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Testing small‐scale ecological gradients and intraspecific differentiation for hundreds of kelp forest species using haplotypes from metabarcoding
Author(s) -
Shum Peter,
Palumbi Stephen R.
Publication year - 2021
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.15851
Subject(s) - biology , ecology , biological dispersal , population , kelp forest , abundance (ecology) , genetic diversity , habitat , demography , sociology
DNA metabarcoding has been increasingly used to detail distributions of hundreds of species. Most analyses focus on creating molecular operational taxonomic units (MOTUs) from complex mixtures of DNA sequences, but much less common is use of the sequence diversity within these MOTUs. Here we use the diversity of COI haplotypes within MOTUs from a California kelp forest to infer patterns of population abundance, dispersal and population history from 527 species of animals and algae from 106 samples of benthic habitats in Monterey Bay. Using haplotypes as a unit we show fine‐grained differences of abundance across locations for 15 species, and marked aggregation from sample to sample for most of the common species of plants and animals. Previous analyses could not distinguish these patterns from artefacts of amplification or sequence bias. Our haplotype data also reveal strong population genetic differentiation over small spatial scales for 48 species of red algae, sponges and Bryozoa. Last, phylogenetic analysis of mismatch frequencies among haplotypes show a wide variety of demographic histories from recent expansions to long, stable population sizes. These analyses show that abundant, small‐bodied marine species that are often overlooked in ecological surveys can have strikingly different patterns of ecological and genetic structure leading to population, ecological and perhaps adaptive differences between habitats. MOTU diversity data from the same sequencing efforts that generate species‐level analyses can greatly increase the scope and value of metabarcoding studies.