Literature DB >> 11112176

Population genomics: genome-wide sampling of insect populations.

W C Black1, C F Baer, M F Antolin, N M DuTeau.   

Abstract

Modern population genetics underwent a major paradigm shift during the last decade of the 20th century with the discovery that thousands of genes of known function and position in a genome can be analyzed simultaneously in a single individual. The impact of this technology on insect population genetics is potentially profound. Sampling distributions of genetic statistics can now be derived from many individual loci or among many segregating sites within a gene. Inferences regarding random mating, gene flow, effective population sizes, disequilibrium, and relatedness among populations can now be based on patterns of variation at many loci. More importantly, genome-wide sampling enables population geneticists to distinguish effects that act on the whole genome from those that act on individual loci or nucleotides. We introduce the term "population genomics" to describe the process of simultaneous sampling of numerous variable loci within a genome and the inference of locus-specific effects from the sample distributions. The four critical assumptions implicit in the population genomics approach are explained in detail. Studies adopting this paradigm are reviewed, and the steps necessary to complete a population genomics study are outlined.

Mesh:

Year:  2001        PMID: 11112176     DOI: 10.1146/annurev.ento.46.1.441

Source DB:  PubMed          Journal:  Annu Rev Entomol        ISSN: 0066-4170            Impact factor:   19.686


  42 in total

1.  Interrogating a high-density SNP map for signatures of natural selection.

Authors:  Joshua M Akey; Ge Zhang; Kun Zhang; Li Jin; Mark D Shriver
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

2.  Harnessing genomics for delineating conservation units.

Authors:  W Chris Funk; John K McKay; Paul A Hohenlohe; Fred W Allendorf
Journal:  Trends Ecol Evol       Date:  2012-06-21       Impact factor: 17.712

3.  Genotype-Frequency Estimation from High-Throughput Sequencing Data.

Authors:  Takahiro Maruki; Michael Lynch
Journal:  Genetics       Date:  2015-07-29       Impact factor: 4.562

4.  A multilocus sequence survey in Arabidopsis thaliana reveals a genome-wide departure from a neutral model of DNA sequence polymorphism.

Authors:  Karl J Schmid; Sebastian Ramos-Onsins; Henriette Ringys-Beckstein; Bernd Weisshaar; Thomas Mitchell-Olds
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

Review 5.  Multilocus phylogeography and phylogenetics using sequence-based markers.

Authors:  Patrícia H Brito; Scott V Edwards
Journal:  Genetica       Date:  2008-07-24       Impact factor: 1.082

6.  Microsatellite diversities and gene flow in the tsetse fly, Glossina morsitans s.l.

Authors:  E S Krafsur; M A Endsley
Journal:  Med Vet Entomol       Date:  2002-09       Impact factor: 2.739

Review 7.  Evolution and population genomics of the Lyme borreliosis pathogen, Borrelia burgdorferi.

Authors:  Stephanie N Seifert; Camilo E Khatchikian; Wei Zhou; Dustin Brisson
Journal:  Trends Genet       Date:  2015-03-09       Impact factor: 11.639

Review 8.  Ancient population genomics and the study of evolution.

Authors:  M Parks; S Subramanian; C Baroni; M C Salvatore; G Zhang; C D Millar; D M Lambert
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-01-19       Impact factor: 6.237

9.  Restriction Site Tiling Analysis: accurate discovery and quantitative genotyping of genome-wide polymorphisms using nucleotide arrays.

Authors:  Melissa H Pespeni; Thomas A Oliver; Mollie K Manier; Stephen R Palumbi
Journal:  Genome Biol       Date:  2010-04-19       Impact factor: 13.583

10.  Genome scan to assess the respective role of host-plant and environmental constraints on the adaptation of a widespread insect.

Authors:  Stéphanie Manel; Cyrille Conord; Laurence Després
Journal:  BMC Evol Biol       Date:  2009-12-10       Impact factor: 3.260

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.