ArticleApplied and environmental microbiology2010
Development of an environmental functional gene microarray for soil microbial communities.
Article in Applied and environmental microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Functional Prediction of Biological Profile During Eutrophication in Marine Environment.Bioinformatics and biology insights · 2022Article
- Article
- Warming Alters Expressions of Microbial Functional Genes Important to Ecosystem Functioning.Frontiers in microbiology · 2016Article
- Linking microbial community structure to β-glucosidic function in soil aggregates.The ISME journal · 2013Article
- Molecular techniques in the biotechnological fight against halogenated compounds in anoxic environments.Microbial biotechnology · 2012Review
- Identification of active denitrifiers in rice paddy soil by DNA- and RNA-based analyses.Microbes and environments · 2012Article
- Extraction of bacterial RNA from soil: challenges and solutions.Microbes and environments · 2012Review
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Authors and funding
6 authors.
Funding
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Abstract
Functional attributes of microbial communities are difficult to study, and most current techniques rely on DNA- and rRNA-based profiling of taxa and genes, including microarrays containing sequences of known microorganisms. To quantify gene expression in environmental samples in a culture-independent manner, we constructed an environmental functional gene microarray (E-FGA) consisting of 13,056 mRNA-enriched anonymous microbial clones from diverse microbial communities to profile microbial gene transcripts. A new normalization method using internal spot standards was devised to overcome spotting and hybridization bias, enabling direct comparisons of microarrays. To evaluate potential applications of this metatranscriptomic approach for studying microbes in environmental samples, we tested the E-FGA by profiling the microbial activity of agricultural soils with a low or high flux of N₂O. A total of 109 genes displayed expression that differed significantly between soils with low and high N₂O emissions. We conclude that mRNA-based approaches such as the one presented here may complement existing techniques for assessing functional attributes of microbial communities.
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Registered trials
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