The relationship between MFN1 copy number variation and growth traits of beef cattle

Yao, Zhilei; Li, Jiaxiao; Zhang, Zijing; Chai, Yanan; Liu, Xian; Li, Jungang; Huang, Yajun; Li, Lijuan; Huang, Wenyuan; Yang, Guojie; Chen, Fuying; Shi, Qiaoting; Ru, Baorui; Lei, Chuzhao; Wang, Eryao; Huang, Yongzhen

doi:10.1016/j.gene.2021.146071

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…Mitochondrial fusion protein 1 (MFN1) is a key regulator of mitochondrial fusion in mammalian cells, playing a pivotal role in maintaining the stability of mitochondrial morphology. The copy number of this gene was found to be related to the growth traits of beef cattle [ 24 ]. NCK-associated protein 5 ( NCKAP5 ) was found to be potentially associated with important phenotypes in Limousin cattle [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Whole-genome sequencing reveals genomic diversity and selection signatures in Xia’nan cattle

Song,

Yao,

Zhang

et al. 2024

BMC Genomics

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Background The crossbreeding of specialized beef cattle breeds with Chinese indigenous cattle is a common method of genetic improvement. Xia’nan cattle, a crossbreed of Charolais and Nanyang cattle, is China’s first specialized beef cattle breed with independent intellectual property rights. After more than two decades of selective breeding, Xia’nan cattle exhibit a robust physique, good environmental adaptability, good tolerance to coarse feed, and high meat production rates. This study analyzed the population genetic structure, genetic diversity, and genomic variations of Xia’nan cattle using whole-genome sequencing data from 30 Xia’nan cattle and 178 published cattle genomic data. Result The ancestry estimating composition analysis showed that the ancestry proportions for Xia’nan cattle were mainly Charolais with a small amount of Nanyang cattle. Through the genetic diversity studies (nucleotide diversity and linkage disequilibrium decay), we found that the genomic diversity of Xia’nan cattle is higher than that of specialized beef cattle breeds in Europe but lower than that of Chinese native cattle. Then, we used four methods to detect genome candidate regions influencing the excellent traits of Xia’nan cattle. Among the detected results, 42 genes (θπ and CLR) and 131 genes (FST and XP-EHH) were detected by two different detection strategies. In addition, we found a region in BTA8 with strong selection signals. Finally, we conducted functional annotation on the detected genes and found that these genes may influence body development (NR6A1), meat quality traits (MCCC1), growth traits (WSCD1, TMEM68, MFN1, NCKAP5), and immunity (IL11RA, CNTFR, CCL27, SLAMF1, SLAMF7, NAA35, and GOLM1). Conclusion We elucidated the genomic features and population structure of Xia’nan cattle and detected some selection signals in genomic regions potentially associated with crucial economic traits in Xia’nan cattle. This research provided a basis for further breeding improvements in Xia’nan cattle and served as a reference for genetic enhancements in other crossbreed cattle.

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Section: Discussionmentioning

confidence: 99%

Whole-genome sequencing reveals genomic diversity and selection signatures in Xia’nan cattle

Song,

Yao,

Zhang

et al. 2024

BMC Genomics

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“…Globally, the ever-increasing consumption of beef products poses high levels of stress on environmental protection and the energy supply [1] and thereby the precise breeding of beef cattle has become the mainstream activity for growers and breeders alike. The precise acquisition of body dimension data plays a vital role in evaluating the body weight [2], breeding value [3], dressing percentage [4], beef yield [4], body fat rate [5], and growth performance [6] of beef cattle, and it is of great significance for beef cattle breeding management, disease warning, yield estimation, and selective breeding. The body dimension measurement of beef cattle is commonly carried out with the assistance of tape measures and measuring sticks [7], which usually takes around 3-5 min per animal.…”

Section: Introductionmentioning

confidence: 99%

Key Region Extraction and Body Dimension Measurement of Beef Cattle Using 3D Point Clouds

et al. 2022

Agriculture

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Body dimensions are key indicators for the beef cattle fattening and breeding process. On-animal measurement is relatively inefficient, and can induce severe stress responses among beef cattle and pose a risk for operators, thereby impacting the cattle’s growth rate and wellbeing. To address the above issues, a highly efficient and automatic method was developed to measure beef cattle’s body dimensions, including the oblique length, height, width, abdominal girth, and chest girth, based on the reconstructed three-dimensional point cloud data. The horizontal continuous slice sequence of the complete point clouds was first extracted, and the central point of the beef cattle leg region was determined from the span distribution of the point cloud clusters in the targeted slices. Subsequently, the boundary of the beef cattle leg region was identified by the “five-point clustering gradient boundary recognition algorithm” and was then calibrated, followed by the accurate segmentation of the corresponding region. The key regions for body dimension data calculation were further determined by the proposed algorithm, which forms the basis of the scientific calculation of key body dimensions. The influence of different postures of beef cattle on the measurement results was also preliminarily discussed. The results showed that the errors of calculated body dimensions, i.e., the oblique length, height, width, abdominal girth, and chest girth, were 2.3%, 2.8%, 1.6%, 2.8%, and 2.6%, respectively. In the present work, the beef cattle body dimensions could be effectively measured based on the 3D regional features of the point cloud data. The proposed algorithm shows a degree of generalization and robustness that is not affected by different postures of beef cattle. This automatic method can be effectively used to collect reliable phenotype data during the fattening of beef cattle and can be directly integrated into the breeding process.

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“…Recently, CNVs have been used to facilitate optimized cattle and sheep breeding. For example, MFN1 gene CNVs have been shown to influence Qinchuan cattle body size [ 6 ], while Fec B CNVs are closely related to fertility traits in sheep [ 7 ]. In yaks, CADM2 CNVs are reportedly correlated with body weight [ 8 ], whereas HPGDS CNVs are significantly associated with both body weight and body length [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Copy Number Variations in the MICALL2 and MOGAT2 Genes Are Associated with Ashidan Yak Growth Traits

Liu

Huang

Dai

et al. 2022

Animals

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Copy number variations (CNVs) are a result of genomic rearrangement affecting DNA regions over 1 kb in length, and can include inversions, translocations, deletions, and duplications. The molecule interacting with CasL-like protein 2 (MICALL2) gene is primarily associated with mitochondrial protein targeting and exhibits predicted stress fiber colocalization. The monoacylglycerol O-acyltransferase 2 (MOGAT2) gene encodes an enzyme responsible for catalyzing diacylglycerol synthesis from 2-monoacylglycerol and fatty acyl-CoA. For this study, blood samples were obtained from 315 yaks, and the body weight, body length, withers height, and chest girth of these animals were measured at 6, 12, 18, and 30 months of age. Genomic DNA was harvested from the collected blood samples, and CNVs in these samples were detected by qPCR. The resultant data were compared using ANOVAs, revealing significant associations between MICALL2 gene CNVs and body weight at 6 months of age (p < 0.05), body length and chest girth at 30 months of age (p < 0.05), and withers height at 18 months of age (p < 0.01) in Ashidan yaks. Similarly, MOGAT2 CNVs were significantly associated with body weight at 6 and 30 months of age (p < 0.05), and with withers height at 18 months of age (p < 0.01) in these Ashidan yaks. MICALL2 and MOGAT2 gene expression was further analyzed in yak tissue samples, revealing that MICALL2 was most highly expressed in the adipose tissue, whereas MOGAT2 was most highly expressed in the lung. These results thus confirmed the relationship between CNVs in the MICALL2 and MOGAT2 genes and Ashidan yak growth traits, providing a valuable gene locus that can be leveraged for future marker-assisted yak breeding efforts.

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The relationship between MFN1 copy number variation and growth traits of beef cattle

Cited by 5 publications

References 23 publications

Whole-genome sequencing reveals genomic diversity and selection signatures in Xia’nan cattle

Whole-genome sequencing reveals genomic diversity and selection signatures in Xia’nan cattle

Key Region Extraction and Body Dimension Measurement of Beef Cattle Using 3D Point Clouds

Copy Number Variations in the MICALL2 and MOGAT2 Genes Are Associated with Ashidan Yak Growth Traits

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