Hongchang Gu

Dr. Hongchang Gu

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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8 April 2019 in Scientific Reports
Verified
Journal Article
Open access
PDF file
HGHongchang Gu
Hongchang Gu
XQXin Qi
Xin Qi
YJYaxiong Jia
Yaxiong Jia
ZZZebin Zhang
Zebin Zhang
CNChangsheng Nie
Changsheng Nie
LQLujiang Qu
Lujiang Qu
Although many phenotypic traits of chickens have been well documented, the genetic patterns of gene expression levels in chickens remain to be determined. In the present study, we crossed two chicken breeds, White Leghorn (WL) and Cornish (Cor), which have been selected for egg and meat production, respectively, for a few hundred years. We evaluated transcriptome abundance in the brain, muscle, and liver from the day-old progenies of pure-bred WL and Cor, and the hybrids of these two breeds, by RNA-Seq in order to determine the inheritance patterns of gene expression. Comparison among expression levels in the different groups revealed that most of the genes showed conserved expression patterns in all three examined tissues and that brain had the highest number of conserved genes, which indicates that conserved genes are predominantly important compared to others. On the basis of allelic expression analysis, in addition to the conserved genes, we identified the extensive presence of additive, dominant (Cor dominant and WL dominant), over-dominant, and under-dominant genes in all three tissues in hybrids. Our study is the first to provide an overview of inheritance patterns of the transcriptome in layers and broilers, and we also provide insights into the genetics of chickens at the gene expression level.

15 October 2020 in Animal Genetics
Verified
Journal Article
Closed access
HGHongchang Gu
Hongchang Gu
TZT. Zhu
T. Zhu
XLX. Li
X. Li
YCY. Chen
Y. Chen
LWL. Wang
L. Wang
LQLujiang Qu
Lujiang Qu

22 November 2023 in Animals
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Journal Article
Open access
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JWJunhui Wen
Junhui Wen
JYjincheng Yu
jincheng Yu
LZLi Zhang
Li Zhang
HLHaiying Li
Haiying Li
WHWang Huie
Wang Huie
LQLujiang Qu
Lujiang Qu
Driven by natural and artificial selection, the domestic Huoyan geese from Northern China have gradually generated specific phenotypes and climatic adaptations. To understand the genetic basis of the two specific phenotypes that are sex linked, including upper eyelid coloboma and gosling feather color, as well as the climatic adaptations of the Huoyan goose, which can contribute to the artificial selection and breeding of geese. We selected Huoyan geese and nine Southern Chinese goose breeds and identified their divergence on the genomic level. Using selective sweep analysis, we found that PTPRM on chromosome Z influences the upper eyelid coloboma phenotype of the Huoyan goose, and TYRP1 is a plausible candidate gene for the Huoyan gosling feather color. We obtained a number of genes related to cold adaptation in Huoyan geese, mainly involved in physiological functions such as metabolism, angiogenesis contraction and circulatory system, apoptosis, immunity, stress, and neural system. The most interesting candidates for cold adaptation are PIP5K1B and NMNAT3 that are associated with energy metabolism and stress. We also obtained some genes related to heat adaptation, including AGTPBP1, associated with neurology; GDA, associated with skin pigmentation; and NAA35, associated with apoptosis. These findings deepen our understanding of the genetics of specific phenotypes and climate adaptation in local geese and provide insights for the selection of goose breeds.

4 September 2025 in Animals
Verified
Journal Article
Open access
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HGHongchang Gu
Hongchang Gu
ZYZhixun Yan
Zhixun Yan
BZBing Zhang
Bing Zhang
XCXia Chen
Xia Chen
AGAilian Geng
Ailian Geng
QCQin Chu
Qin Chu
Due to the effects of pigment deposition and microstructure, the color of eggshells may influence the quality traits and hatchability of eggs. These traits are critical for breeding efficiency and economic outcomes in poultry production. Herein, Beijing-You chicken eggs were used as a model to investigate the effects of eggshell color due to their color-related polymorphism. A total of 4422 eggs were analyzed for their hatchability, categorized by storage duration and eggshell color. Results revealed that white-shelled eggs exhibit significantly lower hatchability and higher early embryo mortality compared to other colors, particularly after long-term storage. Purple-shelled eggs demonstrated superior eggshell quality, including higher strength, thickness, and weight, as well as better internal egg quality indicators such as thick albumen height, Haugh units, and yolk color. Eggshell translucency showed a positive correlation with storage time and egg weight loss at all shell color types, with higher translucency levels associated with greater weight loss over time. This study examines associations between eggshell color, hatchability, translucency, and quality traits.

17 April 2020 in Scientific Reports
Verified
Journal Article
Open access
PDF file
HGHongchang Gu
Hongchang Gu
XQXin Qi
Xin Qi
YJYaxiong Jia
Yaxiong Jia
ZZZebin Zhang
Zebin Zhang
CNChangsheng Nie
Changsheng Nie
LQLujiang Qu
Lujiang Qu
An amendment to this paper has been published and can be accessed via a link at the top of the paper.

3 December 2021 in Frontiers in Genetics
Verified
Journal Article
Open access
XQXin Qi
Xin Qi
HGHongchang Gu
Hongchang Gu
LQLujiang Qu
Lujiang Qu
Transcriptome analysis has been used to investigate many economically traits in chickens; however, alternative splicing still lacks a systematic method of study that is able to promote proteome diversity, and fine-tune expression dynamics. Hybridization has been widely utilized in chicken breeding due to the resulting heterosis, but the dynamic changes in alternative splicing during this process are significant yet unclear. In this study, we performed a reciprocal crossing experiment involving the White Leghorn and Cornish Game chicken breeds which exhibit major differences in body size and reproductive traits, and conducted RNA sequencing of the brain, muscle, and liver tissues to identify the inheritance patterns. A total of 40 515 and 42 612 events were respectively detected in the brain and muscle tissues, with 39 843 observed in the liver; 2807, 4242, and 4538 events significantly different between two breeds were identified in the brain, muscle, and liver tissues, respectively. The hierarchical cluster of tissues from different tissues from all crosses, based on the alternative splicing profiles, suggests high tissue and strain specificity. Furthermore, a comparison between parental strains and hybrid crosses indicated that over one third of alternative splicing genes showed conserved patterns in all three tissues, while the second prevalent pattern was non-additive, which included both dominant and transgressive patterns; this meant that the dominant pattern plays a more important role than suppression. Our study provides an overview of the inheritance patterns of alternative splicing in layer and broiler chickens, to better understand post-transcriptional regulation during hybridization.