Unlocking microbial reservoirs for antimicrobial peptides and beyond.

IF 17.3 1区 生物学 Q1 PLANT SCIENCES Trends in Plant Science Pub Date : 2024-12-06 DOI:10.1016/j.tplants.2024.11.013
Akanksha Singh, Shivam Chauhan, Prabodh Kumar Trivedi
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引用次数: 0

Abstract

Recently, Santos-Júnior et al. utilized a machine learning approach to identify nearly a million novel antimicrobial peptides (AMPs) from the global microbiome. Here we explore the untapped potential of plant- and soil-associated microbiomes as a source of novel peptides, highlighting their promising applications in advancing agricultural innovation and sustainability.

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解锁微生物储存库的抗菌肽和超越。
最近,Santos-Júnior等人利用机器学习方法从全球微生物组中鉴定了近100万种新型抗菌肽(amp)。在这里,我们探索了植物和土壤相关微生物群作为新肽来源的未开发潜力,强调了它们在推进农业创新和可持续性方面的有前途的应用。
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来源期刊
Trends in Plant Science
Trends in Plant Science 生物-植物科学
CiteScore
31.30
自引率
2.00%
发文量
196
审稿时长
6-12 weeks
期刊介绍: Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.
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