Literature DB >> 27649617

The 'heritability' of domestication and its functional partitioning in the pig.

M Pérez-Enciso1,2,3, G de Los Campos4, N Hudson1, J Kijas1, A Reverter1.   

Abstract

We propose to estimate the proportion of variance explained by regression on genome-wide markers (or genomic heritability) when wild/domestic status is considered the phenotype of interest. This approach differs from the standard Fst in that it can accommodate genetic similarity between individuals in a general form. We apply this strategy to complete genome data from 47 wild and domestic pigs from Asia and Europe. When we partitioned the total genomic variance into components associated to subsets of single nucleotide polymorphisms (SNPs) defined in terms of their annotation, we found that potentially deleterious non-synonymous mutations (9566 SNPs) explained as much genetic variance as the whole set of 25 million SNPs. This suggests that domestication may have affected protein sequence to a larger extent than regulatory or other kinds of mutations. A pathway-guided analysis revealed ovarian steroidogenesis and leptin signaling as highly relevant in domestication. The genomic regression approach proposed in this study revealed molecular processes not apparent through typical differentiation statistics. We propose that at least some of these processes are likely new discoveries because domestication is a dynamic process of genetic selection, which may not be completely characterized by a static metric like Fst. Nevertheless, and despite some particularly influential mutation types or pathways, our analyses tend to rule out a simplistic genetic basis for the domestication process: neither a single pathway nor a unique set of SNPs can explain the process as a whole.

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Year:  2016        PMID: 27649617      PMCID: PMC5234480          DOI: 10.1038/hdy.2016.78

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  57 in total

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2.  Efficient methods to compute genomic predictions.

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3.  Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.

Authors:  José Crossa; Gustavo de Los Campos; Paulino Pérez; Daniel Gianola; Juan Burgueño; José Luis Araus; Dan Makumbi; Ravi P Singh; Susanne Dreisigacker; Jianbing Yan; Vivi Arief; Marianne Banziger; Hans-Joachim Braun
Journal:  Genetics       Date:  2010-09-02       Impact factor: 4.562

4.  Worldwide phylogeography of wild boar reveals multiple centers of pig domestication.

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Journal:  Science       Date:  2005-03-11       Impact factor: 47.728

5.  Evidence for polygenic adaptation to pathogens in the human genome.

Authors:  Josephine T Daub; Tamara Hofer; Emilie Cutivet; Isabelle Dupanloup; Lluis Quintana-Murci; Marc Robinson-Rechavi; Laurent Excoffier
Journal:  Mol Biol Evol       Date:  2013-04-26       Impact factor: 16.240

6.  Common SNPs explain a large proportion of the heritability for human height.

Authors:  Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

7.  YAP1 increases organ size and expands undifferentiated progenitor cells.

Authors:  Fernando D Camargo; Sumita Gokhale; Jonathan B Johnnidis; Dongdong Fu; George W Bell; Rudolf Jaenisch; Thijn R Brummelkamp
Journal:  Curr Biol       Date:  2007-11-01       Impact factor: 10.834

8.  Genome sequencing and analysis of Mangalica, a fatty local pig of Hungary.

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Journal:  BMC Genomics       Date:  2014-09-05       Impact factor: 3.969

9.  Hybrid origin of European commercial pigs examined by an in-depth haplotype analysis on chromosome 1.

Authors:  Mirte Bosse; Ole Madsen; Hendrik-Jan Megens; Laurent A F Frantz; Yogesh Paudel; Richard P M A Crooijmans; Martien A M Groenen
Journal:  Front Genet       Date:  2015-01-05       Impact factor: 4.599

10.  Analyses of pig genomes provide insight into porcine demography and evolution.

Authors:  Martien A M Groenen; Alan L Archibald; Hirohide Uenishi; Christopher K Tuggle; Yasuhiro Takeuchi; Max F Rothschild; Claire Rogel-Gaillard; Chankyu Park; Denis Milan; Hendrik-Jan Megens; Shengting Li; Denis M Larkin; Heebal Kim; Laurent A F Frantz; Mario Caccamo; Hyeonju Ahn; Bronwen L Aken; Anna Anselmo; Christian Anthon; Loretta Auvil; Bouabid Badaoui; Craig W Beattie; Christian Bendixen; Daniel Berman; Frank Blecha; Jonas Blomberg; Lars Bolund; Mirte Bosse; Sara Botti; Zhan Bujie; Megan Bystrom; Boris Capitanu; Denise Carvalho-Silva; Patrick Chardon; Celine Chen; Ryan Cheng; Sang-Haeng Choi; William Chow; Richard C Clark; Christopher Clee; Richard P M A Crooijmans; Harry D Dawson; Patrice Dehais; Fioravante De Sapio; Bert Dibbits; Nizar Drou; Zhi-Qiang Du; Kellye Eversole; João Fadista; Susan Fairley; Thomas Faraut; Geoffrey J Faulkner; Katie E Fowler; Merete Fredholm; Eric Fritz; James G R Gilbert; Elisabetta Giuffra; Jan Gorodkin; Darren K Griffin; Jennifer L Harrow; Alexander Hayward; Kerstin Howe; Zhi-Liang Hu; Sean J Humphray; Toby Hunt; Henrik Hornshøj; Jin-Tae Jeon; Patric Jern; Matthew Jones; Jerzy Jurka; Hiroyuki Kanamori; Ronan Kapetanovic; Jaebum Kim; Jae-Hwan Kim; Kyu-Won Kim; Tae-Hun Kim; Greger Larson; Kyooyeol Lee; Kyung-Tai Lee; Richard Leggett; Harris A Lewin; Yingrui Li; Wansheng Liu; Jane E Loveland; Yao Lu; Joan K Lunney; Jian Ma; Ole Madsen; Katherine Mann; Lucy Matthews; Stuart McLaren; Takeya Morozumi; Michael P Murtaugh; Jitendra Narayan; Dinh Truong Nguyen; Peixiang Ni; Song-Jung Oh; Suneel Onteru; Frank Panitz; Eung-Woo Park; Hong-Seog Park; Geraldine Pascal; Yogesh Paudel; Miguel Perez-Enciso; Ricardo Ramirez-Gonzalez; James M Reecy; Sandra Rodriguez-Zas; Gary A Rohrer; Lauretta Rund; Yongming Sang; Kyle Schachtschneider; Joshua G Schraiber; John Schwartz; Linda Scobie; Carol Scott; Stephen Searle; Bertrand Servin; Bruce R Southey; Goran Sperber; Peter Stadler; Jonathan V Sweedler; Hakim Tafer; Bo Thomsen; Rashmi Wali; Jian Wang; Jun Wang; Simon White; Xun Xu; Martine Yerle; Guojie Zhang; Jianguo Zhang; Jie Zhang; Shuhong Zhao; Jane Rogers; Carol Churcher; Lawrence B Schook
Journal:  Nature       Date:  2012-11-15       Impact factor: 49.962

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  3 in total

1.  RAPID COMMUNICATION: A haplotype information theory method reveals genes of evolutionary interest in European vs. Asian pigs.

Authors:  Nicholas J Hudson; Marina Naval-Sánchez; Laercio Porto-Neto; Miguel Pérez-Enciso; Antonio Reverter
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

2.  A Pathway-Centered Analysis of Pig Domestication and Breeding in Eurasia.

Authors:  Jordi Leno-Colorado; Nick J Hudson; Antonio Reverter; Miguel Pérez-Enciso
Journal:  G3 (Bethesda)       Date:  2017-07-05       Impact factor: 3.154

3.  Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions.

Authors:  Lino C Ramírez-Ayala; Dominique Rocha; Sebas E Ramos-Onsins; Jordi Leno-Colorado; Mathieu Charles; Olivier Bouchez; Yoel Rodríguez-Valera; Miguel Pérez-Enciso; Yuliaxis Ramayo-Caldas
Journal:  Genet Sel Evol       Date:  2021-01-04       Impact factor: 4.297

  3 in total

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