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Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition
The ratio of microbial population size relative to the amount of host tissue, or ‘microbial load’, is a fundamental metric of colonization and infection, but it cannot be directly deduced from microbial amplicon data such as 16S rRNA gene counts. Because existing methods to determine load, such as s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387020/ https://www.ncbi.nlm.nih.gov/pubmed/34292157 http://dx.doi.org/10.7554/eLife.66186 |
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author | Lundberg, Derek S Pramoj Na Ayutthaya, Pratchaya Strauß, Annett Shirsekar, Gautam Lo, Wen-Sui Lahaye, Thomas Weigel, Detlef |
author_facet | Lundberg, Derek S Pramoj Na Ayutthaya, Pratchaya Strauß, Annett Shirsekar, Gautam Lo, Wen-Sui Lahaye, Thomas Weigel, Detlef |
author_sort | Lundberg, Derek S |
collection | PubMed |
description | The ratio of microbial population size relative to the amount of host tissue, or ‘microbial load’, is a fundamental metric of colonization and infection, but it cannot be directly deduced from microbial amplicon data such as 16S rRNA gene counts. Because existing methods to determine load, such as serial dilution plating, quantitative PCR, and whole metagenome sequencing add substantial cost and/or experimental burden, they are only rarely paired with amplicon sequencing. We introduce host-associated microbe PCR (hamPCR), a robust strategy to both quantify microbial load and describe interkingdom microbial community composition in a single amplicon library. We demonstrate its accuracy across multiple study systems, including nematodes and major crops, and further present a cost-saving technique to reduce host overrepresentation in the library prior to sequencing. Because hamPCR provides an accessible experimental solution to the well-known limitations and statistical challenges of compositional data, it has far-reaching potential in culture-independent microbiology. |
format | Online Article Text |
id | pubmed-8387020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83870202021-08-27 Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition Lundberg, Derek S Pramoj Na Ayutthaya, Pratchaya Strauß, Annett Shirsekar, Gautam Lo, Wen-Sui Lahaye, Thomas Weigel, Detlef eLife Microbiology and Infectious Disease The ratio of microbial population size relative to the amount of host tissue, or ‘microbial load’, is a fundamental metric of colonization and infection, but it cannot be directly deduced from microbial amplicon data such as 16S rRNA gene counts. Because existing methods to determine load, such as serial dilution plating, quantitative PCR, and whole metagenome sequencing add substantial cost and/or experimental burden, they are only rarely paired with amplicon sequencing. We introduce host-associated microbe PCR (hamPCR), a robust strategy to both quantify microbial load and describe interkingdom microbial community composition in a single amplicon library. We demonstrate its accuracy across multiple study systems, including nematodes and major crops, and further present a cost-saving technique to reduce host overrepresentation in the library prior to sequencing. Because hamPCR provides an accessible experimental solution to the well-known limitations and statistical challenges of compositional data, it has far-reaching potential in culture-independent microbiology. eLife Sciences Publications, Ltd 2021-07-22 /pmc/articles/PMC8387020/ /pubmed/34292157 http://dx.doi.org/10.7554/eLife.66186 Text en © 2021, Lundberg et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Microbiology and Infectious Disease Lundberg, Derek S Pramoj Na Ayutthaya, Pratchaya Strauß, Annett Shirsekar, Gautam Lo, Wen-Sui Lahaye, Thomas Weigel, Detlef Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title | Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title_full | Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title_fullStr | Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title_full_unstemmed | Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title_short | Host-associated microbe PCR (hamPCR) enables convenient measurement of both microbial load and community composition |
title_sort | host-associated microbe pcr (hampcr) enables convenient measurement of both microbial load and community composition |
topic | Microbiology and Infectious Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387020/ https://www.ncbi.nlm.nih.gov/pubmed/34292157 http://dx.doi.org/10.7554/eLife.66186 |
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