Plumbing the depths with environmental DNA (eDNA): Metabarcoding reveals biodiversity zonation at 45-60 m on mesophotic coral reefs

被引:5
作者
Hoban, Mykle L. [1 ]
Bunce, Michael [2 ,3 ]
Bowen, Brian W. [1 ]
机构
[1] Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA
[2] Dept Conservat, Wellington, New Zealand
[3] Curtin Univ, Trace & Environm DNA Lab, Perth, WA, Australia
基金
美国海洋和大气管理局; 美国国家科学基金会;
关键词
biogeography; deep reef refugia hypothesis; eDNA; Hawai'i marine fishes; mesophotic coral ecosystems; BETA-DIVERSITY; SHALLOW; ECOSYSTEMS; ECOLOGY; CONSERVATION; COMMUNITIES; PATTERNS; DISTINCT; REFUGIA; FISHES;
D O I
10.1111/mec.17140
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Mesophotic coral ecosystems (MCEs) are tropical reefs found at depths of similar to 30-150 m, below the region most heavily impacted by heat stress and other disturbances. Hence, MCEs may serve as potential refugia for threatened shallow reefs, but they also harbour depth-endemic fauna distinct from shallow reefs. Previous studies have characterized biodiversity patterns along depth gradients, but focussed primarily on conspicuous taxa (fishes, corals, etc.). Environmental DNA (eDNA) metabarcoding offers a more holistic approach to assess biodiversity patterns across the tree of life. Here, we use three metabarcoding assays targeting fishes (16S rRNA), eukaryotes (18S rDNA) and metazoans (COI) to assess biodiversity change from the surface to similar to 90 m depth across 15-m intervals at three sites within the Hawaiian Archipelago. We observed significant community differences between most depth zones, with distinct zonation centred at 45-60 m for eukaryotes and metazoans, but not for fishes. This finding may be attributable to the higher mobility of reef fishes, although methodological limitations are likely a contributing factor. The possibility for MCEs to serve as refugia is not excluded for fishes, but invertebrate communities >45 m are distinct, indicating limited connectivity for the majority of reef fauna. This study provides a new approach for surveying biodiversity on MCEs, revealing patterns in a much broader context than the limited-taxon studies that comprise the bulk of our present knowledge.
引用
收藏
页码:5590 / 5608
页数:19
相关论文
共 122 条
[1]   Modeling characterization of the vertical and temporal variability of environmental DNA in the mesopelagic ocean [J].
Allan, Elizabeth Andruszkiewicz ;
DiBenedetto, Michelle H. ;
Lavery, Andone C. ;
Govindarajan, Annette F. ;
Zhang, Weifeng G. .
SCIENTIFIC REPORTS, 2021, 11 (01)
[2]  
[Anonymous], 2022, vegan: Community Ecology Package
[3]   Mesophotic Depth Gradients Impact Reef Fish Assemblage Composition and Functional Group Partitioning in the Main Hawaiian Islands [J].
Asher, Jacob ;
Williams, Ivor D. ;
Harvey, Euan S. .
FRONTIERS IN MARINE SCIENCE, 2017, 4
[4]   Deep reefs are climatic refugia for genetic diversity of marine forests [J].
Assis, Jorge ;
Coelho, Nelson Castilho ;
Lamy, Thomas ;
Valero, Myriam ;
Alberto, Filipe ;
Serrao, Ester Alvares .
JOURNAL OF BIOGEOGRAPHY, 2016, 43 (04) :833-844
[5]   Still not enough taxonomists: reply to Joppa et al. [J].
Bacher, Sven .
TRENDS IN ECOLOGY & EVOLUTION, 2012, 27 (02) :65-66
[6]   Environmental Conditions Influence eDNA Persistence in Aquatic Systems [J].
Barnes, Matthew A. ;
Turner, Cameron R. ;
Jerde, Christopher L. ;
Renshaw, Mark A. ;
Chadderton, W. Lindsay ;
Lodge, David M. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (03) :1819-1827
[7]   Partitioning the turnover and nestedness components of beta diversity [J].
Baselga, Andres .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2010, 19 (01) :134-143
[8]   betapart: an R package for the study of beta diversity [J].
Baselga, Andres ;
Orme, C. David L. .
METHODS IN ECOLOGY AND EVOLUTION, 2012, 3 (05) :808-812
[9]   Global status, impacts, and management of rocky temperate mesophotic ecosystems [J].
Bell, James J. ;
Micaroni, Valerio ;
Harris, Benjamin ;
Strano, Francesca ;
Broadribb, Manon ;
Rogers, Alice .
CONSERVATION BIOLOGY, 2024, 38 (01)
[10]   ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases [J].
Bellemain, Eva ;
Carlsen, Tor ;
Brochmann, Christian ;
Coissac, Eric ;
Taberlet, Pierre ;
Kauserud, Havard .
BMC MICROBIOLOGY, 2010, 10