Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China
IntroductionHot springs were previously believed to be uninhabitable due to their hostile nature. However, recent studies have determined that hot springs not only have a rich microbiota but are also involved in various biogeochemical processes and possess unique characteristics that can be utilized...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
|
| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1615879/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849418146807545856 |
|---|---|
| author | Feng Chen Min Cheng Dongyun Rong Yanyan Wang Yanyan Wang Rubing Liang Muhammad Irfan Yingqian Kang Yu Cao Yu Cao |
| author_facet | Feng Chen Min Cheng Dongyun Rong Yanyan Wang Yanyan Wang Rubing Liang Muhammad Irfan Yingqian Kang Yu Cao Yu Cao |
| author_sort | Feng Chen |
| collection | DOAJ |
| description | IntroductionHot springs were previously believed to be uninhabitable due to their hostile nature. However, recent studies have determined that hot springs not only have a rich microbiota but are also involved in various biogeochemical processes and possess unique characteristics that can be utilized for several biotechnological applications. This study aimed to determine the bacterial taxonomic diversity and functional profiles of 11 hot springs in the Guizhou Province, China.MethodsIllumina high-throughput sequencing was used to sequence the V3–V4 region of the 16S rRNA gene from microorganisms in samples collected from these hot springs. Software such as Mothur, the SILVA ribosomal RNA database, and Quantitative Insights into Microbial Ecology (QIIME) were utilized for taxonomic and operational taxonomic unit (OTU) analysis, while PICRUST2 was employed for functional predictions.ResultsGuizhou Baili Rhododendron Hot Spring No.1 (BLDJA) had the highest diversity in terms of species richness, while Jianhe Hot Spring (YAS) had the lowest diversity. At the phylum level, the highest reported phyla included Pseudomonadota, Bacillota, Nitrospirota, Bacteroidota, and Actinomycetota, where Pseudomonadota had the highest abundance (92.094%) in Jianhe Hot Spring (YAS) and the lowest (41.238%) in Guizhou Baili Rhododendron Hot Spring No. 2 (BLDJB). Bacillota has the highest abundance (39.178%) in Guizhou Baili Rhododendron Hot Spring No. 2 (BLDJB) and the lowest (0.547%) in Jiutian Hot Spring (SNJT). The highest predicted functions were observed for amino acid metabolism, followed by carbohydrates. Predicted pathways for secondary metabolite and vitamin synthesis, along with stress-adaptation genes, underscore the biotechnological value of these habitats.DiscussionThis study presents a preliminary survey of 11 hot springs in Guizhou Province, providing important insights into the origin and evolution of microorganisms. Furthermore, studying these microorganisms is crucial for understanding the adaptive mechanisms of life under extreme conditions, such as high temperatures, and for exploring the potential biotechnological applications of these microbes. An in-depth approach combining functional metagenomics and next-generation culturomics is required to fully understand the microbial flora and its potential biotechnological applications. |
| format | Article |
| id | doaj-art-7dfafe0833c443d586089ab60262c8a1 |
| institution | Kabale University |
| issn | 1664-302X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj-art-7dfafe0833c443d586089ab60262c8a12025-08-20T03:32:32ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-06-011610.3389/fmicb.2025.16158791615879Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, ChinaFeng Chen0Min Cheng1Dongyun Rong2Yanyan Wang3Yanyan Wang4Rubing Liang5Muhammad Irfan6Yingqian Kang7Yu Cao8Yu Cao9School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Key Laboratory of Microbiome and Infectious Disease Prevention & Control & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, ChinaDepartment of Nosocomial Infection Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, ChinaSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Key Laboratory of Microbiome and Infectious Disease Prevention & Control & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, ChinaSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Key Laboratory of Microbiome and Infectious Disease Prevention & Control & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, ChinaDepartment of Nosocomial Infection Management, The Affiliated Hospital of Guizhou Medical University, Guiyang, ChinaState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, ChinaASRT, Inc., Atlanta, GA, United StatesSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Key Laboratory of Microbiome and Infectious Disease Prevention & Control & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, ChinaSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education & Guizhou Key Laboratory of Microbiome and Infectious Disease Prevention & Control & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, ChinaDepartment of Dermatology, The Affiliated Hospital of Guizhou Medical University, Guiyang, ChinaIntroductionHot springs were previously believed to be uninhabitable due to their hostile nature. However, recent studies have determined that hot springs not only have a rich microbiota but are also involved in various biogeochemical processes and possess unique characteristics that can be utilized for several biotechnological applications. This study aimed to determine the bacterial taxonomic diversity and functional profiles of 11 hot springs in the Guizhou Province, China.MethodsIllumina high-throughput sequencing was used to sequence the V3–V4 region of the 16S rRNA gene from microorganisms in samples collected from these hot springs. Software such as Mothur, the SILVA ribosomal RNA database, and Quantitative Insights into Microbial Ecology (QIIME) were utilized for taxonomic and operational taxonomic unit (OTU) analysis, while PICRUST2 was employed for functional predictions.ResultsGuizhou Baili Rhododendron Hot Spring No.1 (BLDJA) had the highest diversity in terms of species richness, while Jianhe Hot Spring (YAS) had the lowest diversity. At the phylum level, the highest reported phyla included Pseudomonadota, Bacillota, Nitrospirota, Bacteroidota, and Actinomycetota, where Pseudomonadota had the highest abundance (92.094%) in Jianhe Hot Spring (YAS) and the lowest (41.238%) in Guizhou Baili Rhododendron Hot Spring No. 2 (BLDJB). Bacillota has the highest abundance (39.178%) in Guizhou Baili Rhododendron Hot Spring No. 2 (BLDJB) and the lowest (0.547%) in Jiutian Hot Spring (SNJT). The highest predicted functions were observed for amino acid metabolism, followed by carbohydrates. Predicted pathways for secondary metabolite and vitamin synthesis, along with stress-adaptation genes, underscore the biotechnological value of these habitats.DiscussionThis study presents a preliminary survey of 11 hot springs in Guizhou Province, providing important insights into the origin and evolution of microorganisms. Furthermore, studying these microorganisms is crucial for understanding the adaptive mechanisms of life under extreme conditions, such as high temperatures, and for exploring the potential biotechnological applications of these microbes. An in-depth approach combining functional metagenomics and next-generation culturomics is required to fully understand the microbial flora and its potential biotechnological applications.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1615879/fullthermophilic microorganismextremophilic diversityhot springsmicrobial functional predictionGuizhou ProvinceChina |
| spellingShingle | Feng Chen Min Cheng Dongyun Rong Yanyan Wang Yanyan Wang Rubing Liang Muhammad Irfan Yingqian Kang Yu Cao Yu Cao Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China Frontiers in Microbiology thermophilic microorganism extremophilic diversity hot springs microbial functional prediction Guizhou Province China |
| title | Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China |
| title_full | Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China |
| title_fullStr | Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China |
| title_full_unstemmed | Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China |
| title_short | Metagenomic insights into the microbial communities and functional traits of hot springs in Guizhou Province, China |
| title_sort | metagenomic insights into the microbial communities and functional traits of hot springs in guizhou province china |
| topic | thermophilic microorganism extremophilic diversity hot springs microbial functional prediction Guizhou Province China |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1615879/full |
| work_keys_str_mv | AT fengchen metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT mincheng metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT dongyunrong metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT yanyanwang metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT yanyanwang metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT rubingliang metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT muhammadirfan metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT yingqiankang metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT yucao metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina AT yucao metagenomicinsightsintothemicrobialcommunitiesandfunctionaltraitsofhotspringsinguizhouprovincechina |