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Genetic variation and function: revealing potential factors associated with microbial phenotypes
Innovations in sequencing technology have generated voluminous microbial and host genomic data, making it possible to detect these genetic variations and analyze the function influenced by them. Recently, many studies have linked such genetic variations to phenotypes through association or comparati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biophysics Reports Editorial Office
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235906/ https://www.ncbi.nlm.nih.gov/pubmed/37288143 http://dx.doi.org/10.52601/bpr.2021.200040 |
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author | Liu, Xiaolin Ma, Yue Wang, Jun |
author_facet | Liu, Xiaolin Ma, Yue Wang, Jun |
author_sort | Liu, Xiaolin |
collection | PubMed |
description | Innovations in sequencing technology have generated voluminous microbial and host genomic data, making it possible to detect these genetic variations and analyze the function influenced by them. Recently, many studies have linked such genetic variations to phenotypes through association or comparative analysis, which have further advanced our understanding of multiple microbial functions. In this review, we summarized the application of association analysis in microbes like Mycobacterium tuberculosis, focusing on screening of microbial genetic variants potentially associated with phenotypes such as drug resistance, pathogenesis and novel drug targets etc.; reviewed the application of additional comparative genomic or transcriptomic methods to identify genetic factors associated with functions in microbes; expanded the scope of our study to focus on host genetic factors associated with certain microbes or microbiome and summarized the recent host genetic variations associated with microbial phenotypes, including susceptibility and load after infection of HIV, presence/absence of different taxa, and quantitative traits of microbiome, and lastly, discussed the challenges that may be encountered and the apparent or potential viable solutions. Gene-function analysis of microbe and microbiome is still in its infancy, and in order to unleash its full potential, it is necessary to understand its history, current status, and the challenges hindering its development. |
format | Online Article Text |
id | pubmed-10235906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Biophysics Reports Editorial Office |
record_format | MEDLINE/PubMed |
spelling | pubmed-102359062023-06-07 Genetic variation and function: revealing potential factors associated with microbial phenotypes Liu, Xiaolin Ma, Yue Wang, Jun Biophys Rep Review Innovations in sequencing technology have generated voluminous microbial and host genomic data, making it possible to detect these genetic variations and analyze the function influenced by them. Recently, many studies have linked such genetic variations to phenotypes through association or comparative analysis, which have further advanced our understanding of multiple microbial functions. In this review, we summarized the application of association analysis in microbes like Mycobacterium tuberculosis, focusing on screening of microbial genetic variants potentially associated with phenotypes such as drug resistance, pathogenesis and novel drug targets etc.; reviewed the application of additional comparative genomic or transcriptomic methods to identify genetic factors associated with functions in microbes; expanded the scope of our study to focus on host genetic factors associated with certain microbes or microbiome and summarized the recent host genetic variations associated with microbial phenotypes, including susceptibility and load after infection of HIV, presence/absence of different taxa, and quantitative traits of microbiome, and lastly, discussed the challenges that may be encountered and the apparent or potential viable solutions. Gene-function analysis of microbe and microbiome is still in its infancy, and in order to unleash its full potential, it is necessary to understand its history, current status, and the challenges hindering its development. Biophysics Reports Editorial Office 2021-04-30 /pmc/articles/PMC10235906/ /pubmed/37288143 http://dx.doi.org/10.52601/bpr.2021.200040 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Liu, Xiaolin Ma, Yue Wang, Jun Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title | Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title_full | Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title_fullStr | Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title_full_unstemmed | Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title_short | Genetic variation and function: revealing potential factors associated with microbial phenotypes |
title_sort | genetic variation and function: revealing potential factors associated with microbial phenotypes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235906/ https://www.ncbi.nlm.nih.gov/pubmed/37288143 http://dx.doi.org/10.52601/bpr.2021.200040 |
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