Spatial Distribution and Ecological Niche Modeling of Toxigenic Clostridium perfringens in Ruminants: Integrating Environmental Drivers with an ELISA-Based Toxinotyping Approach.

IF 3.1 3区 生物学 Q3 MICROBIOLOGY
Onur Taş, Yunus Kiliçoğlu, Yaşar Fatih Güler, Sedat Ormanci, Volkan Yilmaz, Zekeriya Keleş, Rahşan Koç Akpinar
{"title":"Spatial Distribution and Ecological Niche Modeling of Toxigenic Clostridium perfringens in Ruminants: Integrating Environmental Drivers with an ELISA-Based Toxinotyping Approach.","authors":"Onur Taş, Yunus Kiliçoğlu, Yaşar Fatih Güler, Sedat Ormanci, Volkan Yilmaz, Zekeriya Keleş, Rahşan Koç Akpinar","doi":"10.1016/j.anaerobe.2026.103089","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Enterotoxemia, caused by Clostridium perfringens, leads to high mortality in ruminants and significant economic losses. This study aimed to toxinotype C. perfringens using the Ag-ELISA method in suspected samples from the Central Black Sea Region and surrounding provinces, while statistically and ecologically evaluating the effects of regional abiotic factors on the spread of the disease.</p><p><strong>Methods: </strong>Between 2021 and 2024, the Ag-ELISA test was applied to 741 intestinal content samples submitted from 11 provinces to the Samsun Veterinary Control Institute. Meteorological parameters and soil moisture index data derived from NASA satellites were utilized. Generalized Linear Mixed Models (GLMMs) based on the Negative Binomial distribution were used to determine the effects of variables, while Kernel Density Estimation (KDE) was employed to model the ecological niche distribution and case concentrations based on mean temperature and soil moisture.</p><p><strong>Results: </strong>C. perfringens and its toxins were detected in 297 (40.08%) of the samples. Toxinotyping revealed that Type A was the most prevalent strain (62.63%), followed by Type C (20.54%), Type D (13.80%), and Type B (3.03%). GLMM and KDE analyses demonstrated that soil moisture and temperature are the most influential risk factors. The KDE contour layers revealed that the cases exhibited a bimodal adaptive mechanism and specific ecological niche concentrations based on these abiotic variables.</p><p><strong>Conclusions: </strong>C. perfringens Type A and Type C were identified as the dominant strains in the study area. Considering the bimodal adaptive mechanism and environmental niche concentrations demonstrated by KDE, selecting vaccines providing targeted protection against Types A and C is of critical importance for controlling enterotoxemia and optimizing strategic vaccination schedules in the region.</p>","PeriodicalId":8050,"journal":{"name":"Anaerobe","volume":" ","pages":"103089"},"PeriodicalIF":3.1000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anaerobe","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.anaerobe.2026.103089","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: Enterotoxemia, caused by Clostridium perfringens, leads to high mortality in ruminants and significant economic losses. This study aimed to toxinotype C. perfringens using the Ag-ELISA method in suspected samples from the Central Black Sea Region and surrounding provinces, while statistically and ecologically evaluating the effects of regional abiotic factors on the spread of the disease.

Methods: Between 2021 and 2024, the Ag-ELISA test was applied to 741 intestinal content samples submitted from 11 provinces to the Samsun Veterinary Control Institute. Meteorological parameters and soil moisture index data derived from NASA satellites were utilized. Generalized Linear Mixed Models (GLMMs) based on the Negative Binomial distribution were used to determine the effects of variables, while Kernel Density Estimation (KDE) was employed to model the ecological niche distribution and case concentrations based on mean temperature and soil moisture.

Results: C. perfringens and its toxins were detected in 297 (40.08%) of the samples. Toxinotyping revealed that Type A was the most prevalent strain (62.63%), followed by Type C (20.54%), Type D (13.80%), and Type B (3.03%). GLMM and KDE analyses demonstrated that soil moisture and temperature are the most influential risk factors. The KDE contour layers revealed that the cases exhibited a bimodal adaptive mechanism and specific ecological niche concentrations based on these abiotic variables.

Conclusions: C. perfringens Type A and Type C were identified as the dominant strains in the study area. Considering the bimodal adaptive mechanism and environmental niche concentrations demonstrated by KDE, selecting vaccines providing targeted protection against Types A and C is of critical importance for controlling enterotoxemia and optimizing strategic vaccination schedules in the region.

反刍动物产毒荚膜梭菌的空间分布和生态位建模:结合环境驱动因素和基于elisa的毒素分型方法
目的:由产气荚膜梭菌引起的肠毒血症导致反刍动物的高死亡率和重大的经济损失。本研究旨在采用Ag-ELISA法对来自中黑海地区及周边省份的疑似标本进行产气荚膜梭菌毒素分型,并对区域非生物因素对疾病传播的影响进行统计学和生态学评价。方法:在2021 - 2024年期间,对来自11个省提交给三星兽医控制研究所的741份肠道内容物样本进行Ag-ELISA检测。利用NASA卫星提供的气象参数和土壤湿度指数数据。采用基于负二项分布的广义线性混合模型(glmm)来确定变量的影响,采用核密度估计(KDE)来模拟基于平均温度和土壤湿度的生态位分布和病例浓度。结果:检出产气荚膜梭菌及其毒素297份(40.08%)。毒素分型结果显示,A型最常见(62.63%),其次是C型(20.54%)、D型(13.80%)和B型(3.03%)。GLMM和KDE分析表明,土壤湿度和温度是影响最大的危险因素。KDE等高线层显示了基于这些非生物变量的双峰适应机制和特定生态位浓度。结论:A型和C型为研究区优势菌株。考虑到KDE显示的双峰适应机制和环境生态位浓度,选择能够针对A型和C型提供针对性保护的疫苗对于控制该地区的肠毒血症和优化战略性疫苗接种计划至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Anaerobe
Anaerobe 生物-微生物学
CiteScore
5.20
自引率
8.70%
发文量
137
审稿时长
76 days
期刊介绍: Anaerobe is essential reading for those who wish to remain at the forefront of discoveries relating to life processes of strictly anaerobes. The journal is multi-disciplinary, and provides a unique forum for those investigating anaerobic organisms that cause infections in humans and animals, as well as anaerobes that play roles in microbiomes or environmental processes. Anaerobe publishes reviews, mini reviews, original research articles, notes and case reports. Relevant topics fall into the broad categories of anaerobes in human and animal diseases, anaerobes in the microbiome, anaerobes in the environment, diagnosis of anaerobes in clinical microbiology laboratories, molecular biology, genetics, pathogenesis, toxins and antibiotic susceptibility of anaerobic bacteria.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书