» Articles » PMID: 34026031

High-throughput Sequencing Outperforms Traditional Morphological Methods in Blue Catfish Diet Analysis and Reveals Novel Insights into Diet Ecology

Overview
Journal Ecol Evol
Date 2021 May 24
PMID 34026031
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Blue Catfish are an invasive, yet economically important species in the Chesapeake Bay. However, their impact on the trophic ecology of this system is not well understood. In order to provide in-depth analysis of predation by Blue Catfish, we identified prey items using high-throughput DNA sequencing (HTS) of entire gastrointestinal tracts from 134 samples using two genetic markers, mitochondrial cytochrome c oxidase I (COI) and the nuclear 18S ribosomal RNA gene. We compared our HTS results to a more traditional "hybrid" approach that coupled morphological identification with DNA barcoding. The hybrid study was conducted on additional Blue Catfish samples ( = 617 stomachs) collected from the same location and season in the previous year. Taxonomic representation with HTS vastly surpassed that achieved with the hybrid methodology in Blue Catfish. Significantly, our HTS study identified several instances of at-risk and invasive species consumption not identified using the hybrid method, supporting the hypothesis that previous studies using morphological methods may greatly underestimate consumption of critical species. Finally, we report the novel finding that Blue Catfish diet diversity inversely correlates to daily flow rates, perhaps due to higher mobility and prey-seeking behaviors exhibited during lower flow.

Citing Articles

High-throughput sequencing and fatty acid profile analyses of the Black Amur bream () reveal variation in dietary niche associated with geographic segregation.

Liu Y, Li X, Chen W, Feng G, Chen F, Li J Ecol Evol. 2024; 14(4):e11226.

PMID: 38628924 PMC: 11019299. DOI: 10.1002/ece3.11226.


The gender-specific impact of starvation on mitotypes diversity in adults of .

Wang T, Li T, Miao Y, Wu L, Chen Y, Huang D Open Biol. 2022; 12(9):220108.

PMID: 36167086 PMC: 9514890. DOI: 10.1098/rsob.220108.


High-throughput sequencing outperforms traditional morphological methods in Blue Catfish diet analysis and reveals novel insights into diet ecology.

Evans H, Bunch A, Schmitt J, Hoogakker F, Carlson K Ecol Evol. 2021; 11(10):5584-5597.

PMID: 34026031 PMC: 8131796. DOI: 10.1002/ece3.7460.

References
1.
Carreon-Martinez L, Johnson T, Ludsin S, Heath D . Utilization of stomach content DNA to determine diet diversity in piscivorous fishes. J Fish Biol. 2011; 78(4):1170-82. DOI: 10.1111/j.1095-8649.2011.02925.x. View

2.
Holman L, de Bruyn M, Creer S, Carvalho G, Robidart J, Rius M . Detection of introduced and resident marine species using environmental DNA metabarcoding of sediment and water. Sci Rep. 2019; 9(1):11559. PMC: 6689084. DOI: 10.1038/s41598-019-47899-7. View

3.
Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S . DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3. PMC: 4927377. DOI: 10.1038/nmeth.3869. View

4.
Tedesco P, Bigorne R, Bogan A, Giam X, Jezequel C, Hugueny B . Estimating how many undescribed species have gone extinct. Conserv Biol. 2014; 28(5):1360-70. DOI: 10.1111/cobi.12285. View

5.
Gunther B, Knebelsberger T, Neumann H, Laakmann S, Arbizu P . Metabarcoding of marine environmental DNA based on mitochondrial and nuclear genes. Sci Rep. 2018; 8(1):14822. PMC: 6172225. DOI: 10.1038/s41598-018-32917-x. View