Xiaoke Zhang

Dr. Xiaoke Zhang

Department of animal breeding and genetics, South China Agricultural University, Guangzhou, Guangdong, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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17 February 2025 in National Science Review
Verified
Journal Article
Open access
ZXZhiting Xu
Zhiting Xu
QLQing Lin
Qing Lin
XCXiaodian Cai
Xiaodian Cai
ZZZhanming Zhong
Zhanming Zhong
JTJinyan Teng
Jinyan Teng
ZZZhe Zhang
Zhe Zhang
Understanding the molecular and cellular mechanisms underlying complex traits in pigs is crucial for enhancing genetic gain via artificial selection and utilizing pigs as models for human disease and biology. Here, we conducted comprehensive genome-wide association studies (GWAS) followed by a cross-breed meta-analysis for 232 complex traits and a within-breed meta-analysis for 12 traits, using 28.3 million imputed sequence variants in 70 328 animals across 14 pig breeds. We identified 6878 quantitative trait loci (QTL) for 139 complex traits. Leveraging the Pig Genotype-Tissue Expression resource, we systematically investigated the biological context and regulatory mechanisms behind these trait-QTLs, ultimately prioritizing 14 829 variant-gene-tissue-trait regulatory circuits. For instance, rs344053754 regulates UGT2B31 expression in the liver and intestines, potentially by modulating enhancer activity, ultimately influencing litter weight at weaning in pigs. Furthermore, we observed conservation of certain genetic and regulatory mechanisms underlying complex traits between humans and pigs. Overall, our cross-breed meta-GWAS in pigs provides invaluable resources and novel insights into the genetic regulatory and evolutionary mechanisms of complex traits in mammals.

20 January 2023 in Animals
Verified
Journal Article
Open access
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Xiaoke ZhangXiaoke Zhang
Xiaoke Zhang
QLQing Lin
Qing Lin
WLWei-Li LIAO
Wei-Li LIAO
WZWenjing Zhang
Wenjing Zhang
TLTingting Li
Tingting Li
HZHao Zhang
Hao Zhang
Semen traits play a key role in the pig industry because boar semen is widely used in purebred and crossbred pigs. The production of high-quality semen is crucial to ensuring a good result in artificial insemination. With the wide application of artificial insemination in the pig industry, more and more attention has been paid to the improvement of semen traits by genetic selection. The purpose of this study was to identify the genetic regions and candidate genes associated with semen traits of Duroc boars. We used weighted single-step GWAS to identify candidate genes associated with sperm motility, sperm progressive motility, sperm abnormality rate and total sperm count in Duroc pigs. In Duroc pigs, the three most important windows for sperm motility—sperm progressive motility, sperm abnormality rate, and total sperm count—explained 12.45%, 9.77%, 15.80%, and 12.15% of the genetic variance, respectively. Some genes that are reported to be associated with spermatogenesis, testicular function and male fertility in mammals have been detected previously. The candidate genes CATSPER1, STRA8, ZSWIM7, TEKT3, UBB, PTBP2, EIF2B2, MLH3, and CCDC70 were associated with semen traits in Duroc pigs. We found a common candidate gene, STRA8, in sperm motility and sperm progressive motility, and common candidate genes ZSWIM7, TEKT3 and UBB in sperm motility and sperm abnormality rate, which confirms the hypothesis of gene pleiotropy. Gene network enrichment analysis showed that STRA8, UBB and CATSPER1 were enriched in the common biological process and participated in male meiosis and spermatogenesis. The SNPs of candidate genes can be given more weight in genome selection to improve the ability of genome prediction. This study provides further insight into the understanding the genetic structure of semen traits in Duroc boars.

26 August 2024 in Poultry Science
Verified
Journal Article
Open access
Xiaoke ZhangXiaoke Zhang
Xiaoke Zhang
YLYunlei Li
Yunlei Li
QLQin Li
Qin Li
TZTao Zhang
Tao Zhang
YSYanyan Sun
Yanyan Sun
Jilan ChenJilan Chen
Jilan Chen
The continuous increasing demand for egg quality and quantity, and the expanding market share have enabled the egg industry to achieve significant benefits through genetic improvement. This study aims to estimate the genetic parameters and explore selectable breeding traits in the purebred Rhode Island Red (RIR) and White Leghorn (WL), which are 2 high-yielding layer breeds, and better understand their underlying genetic basis and accelerate genetic progress. The DMU software was utilized to analyze 12 egg quality traits, including egg length (EL), egg width (EW), egg shape index (ESI), egg weight (EWT), albumen height (AH), yolk color (YC), Haugh unit (HU), yolk weight (YW), albumen weight (AW), albumen-to-egg weight ratio (AWR), yolk-to-albumen ratio (YAR), and yolk-to-egg weight ratio (YWR). In RIR, the heritability of egg quality traits ranged from 0.196 to 0.427, while the repeatability ranged from 0.395 to 0.668. In WL, the heritability of egg quality traits ranged from 0.203 to 0.347, and the repeatability ranged from 0.424 to 0.656. In both RIR and WL, highly strong genetic correlations were observed between AW and EW, as well as between AW and EWT. The genetic correlations for AW and EW were 0.902 in RIR and 0.864 in WL, while the genetic correlations for AW and EWT were 0.981 in RIR and 0.960 in WL. The egg quality traits in both breeds showed moderate heritability, indicating great genetic potential for improvement through selective breeding. This can help breeders meet the increasingly diverse egg preferences of consumers through genetic selection. Additionally, there is a highly strong correlation between egg width/egg weight, and albumen weight in both breeds. In practical production, it is feasible to estimate albumen weight by measuring egg width and egg weight, which can simplify the method for measuring albumen weight. In conclusions, our finding provided valuable insights into the genetic architecture of egg quality traits in RIR and WL chickens. They help our understanding of the potential for genetic improvement of these traits through selective breeding programs.

5 February 2025 in Animals
Verified
Journal Article
Open access
PDF file
Xiaoke ZhangXiaoke Zhang
Xiaoke Zhang
ZXZhiting Xu
Zhiting Xu
QLQing Lin
Qing Lin
YGYahui Gao
Yahui Gao
XQXiaotian Qiu
Xiaotian Qiu
SXShuihua Xie
Shuihua Xie
High-quality semen is an essential factor for the success of artificial insemination, and revealing the genetic structure of pig semen traits helps improve semen quality. This study aimed to identify candidate genes associated with semen traits in three pig breeds (Duroc, Landrace, and Yorkshire) through weighted GWAS and multi-tissue transcriptome analysis. In this study, to identify candidate genes associated with semen traits in Duroc, Landrace, and Yorkshire, we performed weighted GWAS in four traits (sperm motility, sperm progressive motility, sperm abnormality rate, and total sperm count) using 936 pigs and multi-tissue transcriptome analysis using 34 tissues RNA-seq data of 5457 pigs from FarmGTEx. It was found that 16, 9, and 12 significant SNPs associated with semen traits were identified in Duroc, Landrace, and Yorkshire, with corresponding 7, 5, and 7 candidate genes in these three breeds, respectively, which may be involved in mammal spermatogenesis, testicular function, and male fertility. Moreover, we not only found the same candidate gene DNAI2 as in previous studies but also found two new candidate genes PNLDC1 and RSPH3, which were identified simultaneously in both Landrace and Yorkshire. By integrating the GWAS and multi-tissue transcriptome analysis results, we found that candidate genes associated with semen traits of three pig breeds were highly expressed in the testis tissue. The three genotypes of rs320928244 had significant effects on the expression of the DYNLT1 gene in the testis tissue of Landrace. These results together showed that these candidate genes were mainly related to sperm motility defects. This study helps deepen the understanding of the genetic basis of semen traits and provides a theoretical foundation for improving the semen quality of Duroc, Landrace, and Yorkshire breeds.

6 April 2025 in Poultry Science
Verified
Journal Article
Open access
FXFuguang Xue
Fuguang Xue
PMPengyun Ma
Pengyun Ma
YLYunlei Li
Yunlei Li
Xiaoke ZhangXiaoke Zhang
Xiaoke Zhang
XXXinying Xu
Xinying Xu
Jilan ChenJilan Chen
Jilan Chen
The objective of this study was to determine the bidirectional effects between hepatic gene expression and gut microbial communities on regulating the productive performances and egg quality of the layer hens in late-laying period after receiving fasting-induced molting treatment. A total of three hundred and sixty 380-day-old Jingfen No. 6 layer hens from the same batch were randomly divided into the control group (CON) and the fasting-induced molting group (FM), each group contained 9 replicates, with 20 chickens in each replicate. Productive performances and egg quality were meticulously recorded for each replicate, followed by the sampling of one bird from each replicate for the intestinal morphological analysis. The16S rRNA and transcriptomic sequencing methods were conducted for microbial communities and hepatic gene expressions investigation between CON and FM treatments to investigate the potential regulatory effects on productive performances and egg quality. Results showed that the egg production rate showed no significant difference between CON and FM groups before FM treatment, while effectively increased after FM treatment. Egg quality measurement results indicated the FM treatment significantly increased the albumen height and Haugh unit (P < 0.05), which showed no significant discrepancies between CON and FM in the pre-FM stage. Intestinal morphological results showed no significant differences on villus Height, crypt depth, and V/C ratio of jejunum and ileum in the pre-FM stage, while the villus height and crypt depth of the jejunum significantly decreased (P < 0.05) after receiving FM treatment. Bacterial community results showed that indexes of Shannon and sobs significantly increased after FM treatment(P < 0.05). Relative abundances of Alistipes.spp, Faecalicoccus.spp, Peptococcus.spp, Alloprevotella.spp, Sellimonas.spp, Lactobacillus.spp and Bifidobacterium.spp significantly increased (P < 0.05) after receiving FM treatment. Hepatic gene expression results showed that the differential expressed genes are mainly enriched in the Biosynthesis of unsaturated fatty acids, fatty acid elongation, steroid biosynthesis, and PPAR signaling pathways. Bidirectional results showed that hepatic genes and cecal bacterial communities synergistically interacted in modulating egg weight, albumen height, and Haugh unit. Conclusion: Hepatic genes and gut bacteria bilaterally cooperated and synergistically promoted the laying rate, albumen height, and Haugh unit of FM-treated layer hens through modulating the nutrient absorption and physiological lipid metabolism. Our findings may provide a theoretical basis for the fasting-induced molting process and further extend the laying cycles in the layer hens production.

27 November 2022 in Animals
Verified
Journal Article
Open access
PDF file
WLWei-Li LIAO
Wei-Li LIAO
YWYifei Wang
Yifei Wang
XQXiwu Qiao
Xiwu Qiao
Xiaoke ZhangXiaoke Zhang
Xiaoke Zhang
HDHaohui Deng
Haohui Deng
HZHao Zhang
Hao Zhang
Insulin-like growth factor 1 (IGF1) is an important regulator of body growth, development, and metabolism. The poly(dA:dT) tract affects the accessibility of transcription factor binding sites to regulate transcription. Therefore, this study assessed the effects of two poly(dA:dT) tracts on the transcriptional activity of porcine IGF1. The luciferase assay results demonstrated that the poly(dA:dT) tract 2 (−264/−255) was a positive regulatory element for IGF1 gene expression, and the activities between the different lengths of the poly(dA:dT) tract 2 were significant (p<0.01). The transcription factor C/EBPα inhibited the transcription of IGF1 by binding to tract 2, and the expression levels between the lengths of tract 2 after C/EBPα binding were also statistically different (p<0.01). Only the alleles 10T and 11T were found in the tract 2 in commercial pig breeds, while the 9T, 10T, and 11T alleles were found in Chinese native pig breeds. The allele frequencies were in Hardy–Weinberg equilibrium in all pig breeds. The genotypes of tract 2 were significantly associated with the growth traits (days to 115 kg and average daily gain) (p<0.05) in commercial pig breeds. Based on these findings, it can be concluded that the tract 2 mutation could be applied as a candidate genetic marker for growth trait selection in pig breeding programs.