Climate Resilience in Farm Animals: Transcriptomics-Based Alterations in Differentially Expressed Genes and Stress Pathways.

IF 2.7 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BioTech Pub Date : 2024-11-15 DOI:10.3390/biotech13040049
Chikamagalore Gopalakrishna Shashank, Veerasamy Sejian, Mullakkalparambil Velayudhan Silpa, Chinnasamy Devaraj, Aradotlu Parameshwarappa Madhusoodan, Ebenezer Binuni Rebez, Gajendirane Kalaignazhal, Artabandhu Sahoo, Frank Rowland Dunshea
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Abstract

The livestock sector, essential for maintaining food supply and security, encounters numerous obstacles as a result of climate change. Rising global populations exacerbate competition for natural resources, affecting feed quality and availability, heightening livestock disease risks, increasing heat stress, and contributing to biodiversity loss. Although various management and dietary interventions exist to alleviate these impacts, they often offer only short-lived solutions. We must take a more comprehensive approach to understanding how animals adapt to and endure their environments. One such approach is quantifying transcriptomes under different environments, which can uncover underlying pathways essential for livestock adaptation. This review explores the progress and techniques in studies that apply gene expression analysis to livestock production systems, focusing on their adaptation to climate change. We also attempt to identify various biomarkers and transcriptomic differences between species and pure/crossbred animals. Looking ahead, integrating emerging technologies such as spatialomics could further accelerate genetic improvements, enabling more thermoresilient and productive livestock in response to future climate fluctuations. Ultimately, insights from these studies will help optimize livestock production systems by identifying thermoresilient/desired animals for use in precise breeding programs to counter climate change.

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农场动物的气候适应能力:基于转录组学的差异表达基因和应激途径的变化。
畜牧业对维持粮食供应和安全至关重要,但却因气候变化而面临重重障碍。全球人口增长加剧了对自然资源的争夺,影响了饲料质量和供应,增加了牲畜疾病风险,加剧了热应力,并导致生物多样性丧失。虽然有各种管理和饮食干预措施来减轻这些影响,但它们往往只能提供短暂的解决方案。我们必须采取更全面的方法来了解动物如何适应和忍受环境。其中一种方法就是对不同环境下的转录组进行量化,从而发现牲畜适应环境的基本途径。本综述探讨了将基因表达分析应用于家畜生产系统的研究进展和技术,重点是家畜对气候变化的适应性。我们还试图找出物种和纯种/杂交动物之间的各种生物标志物和转录组差异。展望未来,整合空间组学等新兴技术可进一步加快基因改良,使牲畜具有更强的耐热性和生产率,以应对未来的气候波动。最终,这些研究的洞察力将有助于优化畜牧生产系统,确定热适应性/所需的动物,用于精确的育种计划,以应对气候变化。
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来源期刊
BioTech
BioTech Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
3.70
自引率
0.00%
发文量
51
审稿时长
11 weeks
期刊最新文献
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