Xiao Zhou

Dr. Xiao Zhou


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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13 January 2025 in Antioxidants
Verified
Journal Article
Open access
PDF file
XZXiao Zhou
Xiao Zhou
LWLi Wang
Li Wang
JDJiuli Dai
Jiuli Dai
HJHuiyan Jia
Huiyan Jia
KSKai Shi
Kai Shi
SCShufang Chen
Shufang Chen
Spartina anglica (SA), a plant rich in dietary fiber, has demonstrated considerable potential for enhancing gut health and antioxidant capacity in animals. This study investigates the integration of SA as a novel dietary ingredient for Zhedong white geese, with a specific focus on evaluating its effects on growth performance, nutrient digestibility, antioxidant capacity, intestinal health, and cecal microbiota composition. A total of 360 1-day-old Zhedong white geese with an average weight of 114.94 ± 0.81 g were randomly allocated to 4 dietary treatments, with 6 replicates per treatment and 15 geese per pen. The 4 dietary treatments included different SA supplement levels: a control group receiving a basal diet (CON), and three experimental groups supplemented with 3% SA (SA3), 6% SA (SA6), and 12% SA (SA12). Supplementation with 6% SA significantly enhanced the final body weight, average daily gain, and feed conversion ratio (FCR) compared to the CON group (p < 0.05). In contrast, the SA12 group exhibited reduced digestibility of crude protein and ether extract, relative to the SA3 and SA6 groups (p < 0.05). The highest antioxidant capacity was observed in the SA6 and SA12 groups, while the lowest was recorded in the CON group. SA supplementation did not significantly influence serum biochemical parameters or organ indices but increased cecum length (p < 0.05). Notably, SA supplementation markedly improved intestinal morphology, although excessive levels appeared to compromise these benefits. Additionally, SA supplementation significantly enhanced the richness and diversity of cecal microbiota and increased short-chain fatty acid concentrations. In conclusion, SA at an optimal supplementation level of 6% may be effectively utilized in Zhedong white geese diets to improve growth performance, gut health, and antioxidant capacity.

6 May 2025 in Animals
Verified
Journal Article
Open access
PDF file
KSKai Shi
Kai Shi
XZXiao Zhou
Xiao Zhou
JDJiuli Dai
Jiuli Dai
YGYuefeng Gao
Yuefeng Gao
LGLinna Gao
Linna Gao
SCShufang Chen
Shufang Chen
Geese (Anser cygnoides) are popular worldwide with consumers for their unique meat quality, egg production, foie gras, and goose down; however, the key genes that influence geese growth remain elusive. To explore the mechanism of geese growth, a total of 500 Zhedong White geese were raised; four high-weight (HW) and four low-weight (LW) male geese were selected to collect carcass traits and for further transcriptomic and metabolomic analysis. The body weight and average daily gain of HW geese were significantly higher than those of the LW geese (p-value < 0.05), and the yields of the liver, gizzard, glandular stomach, and pancreas showed no significant difference between the HW and the LW group (p-value > 0.05). Compared with the LW geese, 19 differentially expressed genes (DEGs) (i.e., COL11A2, COL22A1, and TF) were detected in the breast muscle from the HW geese, which were involved in the PPAR signaling pathway, adipocytokine signaling pathway, fatty acid biosynthesis, and ferroptosis. A total of 59 differential accumulation metabolites (DAMs), which influence the pathways of glutathione metabolism and vitamin B6 metabolism, were detected in the breast muscle between the HW and LW geese. In the liver, 106 DEGs (i.e., THSD4, CREB3L3, and CNST) and 202 DAMs were found in the livers of the HW and LW groups, respectively. DEGs regulated the pathways of the TGF-beta signaling pathway, pyruvate metabolism, and adipocytokine signaling pathway; DAMs were involved in pyrimidine metabolism, nitrogen metabolism, and phenylalanine metabolism. Correlation analysis between the top DEGs and DAMs revealed that in the breast muscle, the expression levels of COL11A2 and COL22A1 were positively correlated with the content of S-(2-Hydroxy-3-buten-1-yl)glutathione. In the liver, the expression of THSD4 was positively correlated with the content of 2-Hydroxyhexadecanoic acid. In addition, one DEG (LOC106049048) and four DAMs (mogrol, brassidic acid, flabelline, and L-Leucyl-L-alanine) were shared in the breast muscle and liver. These important results contribute to improving the knowledge of goose growth and exploring the effective molecular markers that could be adopted for Zhedong White goose breeding.

18 September 2025 in Microorganisms
Verified
Journal Article
Open access
PDF file
XWXianze Wang
Xianze Wang
YWYing Hui Wang
Ying Hui Wang
YLYi Liu
Yi Liu
GLGuangquan Li
Guangquan Li
DHDaqian He
Daqian He
XZXiao Zhou
Xiao Zhou
This study investigated a compound low-protein diet (CLPD) strategy to reduce soybean meal (SBM) dependency in meat geese. Diets were formulated with crude protein (CP) levels decreasing from 16.5% (corn-soybean meal diet, CSD) to 9.8%, incorporating alternative ingredients such as rapeseed meal, corn distillers dried grains with solubles (DDGS), broken rice, and rice bran. All diets were balanced for limiting amino acids (lysine, methionine, threonine, and valine) through supplemental synthetic amino acids. A total of 192 four-week-old Sanhua geese were randomly assigned according to a single-factor completely randomized design to four dietary treatment groups: the 16.5% (CSD) group and three CLPD treatment groups (14.0% CP, 11.5% CP, and 9.8% CP). Each treatment consisted of six replicate pens with eight geese per pen. During the six-week trial, evaluations included growth performance, organ weights, nutrient digestibility, serum biochemistry, amino acid profiles, intestinal morphology, and cecal microbiota composition. Results demonstrated that compared to the 16.5% (CSD) group, the 11.5% CP (CLPD) group significantly improved final body weight (p < 0.05), average daily gain (P_Linear < 0.01, p < 0.05), and feed conversion efficiency (P_Linear < 0.01, p < 0.05), alongside enhanced apparent digestibility of crude protein and amino acids (P_Linear < 0.01, p < 0.05). Organ weights were generally stable, though the 9.8% CP (CLPD) group showed reduced liver weight (p < 0.05) and increased abdominal fat (P_Linear < 0.01, p < 0.05). Serum levels of low-density lipoprotein cholesterol increased (P_Linear < 0.05, p < 0.05). Intestinal morphology improved in the duodenum and jejunum: in the duodenum, villus height and villus-to-crypt ratio were significantly increased, and crypt depth was significantly decreased (P_Linear < 0.01, p < 0.05); in the jejunum, villus height was significantly increased (p < 0.05) and crypt depth was significantly decreased (p < 0.05). Cecal microbiota alpha diversity remained consistent. The dominant genera in the 9.8% CP (CLPD) group were unclassified_Oscillospiraceae and unclassified_Ruminococcaceae (p < 0.05), among which, Megamonas, Prevotellaceae_Ga6A1_group, and Rikenellaceae_RC9_gut_group dominated in the 16.5% (CSD) group (p < 0.05). These findings indicate that a compound low-protein diet (CLPD) with 11.5% CP, precisely balanced for limiting amino acids, supports optimal growth performance, improves nutrient utilization, and maintains intestinal health in meat geese. Overall, this offers a viable approach to easing SBM reliance in poultry nutrition while enhancing resource efficiency.

18 June 2026 in Animals
Verified
Journal Article
Open access
PDF file
KSKai Shi
Kai Shi
XZXiao Zhou
Xiao Zhou
LKLI Kai
LI Kai
JDJiuli Dai
Jiuli Dai
Yangyang ShenYangyang Shen
Yangyang Shen
SCShufang Chen
Shufang Chen
As a precious indigenous goose resource in China, the Zhedong white goose occupies an essential position in the domestic goose industry. However, this breed spontaneously enters a prolonged non-laying period of over two months per year, which greatly limits egg production capacity and restricts the economic development of the goose industry. Herein, this study systematically compared serum physiological indices and serum and fecal metabolome, as well as fecal microbial communities, between laying and non-laying Zhedong white geese, aiming to reveal the key regulatory mechanisms underlying reproductive stage transition. Physiological analyses indicated that non-laying geese had higher serum levels of GnRH, PRL, APOA, and T-AOC, whereas the concentrations of LH, E2, TNF-α, IL-1, and calcium were significantly reduced; FSH, PROG, and BA levels showed no significant differences between the two groups. Metabolomic analysis identified 277 upregulated and 403 downregulated DAMs in feces, and 386 DAMs in serum. The shared enriched pathways across serum and fecal samples encompassed arginine biosynthesis, histidine metabolism, and pantothenate and CoA biosynthesis, as well as steroid hormone biosynthesis. A total of 120 DAMs overlapped in two specimens, and the non-laying geese presented pronounced depletion of tryptophan-derived metabolites and steroid hormone-related metabolites. Metagenomic results showed no significant difference in gut microbial alpha diversity between groups, while their microbial community structures were clearly differentiated. A total of 774 upregulated and 854 downregulated microbial species were screened in non-laying geese, and these differential microbes were primarily enriched in pathways associated with reproductive hormone signaling, steroid biosynthesis and energy metabolism. Multi-omics correlation analysis verified close associations between differential microbes and reproductive-related metabolites. Certain probiotic strains, including Pediococcus pentosaceus and Lactococcus raffinolactis, were positively correlated with steroid hormones and tryptophan metabolites, and their abundances declined obviously in the non-laying stage. Collectively, this study elaborates the holistic changes in serum biochemistry, gut metabolome and microbiome in geese at different reproductive stages. The dysregulation of amino acid and steroid hormone metabolism, combined with the loss of beneficial intestinal microbes, jointly induces the non-laying phenotype. This study provides new perspectives for understanding the gut–reproductive axis and supplies promising biomarkers to improve the laying performance of geese.

26 July 2024 in bioRxiv
Verified
Preprint
Open access
PDF file
CJChenghao Jia
Chenghao Jia
CHChenghu Huang
Chenghu Huang
HZHaiyang Zhou
Haiyang Zhou
XZXiao Zhou
Xiao Zhou
ZWZining Wang
Zining Wang
Min YueMin Yue
Min Yue
Bacterial regional demonstration after global dissemination is an essential pathway for selecting distinct finesses. However, the evolution of the resistome during the transition to endemicity remains unaddressed. Using the most comprehensive whole-genome sequencing dataset of Salmonella enterica serovar Gallinarum ( S . Gallinarum) collected from 15 countries, including 45 newly recovered samples from two related local regions, we established the relationship among avian-specific pathogen genetic profiles and localization patterns. Initially, we revealed the international transmission and evolutionary history of S . Gallinarum to recent endemicity through phylogenetic analysis conducted using a spatiotemporal Bayesian framework. Our findings indicate that the independent acquisition of the resistome via the mobilome, primarily through plasmids and transposons shapes a unique antimicrobial resistance profile among different lineages. Notably, the mobilome-resistome combination among distinct lineages exhibits a geographical-specific manner, further supporting a localized endemic mobilome-driven process. Collectively, this study elucidates resistome adaptation in the endemic transition of an avian-specific pathogen, likely driven by the localized farming style, and provides valuable insights for targeted interventions.

3 August 2026 in Animals
Verified
Journal Article
Open access
PDF file
QYQian Yan
Qian Yan
ZWZengrui Wu
Zengrui Wu
HCHanzhi Chen
Hanzhi Chen
DZDayou Zhou
Dayou Zhou
YWYingli Wang
Yingli Wang
XZXiao Zhou
Xiao Zhou
The $300-billion global poultry industry, a cornerstone of food security, faces two interconnected systemic challenges: pre-incubation quality degradation wastes up to 15% of incubation capacity on non-viable eggs, while post-hatch male chick culling results in the annual euthanasia of 7 billion day-old layer chicks. Existing non-destructive detection research remains fragmented, treating pre-incubation freshness assessment and in ovo sexing as disconnected domains and creating a persistent lab-to-field gap that blocks industrial translation. This review establishes a unified process-centric framework covering the full detection workflow, and critically evaluates state-of-the-art sensing modalities across the entire hatching cycle. The analysis demonstrates that implementation bottlenecks do not reside in laboratory classification accuracy, which frequently exceeds 90% under controlled conditions, but in cross-batch generalizability, embryonic biosafety assurance, and high-throughput online operation. A hierarchical detection strategy with closed-loop traceability is outlined to bridge the lab-to-field gap. This work provides a structured roadmap to improve both economic efficiency and ethical sustainability of global poultry production.