Environmental DNA reveals seasonal shifts and potential interactions in a marine community

被引:187
作者
Djurhuus, Anni [1 ]
Closek, Collin J. [2 ,3 ]
Kelly, Ryan P. [4 ]
Pitz, Kathleen J. [5 ]
Michisaki, Reiko P. [5 ]
Starks, Hilary A. [2 ,3 ]
Walz, Kristine R. [5 ]
Andruszkiewicz, Elizabeth A. [3 ]
Olesin, Emily [6 ]
Hubbard, Katherine [6 ]
Montes, Enrique [1 ]
Otis, Daniel [1 ]
Muller-Karger, Frank E. [1 ]
Chavez, Francisco P. [5 ]
Boehm, Alexandria B. [3 ]
Breitbart, Mya [1 ]
机构
[1] Univ S Florida, Coll Marine Sci, 140 7th Ave South, St Petersburg, FL 33701 USA
[2] Stanford Univ, Stanford Ctr Ocean Solut, 473 Via Ortega, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Civil & Environm Engn, 473 Via Ortega, Stanford, CA 94305 USA
[4] Univ Washington, Sch Marine & Environm Affairs, 3707 Brooklyn Ave, Seattle, WA 98105 USA
[5] Monterey Bay Aquarium Res Inst, 7700 Sandholdt Rd, Moss Landing, CA 95039 USA
[6] Fish & Wildlife Res Inst, Florida Fish & Wildlife Res Conservat, 100 8th Ave SE, St Petersburg, FL 33701 USA
关键词
BIODIVERSITY; FRAMEWORK; NETWORKS; VARIABILITY; CALIFORNIA; PATTERNS; CLIMATE;
D O I
10.1038/s41467-019-14105-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Environmental DNA (eDNA) analysis allows the simultaneous examination of organisms across multiple trophic levels and domains of life, providing critical information about the complex biotic interactions related to ecosystem change. Here we used multilocus amplicon sequencing of eDNA to survey biodiversity from an eighteen-month (2015-2016) time-series of seawater samples from Monterey Bay, California. The resulting dataset encompasses 663 taxonomic groups (at Family or higher taxonomic rank) ranging from microorganisms to mammals. We inferred changes in the composition of communities, revealing putative interactions among taxa and identifying correlations between these communities and environmental properties over time. Community network analysis provided evidence of expected predator-prey relationships, trophic linkages, and seasonal shifts across all domains of life. We conclude that eDNA-based analyses can provide detailed information about marine ecosystem dynamics and identify sensitive biological indicators that can suggest ecosystem changes and inform conservation strategies. Increasingly, eDNA is being used to infer ecological interactions. Here the authors sample eDNA over 18 months in a marine environment and use co-occurrence network analyses to infer potential interactions among organisms from microbes to mammals, testing how they change over time in response to oceanographic factors.
引用
收藏
页数:9
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