al. 2012, Jordaens et al. 2013), especially in a forensic context. While cases of ancient introgression remain genetically identifiable (DeBry et al. 2012, Williams and Villet 2013), cases of incomplete lineage sorting may be intractable, and morphological identification may be the best solution, especially if the identifications need to go to court.
Diversification of
The showed two strong patterns underlying their diversification: biogeographical radiation and the diversification of parasitism.The analyses (summarised in Fig. 4) showed geographically distinct clusters of species from the New World ( + + + + ), the Oriental region ( + + + Kurahashi, 1988), and Eurasia ( + ). formed a monophyletic Old World lineage (Aubertin 1931). is found only in Africa (Aubertin 1933) and the sequences from Rwanda and Burundi formed a separate group. One component of phylogenetic diversification within is therefore certainly biogeographical., , and form a clade of facultatively parasitic species, with and being primary facultative parasites. This group is geographically diverse, with only being restricted to one region, the United States of America. Likewise, and form a clade that represents secondary facultative parasites. is Holarctic, while is restricted to the Palaearctic (DeBry et al. 2012). is endemic to the Hawaiian Islands (Wells et al. 2002) and phylogenetically coherent. Its members are attracted to carrion and are suspected of breeding in carrion and parasitizing snails (Hardy 1981).Many species are myiasis-causing (Zumpt 1965), with being the most recognised and often referred to as the sheep-strike blowfly (Hepburn 1943, Ullyett 1945, Vogt and Woodburn 1979, Heath and Bishop 2006). Other species of known to be facultative parasites include , , , , , , , and ; the only obligately parasitic species in the genus are and possibly (Aubertin 1933, Hall 1948, Zumpt 1965, Rognes 1991, McDonagh and Stevens 2011). There are also saprophagous species within , including , , and (Hall 1948, Zumpt 1965). None of these different parasitic behaviours are limited to any particular geographical area (Fig. 4). This implies that diversification of breeding behaviours has also been a component of phylogenetic diversification within , independent of biogeography.
Taxonomy of
Robineau-Desvoidy, 1830 (type species: (Linnaeus, 1758) has a complex nomenclatural history that is integrally related to its biogeographical and dietary radiation. Several authors including Bigot, van der Wulp, Brauer and Bergenstamm, Girschner, Hough, Kramer, Shannon and Malloch (Aubertin 1933) contributed to the ultimate development of this genus. Early studies of the European
PageBreakwere conducted by Stein (1924), Richards (1926), Collin (1926) and Séguy (1928) and Shannon published on the North and South Amercican (1926) (Aubertin 1933). Aubertin (1933) published the most comprehensive review of the genus and recognised 27 species. This genus is widely spread across with world. The adults of this genus feed on nectar, carrion and decomposing material and the females are oviparous (Aubertin 1933). The larvae of this genus develop on decomposing animal material. Several species have developed specialised parasitic behaviour such as , which lays its eggs on living sheep and the larvae feed on the live animals, causing myiasis. is a parasite of toads.Robineau-Desvoidy, 1863 (type species: Robineau-Desvoidy, 1863 = Meigen, 1826) has a history of varied usage. Hall (1948) divided into several separate genera including , and
sensu stricto.
Hall’s (1948) separation of species into the genera and was primarily based on the presence or absence of bristles on the subcostal sclerite and the character of the ocellar triangle. In contrast, Malloch (1926) used the yellow colour of the basicostal scale and the presence of three postsutural acrostichal bristles to define his concept of . The use of has persisted in North American literature (Stevens and Wall 1996, Byrd and Castner 2010), but is not generally used in other parts of the world as it is seen as a junior synonym of (Zumpt 1965).In the network analysis (Fig. 4), the species that would be assigned to based on Hall’s (1948) criteria can clearly be seen to be part of two distant clades. These species occur in both the Old and New Worlds, showing vast geographic ranges. The group includes species that are primary facultative parasites and species that are saprophages. Hall’s (1948) usage of s.str. refers only to (and for clarity between the two) as he focused only on Nearctic blowflies. The remaining species that would fall into this clade based on his diagnostic criteria grouped with and in our analyses (Fig. 4), and includes species that are primary and secondary facultative parasites as well as species that are saprophagous.Townsend, 1919 (type species: ) includes the species , and (by monophyly) , which are found in Europe and North America. forms a part of the clade that includes most of the facultatively parasitic species (Fig. 4). There is no obvious reason to separate into (sub)genera based on the parasitic behaviour of the species because primary and secondary facultatively parasitic and saprophagous species are spread throughout the genus (Fig. 4). Recognising also makes paraphyletic (Fig. 4).Villeneuve, 1914 and Séguy, 1925 (type species: Villeneuve, 1914 = Robineau-Desvoidy, 1863) are monotypic genera founded on the same species, and therefore objective synonyms. The only species shows affinities with in some analyses (Fig. 2, 4), and is always embedded inside , leaving no reason to recognise a separate genus.Similarly, Shannon, 1924, and Ringdahl, 1942, are objective synonyms because they are based on the same species. Several other genus-group PageBreaktaxa have been erected within the , including Rodendorf, 1926, Rodendorf, 1926, Malloch, 1926 and Shannon, 1926. Their status needs assessment, and the results presented here suggest that morphological analyses alone will not be sufficient. Phylogenetic studies including a selection of both nuclear and mitochondrial genes are recommended.Townsend, 1918 (type species: Macquart, 1855) was erected as a genus by Townsend (1918) and revised by Aubertin (1931). It had previously been suggested that was a synonym of (Shannon 1926). is restricted to the Old World and the species are saprophagous. The results of this study place within for both nuclear and mitochondrial analyses with 100% support (Figs 1 and 2), the COI barcode Bayesian tree (Fig. 5) with very strong support, and the morphological majority rule consensus tree (Fig. 6) with weak (56%) support.In two studies of Australian blowflies, was found to be a sister-group to (Wallman et al. 2005, Nelson et al. 2012), but these studies included only species of that occur in Australia, thus may be a sister-clade to Australian as an artefact of taxon sampling. Similarly, another study (Singh and Wells 2013) found to be sister-group to , but this was based on one specimen of and one specimen of . Several other studies have sequenced specimens and found them to lie within (Wells et al. 2007, Park et al. 2009, Liu et al. 2011, McDonagh and Stevens 2011). Two specimens of from Taiwan (Fig. 2) group within the clade. This is probably a misidentification because the specimens of and , both from China, group with sequenced in this study. Assuming that the other specimens are not all misidentified, these previous studies together with the results of this study provide strong support for the synonymy of and .Grimshaw, 1901 (type species: Grimshaw, 1901) contains 35 nominal species that are all found exclusively on the Hawaiian Islands (James 1981). The biology of differs from the other in that at least some species are viviparous and produce only one larva at a time that is retained in the uterus for the first two instar stages. Little is known about their parasitic behaviour but it is assumed that species are facultatively parasitic saprophages (Hardy 1981). was included in the COI Bayesian inference analysis and was recovered as a separate clade to (Fig. 2). In previous studies, was recovered within when analysing the COI and EF-1α genes (Wells et al. 2007, McDonagh and Stevens 2001) but it was recovered as a sister clade to when analysing the 28S gene (McDonagh and Stevens 2011). was also recovered as a sister group to in a study of the COI and COII genes (Wells et al. 2002). The current study used only a 576 bp region of the total COI gene from the sequences available on GenBank that were used in the study of Wells et al. (2002), but still recovered as a sister clade to . It therefore does not appear that the length of the COI sequence affects the analysis significantly.This study used 20 species of in the COI analysis while the previous studies used six and 13 species, respectively (Wells et al. 2002, McDonagh and Stevens 2011). The position of relative to may be determined by the taxon sampling of , as mentioned regarding . This highlights the need for a more comprehensive study of this genus and inclusion of as many and species as possible to confirm the taxonomic relationship between and .Townsend, 1916 (type species: Townsend, 1916 = Walker, 1856) is restricted to the Asian and Australasian regions of the world (Kurahashi 1977). This genus apparently exhibits both oviparous and larviparous behaviour. The larval behaviour includes both facultative parasitism and saprophagy. was included in the Bayesian inference analysis of the COI barcode dataset. One sequence grouped within (Fig. 5) as part of a clade including + + . On closer examination of the sequences, was identical to the sequence from China. The sequence from China that groups with these two sequences differs by only one base pair. This places doubt on the identification of these sequences and prevents any meaningful inferences being drawn. The second sequence groups with . There are only five sequences of publically available and therefore the limited number of sequences constrains the credibility of this result and it is recommended that more sequences of this genus are examined to clarify if this genus should also be synonymised with .
Conclusion
and are indeed sister-species. is confirmed to be paraphyletic with respect to , possibly as a result of hybridisation and introgression. and are both paraphyletic and further studies with different genes are needed to determine if these two species can be identified using molecular methods. should be synonymised with because this genus sits within in all of the analyses conducted in this study. requires further studies to confirm its phylogenetic positioning with regard to because taxon sampling appears to have an impact on the analysis. The limited number of sequences available for and the apparent misidentification of sequences prevent any conclusions being drawn about its relationship to . In this study we have identified at least three cases of misidentified sequences from GenBank, which is a well-known problem (Bridge et al. 2003, Harris 2003, Nilsson et al. 2006, Valkiūnas et al. 2008). There is no geographic pattern to the distribution of the different parasitic behaviours within the and no reason to sub-divide into genera or sub-genera based on either geographic location or parasitic behaviour.
Authors: Narin Sontigun; Kabkaew L Sukontason; Barbara K Zajac; Richard Zehner; Kom Sukontason; Anchalee Wannasan; Jens Amendt Journal: Parasit Vectors Date: 2017-05-10 Impact factor: 3.876
Authors: Tarcilla C Borghesan; Marta Campaner; Tania E Matsumoto; Omar A Espinosa; Victor Razafindranaivo; Fernando Paiva; Julio C Carranza; Nestor Añez; Luis Neves; Marta M G Teixeira; Erney P Camargo Journal: Front Microbiol Date: 2018-02-07 Impact factor: 5.640