Advances in molecular ecology: tracking trophic links through predator–prey food‐webs

By S. Sheppard, J. Harwood. 2005

371 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/da4f705e146accda4bcede255c9b2c1aada7c0d1

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In Genetics

In Insect Science

Citations in the corpus

Current progress in DNA barcoding and future implications for entomology (2011, methodology): “Smith et al. (2006) evaluated the feasibility of using DNA barcodes for studying parasitoid insects.”
A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents (2013, background): “larval stages in plankton tows [2]) or partially digested organisms in gut or faecal contents [3]), making it difficult to identify species within a reasonable timeframe and with sufficient accuracy [4].”
Use of DNA metabarcoding for stomach content analysis in the invasive lionfish Pterois volitans in Puerto Rico (2016, background): “Aside from observing this predator−prey interaction in situ, predation can also be documented using visual inspection or, more recently, DNA barcoding to assess biodiversity in diet from gut contents or feces (Sheppard & Harwood 2005).”
Ecological genetics of invasive alien species (2011, methodology): “So far, molecular studies that have attempted to investigate the strength and structure of predator–prey and parasite-host interactions, within a commu-nity context, have primarily used standard PCR (e.g. Symondson 2002; Harper et al. 2005; Sheppard and Harwood 2005).”
DNA metabarcoding in diet studies: Unveiling ecological aspects in aquatic and terrestrial ecosystems (2019, background): “…PTDC/ MAR‐BIO/0902/2014‐POCI‐01‐0145‐ FEDER‐016550; K E Y W O R D S dietary DNA, dietary sampling, environmental DNA, food webs, high‐throughput sequencing, trophic niche identifications relies on portions of undigested prey items and on considerable taxonomic expertise (Sheppard & Harwood, 2005).”
Reconstructing hyperdiverse food webs: Gut content metabarcoding as a tool to disentangle trophic interactions on coral reefs (2019, methodology): “With the molecular toolbox provided by metabarcoding, we were able to pinpoint detailed trophic information that considerably improves traditional, broad‐scale trophic assignments (Sheppard & Harwood, 2005).”
Prey preference of the common vampire bat (Desmodus rotundus, Chiroptera) using molecular analysis (2015, background): “Detailed analyses of dietary habits of vertebrates are fundamental to answer questions on trophic interactions, how predators and prey interact, and how prey availability affects predator density and distribution (Sheppard and Harwood 2005).”
Quantitative PCR to estimate copepod feeding (2008, positive): “A promising strategy for assessing feeding in small invertebrates is the use of prey-speciWc nucleic acid molecules as biomarkers of trophic interactions (Sheppard and Harwood 2005).”
Who is eating what: diet assessment using next generation sequencing (2012, methodology): “The application of DNA-based techniques has improved our ability to determine diets, and the range of DNA-based approaches used has been extensively considered elsewhere (Symondson 2002; Sheppard & Harwood 2005; Sunderland et al. 2005; Gariépy et al. 2007; King et al. 2008a).”
Molecular identification methods of fish species: reassessment and possible applications (2009, positive): “Consequently, numerous invasive and noninvasive methods have been developed to characterize predator-prey interactions, among which molecular methods (reviewed in Sheppard and Harwood 2005; King et al. 2008).”
Choosing natural enemies for conservation biological control: use of the prey detectability half‐life to rank key predators of Colorado potato beetle (2010, background): “…molecular gut-content analysis: serology, with monoclonal antibody-based assays predominating (Greenstone, 1996; Harwood et al., 2004), and polymerase chain reaction (PCR)-amplification of prey deoxyribonucleic acid (DNA) sequences (Symondson, 2002; Sheppard & Harwood, 2005; Gariepy et al., 2007).”