Literature DB >> 31077317

Sequencing Disparity in the Genomic Era.

Kyle T David1, Alan E Wilson2, Kenneth M Halanych1.   

Abstract

Advances in sequencing technology have resulted in the expectation that genomic studies will become more representative of organismal diversity. To test this expectation, we explored species representation of nonhuman eukaryotes in the Sequence Read Archive. Though species richness has been increasing steadily, species evenness is decreasing over time. Moreover, the top 1% most studied organisms increasingly represent a larger proportion of total experiments, demonstrating growing bias in favor of a small minority of species. To better understand molecular processes and patterns, genomic studies should reverse current trends by adopting more comparative approaches.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  biodiversity; genomics; high-throughput sequencing; model organisms

Mesh:

Year:  2019        PMID: 31077317     DOI: 10.1093/molbev/msz117

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  4 in total

1.  Faraway, so close. The comparative method and the potential of non-model animals in mitochondrial research.

Authors:  Liliana Milani; Fabrizio Ghiselli
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-12-02       Impact factor: 6.237

2.  Evaluating the monophyly of Mammillaria series Supertextae (Cactaceae).

Authors:  Cristian R Cervantes; Silvia Hinojosa-Alvarez; Ana Wegier; Ulises Rosas; Salvador Arias
Journal:  PhytoKeys       Date:  2021-04-28       Impact factor: 1.635

3.  The untapped potential of reptile biodiversity for understanding how and why animals age.

Authors:  Luke A Hoekstra; Tonia S Schwartz; Amanda M Sparkman; David A W Miller; Anne M Bronikowski
Journal:  Funct Ecol       Date:  2019-09-09       Impact factor: 5.608

4.  TIAMMAt: Leveraging Biodiversity to Revise Protein Domain Models, Evidence from Innate Immunity.

Authors:  Michael G Tassia; Kyle T David; James P Townsend; Kenneth M Halanych
Journal:  Mol Biol Evol       Date:  2021-12-09       Impact factor: 16.240

  4 in total

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