2026-10-07T17:41:57Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34003911 2026-09-26T20:06:17Z category_24121 category_24484 category_27205 item_type_3 month_year_09_2026

支持以下原始数据集：高原环境过滤驱动的类准型划分 Dan Wu (25114977) Ga Gong (25115032) Yanan Zhong (25115034) Yixin Huang (25115037) Zhuangkan Yan (25115039) Zhanchun Bai (25115047) Hongmei Shi (25115049) Xueping Yao (25115042) Suizhong Cao (25115057) Runbo Luo (25115052) Sizhu Suolang (25115054) Veterinary sciences not elsewhere classified Clinical microbiology Public health not elsewhere classified Clostridium perfringens Qinghai-Tibetan Plateau altitudinal environmental filtering toxotype niche partitioning virulence-antimicrobial resistance co-selection mobile genetic elements free-grazing yaks One Health <p dir="ltr">This dataset contains the raw data, supplementary tables, and supplementary figures supporting the article "Altitudinal environmental filtering drives toxotype partitioning of Clostridium perfringens in free-grazing yaks across the Qinghai-Tibetan Plateau". The dataset comprises 20 supplementary tables (S1–S20) covering sampling locations, altitudes, coordinates, and sample sizes across five provincial regions (S1); primer sequences for toxin gene and antibiotic resistance gene (ARG) detection (S2, S5); toxin typing criteria and stratified toxotype distributions (S3, S8, S9); antimicrobial susceptibility testing standards and raw phenotypic data for 556 C. perfringens isolates (S4, S10); stratified antimicrobial resistance rates and multidrug resistance (MDR/H-MDR) classifications (S11, S13, S14); the raw binary detection matrix of 56 ARGs and their stratified prevalence (S16, S17); statistical analyses including generalized linear mixed models (GLMM), multivariable logistic regression, pairwise χ² tests with Benjamini-Hochberg false discovery rate correction, and sensitivity analyses for pre- vs. post-pandemic sampling bias (S6, S7, S12, S15, S19); phi (φ) coefficient analyses of ARG co-occurrence networks and toxitype-ARG correlations (S18); and bioinformatic predictions of mobile genetic elements (MGEs) associated with ARGs (S20). Five supplementary figures (S1–S5) illustrate the provincial and altitudinal prevalence of C. perfringens, provincial toxitype niche differentiation, overall antimicrobial resistance profiles against 19 antimicrobial agents, spatiotemporal differences in resistance rates across toxinotypes and altitudinal strata before and after the COVID-19 pandemic, and visualization of antimicrobial resistance phenotypes across all 556 isolates. All files are provided in CSV/XLSX/DOCX format to facilitate reproducibility and downstream meta-analysis.</p> 2026-09-26T20:06:17Z Dataset Dataset 10.6084/m9.figshare.34003911.v1 https://figshare.com/articles/dataset/___/34003911 CC BY 4.0