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Recovery of microbial community profile information hidden in chimeric sequence reads

The next frontier in the field of microbiome studies is identification of all microbes present in the microbiome and accurate determination of their abundance such that microbiome profiles can serve as reliable assessments of health or disease status. PCR-based 16S rRNA gene sequencing and metagenom...

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Autores principales: Ho, Mengfei, Moon, Damee, Pires-Alves, Melissa, Thornton, Patrick D., McFarlin, Barbara L., Wilson, Brenda A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453192/
https://www.ncbi.nlm.nih.gov/pubmed/34589188
http://dx.doi.org/10.1016/j.csbj.2021.08.050
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author Ho, Mengfei
Moon, Damee
Pires-Alves, Melissa
Thornton, Patrick D.
McFarlin, Barbara L.
Wilson, Brenda A.
author_facet Ho, Mengfei
Moon, Damee
Pires-Alves, Melissa
Thornton, Patrick D.
McFarlin, Barbara L.
Wilson, Brenda A.
author_sort Ho, Mengfei
collection PubMed
description The next frontier in the field of microbiome studies is identification of all microbes present in the microbiome and accurate determination of their abundance such that microbiome profiles can serve as reliable assessments of health or disease status. PCR-based 16S rRNA gene sequencing and metagenome shotgun sequencing technologies are the prevailing approaches used in microbiome analyses. Each poses a number of technical challenges associated with PCR amplification, sample availability, and cost of processing and analysis. In general, results from these two approaches rarely agree completely with each other. Here, we compare these methods utilizing a set of vaginal swab and lavage specimens from a cohort of 42 pregnant women collected for a pilot study exploring the effect of the vaginal microbiome on preterm birth. We generated the microbial community profiles from the sequencing reads of the V3V4 and V4V5 regions of the 16S rRNA gene in the vaginal swab and lavage samples. For a subset of the vaginal samples from 12 subjects, we also performed metagenomic shotgun sequencing analysis and compared the results obtained from the PCR-based sequencing methods. Our findings suggest that sample composition and complexity, particularly at the species level, are major factors that must be considered when analyzing and interpreting microbiome data. Our approach to sequence analysis includes consideration of chimeric reads, by using our chimera-counting BlastBin program, and enables recovery of microbial content information generated during PCR-based sequencing methods, such that the microbial profiles more closely resemble those obtained from metagenomic read-based approaches.
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spelling pubmed-84531922021-09-28 Recovery of microbial community profile information hidden in chimeric sequence reads Ho, Mengfei Moon, Damee Pires-Alves, Melissa Thornton, Patrick D. McFarlin, Barbara L. Wilson, Brenda A. Comput Struct Biotechnol J Research Article The next frontier in the field of microbiome studies is identification of all microbes present in the microbiome and accurate determination of their abundance such that microbiome profiles can serve as reliable assessments of health or disease status. PCR-based 16S rRNA gene sequencing and metagenome shotgun sequencing technologies are the prevailing approaches used in microbiome analyses. Each poses a number of technical challenges associated with PCR amplification, sample availability, and cost of processing and analysis. In general, results from these two approaches rarely agree completely with each other. Here, we compare these methods utilizing a set of vaginal swab and lavage specimens from a cohort of 42 pregnant women collected for a pilot study exploring the effect of the vaginal microbiome on preterm birth. We generated the microbial community profiles from the sequencing reads of the V3V4 and V4V5 regions of the 16S rRNA gene in the vaginal swab and lavage samples. For a subset of the vaginal samples from 12 subjects, we also performed metagenomic shotgun sequencing analysis and compared the results obtained from the PCR-based sequencing methods. Our findings suggest that sample composition and complexity, particularly at the species level, are major factors that must be considered when analyzing and interpreting microbiome data. Our approach to sequence analysis includes consideration of chimeric reads, by using our chimera-counting BlastBin program, and enables recovery of microbial content information generated during PCR-based sequencing methods, such that the microbial profiles more closely resemble those obtained from metagenomic read-based approaches. Research Network of Computational and Structural Biotechnology 2021-09-03 /pmc/articles/PMC8453192/ /pubmed/34589188 http://dx.doi.org/10.1016/j.csbj.2021.08.050 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ho, Mengfei
Moon, Damee
Pires-Alves, Melissa
Thornton, Patrick D.
McFarlin, Barbara L.
Wilson, Brenda A.
Recovery of microbial community profile information hidden in chimeric sequence reads
title Recovery of microbial community profile information hidden in chimeric sequence reads
title_full Recovery of microbial community profile information hidden in chimeric sequence reads
title_fullStr Recovery of microbial community profile information hidden in chimeric sequence reads
title_full_unstemmed Recovery of microbial community profile information hidden in chimeric sequence reads
title_short Recovery of microbial community profile information hidden in chimeric sequence reads
title_sort recovery of microbial community profile information hidden in chimeric sequence reads
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453192/
https://www.ncbi.nlm.nih.gov/pubmed/34589188
http://dx.doi.org/10.1016/j.csbj.2021.08.050
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