Guangxin E

Prof. Dr. Guangxin E

College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing 400716, China
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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 January 2021 in Animals
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Journal Article
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XDXinghai Duan
Xinghai Duan
BABingxing An
Bingxing An
LDLili Du
Lili Du
TCTianpeng Chang
Tianpeng Chang
MLMang Liang
Mang Liang
HGHui Jiang Gao
Hui Jiang Gao
The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed at 0, 6, 12, and 18 months of age were used to fit the growth curve. The Gompertz model showed the highest coefficient of determination (R2 = 0.954). The parameters’ mature body weight (A), time-scale parameter (b), and maturity rate (K) were treated as phenotypes for single-trait GWAS and multi-trait GWAS. In total, 9, 49, and 7 significant SNPs associated with A, b, and K were identified by single-trait GWAS; 22 significant single nucleotide polymorphisms (SNPs) were identified by multi-trait GWAS. Among them, we observed several candidate genes, including PLIN3, KCNS3, TMCO1, PRKAG3, ANGPTL2, IGF-1, SHISA9, and STK3, which were previously reported to associate with growth and development. Further research for these candidate genes may be useful for exploring the full genetic architecture underlying growth and development traits in livestock.

17 August 2019 in 3 Biotech
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GEGuangxin E
Guangxin E
XDXing-Hai Duan
Xing-Hai Duan
JZJia-Hua Zhang
Jia-Hua Zhang
YHYongfu Huang
Yongfu Huang
Yongju ZhaoYongju Zhao
Yongju Zhao
YZYan Zeng
Yan Zeng
Litter size is considered to be the most important index for estimating domestic animal productivity. The number of indigenous goats in China with higher litter sizes than those of commercial breeds in other countries may be helpful for accelerating genetic improvements in goat breeding. We performed a genome-wide selective sweep analysis of 31 Dazu black goats with extreme standard deviation in litter size within the third fetus to identify significant genomic regions and candidate genes through different analyses. The analysis identified a total of 33,917,703 variants, including 32,262,179 SNPs and 1,655,524 indels. In addition, two novel candidate genes (LRP1B and GLRB), which are related to litter size, were obtained with π, Tajima’s D, πA/πB, and FST at the individual level with a 95% threshold for each parameter. These two genes were annotated in five GO terms (localization, binding, macromolecular complex, membrane part, and membrane) and two pathways (long-term depression and neuroactive ligand-receptor interaction pathway). Regarding the result of linkage disequilibrium (LD) analysis, in LRP1B and GRID2, the high-yield Dazu black goats exhibit significantly different LD patterns from low-yield goats. Litter size variability has low heritability and is related to multiple complex factors found in domestic animals. Obtaining a clear explanation and significant signal by genome-wide selective sweep analysis with a small sample size is difficult. However, we investigated some candidate genes, particularly LRP1B and GLRB, which may provide useful information for further research.

7 May 2019 in Journal of Animal Breeding and Genetics
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GEGuangxin E
Guangxin E
WBWang‐Dui Basang
Wang‐Dui Basang
YZYan‐Bin Zhu
Yan‐Bin Zhu

12 July 2022 in Molecular Ecology
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Journal Article
Open access
VCVarGoats Consortium
VarGoats Consortium
INIsaäc J. Nijman
Isaäc J. Nijman
BRBenjamin D. Rosen
Benjamin D. Rosen
PBPhilippe Bardou
Philippe Bardou
TFThomas Faraut
Thomas Faraut
JLJohannes A. Lenstra
Johannes A. Lenstra
By their paternal transmission, Y‐chromosomal haplotypes are sensitive markers of population history and male‐mediated introgression. Previous studies identified biallelic single‐nucleotide variants in the SRY, ZFY and DDX3Y genes, which in domestic goats identified four major Y‐chromosomal haplotypes, Y1A, Y1B, Y2A and Y2B, with a marked geographical partitioning. Here, we extracted goat Y‐chromosomal variants from whole‐genome sequences of 386 domestic goats (75 breeds) and seven wild goat species, which were generated by the VarGoats goat genome project. Phylogenetic analyses indicated domestic haplogroups corresponding to Y1B, Y2A and Y2B, respectively, whereas Y1A is split into Y1AA and Y1AB. All five haplogroups were detected in 26 ancient DNA samples from southeast Europe or Asia. Haplotypes from present‐day bezoars are not shared with domestic goats and are attached to deep nodes of the trees and networks. Haplogroup distributions for 186 domestic breeds indicate ancient paternal population bottlenecks and expansions during migrations into northern Europe, eastern and southern Asia, and Africa south of the Sahara. In addition, sharing of haplogroups indicates male‐mediated introgressions, most notably an early gene flow from Asian goats into Madagascar and the crossbreeding that in the 19th century resulted in the popular Boer and Anglo‐Nubian breeds. More recent introgressions are those from European goats into the native Korean goat population and from Boer goat into Uganda, Kenya, Tanzania, Malawi and Zimbabwe. This study illustrates the power of the Y‐chromosomal variants for reconstructing the history of domestic species with a wide geographical range.
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29 April 2019 in Ecology and Evolution
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GEGuangxin E
Guangxin E
QHQiong‐Hua Hong
Qiong‐Hua Hong
YZYong‐Ju Zhao
Yong‐Ju Zhao
YMYue‐Hui Ma
Yue‐Hui Ma
MCMing‐Xing Chu
Ming‐Xing Chu
YHYongfu Huang
Yongfu Huang
Background: To assess the genetic diversity of seven Yunnan indigenous goat populations (Fengqing hornless goat, Mile red‐bone goat, Longling goat, Ninglang black goat, Black‐bone goat, Yunling black goat, and Zhaotong goat), their population structures were investigated using 20 microsatellite markers.Results: The results indicated that the genetic diversity of these goats was rich. The observed heterozygosity ranged from 0.4667 ± 0.0243 to 0.5793 ± 0.0230, and the mean number of alleles ranged from 4.80 ± 1.61 and 4.80 ± 1.64 to 6.20 ± 2.93. The population structure analysis showed that these seven goat populations were separated into two clusters, consistent with the results from phylogenetic networks, pairwise differences, and STRUCTURE analyses. We speculate that this may have been caused by natural geographical isolation, human migration and economic and cultural exchanges. We suggest removing CSRD247 and ILSTS005, two loci identified to be under positive selection in the present study, from the microsatellite evaluation system of goats.Conclusions: The present study may provide a scientific basis for the conservation and utilization of Yunnan indigenous goats.

27 June 2019 in Animal Genetics
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GEGuangxin E
Guangxin E
BYB.‐G. Yang
B.‐G. Yang
WBW.‐D. Basang
W.‐D. Basang
YZY.‐B. Zhu
Y.‐B. Zhu
TAT.‐W. An
T.‐W. An
XLX.‐L. Luo
X.‐L. Luo