2019
DOI: 10.1371/journal.pone.0215505
|View full text |Cite
|
Sign up to set email alerts
|

Using eDNA to biomonitor the fish community in a tropical oligotrophic lake

Abstract: Environmental DNA (eDNA) is an effective approach for detecting vertebrates and plants, especially in aquatic ecosystems, but prior studies have largely examined eDNA in cool temperate settings. By contrast, this study employs eDNA to survey the fish fauna in tropical Lake Bacalar (Mexico) with the additional goal of assessing the possible presence of invasive fishes, such as Amazon sailfin catfish and tilapia. Sediment and water samples were collected from eight stations in Lake Bacalar on three occasions ove… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
44
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 54 publications
(45 citation statements)
references
References 72 publications
1
44
0
Order By: Relevance
“…This is likely because most invasions have been documented in temperate regions (particularly North America, Europe, and Australia), and less so in tropical Asia and Africa [ 83 ]. Thus, many biological invasions in the tropics may have been overlooked and gone undocumented as suggested by recent detections of potentially invasive species in tropical lentic ecosystems (e.g., [ 102 , 103 ]) using eDNA techniques, which have so far been more widely employed in temperate freshwater habitats [ 104 ]. Considering the importance of climate match, the effects of such geographical bias would be especially pronounced for tropical species.…”
Section: Discussionmentioning
confidence: 99%
“…This is likely because most invasions have been documented in temperate regions (particularly North America, Europe, and Australia), and less so in tropical Asia and Africa [ 83 ]. Thus, many biological invasions in the tropics may have been overlooked and gone undocumented as suggested by recent detections of potentially invasive species in tropical lentic ecosystems (e.g., [ 102 , 103 ]) using eDNA techniques, which have so far been more widely employed in temperate freshwater habitats [ 104 ]. Considering the importance of climate match, the effects of such geographical bias would be especially pronounced for tropical species.…”
Section: Discussionmentioning
confidence: 99%
“…Environmental DNA metabarcoding has been hailed as a promising tool for biodiversity assessment and monitoring worldwide, in both marine and freshwater ecosystems (Bohmann et al, 2014; Boussarie et al, 2018; Deiner et al, 2017; Hänfling et al, 2016; Pont et al, 2018; Thomsen & Willerslev, 2015). This method relies on obtaining the DNA shed by organisms in the surrounding environment (e.g., water, soil), amplifying it with primers targeting the taxonomic spectrum of interest, and high‐throughput sequencing it to reconstruct community composition (Bohmann et al, 2014; Handley et al, 2018; Valdez‐Moreno et al, 2018; Valentini et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The following bioinformatics workflow was used to process NGS data: Cutadapt (v1.8.1) was used to trim primer sequences; Sickle (v1.33) was used for filtering (less than 200 bp were discarded) and Uclust (v1.2.22q) was used to cluster OTUs with 99% identity and minimum read depth of 10. Local BLAST 2.2.29+ algorithm was utilized to match resulting OTUs to custom reference library database for 16S generated from available BOLD records DS-ECCSTAGE dataset in BOLD; BLAST output results were parsed using custom built python script [51] OTUBLASTParser.py (available at https://gitlab.com/biodiversity/OTUExtractorFromBLASToutput): with the following 16S Identity Filter (Species 99%, Genus 97%, Family 95%, Order 90%); matches were concatenated using custom script ConcatenatorResults.py (available at https://gitlab.com/biodiversity/OTUExtractorFromBLASToutput), exported to Excel, and further processed in Tableau software 10.2 (min coverage 10).…”
Section: Methodsmentioning
confidence: 99%