Unraveling gene expression in microbial populations

Unlock the power of NGS to explore microbial communities

What is metatranscriptome sequencing?

Metatranscriptomics is the collective study of expressed mRNA from complex microbial communities.1 Using sequencing to study gene expression in a community, researchers can gain important insights on how microbes respond to a given environment at a specific time. Sequencing RNA from microbiomes can reveal not only which microbes are present, but also their functional activities.

sequencing library prep

Discover the potential of community-level transcriptional information

Powered by next-generation sequencing (NGS) technologies, metatranscriptomics is a research field that spans diverse applications in agriculture, biotechnology, medicine, and more.1-4 In addition to providing data about a complex community’s behavior and function, metatranscriptomics can also provide valuable information about its environment or host.

Given the vast number (millions) of genes whose regulatory systems are not yet understood, metatranscriptomics is poised to make critical biological insights at the community level from native environments.

Featured webinars

Featured metatranscriptomic applications and publications

Uncovering RNA virus diversity

Explore the role metatranscriptomics played in revealing what turned out to be a stunningly vast world for RNA viruses.

SARS-CoV-2 and the microbiome

Read how scientists used metatranscriptomics to detect, track, and identify biomarkers of SARS-CoV-2 and how the virus can affect the respiratory microbiome.

Metatranscriptome sequencing workflow

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Library prep
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Sequencing
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Data Analysis

Metatranscriptome FAQs

Metagenomics is the study of all the genes found within a microbial population sample.5 In contrast, metatranscriptomics is the study of expressed genes, or the transcriptome, of a population.1

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16S rRNA sequencing is a specific method that targets the 16S rRNA gene which is only found in prokaryotes (ie, bacteria and archaea).6 Unlike metatranscriptomics or metagenomics, 16S rRNA sequencing cannot detect other microbes such as viruses and fungi. Although 16S rRNA sequencing is not as susceptible to host DNA contamination, it is limited in detecting functional information and identifying strains/variants compared to metatranscriptomic or metagenomic sequencing methods.

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RNA extraction can be achieved by using commercially available microbiome RNA extraction kits that provide an RNA Integrity Number, or RIN, greater than, or equal to, five.

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The BaseSpace Microbiome Metatranscriptomics app is included with the Ribo-Zero Plus Microbiome Depletion Kit and offers bioinformatics tools to perform comprehensive metatranscriptome analyses.

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References

  1. Mukherjee A, Reddy MS. Metatranscriptomics: an approach for retrieving novel eukaryotic genes from polluted and related environments. 3 Biotech. 2020; 10(2). doi: 10.1007/s13205-020-2057-1. 
  2. Sharuddin SS, Ramli N, Yusoff MZM, et al. Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review. Int J Mol Sci. 2022; 23(7). doi: 10.3390/ijms23073737.
  3. de Vos WM, Tilg H, Van Hul M, et al. Gut microbiome and health: mechanistic insights. Gut. 2022; 71(5). doi: 10.1136/gutjnl-2021-326789.
  4. Saarenpää S, Shalev O, Ashkenazy H, et al. Spatial metatranscriptomics resolves host-bacteria-fungi interactomes. Nat Biotechnol. 2023 Nov 20. doi: 10.1038/s41587-023-01979-2.
  5. Metagenomics. National Human Genome Institute. genome.gov/genetics-glossary/Metagenomics. Accessed July 12, 2024.
  6. Janda JM, Abbott SL. 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J Clin Microbiol. 2007 Sep;45(9):2761-4. doi: 10.1128/JCM.01228-07.