Asset Details
Do you wish to reserve the book?
Using eDNA tools to examine the impact of kelp farming on underlying sediments
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Using eDNA tools to examine the impact of kelp farming on underlying sediments
Do you wish to request the book?
Using eDNA tools to examine the impact of kelp farming on underlying sediments
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Using eDNA tools to examine the impact of kelp farming on underlying sediments
2025
Overview
Using environmental DNA (eDNA)-based tools, we examined sediments underlying a ~ 1.25 hectare commercial kelp farm in the Gulf of Maine growing sugar kelp ( Saccharina latissima ) for two farming seasons, post-harvest. Two eDNA methods were used: a newly designed S. latissima -specific digital polymerase chain reaction (dPCR) assay targeting the cytochrome oxidase subunit I (COI) mitochondrial gene, as well as metabarcoding for the 16S and 18S ribosomal RNA (rRNA) genes, to examine overall bacterial, archaeal, and eukaryotic diversity. Sediment carbon and nitrogen content was analyzed using isotope ratio mass spectrometry (IRMS) as more traditional indicators of potential kelp biomass-derived nutrient enrichment in the benthos. When targeted sampling sites were added inside the footprint of the farm lease area in year two of the study, dPCR data showed subtle but significant differences between sediment samples inside and outside of the farm, with mean S. latissima COI gene copies from cores taken inside the farm being ~8% greater than mean values outside the farm. The highest COI copy numbers in marine sediments were from sites with observed accumulation of kelp biomass, while there was no conclusive difference in carbon and nitrogen content of those same sediment samples. Metabarcoding data also revealed subtle differences in taxa associated with sediments inside and outside the farm. For example, microbial taxa that correlated with kelp eDNA from cores within the farm included the families Rhodothermaceae, Rubritaleaceae, Flavobacteriaceae, Prolixibacteraceae, Nitrosomonadaceae, Nitrincolaceae and Rubinisphaeraceae . However, the majority of the above taxa were low in relative abundance, with only Flavobacteriaceae ranking among the top 30 most abundant and prevalent families in these sediments. In summary, this study demonstrates the sensitivity and specificity of eDNA tools to detect potential ecological and anthropogenic effects in marine sediments, beyond that of bulk nutrient and stable isotope analyses.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Benthos
/ Biomass
/ Carbon
/ Cores
/ DNA, Environmental - analysis
/ DNA, Environmental - genetics
/ Farming
/ Farms
/ Geologic Sediments - chemistry
/ Geologic Sediments - microbiology
/ Nitrogen
/ RNA, Ribosomal, 16S - genetics
/ RNA, Ribosomal, 18S - genetics
/ rRNA 16S
/ rRNA 18S
/ Samples
/ Taxonomy
