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Tytuł pozycji:

Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data

Tytuł:
Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
Autorzy:
Shunjin Zhang
Zhi Yao
Xinmiao Li
Zijing Zhang
Xian Liu
Peng Yang
Ningbo Chen
Xiaoting Xia
Shijie Lyu
Qiaoting Shi
Eryao Wang
Baorui Ru
Yu Jiang
Chuzhao Lei
Hong Chen
Yongzhen Huang
Temat:
Pinan cattle
WGS
Genetic diversity
Population Structure
DCMS
Biotechnology
TP248.13-248.65
Genetics
QH426-470
Źródło:
BMC Genomics, Vol 23, Iss 1, Pp 1-10 (2022)
Wydawca:
BMC, 2022.
Rok publikacji:
2022
Kolekcja:
LCC:Biotechnology
LCC:Genetics
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
1471-2164
Relacje:
https://doaj.org/toc/1471-2164
DOI:
10.1186/s12864-022-08645-y
Dostęp URL:
https://doaj.org/article/76f7f7f9b0cd4f93bc0697816c170414  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.76f7f7f9b0cd4f93bc0697816c170414
Czasopismo naukowe
Abstract Background Crossbreeding is an important way to improve production beef cattle performance. Pinan cattle is a new hybrid cattle obtained from crossing Piedmontese bulls with Nanyang cows. After more than 30 years of cross-breeding, Pinan cattle show a variety of excellent characteristics, including fast growth, early onset of puberty, and good meat quality. In this study, we analyzed the genetic diversity, population structure, and genomic region under the selection of Pinan cattle based on whole-genome sequencing data of 30 Pinan cattle and 169 published cattle genomic data worldwide. Results Estimating ancestry composition analysis showed that the composition proportions for our Pinan cattle were mainly Piedmontese and a small amount of Nanyang cattle. The analyses of nucleotide diversity and linkage disequilibrium decay indicated that the genomic diversity of Pinan cattle was higher than that of European cattle and lower than that of Chinese indigenous cattle. De-correlated composite of multiple selection signals, which combines four different statistics including θπ, CLR, FST, and XP-EHH, was computed to detect the signatures of selection in the Pinan cattle genome. A total of 83 genes were identified, affecting many economically important traits. Functional annotation revealed that these selected genes were related to immune (BOLA-DQA2, BOLA-DQB, LSM14A, SEC13, and NAALADL2), growth traits (CYP4A11, RPL26, and MYH10), embryo development (REV3L, NT5E, CDX2, KDM6B, and ADAMTS9), hornless traits (C1H21orf62), and climate adaptation (ANTXR2). Conclusion In this paper, we elucidated the genomic characteristics, ancestry composition, and selective signals related to important economic traits in Pinan cattle. These results will provide the basis for further genetic improvement of Pinan cattle and reference for other hybrid cattle related studies.
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