Comparative metatranscriptomics reveals kingdom level changes in the rhizosphere microbiome of plants

被引:0
作者
Thomas R Turner
Karunakaran Ramakrishnan
John Walshaw
Darren Heavens
Mark Alston
David Swarbreck
Anne Osbourn
Alastair Grant
Philip S Poole
机构
[1] John Innes Centre,Department of Molecular Microbiology
[2] Institute of Food Research,Department of Metabolic Biology
[3] The Genome Analysis Centre,undefined
[4] John Innes Centre,undefined
[5] Earth Life Systems Alliance,undefined
[6] School of Environmental Sciences,undefined
[7] University of East Anglia,undefined
来源
The ISME Journal | 2013年 / 7卷
关键词
rhizosphere; metatranscriptomics; microbiome; wheat; oat; pea;
D O I
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中图分类号
学科分类号
摘要
Plant–microbe interactions in the rhizosphere have important roles in biogeochemical cycling, and maintenance of plant health and productivity, yet remain poorly understood. Using RNA-based metatranscriptomics, the global active microbiomes were analysed in soil and rhizospheres of wheat, oat, pea and an oat mutant (sad1) deficient in production of anti-fungal avenacins. Rhizosphere microbiomes differed from bulk soil and between plant species. Pea (a legume) had a much stronger effect on the rhizosphere than wheat and oat (cereals), resulting in a dramatically different rhizosphere community. The relative abundance of eukaryotes in the oat and pea rhizospheres was more than fivefold higher than in the wheat rhizosphere or bulk soil. Nematodes and bacterivorous protozoa were enriched in all rhizospheres, whereas the pea rhizosphere was highly enriched for fungi. Metabolic capabilities for rhizosphere colonisation were selected, including cellulose degradation (cereals), H2 oxidation (pea) and methylotrophy (all plants). Avenacins had little effect on the prokaryotic community of oat, but the eukaryotic community was strongly altered in the sad1 mutant, suggesting that avenacins have a broader role than protecting from fungal pathogens. Profiling microbial communities with metatranscriptomics allows comparison of relative abundance, from multiple samples, across all domains of life, without polymerase chain reaction bias. This revealed profound differences in the rhizosphere microbiome, particularly at the kingdom level between plants.
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页码:2248 / 2258
页数:10
相关论文
共 279 条
[1]  
Alon S(2011)Barcoding bias in high-throughput multiplex sequencing of miRNA Genome Res 21 1506-1511
[2]  
Vigneault F(1999)The membrane-permeabilizing effect of avenacin A-1 involves the reorganization of bilayer cholesterol Biophys J 76 281-290
[3]  
Eminaga S(2007)Soil eukaryotic functional diversity, a metatranscriptomic approach ISME J 1 632-642
[4]  
Christodoulou DC(2008)Accurate whole human genome sequencing using reversible terminator chemistry Nature 456 53-59
[5]  
Seidman JG(2001)Molecular basis of plant growth promotion and biocontrol by rhizobacteria Curr Opin Plant Biol 4 343-350
[6]  
Church GM(2012)Revealing structure and assembly cues for Nature 488 91-95
[7]  
Armah CN(2012) root-inhabiting bacterial microbiota ISME J 6 1621-1624
[8]  
Mackie AR(1999)Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms Appl Environ Microbiol 65 3364-3372
[9]  
Roy C(2009)Isolation, characterization, and avenacin sensitivity of a diverse collection of cereal-root-colonizing fungi Nucleic Acids Res 37 D141-D145
[10]  
Price K(2009)The Ribosomal Database Project: improved alignments and new tools for rRNA analysis Proc Natl Acad Sci USA 106 16428-16433