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High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China
In this study Illumina MiSeq was performed to investigate microbial diversity in soil, leaves, grape, grape juice and wine. A total of 1,043,102 fungal Internal Transcribed Spacer (ITS) reads and 2,422,188 high quality bacterial 16S rDNA sequences were used for taxonomic classification, revealed fiv...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863948/ https://www.ncbi.nlm.nih.gov/pubmed/29565999 http://dx.doi.org/10.1371/journal.pone.0193097 |
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author | Wei, Yu-jie Wu, Yun Yan, Yin-zhuo Zou, Wan Xue, Jie Ma, Wen-rui Wang, Wei Tian, Ge Wang, Li-ye |
author_facet | Wei, Yu-jie Wu, Yun Yan, Yin-zhuo Zou, Wan Xue, Jie Ma, Wen-rui Wang, Wei Tian, Ge Wang, Li-ye |
author_sort | Wei, Yu-jie |
collection | PubMed |
description | In this study Illumina MiSeq was performed to investigate microbial diversity in soil, leaves, grape, grape juice and wine. A total of 1,043,102 fungal Internal Transcribed Spacer (ITS) reads and 2,422,188 high quality bacterial 16S rDNA sequences were used for taxonomic classification, revealed five fungal and eight bacterial phyla. At the genus level, the dominant fungi were Ascomycota, Sordariales, Tetracladium and Geomyces in soil, Aureobasidium and Pleosporaceae in grapes leaves, Aureobasidium in grape and grape juice. The dominant bacteria were Kaistobacter, Arthrobacter, Skermanella and Sphingomonas in soil, Pseudomonas, Acinetobacter and Kaistobacter in grape and grapes leaves, and Oenococcus in grape juice and wine. Principal coordinate analysis showed structural separation between the composition of fungi and bacteria in all samples. This is the first study to understand microbiome population in soil, grape, grapes leaves, grape juice and wine in Xinjiang through High-throughput Sequencing and identify microorganisms like Saccharomyces cerevisiae and Oenococcus spp. that may contribute to the quality and flavor of wine. |
format | Online Article Text |
id | pubmed-5863948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58639482018-03-28 High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China Wei, Yu-jie Wu, Yun Yan, Yin-zhuo Zou, Wan Xue, Jie Ma, Wen-rui Wang, Wei Tian, Ge Wang, Li-ye PLoS One Research Article In this study Illumina MiSeq was performed to investigate microbial diversity in soil, leaves, grape, grape juice and wine. A total of 1,043,102 fungal Internal Transcribed Spacer (ITS) reads and 2,422,188 high quality bacterial 16S rDNA sequences were used for taxonomic classification, revealed five fungal and eight bacterial phyla. At the genus level, the dominant fungi were Ascomycota, Sordariales, Tetracladium and Geomyces in soil, Aureobasidium and Pleosporaceae in grapes leaves, Aureobasidium in grape and grape juice. The dominant bacteria were Kaistobacter, Arthrobacter, Skermanella and Sphingomonas in soil, Pseudomonas, Acinetobacter and Kaistobacter in grape and grapes leaves, and Oenococcus in grape juice and wine. Principal coordinate analysis showed structural separation between the composition of fungi and bacteria in all samples. This is the first study to understand microbiome population in soil, grape, grapes leaves, grape juice and wine in Xinjiang through High-throughput Sequencing and identify microorganisms like Saccharomyces cerevisiae and Oenococcus spp. that may contribute to the quality and flavor of wine. Public Library of Science 2018-03-22 /pmc/articles/PMC5863948/ /pubmed/29565999 http://dx.doi.org/10.1371/journal.pone.0193097 Text en © 2018 Wei et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wei, Yu-jie Wu, Yun Yan, Yin-zhuo Zou, Wan Xue, Jie Ma, Wen-rui Wang, Wei Tian, Ge Wang, Li-ye High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title | High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title_full | High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title_fullStr | High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title_full_unstemmed | High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title_short | High-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from China |
title_sort | high-throughput sequencing of microbial community diversity in soil, grapes, leaves, grape juice and wine of grapevine from china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863948/ https://www.ncbi.nlm.nih.gov/pubmed/29565999 http://dx.doi.org/10.1371/journal.pone.0193097 |
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