The chicken gut resistome data from different regions of Kazakhstan

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-05-01 DOI:10.1016/j.dib.2025.111608

Sergey Shilov , Ilya Korotetskiy , Tatyana Kuznetsova , Natalya Zubenko , Lyudmila Ivanova , Elena Solodova , Alfiya Tugeyeva , Anzor Kaziyev , Nadezhda Korotetskaya , Timur Izmailov

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引用次数: 0

Abstract

Antibiotic resistance (AR) is a serious global health problem affecting both human medicine and animal agriculture. The poultry farming, especially industrial poultry, antibiotics are widely used for disease prevention and growth promotion, leading to the accumulation and dissemination of antibiotic resistance genes (ARGs) within the intestinal microbiomes of birds. Poultry, which often have close contact with humans, can serve as reservoirs for resistant microorganisms, posing potential public health risks. Determination of avian intestinal resistomes through metagenomic sequencing and bioinformatics analysis enables the identification of diversity and transmission dynamics of ARGs, and to evaluate the influence of environmental factors and conditions of poultry on resistance gene distribution.

The article presents data of resistome analysis of gut microbiota in populations of chickens from different regions of Kazakhstan. The data obtained will allow to develop a strategy to reduce the spread of antibiotic-resistant pathogens and improve safety in poultry farming, as well as to predict the risk of transmission of resistant microorganisms between animals and humans.

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哈萨克斯坦不同地区的鸡肠道抵抗组数据

抗生素耐药性是影响人类医学和动物农业的一个严重的全球性卫生问题。家禽养殖，特别是工业家禽，广泛使用抗生素预防疾病和促进生长，导致抗生素耐药基因（ARGs）在鸟类肠道微生物群内的积累和传播。禽类往往与人类有密切接触，可作为耐药微生物的宿主，构成潜在的公共卫生风险。通过宏基因组测序和生物信息学分析对禽肠道抗性组的测定，可以识别ARGs的多样性和传播动态，并评估家禽环境因素和条件对抗性基因分布的影响。本文介绍了哈萨克斯坦不同地区鸡群肠道微生物群的抗性组分析数据。获得的数据将有助于制定一项战略，减少耐抗生素病原体的传播，提高家禽养殖的安全性，并预测耐药微生物在动物和人类之间传播的风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.