Rare fungus, Mortierella capitata, promotes crop growth by stimulating primary metabolisms related genes and reshaping rhizosphere bacterial community
文献类型： 外文期刊
作者： Li, Fang 1 ; Zhang, Shuiqing 2 ; Wang, Yi 1 ; Li, Yue 1 ; Li, Peipei 1 ; Chen, Lin 3 ; Jie, Xiaolei 1 ; Hu, Desheng 1 ; Feng 1 ;
作者机构： 1.Henan Agr Univ, Coll Resources & Environm Sci, Zhengzhou 450002, Peoples R China
2.Henan Acad Agr Sci, Inst Plant Nutr & Environm Resources Sci, Zhengzhou 450002, Peoples R China
3.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China
4.Henan Agr Univ, Coconstruct State Key Lab Wheat & Maize Crop Sci, Zhengzhou 450002, Peoples R China
关键词： Mortierella; Co-occurrence network; Maize root transcriptome; Root-soil-microbe interactions; RNA-Seq
期刊名称：SOIL BIOLOGY & BIOCHEMISTRY （ 影响因子：7.609； 五年影响因子：8.312 ）
ISSN： 0038-0717
年卷期： 2020 年 151 卷
页码：
收录情况： SCI
摘要： Rhizosphere and endosphere microorganisms are recognized as an extended plant genome. Changes in rhizosphere and endosphere microbial community structure are closely linked to plant nutrition uptake, development and immunity. Mortierella is a saprophytic oleaginous fungus, with various agricultural benefits, which have triggered interest in recent years. Here, we conducted Mortierella capitata inoculation experiments in a climate chamber. M. capitata inoculation increased biomass, chlorophyll and gibberellic acid content in maize. The concentration of available soil phosphorus was also increased, while O-2 concentration and soil density decreased. Further, the prokaryotic and eukaryotic microbial structure was evaluated by MiSeq sequencing. M. capitata inoculants increased rhizosphere bacterial diversity and significantly altered rhizosphere bacterial community composition. Yet, the influence of M. capitata on fungal community structure was not significant according to ANOSIM analysis. RNA-seq was used to ascertain differentially expressed genes (DEGs) in maize roots following M. capitata inoculation. Genes encoding chitinase, peroxidase, lipid transfer protein, sugars exported transporter, and various transcription factor proteins were significantly up-regulated. All the DEGs, soil and plant basic properties were used to construct a co-occurrence network for modularity analysis. The whole network was divided into five modules based on Louvain algorithm, including organic substances metabolism and hormone regulation, nucleobases metabolism, stimulus response, primary metabolism and an unknown module. The stimulus response module showed the closest correlation with biomass, soil oxygen, and M. capitata, while genes in the primary metabolism module were closely associated with plant gibberellic acid and available soil phosphorus. Our results highlight that the rare fungus M. capitata can promote crop growth directly by altering the root gene expression levels, and indirectly via interaction with indigenous rhizosphere bacteria.
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