<i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity
Despite their enormous impact on the environment and humans, the distribution and variety of the biggest natural secondary metabolite producers, the genus <i>Streptomyces</i>, have not been adequately investigated. We developed representative maps from public EMP 16S rRNA amplicon sequen...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/14/1/11 |
| _version_ | 1797343175726071808 |
|---|---|
| author | Nuttapon Pombubpa Chayaporn Lakmuang Pornnapat Tiwong Chompoonik Kanchanabanca |
| author_facet | Nuttapon Pombubpa Chayaporn Lakmuang Pornnapat Tiwong Chompoonik Kanchanabanca |
| author_sort | Nuttapon Pombubpa |
| collection | DOAJ |
| description | Despite their enormous impact on the environment and humans, the distribution and variety of the biggest natural secondary metabolite producers, the genus <i>Streptomyces</i>, have not been adequately investigated. We developed representative maps from public EMP 16S rRNA amplicon sequences microbiomics data. <i>Streptomyces</i> ASVs were extracted from the EMP overall bacterial community, demonstrating <i>Streptomyces</i> diversity and identifying crucial diversity patterns. Our findings revealed that while the EMP primarily distinguished bacterial communities as host-associated or free-living (EMPO level 1), the <i>Streptomyces</i> community showed no significant difference but exhibited distinctions between categories in EMPO level 2 (animal, plant, non-saline, and saline). Multiple linear regression analysis demonstrated that pH, temperature, and salinity significantly predicted <i>Streptomyces</i> richness, with richness decreasing as these factors increased. However, latitude and longitude do not predict <i>Streptomyces</i> richness. Our <i>Streptomyces</i> maps revealed that additional samplings in Africa and Southeast Asia are needed. Additionally, our findings indicated that a greater number of samples did not always result in greater <i>Streptomyces</i> richness; future surveys may not necessitate extensive sampling from a single location. Broader sampling, rather than local/regional sampling, may be more critical in answering microbial biogeograph questions. Lastly, using 16S rRNA gene sequencing data has some limitations, which should be interpreted cautiously. |
| first_indexed | 2024-03-08T10:43:58Z |
| format | Article |
| id | doaj.art-08fc6c01f3474a169e9efa2b1c615b2a |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-08T10:43:58Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-08fc6c01f3474a169e9efa2b1c615b2a2024-01-26T17:20:22ZengMDPI AGLife2075-17292023-12-011411110.3390/life14010011<i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial DiversityNuttapon Pombubpa0Chayaporn Lakmuang1Pornnapat Tiwong2Chompoonik Kanchanabanca3Department of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, ThailandDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, ThailandDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, ThailandDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, ThailandDespite their enormous impact on the environment and humans, the distribution and variety of the biggest natural secondary metabolite producers, the genus <i>Streptomyces</i>, have not been adequately investigated. We developed representative maps from public EMP 16S rRNA amplicon sequences microbiomics data. <i>Streptomyces</i> ASVs were extracted from the EMP overall bacterial community, demonstrating <i>Streptomyces</i> diversity and identifying crucial diversity patterns. Our findings revealed that while the EMP primarily distinguished bacterial communities as host-associated or free-living (EMPO level 1), the <i>Streptomyces</i> community showed no significant difference but exhibited distinctions between categories in EMPO level 2 (animal, plant, non-saline, and saline). Multiple linear regression analysis demonstrated that pH, temperature, and salinity significantly predicted <i>Streptomyces</i> richness, with richness decreasing as these factors increased. However, latitude and longitude do not predict <i>Streptomyces</i> richness. Our <i>Streptomyces</i> maps revealed that additional samplings in Africa and Southeast Asia are needed. Additionally, our findings indicated that a greater number of samples did not always result in greater <i>Streptomyces</i> richness; future surveys may not necessitate extensive sampling from a single location. Broader sampling, rather than local/regional sampling, may be more critical in answering microbial biogeograph questions. Lastly, using 16S rRNA gene sequencing data has some limitations, which should be interpreted cautiously.https://www.mdpi.com/2075-1729/14/1/11<i>Streptomyces</i>microbial biogeography<i>Streptomyces</i> biodiversity<i>Streptomyces</i> diversity mapmicrobiomics |
| spellingShingle | Nuttapon Pombubpa Chayaporn Lakmuang Pornnapat Tiwong Chompoonik Kanchanabanca <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity Life <i>Streptomyces</i> microbial biogeography <i>Streptomyces</i> biodiversity <i>Streptomyces</i> diversity map microbiomics |
| title | <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity |
| title_full | <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity |
| title_fullStr | <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity |
| title_full_unstemmed | <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity |
| title_short | <i>Streptomyces</i> Diversity Maps Reveal Distinct High-Specificity Biogeographical and Environmental Patterns Compared to the Overall Bacterial Diversity |
| title_sort | i streptomyces i diversity maps reveal distinct high specificity biogeographical and environmental patterns compared to the overall bacterial diversity |
| topic | <i>Streptomyces</i> microbial biogeography <i>Streptomyces</i> biodiversity <i>Streptomyces</i> diversity map microbiomics |
| url | https://www.mdpi.com/2075-1729/14/1/11 |
| work_keys_str_mv | AT nuttaponpombubpa istreptomycesidiversitymapsrevealdistincthighspecificitybiogeographicalandenvironmentalpatternscomparedtotheoverallbacterialdiversity AT chayapornlakmuang istreptomycesidiversitymapsrevealdistincthighspecificitybiogeographicalandenvironmentalpatternscomparedtotheoverallbacterialdiversity AT pornnapattiwong istreptomycesidiversitymapsrevealdistincthighspecificitybiogeographicalandenvironmentalpatternscomparedtotheoverallbacterialdiversity AT chompoonikkanchanabanca istreptomycesidiversitymapsrevealdistincthighspecificitybiogeographicalandenvironmentalpatternscomparedtotheoverallbacterialdiversity |