Potato crop performance is predicted by tuber microbiome

IF 20.5 1区 生物学 Q1 MICROBIOLOGY Nature Microbiology Pub Date : 2024-12-30 DOI:10.1038/s41564-024-01893-6
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Abstract

A predictive model developed using machine learning, high-throughput sequencing of the microbiomes associated with seed tubers and drone imaging of the crops growing from the tubers can forecast the performance of potato plants based on the microbiome composition of their seed tubers. In addition, this model can identify the best microbial predictors of potato plant growth.

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马铃薯块茎微生物组预测马铃薯作物生产性能
利用机器学习、与种块茎相关的微生物组的高通量测序和从种块茎生长的作物的无人机成像开发的预测模型可以根据种块茎的微生物组组成预测马铃薯植物的性能。此外,该模型还能识别出马铃薯植株生长的最佳微生物预测因子。
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来源期刊
Nature Microbiology
Nature Microbiology Immunology and Microbiology-Microbiology
CiteScore
44.40
自引率
1.10%
发文量
226
期刊介绍: Nature Microbiology aims to cover a comprehensive range of topics related to microorganisms. This includes: Evolution: The journal is interested in exploring the evolutionary aspects of microorganisms. This may include research on their genetic diversity, adaptation, and speciation over time. Physiology and cell biology: Nature Microbiology seeks to understand the functions and characteristics of microorganisms at the cellular and physiological levels. This may involve studying their metabolism, growth patterns, and cellular processes. Interactions: The journal focuses on the interactions microorganisms have with each other, as well as their interactions with hosts or the environment. This encompasses investigations into microbial communities, symbiotic relationships, and microbial responses to different environments. Societal significance: Nature Microbiology recognizes the societal impact of microorganisms and welcomes studies that explore their practical applications. This may include research on microbial diseases, biotechnology, or environmental remediation. In summary, Nature Microbiology is interested in research related to the evolution, physiology and cell biology of microorganisms, their interactions, and their societal relevance.
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