Large-scale genomic analysis reveals the genetic cost of chicken domestication

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Dokumenter

  • Ming-Shan Wang
  • Jin-Jin Zhang
  • Xing Guo
  • Ming Li
  • Rachel Meyer
  • Hidayat Ashari
  • Zhu-Qing Zheng
  • Sheng Wang
  • Min-Sheng Peng
  • Yu Jiang
  • Mukesh Thakur
  • Chatmongkon Suwannapoom
  • Ali Esmailizadeh
  • Nalini Yasoda Hirimuthugoda
  • Moch Syamsul Arifin Zein
  • Szilvia Kusza
  • Hamed Kharrati-Koopaee
  • Lin Zeng
  • Yun-Mei Wang
  • Ting-Ting Yin
  • Min-Min Yang
  • Ming-Li Li
  • Xue-Mei Lu
  • Emiliano Lasagna
  • Simone Ceccobelli
  • Humpita Gamaralalage Thilini Nisanka Gunwardana
  • Thilina Madusanka Senasig
  • Shao-Hong Feng
  • Hao Zhang
  • Abul Kashem Fazlul Haque Bhuiyan
  • Muhammad Sajjad Khan
  • Gamamada Liyanage Lalanie Pradeepa Silva
  • Le Thi Thuy
  • Okeyo A. Mwai
  • Mohamed Nawaz Mohamed Ibrahim
  • Kai-Xing Qu
  • Olivier Hanotte
  • Beth Shapiro
  • Mirte Bosse
  • Dong-Dong Wu
  • Jian-Lin Han
  • Ya-Ping Zhang

Background: Species domestication is generally characterized by the exploitation of high-impact mutations through processes that involve complex shifting demographics of domesticated species. These include not only inbreeding and artificial selection that may lead to the emergence of evolutionary bottlenecks, but also post-divergence gene flow and introgression. Although domestication potentially affects the occurrence of both desired and undesired mutations, the way wild relatives of domesticated species evolve and how expensive the genetic cost underlying domestication is remain poorly understood. Here, we investigated the demographic history and genetic load of chicken domestication. Results: We analyzed a dataset comprising over 800 whole genomes from both indigenous chickens and wild jungle fowls. We show that despite having a higher genetic diversity than their wild counterparts (average π, 0.00326 vs. 0.00316), the red jungle fowls, the present-day domestic chickens experienced a dramatic population size decline during their early domestication. Our analyses suggest that the concomitant bottleneck induced 2.95% more deleterious mutations across chicken genomes compared with red jungle fowls, supporting the “cost of domestication” hypothesis. Particularly, we find that 62.4% of deleterious SNPs in domestic chickens are maintained in heterozygous states and masked as recessive alleles, challenging the power of modern breeding programs to effectively eliminate these genetic loads. Finally, we suggest that positive selection decreases the incidence but increases the frequency of deleterious SNPs in domestic chicken genomes. Conclusion: This study reveals a new landscape of demographic history and genomic changes associated with chicken domestication and provides insight into the evolutionary genomic profiles of domesticated animals managed under modern human selection.

OriginalsprogEngelsk
Artikelnummer118
TidsskriftBMC Biology
Vol/bind19
Antal sider16
ISSN1741-7007
DOI
StatusUdgivet - 2021

Bibliografisk note

Funding Information:
We thank Laurent A. F. Frantz and Greger Larson for their valuable comments on this study. We thank Jing-Fang Si for his help with the SMC++ analysis. We also thank Shao-Bin Xu and Xiu-Zhen Yang from the High-Performance Computing Center at Kunming Institute of Zoology, CAS, for their support on the computational analyses.

Funding Information:
This work was supported by the National Natural Science Foundation of China (31771415, 31801054, U1902204, 31822048, and 31771405), the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS, XDA2004010301), and the West Light Foundation of CAS (Y902401081). C.S. also thanks to the support of the Unit of Excellence 2021 on Biodiversity and Natural Resources Management, University of Phayao, Thailand. The Youth Innovation Promotion Association of CAS also provided support to M.-S.W. Animal Branch of the Germplasm Bank of Wild Species of CAS (the large research infrastructure funding) also supported this project. The Chinese Government’s contribution to CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources in Beijing (2021-YWF-ZX-02) is appreciated. K.-X.Q was supported by the Young and Middle-aged Academic Technology Leader Backup Talent Cultivation Program in Yunnan Province (2018HB045). This publication has been prepared within the framework of the UNEP/GEF project “Development and application of decision-support tools to conserve and sustainably use genetic diversity in indigenous livestock and wild relatives” and it contributes to the CGIAR Research Program on Livestock.

Publisher Copyright:
© 2021, The Author(s).

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