Cargando…

Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments

Fungi in acid mine drainage (AMD) environments are of great concern due to their potentials of decomposing organic carbon, absorbing heavy metals and reducing AMD acidity. Based on morphological analysis and ITS/18S high-throughput sequencing technology, previous studies have provided deep insights...

Descripción completa

Detalles Bibliográficos
Autores principales: Ou, Shu-ning, Liang, Jie-Liang, Jiang, Xiao-min, Liao, Bin, Jia, Pu, Shu, Wen-sheng, Li, Jin-tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298002/
https://www.ncbi.nlm.nih.gov/pubmed/34305876
http://dx.doi.org/10.3389/fmicb.2021.705839
_version_ 1783725970977456128
author Ou, Shu-ning
Liang, Jie-Liang
Jiang, Xiao-min
Liao, Bin
Jia, Pu
Shu, Wen-sheng
Li, Jin-tian
author_facet Ou, Shu-ning
Liang, Jie-Liang
Jiang, Xiao-min
Liao, Bin
Jia, Pu
Shu, Wen-sheng
Li, Jin-tian
author_sort Ou, Shu-ning
collection PubMed
description Fungi in acid mine drainage (AMD) environments are of great concern due to their potentials of decomposing organic carbon, absorbing heavy metals and reducing AMD acidity. Based on morphological analysis and ITS/18S high-throughput sequencing technology, previous studies have provided deep insights into the diversity and community composition of fungi in AMD environments. However, knowledge about physiology, metabolic potential and transcriptome profiles of fungi inhabiting AMD environments is still scarce. Here, we reported the physiological, genomic, and transcriptomic characterization of Acidiella bohemica SYSU C17045 to improve our understanding of the physiological, genomic, and transcriptomic mechanisms underlying fungal adaptation to AMD environments. A. bohemica was isolated from an AMD environment, which has been proved to be an acidophilic fungus in this study. The surface of A. bohemica cultured in AMD solutions was covered with a large number of minerals such as jarosite. We thus inferred that the A. bohemica might have the potential of biologically induced mineralization. Taking advantage of PacBio single-molecule real-time sequencing, we obtained the high-quality genome sequences of A. bohemica (50 Mbp). To our knowledge, this was the first attempt to employ a third-generation sequencing technology to explore the genomic traits of fungi isolated from AMD environments. Moreover, our transcriptomic analysis revealed that a series of genes in the A. bohemica genome were related to its metabolic pathways of C, N, S, and Fe as well as its adaptation mechanisms, including the response to acid stress and the resistance to heavy metals. Overall, our physiological, genomic, and transcriptomic data provide a foundation for understanding the metabolic potential and adaptation mechanisms of fungi in AMD environments.
format Online
Article
Text
id pubmed-8298002
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82980022021-07-23 Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments Ou, Shu-ning Liang, Jie-Liang Jiang, Xiao-min Liao, Bin Jia, Pu Shu, Wen-sheng Li, Jin-tian Front Microbiol Microbiology Fungi in acid mine drainage (AMD) environments are of great concern due to their potentials of decomposing organic carbon, absorbing heavy metals and reducing AMD acidity. Based on morphological analysis and ITS/18S high-throughput sequencing technology, previous studies have provided deep insights into the diversity and community composition of fungi in AMD environments. However, knowledge about physiology, metabolic potential and transcriptome profiles of fungi inhabiting AMD environments is still scarce. Here, we reported the physiological, genomic, and transcriptomic characterization of Acidiella bohemica SYSU C17045 to improve our understanding of the physiological, genomic, and transcriptomic mechanisms underlying fungal adaptation to AMD environments. A. bohemica was isolated from an AMD environment, which has been proved to be an acidophilic fungus in this study. The surface of A. bohemica cultured in AMD solutions was covered with a large number of minerals such as jarosite. We thus inferred that the A. bohemica might have the potential of biologically induced mineralization. Taking advantage of PacBio single-molecule real-time sequencing, we obtained the high-quality genome sequences of A. bohemica (50 Mbp). To our knowledge, this was the first attempt to employ a third-generation sequencing technology to explore the genomic traits of fungi isolated from AMD environments. Moreover, our transcriptomic analysis revealed that a series of genes in the A. bohemica genome were related to its metabolic pathways of C, N, S, and Fe as well as its adaptation mechanisms, including the response to acid stress and the resistance to heavy metals. Overall, our physiological, genomic, and transcriptomic data provide a foundation for understanding the metabolic potential and adaptation mechanisms of fungi in AMD environments. Frontiers Media S.A. 2021-07-08 /pmc/articles/PMC8298002/ /pubmed/34305876 http://dx.doi.org/10.3389/fmicb.2021.705839 Text en Copyright © 2021 Ou, Liang, Jiang, Liao, Jia, Shu and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Ou, Shu-ning
Liang, Jie-Liang
Jiang, Xiao-min
Liao, Bin
Jia, Pu
Shu, Wen-sheng
Li, Jin-tian
Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title_full Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title_fullStr Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title_full_unstemmed Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title_short Physiological, Genomic and Transcriptomic Analyses Reveal the Adaptation Mechanisms of Acidiella bohemica to Extreme Acid Mine Drainage Environments
title_sort physiological, genomic and transcriptomic analyses reveal the adaptation mechanisms of acidiella bohemica to extreme acid mine drainage environments
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298002/
https://www.ncbi.nlm.nih.gov/pubmed/34305876
http://dx.doi.org/10.3389/fmicb.2021.705839
work_keys_str_mv AT oushuning physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT liangjieliang physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT jiangxiaomin physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT liaobin physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT jiapu physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT shuwensheng physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments
AT lijintian physiologicalgenomicandtranscriptomicanalysesrevealtheadaptationmechanismsofacidiellabohemicatoextremeacidminedrainageenvironments