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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...

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Autores principales: Wei, Yu-jie, Wu, Yun, Yan, Yin-zhuo, Zou, Wan, Xue, Jie, Ma, Wen-rui, Wang, Wei, Tian, Ge, Wang, Li-ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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