• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用整合互作组学改善农场动物健康和福利:以雀麦中毒为例。

Use of Integrative Interactomics for Improvement of Farm Animal Health and Welfare: An Example with Fescue Toxicosis.

机构信息

Interdisciplinary Toxicology Program, Department of Physiology and Pharmacology, University of Georgia, Athens, GA 30602, USA.

出版信息

Toxins (Basel). 2020 Oct 1;12(10):633. doi: 10.3390/toxins12100633.

DOI:10.3390/toxins12100633
PMID:33019560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7600642/
Abstract

Rapid scientific advances are increasing our understanding of the way complex biological interactions integrate to maintain homeostatic balance and how seemingly small, localized perturbations can lead to systemic effects. The 'omics movement, alongside increased throughput resulting from statistical and computational advances, has transformed our understanding of disease mechanisms and the multi-dimensional interaction between environmental stressors and host physiology through data integration into multi-dimensional analyses, i.e., integrative interactomics. This review focuses on the use of high-throughput technologies in farm animal research, including health- and toxicology-related papers. Although limited, we highlight recent animal agriculture-centered reports from the integrative multi-'omics movement. We provide an example with fescue toxicosis, an economically costly disease affecting grazing livestock, and describe how integrative interactomics can be applied to a disease with a complex pathophysiology in the pursuit of novel treatment and management approaches. We outline how 'omics techniques have been used thus far to understand fescue toxicosis pathophysiology, lay out a framework for the fescue toxicosis integrome, identify some challenges we foresee, and offer possible means for addressing these challenges. Finally, we briefly discuss how the example with fescue toxicosis could be used for other agriculturally important animal health and welfare problems.

摘要

快速的科学进步正在增进我们对复杂生物相互作用整合以维持体内平衡的方式的理解,以及看似微小的局部扰动如何导致全身效应。“组学”研究的兴起,加上统计和计算方面的进步带来的高通量,通过数据整合到多维分析中,即综合相互组学,改变了我们对疾病机制以及环境应激源与宿主生理学之间多维相互作用的理解。本文重点介绍了高通量技术在农场动物研究中的应用,包括与健康和毒理学相关的论文。虽然有限,但我们强调了最近动物农业为中心的综合多组学研究报告。我们以毒害羊草中毒为例,这是一种影响放牧牲畜的经济代价高昂的疾病,并描述了如何将综合相互组学应用于具有复杂病理生理学的疾病,以寻求新的治疗和管理方法。我们概述了迄今为止“组学”技术如何用于了解羊草中毒病理生理学,提出了羊草中毒综合组学框架,确定了我们预见的一些挑战,并提出了可能的解决这些挑战的方法。最后,我们简要讨论了如何将羊草中毒的例子用于解决其他重要的农业动物健康和福利问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1255/7600642/98b23b66d836/toxins-12-00633-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1255/7600642/81ab4b266007/toxins-12-00633-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1255/7600642/98b23b66d836/toxins-12-00633-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1255/7600642/81ab4b266007/toxins-12-00633-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1255/7600642/98b23b66d836/toxins-12-00633-g002.jpg

相似文献

1
Use of Integrative Interactomics for Improvement of Farm Animal Health and Welfare: An Example with Fescue Toxicosis.利用整合互作组学改善农场动物健康和福利:以雀麦中毒为例。
Toxins (Basel). 2020 Oct 1;12(10):633. doi: 10.3390/toxins12100633.
2
Integrative interactomics applied to bovine fescue toxicosis.整合互作组学在牛食黑麦草中毒中的应用。
Sci Rep. 2022 Mar 22;12(1):4899. doi: 10.1038/s41598-022-08540-2.
3
Forages and pastures symposium: managing the tall fescue-fungal endophyte symbiosis for optimum forage-animal production.饲草和牧场研讨会:管理高羊茅-真菌内生菌共生体以实现最佳饲草-动物生产。
J Anim Sci. 2013 May;91(5):2369-78. doi: 10.2527/jas.2012-5948. Epub 2013 Jan 10.
4
Beef cattle that respond differently to fescue toxicosis have distinct gastrointestinal tract microbiota.对羊茅毒素反应不同的肉牛具有不同的胃肠道微生物群。
PLoS One. 2020 Jul 23;15(7):e0229192. doi: 10.1371/journal.pone.0229192. eCollection 2020.
5
Metabolomics of fescue toxicosis in grazing beef steers.放牧肉牛的牛尾草中毒代谢组学
Food Chem Toxicol. 2017 Jul;105:285-299. doi: 10.1016/j.fct.2017.04.020. Epub 2017 Apr 18.
6
Use of nonergot alkaloid-producing endophytes for alleviating tall fescue toxicosis in sheep.利用不产生麦角生物碱的内生真菌缓解绵羊的高羊茅中毒症。
J Anim Sci. 2003 May;81(5):1316-22. doi: 10.2527/2003.8151316x.
7
Behavioral and Physiological Alterations in Angus Steers Grazing Endophyte-Infected Toxic Fescue during Late Fall.秋季后期采食内生真菌侵染毒麦的安格斯阉牛的行为和生理变化。
Toxins (Basel). 2023 May 18;15(5):343. doi: 10.3390/toxins15050343.
8
Toxic endophyte-infected tall fescue and range grasses: historic perspectives.感染有毒内生真菌的高羊茅和牧草:历史视角
J Anim Sci. 1995 Mar;73(3):861-70. doi: 10.2527/1995.733861x.
9
Characterization of Epichloë coenophiala within the US: are all tall fescue endophytes created equal?美国内生真菌 Epichloë coenophiala 的特征:所有高羊茅内生真菌都是平等的吗?
Front Chem. 2014 Nov 4;2:95. doi: 10.3389/fchem.2014.00095. eCollection 2014.
10
Effects of grazing tall fescue containing ergot alkaloids on bull sperm cryopreservation.放牧含有麦角生物碱的高羊茅对公牛精子冷冻保存的影响。
Anim Reprod Sci. 2017 Jun;181:24-29. doi: 10.1016/j.anireprosci.2017.03.011. Epub 2017 Mar 28.

引用本文的文献

1
Global Impact of Ergot Alkaloids.麦角生物碱的全球影响。
Toxins (Basel). 2022 Mar 3;14(3):186. doi: 10.3390/toxins14030186.
2
Integrative interactomics applied to bovine fescue toxicosis.整合互作组学在牛食黑麦草中毒中的应用。
Sci Rep. 2022 Mar 22;12(1):4899. doi: 10.1038/s41598-022-08540-2.
3
Interaction between Grasses and Endophytes and Its Significance to Biotic and Abiotic Stress Tolerance and the Rhizosphere.禾本科植物与内生真菌之间的相互作用及其对生物和非生物胁迫耐受性以及根际的意义。

本文引用的文献

1
Beef cattle that respond differently to fescue toxicosis have distinct gastrointestinal tract microbiota.对羊茅毒素反应不同的肉牛具有不同的胃肠道微生物群。
PLoS One. 2020 Jul 23;15(7):e0229192. doi: 10.1371/journal.pone.0229192. eCollection 2020.
2
The epidemic of 2019-novel-coronavirus (2019-nCoV) pneumonia and insights for emerging infectious diseases in the future.2019 新型冠状病毒肺炎疫情及对未来新发传染病的启示。
Microbes Infect. 2020 Mar;22(2):80-85. doi: 10.1016/j.micinf.2020.02.002. Epub 2020 Feb 20.
3
Multi-omics Data Integration, Interpretation, and Its Application.
Microorganisms. 2021 Oct 20;9(11):2186. doi: 10.3390/microorganisms9112186.
4
Examining the Impacts of CO Concentration and Genetic Compatibility on Perennial Ryegrass- var Interactions.研究一氧化碳浓度和遗传相容性对多年生黑麦草品种间相互作用的影响。
J Fungi (Basel). 2020 Dec 11;6(4):360. doi: 10.3390/jof6040360.
多组学数据整合、解读及其应用
Bioinform Biol Insights. 2020 Jan 31;14:1177932219899051. doi: 10.1177/1177932219899051. eCollection 2020.
4
Toxic tall fescue grazing increases susceptibility of the Angus steer fecal microbiota and plasma/urine metabolome to environmental effects.有毒梯牧草放牧增加了安格斯阉牛粪便微生物群和血浆/尿液代谢组对环境影响的易感性。
Sci Rep. 2020 Feb 12;10(1):2497. doi: 10.1038/s41598-020-59104-1.
5
Prospects and challenges of multi-omics data integration in toxicology.毒理学中多组学数据整合的前景与挑战。
Arch Toxicol. 2020 Feb;94(2):371-388. doi: 10.1007/s00204-020-02656-y. Epub 2020 Feb 8.
6
Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing.比较微生物 16S rRNA 扩增子测序的生物信息学分析流程。
PLoS One. 2020 Jan 16;15(1):e0227434. doi: 10.1371/journal.pone.0227434. eCollection 2020.
7
Investigating temporal microbial dynamics in the rumen of beef calves raised on two farms during early life.研究早期在两个牛场饲养的肉牛犊瘤胃中的时间微生物动态。
FEMS Microbiol Ecol. 2020 Feb 1;96(2). doi: 10.1093/femsec/fiz203.
8
Vertical and horizontal integration of multi-omics data with miodin.多维组学数据与 miodin 的垂直和水平整合。
BMC Bioinformatics. 2019 Dec 10;20(1):649. doi: 10.1186/s12859-019-3224-4.
9
Use of Biomarkers to Assess Environmental Exposures and Health Outcomes in Deployed Troops.利用生物标志物评估部署部队的环境暴露和健康结果。
J Occup Environ Med. 2019 Dec;61 Suppl 12:S1-S4. doi: 10.1097/JOM.0000000000001752.
10
DI/LC-MS/MS-Based Metabolome Analysis of Plasma Reveals the Effects of Sequestering Agents on the Metabolic Status of Dairy Cows Challenged with Aflatoxin B.基于 DI/LC-MS/MS 的血浆代谢组学分析揭示了螯合剂对黄曲霉毒素 B 挑战奶牛代谢状态的影响。
Toxins (Basel). 2019 Nov 26;11(12):693. doi: 10.3390/toxins11120693.