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Researching on the fine structure and admixture of the worldwide chicken population reveal connections between populations and important events in breeding history
State Key Laboratory for Agro‐Biotechnology China Agricultural University Beijing China;Beijing Advanced Innovation Center for Food Nutrition and Human Health China Agricultural University Beijing China;Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden.ORCID iD: 0000-0002-2452-9721
Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden.
Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden.
State Key Laboratory for Agro‐Biotechnology China Agricultural University Beijing China.
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2021 (English)In: Evolutionary Applications, E-ISSN 1752-4571, Vol. 15, no 4, p. 553-564Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2021. Vol. 15, no 4, p. 553-564
National Category
Genetics and Breeding in Agricultural Sciences
Identifiers
URN: urn:nbn:se:uu:diva-527018DOI: 10.1111/eva.13241OAI: oai:DiVA.org:uu-527018DiVA, id: diva2:1853350
Funder
Swedish Research Council, 2018‐05991Swedish Research Council, 2018‐05973Available from: 2024-04-22 Created: 2024-04-22 Last updated: 2024-04-22
In thesis
1. Exploring the Genetic Landscape of Chicken Populations: Admixture, Growth QTLs, and Long-Term Selection Dynamics
Open this publication in new window or tab >>Exploring the Genetic Landscape of Chicken Populations: Admixture, Growth QTLs, and Long-Term Selection Dynamics
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis analyzes the genetic structure of chicken populations across different breeding histories and environments. Genomic methodologies were used to uncover complex traits and domestication history over time. The work consists of three studies contributing to a broader understanding of chicken genetic diversity and the impact of selective breeding practices.

The first study delves into the global chicken population, using genome-wide analysis to uncover the intricate fine structure and historical admixture events that have shaped these populations. The research has unveiled significant connections between populations and pivotal breeding events, highlighting the complex relationships within chicken populations. This study offers intriguing insights into the genetic continuity and admixture patterns across diverse chicken breeds, from junglefowl to commercial lines.

The second study focuses on the genetic complexity within a specific quantitative trait locus (QTL) region known as Growth1, which is influential in chicken growth. This study, conducted using an advanced intercross line from the Virginia body weight line, identifies significant additive, haplotype, and epistasis effects within the Growth1 QTL region. The findings challenge simplistic genetic models by demonstrating the involvement of multiple loci in regulating body weight and contribute to understanding complex trait architecture.

The third study extends the investigation to the long-term effects of selection on chicken lines, providing a deeper understanding of the genetic mechanisms underlying selection responses. By mapping multiple additive QTLs associated with body weight compared with the GWA study results, several novel regions were determined and are still contributing to the selection response even after 40 generations of intense selection.

These different views provide practical insights into chickens' intricate genetic makeup. By analyzing their domestication history, genetic variation effects, and the population's response to selective breeding, we better understand one of the most important economic organisms for humans — the chicken. This understanding can potentially inform and improve selective breeding practices, leading to more efficient and sustainable poultry production.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 36
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 2053
Keywords
Virginia Chicken Lines, population genetics, QTL, admixture, selective breeding, bioinformatics
National Category
Genetics and Breeding in Agricultural Sciences
Research subject
Bioinformatics
Identifiers
urn:nbn:se:uu:diva-527022 (URN)978-91-513-2137-0 (ISBN)
Public defence
2024-06-13, room A1:111a, BMC, Husargatan 3, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2024-05-17 Created: 2024-04-22 Last updated: 2024-05-17

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