10.6084/M9.FIGSHARE.14673984
Dan Hou
Dan
Hou
Panpan Qin
Panpan
Qin
Xinran Niu
Xinran
Niu
Tong Li
Tong
Li
Bingjie Chen
Bingjie
Chen
Chengjie Wei
Chengjie
Wei
Zhenzhu Jing
Zhenzhu
Jing
Ruili Han
Ruili
Han
Hong Li
Hong
Li
Xiaojun Liu
Xiaojun
Liu
Yadong Tian
Yadong
Tian
Donghua Li
Donghua
Li
Zhuanjian Li
Zhuanjian
Li
Hanfang Cai
Hanfang
Cai
Xiangtao Kang
Xiangtao
Kang
Genome-wide identification evolution and expression of vestigial-like gene family in chicken
<p><i>Vestigial-like</i> (<i>Vgll</i>) genes are widespread in vertebrates and play an important role in muscle development. In this study, we used bioinformatics methods to systematically identify the chicken <i>VGLL</i> family in the whole genome and investigated its evolutionary history and gene structure features. Tissue expression spectra combined with real-time PCR data were used to analyze the organizational expression pattern of the genes. Based on the maximum likelihood method, a phylogenetic tree of the <i>VGLL</i> family was constructed, and 94 <i>VGLL</i> genes were identified in 24 breeds, among which four <i>VGLL</i> family genes were identified in the chicken genome. Ten motifs were detected in the <i>VGLL</i> genes, and the analysis of introns combined with gene structure revealed that the family was conserved during evolution. Tissue expression analysis suggested that the expression profiles of the <i>VGLL</i> family genes in 16 tissues differed between LU Shi and AA broilers. In addition, a single gene (<i>VGLL2</i>) showed increased expression in chickens at embryonic days 10–16 and was involved in the growth and development of skeletal muscle in chickens in the embryonic stage. In summary, <i>VGLL</i> genes are involved in chicken muscle growth and development, which provides useful information for subsequent functional studies of <i>VGLL</i> genes.</p>
Medicine
Genetics
Molecular Biology
Evolutionary Biology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Developmental Biology
Infectious Diseases
Computational Biology
Taylor & Francis
2021
2021-05-25
2023-06-06
Dataset
17731 Bytes
10.1080/10495398.2021.1920425
CC BY 4.0