Xinzheng Jia

Dr. Xinzheng Jia

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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10 February 2021 in Genes
Verified
Journal Article
Open access
PDF file
YWYan Wang
Yan Wang
XJXinzheng Jia
Xinzheng Jia
JHJohn Hsieh
John Hsieh
MMMelissa Monson
Melissa Monson
Jibin ZhangJibin Zhang
Jibin Zhang
SLSusan J. Lamont
Susan J. Lamont
Exposure to high ambient temperature has detrimental effects on poultry welfare and production. Although changes in gene expression due to heat exposure have been well described for broiler chickens, knowledge of the effects of heat on laying hens is still relatively limited. In this study, we profiled the transcriptome for pectoralis major muscle (n = 24) and liver (n = 24), during a 4-week cyclic heating experiment performed on layers in the early phase of egg production. Both heat-control and time-based contrasts were analyzed to determine differentially expressed genes (DEGs). Heat exposure induced different changes in gene expression for the two tissues, and we also observed changes in gene expression over time in the control animals suggesting that metabolic changes occurred during the transition from onset of lay to peak egg production. A total of 73 DEGs in liver were shared between the 3 h heat-control contrast, and the 4-week versus 3 h time contrast in the control group, suggesting a core set of genes that is responsible for maintenance of metabolic homeostasis regardless of the physiologic stressor (heat or commencing egg production). The identified DEGs improve our understanding of the layer’s response to stressors and may serve as targets for genetic selection in the future to improve resilience.

23 July 2024 in Microbiome
Verified
Journal Article
Open access
PDF file
LGLaura Glendinning
Laura Glendinning
XJXinzheng Jia
Xinzheng Jia
AKAdebabay Kebede
Adebabay Kebede
SOSamuel O. Oyola
Samuel O. Oyola
JPJong-Eun Park
Jong-Eun Park
OHOlivier Hanotte
Olivier Hanotte
Background: Scavenging indigenous village chickens play a vital role in sub-Saharan Africa, sustaining the livelihood of millions of farmers. These chickens are exposed to vastly different environments and feeds compared to commercial chickens. In this study, we analysed the caecal microbiota of 243 Ethiopian village chickens living in different altitude-dependent agro-ecologies. Results: Differences in bacterial diversity were significantly correlated with differences in specific climate factors, topsoil characteristics, and supplemental diets provided by farmers. Microbiota clustered into three enterotypes, with one particularly enriched at high altitudes. We assembled 9977 taxonomically and functionally diverse metagenome-assembled genomes. The vast majority of these were not found in a dataset of previously published chicken microbes or in the Genome Taxonomy Database. Conclusions: The wide functional and taxonomic diversity of these microbes highlights their importance in the local adaptation of indigenous poultry, and the significant impacts of environmental factors on the microbiota argue for further discoveries in other agro-ecologies.

1 March 2022 in Frontiers in Genetics
Verified
Journal Article
Open access
GZGuangyuan Zhou
Guangyuan Zhou
TLTianfei Liu
Tianfei Liu
YWYan Wang
Yan Wang
HQHao Qu
Hao Qu
DSDingming Shu
Dingming Shu
CLChenglong Luo
Chenglong Luo
Hyperpigmentation of the visceral peritoneum (HVP) has been becoming one of the most challenging problems in yellow-feathered chicken production, which seriously affected chicken carcass quality traits. Detecting which genes dominantly impact pigmentation in the peritoneum tissues is of great benefit to the genetic improvement of HVP. To investigate the genetic mechanism of HVP in yellow-feathered broilers, genome-wide association studies (GWASs) were conducted in the F2 generation of a cross broiler population with 395 birds. A total of 115,706 single-nucleotide polymorphisms (SNPs) of 122,415 were retained to identify quantitative trait loci (QTL) associated to HVP in chicken. The GWAS results based on the logistic mixed model (LMM) revealed that a narrow genomic location on chromosomes 1 (49.2–51.3 Mb) was significantly associated (p ≤ 4.32 × 10−7) with HVP, which contained 23 SNP makers related to 14 functional genes (MFNG, POLDIP3, POLR2F, PICK1, PDXP, SGSM3, RANGAP1, MYH9, RPL3, GALP3, LGALS1, MICALL1, ATF4, and CYP2D6). Four highly associated (p < 10−5) haplotype blocks of 0.80 kb (two SNPs), 0.06 kb (two SNPs), 0.95 kb (two SNPs), and 0.03 kb (two SNPs) were identified with two, two, four, and four distinct haplotypes, respectively. As a melanoma-associated gene, CYP2D6 were also possibly involved in the development of HVP occurring in chicken with two significant variations (rs314284996 and rs317955795) in the promoter regions. Further tests revealed that the expression of CYP2D6 was obviously higher in the visceral peritoneum tissue of chicken with HVP than that in the normal group (p < 0.05). Our results provide a novel clue to understand the genetic mechanism of HVP generation in chicken, and the mapped QTL or candidate genes might serve for genomic selection to improve carcass quality in the yellow-feathered chicken industry.

25 February 2020 in Animal Genetics
Verified
Journal Article
Closed access
PDF file
Adeniyi Charles AdeolaAdeniyi Charles Adeola
Adeniyi Charles Adeola
MEMuslim K. Ewuola
Muslim K. Ewuola
Lotanna Micah NnejiLotanna Micah Nneji
Lotanna Micah Nneji
AOAbel O. Oguntunji
Abel O. Oguntunji
SBSemiu F. Bello
Semiu F. Bello
YZYa-Ping Zhang
Ya-Ping Zhang

4 July 2025 in Veterinary Microbiology
Verified
Journal Article
Closed access
LQLimei Qin
Limei Qin
FYFan Yang
Fan Yang
SCShikai Cai
Shikai Cai
JZJun Zhou
Jun Zhou
ZSZhaoyang Sun
Zhaoyang Sun
KZKeshan Zhang
Keshan Zhang

5 November 2021 in bioRxiv
Verified
Preprint
Open access
MLMing Li
Ming Li
CSCongjiao Sun
Congjiao Sun
NXNaiyi Xu
Naiyi Xu
PBPeipei Bian
Peipei Bian
XTXiaomeng Tian
Xiaomeng Tian
NYNing Yang
Ning Yang
The gene numbers and evolutionary rates of birds were assumed to be much lower than that of mammals, which in sharp contrast to the huge species number and morphological diversity of birds. It is very necessary to construct a complete avian genome and analyze its evolution.We constructed a chicken pan-genome from 20 de novo genome assemblies with high sequencing depth, newly identified 1,335 protein-coding genes and 3,011 long noncoding RNAs. The majority of these novel genes were detected across most individuals of the examined transcriptomes but were accidentally measured in each of the DNA sequencing data regardless of Illumina or PacBio technology. Furthermore, different from previous pan-genome models, most of these novel genes were overrepresented on chromosomal sub-telomeric regions, surrounded with extremely high proportions of tandem repeats, and strongly blocked DNA sequencing. These hidden genes were proved to be shared by all chicken genomes, included many housekeeping genes, and enriched in immune pathways. Comparative genomics revealed the novel genes had three-fold elevated substitution rates than known ones, updating the evolutionary rates of birds. Our study provides a framework for constructing a better chicken genome, which will contribute towards the understanding of avian evolution and improvement of poultry breeding.