Liangzhi Li, Yina Zhu, Feng Wu, Yuxin Shen, Yi Wang, Juan Höfer, Marina Pozzolini, Mingke Wang, Liang Xiao, Xiaojie Dai
{"title":"基于 16S rRNA 测序的五种水母物种相关微生物多样性及潜在病原体和有益菌筛选。","authors":"Liangzhi Li, Yina Zhu, Feng Wu, Yuxin Shen, Yi Wang, Juan Höfer, Marina Pozzolini, Mingke Wang, Liang Xiao, Xiaojie Dai","doi":"10.33073/pjm-2024-026","DOIUrl":null,"url":null,"abstract":"<p><p>Jellyfish, microorganisms, and the marine environment collectively shape a complex ecosystem. This study aimed to analyze the microbial communities associated with five jellyfish species, exploring their composition, diversity, and relationships. Microbial diversity among the species was assessed using 16S rRNA gene sequencing and QIIME analysis. Significant differences in bacterial composition were found, with distinct dominant taxa in each species: <i>Mycoplasmataceae</i> (99.21%) in <i>Aurelia coerulea</i>, <i>Sphingomonadaceae</i> (22.81%) in <i>Cassiopea andromeda</i>, <i>Alphaproteobacteria</i>_unclassified (family level) (64.09%) in <i>Chrysaora quinquecirrha</i>, <i>Parcubacteria</i>_unclassified (family level) (93.11%) in <i>Phacellophora camtschatica</i>, and <i>Chlamydiaceae</i> (35.05%) and <i>Alphaproteobacteria</i>_unclassified (family level) (38.73%) in <i>Rhopilema esculentum</i>. <i>C. andromeda</i> showed the highest diversity, while <i>A. coerulea</i> exhibited the lowest. Correlations among dominant genera varied, including a positive correlation between <i>Parcubacteria</i>_unclassified (genus level) and <i>Chlamydiaceae_</i>unclassified (genus level). Genes were enriched in metabolic pathways and ABC transporters. The most abundant potential pathogens at the phylum level were Proteobacteria, Tenericutes, Chlamydiae, and Epsilonbacteraeota. The differing microbial compositions are likely influenced by species and their habitats. Interactions between jellyfish and microorganisms, as well as among microorganisms, showed interdependency or antagonism. Most microbial gene functions focused on metabolic pathways, warranting further study on the relationship between pathogenic bacteria and these pathways.</p>","PeriodicalId":94173,"journal":{"name":"Polish journal of microbiology","volume":" ","pages":"297-314"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11398266/pdf/","citationCount":"0","resultStr":"{\"title\":\"Microbial Diversity and Screening for Potential Pathogens and Beneficial Bacteria of Five Jellyfish Species-Associated Microorganisms Based on 16S rRNA Sequencing.\",\"authors\":\"Liangzhi Li, Yina Zhu, Feng Wu, Yuxin Shen, Yi Wang, Juan Höfer, Marina Pozzolini, Mingke Wang, Liang Xiao, Xiaojie Dai\",\"doi\":\"10.33073/pjm-2024-026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Jellyfish, microorganisms, and the marine environment collectively shape a complex ecosystem. This study aimed to analyze the microbial communities associated with five jellyfish species, exploring their composition, diversity, and relationships. Microbial diversity among the species was assessed using 16S rRNA gene sequencing and QIIME analysis. Significant differences in bacterial composition were found, with distinct dominant taxa in each species: <i>Mycoplasmataceae</i> (99.21%) in <i>Aurelia coerulea</i>, <i>Sphingomonadaceae</i> (22.81%) in <i>Cassiopea andromeda</i>, <i>Alphaproteobacteria</i>_unclassified (family level) (64.09%) in <i>Chrysaora quinquecirrha</i>, <i>Parcubacteria</i>_unclassified (family level) (93.11%) in <i>Phacellophora camtschatica</i>, and <i>Chlamydiaceae</i> (35.05%) and <i>Alphaproteobacteria</i>_unclassified (family level) (38.73%) in <i>Rhopilema esculentum</i>. <i>C. andromeda</i> showed the highest diversity, while <i>A. coerulea</i> exhibited the lowest. Correlations among dominant genera varied, including a positive correlation between <i>Parcubacteria</i>_unclassified (genus level) and <i>Chlamydiaceae_</i>unclassified (genus level). Genes were enriched in metabolic pathways and ABC transporters. The most abundant potential pathogens at the phylum level were Proteobacteria, Tenericutes, Chlamydiae, and Epsilonbacteraeota. The differing microbial compositions are likely influenced by species and their habitats. Interactions between jellyfish and microorganisms, as well as among microorganisms, showed interdependency or antagonism. Most microbial gene functions focused on metabolic pathways, warranting further study on the relationship between pathogenic bacteria and these pathways.</p>\",\"PeriodicalId\":94173,\"journal\":{\"name\":\"Polish journal of microbiology\",\"volume\":\" \",\"pages\":\"297-314\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11398266/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polish journal of microbiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33073/pjm-2024-026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish journal of microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33073/pjm-2024-026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microbial Diversity and Screening for Potential Pathogens and Beneficial Bacteria of Five Jellyfish Species-Associated Microorganisms Based on 16S rRNA Sequencing.
Jellyfish, microorganisms, and the marine environment collectively shape a complex ecosystem. This study aimed to analyze the microbial communities associated with five jellyfish species, exploring their composition, diversity, and relationships. Microbial diversity among the species was assessed using 16S rRNA gene sequencing and QIIME analysis. Significant differences in bacterial composition were found, with distinct dominant taxa in each species: Mycoplasmataceae (99.21%) in Aurelia coerulea, Sphingomonadaceae (22.81%) in Cassiopea andromeda, Alphaproteobacteria_unclassified (family level) (64.09%) in Chrysaora quinquecirrha, Parcubacteria_unclassified (family level) (93.11%) in Phacellophora camtschatica, and Chlamydiaceae (35.05%) and Alphaproteobacteria_unclassified (family level) (38.73%) in Rhopilema esculentum. C. andromeda showed the highest diversity, while A. coerulea exhibited the lowest. Correlations among dominant genera varied, including a positive correlation between Parcubacteria_unclassified (genus level) and Chlamydiaceae_unclassified (genus level). Genes were enriched in metabolic pathways and ABC transporters. The most abundant potential pathogens at the phylum level were Proteobacteria, Tenericutes, Chlamydiae, and Epsilonbacteraeota. The differing microbial compositions are likely influenced by species and their habitats. Interactions between jellyfish and microorganisms, as well as among microorganisms, showed interdependency or antagonism. Most microbial gene functions focused on metabolic pathways, warranting further study on the relationship between pathogenic bacteria and these pathways.