IOCAS-IR  > 海洋生物分类与系统演化实验室
DNA metabarcoding reveals ecological patterns and driving mechanisms of archaeal, bacterial, and eukaryotic communities in sediments of the Sansha Yongle Blue Hole
Li, Qingxia1,5; Lei, Yanli1,3,4,6; Li, Tiegang2
2024-03-21
发表期刊SCIENTIFIC REPORTS
ISSN2045-2322
卷号14期号:1页码:13
通讯作者Lei, Yanli(leiyanli@qdio.ac.cn) ; Li, Tiegang(tgli@fio.org.cn)
摘要The Sansha Yongle Blue Hole (SYBH) is the world's deepest marine blue hole with unique physicochemical characteristics. However, our knowledge of the biodiversity and community structure in SYBH sediments remains limited, as past studies have mostly focused on microbial communities in the water column. Here, we collected sediment samples from the aerobic zone (3.1 to 38.6 m) and the deep anaerobic zone (150 m, 300 m) of the SYBH and extracted DNA to characterize the archaeal, bacterial, and eukaryotic communities inhabiting these sediments. Our results showed that the archaeal and bacterial communities were dominated by Thaumarchaeota and Proteobacteria, respectively. The dominant taxa of eukaryotes in different sites varied greatly, mainly including Phaeophyceae, Annelida, Diatomea and Arthropoda. All three examined domains showed clear vertical distributions and significant differences in community composition between the aerobic and anaerobic zones. Sulfide played a prominent role in structuring the three domains, followed by salinity, nitrous oxide, pH, temperature and dissolved oxygen, all of which were positively correlated with the turnover component, the main contributor to beta diversity. Neutral community model revealed that stochastic processes contributed to more than half of the community variations across the three domains. Co-occurrence network showed an equal number of positive and negative interactions in the archaeal network, while positive interactions accounted for similar to 80% in the bacterial and eukaryotic networks. Our findings reveal the ecological features of prokaryotes and eukaryotes in SYBH sediments and shed new light on community dynamics and survival strategies in the special environment of marine blue holes.
DOI10.1038/s41598-024-57214-8
收录类别SCI
语种英语
资助项目the Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000] ; the Strategic Priority Research Program of the Chinese Academy of Sciences[LSKJ202204200] ; Strategic Priority Research Program of the Chinese Academy of Sciences[2022YFC2803800] ; National Key R&D Program of China
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:001192164500005
出版者NATURE PORTFOLIO
WOS关键词BIOTIC INTERACTIONS ; DIVERSITY
引用统计
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/185092
专题海洋生物分类与系统演化实验室
通讯作者Lei, Yanli; Li, Tiegang
作者单位1.Chinese Acad Sci, Inst Oceanol, Lab Marine Organism Taxon & Phylogeny, Qingdao Key Lab Marine Biodivers & Conservat, Qingdao 266071, Peoples R China
2.Minist Nat Resources, Inst Oceanog 1, Key Lab Marine Sedimentol & Environm Geol, Qingdao 266061, Peoples R China
3.Qingdao Marine Sci & Technol Ctr, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China
4.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
5.Dalian Ocean Univ, Ctr Marine Ranching Engn Sci Res Liaoning, Dalian 116023, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
第一作者单位中国科学院海洋研究所
通讯作者单位中国科学院海洋研究所
推荐引用方式
GB/T 7714
Li, Qingxia,Lei, Yanli,Li, Tiegang. DNA metabarcoding reveals ecological patterns and driving mechanisms of archaeal, bacterial, and eukaryotic communities in sediments of the Sansha Yongle Blue Hole[J]. SCIENTIFIC REPORTS,2024,14(1):13.
APA Li, Qingxia,Lei, Yanli,&Li, Tiegang.(2024).DNA metabarcoding reveals ecological patterns and driving mechanisms of archaeal, bacterial, and eukaryotic communities in sediments of the Sansha Yongle Blue Hole.SCIENTIFIC REPORTS,14(1),13.
MLA Li, Qingxia,et al."DNA metabarcoding reveals ecological patterns and driving mechanisms of archaeal, bacterial, and eukaryotic communities in sediments of the Sansha Yongle Blue Hole".SCIENTIFIC REPORTS 14.1(2024):13.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Qingxia]的文章
[Lei, Yanli]的文章
[Li, Tiegang]的文章
百度学术
百度学术中相似的文章
[Li, Qingxia]的文章
[Lei, Yanli]的文章
[Li, Tiegang]的文章
必应学术
必应学术中相似的文章
[Li, Qingxia]的文章
[Lei, Yanli]的文章
[Li, Tiegang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。