Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations

  • Songsong Xu
  • , Zhanerke Akhatayeva
  • , Jiaxin Liu
  • , Xueyan Feng
  • , Yi Yu
  • , Bouabid Badaoui
  • , Ali Esmailizadeh
  • , Juha Kantanen
  • , Marcel Amills
  • , Johannes A Lenstra
  • , Anna M Johansson
  • , David W Coltman
  • , George E Liu
  • , Ino Curik
  • , Pablo Orozco-terWengel
  • , Samuel R Paiva
  • , Natalia A Zinovieva
  • , Linwei Zhang
  • , Ji Yang
  • , Zhihong Liu
  • Yachun Wang, Ying Yu, Menghua Li

Research output: Contribution to journalReview articlepeer-review

Abstract

Ruminant livestock provide a rich source of products, such as meat, milk, and wool, and play a critical role in global food security and nutrition. Over the past few decades, genomic studies of ruminant livestock have provided valuable insights into their domestication and the genetic basis of economically important traits, facilitating the breeding of elite varieties. In this review, we summarize the main advancements for domestic ruminants in reference genome assemblies, population genomics, and the identification of functional genes or variants for phenotypic traits. These traits include meat and carcass quality, reproduction, milk production, feed efficiency, wool and cashmere yield, horn development, tail type, coat color, environmental adaptation, and disease resistance. Functional genomic research is entering a new era with the advancements of graphical pangenomics and telomere-to-telomere (T2T) gap-free genome assembly. These advancements promise to improve our understanding of domestication and the molecular mechanisms underlying economically important traits in ruminant livestock. Finally, we provide new perspectives and future directions for genomic research on ruminant genomes. We suggest how ever-increasing multiomics datasets will facilitate future studies and molecular breeding in livestock, including the potential to uncover novel genetic mechanisms underlying phenotypic traits, to enable more accurate genomic prediction models, and to accelerate genetic improvement programs.

Original languageEnglish
Pages (from-to)934–960
Number of pages27
JournalScience China Life Sciences
Volume68
Issue number4
Early online date26 Nov 2024
DOIs
Publication statusPublished - 2025

Bibliographical note

Publisher Copyright:
© Science China Press 2024.

Funding

This work was supported by the Project of Northern Agriculture and Livestock Husbandry Technology Innovation Center, Chinese Academy of Agricultural Sciences (BFGJ2022002), the National Key Research and Development Program of China (2021YFD1200900, 2023YFF1001003, and 2023YFF1000900), Biological Breeding-National Science and Technology Major Project (2023ZD0407106), the National Natural Science Foundation of China (32102511, 31661143014, 31972527, 32320103006, and 32272845), Chinese Universities Scientific Fund (2024TC162), and National High Level Hospital Clinical Research Funding (2023-NHLHCRF-YXHZ-TJMS-09). We thank the High-performance Computing Platform of China Agricultural University for providing computing resources.

FundersFunder number
Project of Northern Agriculture and Livestock Husbandry Technology Innovation Center, Chinese Academy of Agricultural SciencesBFGJ2022002
National High Level Hospital Clinical Research Funding2023-NHLHCRF-YXHZ-TJMS-09
Chinese Universities Scientific Fund2024TC162
National Key Research and Development Program of China2023YFF1001003, 2021YFD1200900, 2023YFF1000900
Biological Breeding-National Science and Technology Major Project2023ZD0407106
National Natural Science Foundation of China31972527, 31661143014, 32102511, 32320103006, 32272845

    Keywords

    • domestication
    • genetic improvement
    • genomics
    • ruminant livestock

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