Literature DB >> 25678037

The evolution of phylogeographic data sets.

Ryan C Garrick1, Isabel A S Bonatelli, Chaz Hyseni, Ariadna Morales, Tara A Pelletier, Manolo F Perez, Edwin Rice, Jordan D Satler, Rebecca E Symula, Maria Tereza C Thomé, Bryan C Carstens.   

Abstract

Empirical phylogeographic studies have progressively sampled greater numbers of loci over time, in part motivated by theoretical papers showing that estimates of key demographic parameters improve as the number of loci increases. Recently, next-generation sequencing has been applied to questions about organismal history, with the promise of revolutionizing the field. However, no systematic assessment of how phylogeographic data sets have changed over time with respect to overall size and information content has been performed. Here, we quantify the changing nature of these genetic data sets over the past 20 years, focusing on papers published in Molecular Ecology. We found that the number of independent loci, the total number of alleles sampled and the total number of single nucleotide polymorphisms (SNPs) per data set has improved over time, with particularly dramatic increases within the past 5 years. Interestingly, uniparentally inherited organellar markers (e.g. animal mitochondrial and plant chloroplast DNA) continue to represent an important component of phylogeographic data. Single-species studies (cf. comparative studies) that focus on vertebrates (particularly fish and to some extent, birds) represent the gold standard of phylogeographic data collection. Based on the current trajectory seen in our survey data, forecast modelling indicates that the median number of SNPs per data set for studies published by the end of the year 2016 may approach ~20,000. This survey provides baseline information for understanding the evolution of phylogeographic data sets and underscores the fact that development of analytical methods for handling very large genetic data sets will be critical for facilitating growth of the field.
© 2015 John Wiley & Sons Ltd.

Keywords:  DNA sequences; information content; phylogeography; sampling; single nucleotide polymorphisms; temporal trends

Mesh:

Year:  2015        PMID: 25678037     DOI: 10.1111/mec.13108

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  20 in total

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Authors:  Anna Papadopoulou; L Lacey Knowles
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-19       Impact factor: 11.205

5.  Geographical range size and latitude predict population genetic structure in a global survey.

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Journal:  Biol Lett       Date:  2018-01       Impact factor: 3.703

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7.  The aggregate site frequency spectrum for comparative population genomic inference.

Authors:  Alexander T Xue; Michael J Hickerson
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8.  A role of asynchrony of seasons in explaining genetic differentiation in a Neotropical toad.

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9.  Identification of Eastern United States Reticulitermes Termite Species via PCR-RFLP, Assessed Using Training and Test Data.

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10.  Using Next Generation RAD Sequencing to Isolate Multispecies Microsatellites for Pilosocereus (Cactaceae).

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