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利用多尺度和多系统微生物组比较鉴定影响高粱抗旱响应的有益和有害细菌。

Identification of beneficial and detrimental bacteria impacting sorghum responses to drought using multi-scale and multi-system microbiome comparisons.

机构信息

Donald Danforth Plant Science Center, St. Louis, MO, USA.

Washington University, St. Louis, MO, USA.

出版信息

ISME J. 2022 Aug;16(8):1957-1969. doi: 10.1038/s41396-022-01245-4. Epub 2022 May 6.

Abstract

Drought is a major abiotic stress limiting agricultural productivity. Previous field-level experiments have demonstrated that drought decreases microbiome diversity in the root and rhizosphere. How these changes ultimately affect plant health remains elusive. Toward this end, we combined reductionist, transitional and ecological approaches, applied to the staple cereal crop sorghum to identify key root-associated microbes that robustly affect drought-stressed plant phenotypes. Fifty-three Arabidopsis-associated bacteria were applied to sorghum seeds and their effect on root growth was monitored. Two Arthrobacter strains caused root growth inhibition (RGI) in Arabidopsis and sorghum. In the context of synthetic communities, Variovorax strains were able to protect plants from Arthrobacter-caused RGI. As a transitional system, high-throughput phenotyping was used to test the synthetic communities. During drought stress, plants colonized by Arthrobacter had reduced growth and leaf water content. Plants colonized by both Arthrobacter and Variovorax performed as well or better than control plants. In parallel, we performed a field trial wherein sorghum was evaluated across drought conditions. By incorporating data on soil properties into the microbiome analysis, we accounted for experimental noise with a novel method and were able to observe the negative correlation between the abundance of Arthrobacter and plant growth. Having validated this approach, we cross-referenced datasets from the high-throughput phenotyping and field experiments and report a list of bacteria with high confidence that positively associated with plant growth under drought stress. In conclusion, a three-tiered experimental system successfully spanned the lab-to-field gap and identified beneficial and deleterious bacterial strains for sorghum under drought.

摘要

干旱是限制农业生产力的主要非生物胁迫因素。先前的田间实验已经证明,干旱会降低根和根际微生物组的多样性。这些变化如何最终影响植物健康仍然难以捉摸。为此,我们结合了简化、过渡和生态方法,应用于主要的谷类作物高粱上,以确定对干旱胁迫植物表型有显著影响的关键根相关微生物。将 53 种拟南芥相关细菌应用于高粱种子,并监测其对根生长的影响。两种节杆菌菌株在拟南芥和高粱中引起根生长抑制(RGI)。在合成群落的背景下,沃氏菌能够保护植物免受节杆菌引起的 RGI。作为一个过渡系统,高通量表型分析用于测试合成群落。在干旱胁迫下,被节杆菌定殖的植物生长和叶片含水量降低。被节杆菌和沃氏菌定殖的植物的生长表现与对照植物一样或更好。与此同时,我们进行了一项田间试验,评估了高粱在不同干旱条件下的表现。通过将土壤特性数据纳入微生物组分析,我们使用一种新方法来解释实验噪声,并能够观察到节杆菌丰度与植物生长之间的负相关关系。在验证了这种方法后,我们交叉参考了高通量表型和田间实验的数据集,并报告了一组具有高可信度的细菌,它们在干旱胁迫下与植物生长呈正相关。总之,一个三层实验系统成功地跨越了实验室到野外的差距,确定了干旱条件下高粱有益和有害细菌菌株。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47d5/9296637/1a93290edb9d/41396_2022_1245_Fig1_HTML.jpg

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