Literature DB >> 31109676

Evolutionary insights from large scale resequencing datasets in Drosophila melanogaster.

Sara Guirao-Rico1, Josefa González2.   

Abstract

Drosophila melanogaster has long been used as an evolutionary model system. Its small genome size, well-annotated genome, and ease of sampling, also makes it a choice species for genome resequencing studies. Hundreds of genomic samples from populations worldwide are available and are currently being used to tackle a wide range of evolutionary questions. In this review, we focused on three insights that have increased our understanding of the evolutionary history of this species, and that have implications for the study of evolutionary processes in other species as well. Because of technical limitations, most of the studies so far have focused on SNP variants. However, long-read sequencing techniques should allow us in the near future to include other type of genomic variants that also influence genome evolution.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 31109676     DOI: 10.1016/j.cois.2018.11.002

Source DB:  PubMed          Journal:  Curr Opin Insect Sci            Impact factor:   5.186


  4 in total

1.  De novo Transcriptomic Resources in the Brain of Vespa velutina for Invasion Control.

Authors:  Miao Wang; Hanyu Li; Huoqing Zheng; Liuwei Zhao; Xiaofeng Xue; Liming Wu
Journal:  Insects       Date:  2020-02-03       Impact factor: 2.769

2.  Demographic analyses of a new sample of haploid genomes from a Swedish population of Drosophila melanogaster.

Authors:  Adamandia Kapopoulou; Martin Kapun; Bjorn Pieper; Pavlos Pavlidis; Ricardo Wilches; Pablo Duchen; Wolfgang Stephan; Stefan Laurent
Journal:  Sci Rep       Date:  2020-12-29       Impact factor: 4.379

3.  Drosophila Evolution over Space and Time (DEST): A New Population Genomics Resource.

Authors:  Martin Kapun; Joaquin C B Nunez; María Bogaerts-Márquez; Jesús Murga-Moreno; Margot Paris; Joseph Outten; Marta Coronado-Zamora; Courtney Tern; Omar Rota-Stabelli; Maria P García Guerreiro; Sònia Casillas; Dorcas J Orengo; Eva Puerma; Maaria Kankare; Lino Ometto; Volker Loeschcke; Banu S Onder; Jessica K Abbott; Stephen W Schaeffer; Subhash Rajpurohit; Emily L Behrman; Mads F Schou; Thomas J S Merritt; Brian P Lazzaro; Amanda Glaser-Schmitt; Eliza Argyridou; Fabian Staubach; Yun Wang; Eran Tauber; Svitlana V Serga; Daniel K Fabian; Kelly A Dyer; Christopher W Wheat; John Parsch; Sonja Grath; Marija Savic Veselinovic; Marina Stamenkovic-Radak; Mihailo Jelic; Antonio J Buendía-Ruíz; Maria Josefa Gómez-Julián; Maria Luisa Espinosa-Jimenez; Francisco D Gallardo-Jiménez; Aleksandra Patenkovic; Katarina Eric; Marija Tanaskovic; Anna Ullastres; Lain Guio; Miriam Merenciano; Sara Guirao-Rico; Vivien Horváth; Darren J Obbard; Elena Pasyukova; Vladimir E Alatortsev; Cristina P Vieira; Jorge Vieira; Jorge Roberto Torres; Iryna Kozeretska; Oleksandr M Maistrenko; Catherine Montchamp-Moreau; Dmitry V Mukha; Heather E Machado; Keric Lamb; Tânia Paulo; Leeban Yusuf; Antonio Barbadilla; Dmitri Petrov; Paul Schmidt; Josefa Gonzalez; Thomas Flatt; Alan O Bergland
Journal:  Mol Biol Evol       Date:  2021-12-09       Impact factor: 16.240

4.  Highly contiguous assemblies of 101 drosophilid genomes.

Authors:  Bernard Y Kim; Jeremy R Wang; Daniel R Matute; Dmitri A Petrov; Danny E Miller; Olga Barmina; Emily Delaney; Ammon Thompson; Aaron A Comeault; David Peede; Emmanuel R R D'Agostino; Julianne Pelaez; Jessica M Aguilar; Diler Haji; Teruyuki Matsunaga; Ellie E Armstrong; Molly Zych; Yoshitaka Ogawa; Marina Stamenković-Radak; Mihailo Jelić; Marija Savić Veselinović; Marija Tanasković; Pavle Erić; Jian-Jun Gao; Takehiro K Katoh; Masanori J Toda; Hideaki Watabe; Masayoshi Watada; Jeremy S Davis; Leonie C Moyle; Giulia Manoli; Enrico Bertolini; Vladimír Košťál; R Scott Hawley; Aya Takahashi; Corbin D Jones; Donald K Price; Noah Whiteman; Artyom Kopp
Journal:  Elife       Date:  2021-07-19       Impact factor: 8.713

  4 in total

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