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• W1907561617 abstract "A major challenge facing biodiversity conservation and management is that a significant portion of species diversity remains undiscovered or undescribed. This is particularly evident in subterranean animals in which species delimitation based on morphology is difficult because differentiation is often obscured by phenotypic convergence. Multilocus genetic data constitute a valuable source of information for species delimitation in such organisms, but until recently, few methods were available to objectively test species delimitation hypotheses using genetic data. Here, we use recently developed methods for discovering and testing species boundaries and relationships using a multilocus dataset in a widely distributed subterranean teleost fish, Typhlichthys subterraneus, endemic to Eastern North America. We provide evidence that species diversity in T. subterraneus is currently underestimated and that the picture of a single, widely distributed species is not supported. Rather, several morphologically cryptic lineages comprise the diversity in this clade, including support for the recognition of T. eigenmanni. The high number of cryptic species in Typhlichthys highlights the utility of multilocus genetic data in delimiting species, particularly in lineages that exhibit slight morphological disparity, such as subterranean organisms. However, results depend on sampling of individuals and loci; this issue needs further study." @default.
• W1907561617 created "2016-06-24" @default.
• W1907561617 creator A5062330412 @default.
• W1907561617 creator A5087239266 @default.
• W1907561617 creator A5088952270 @default.
• W1907561617 date "2011-11-01" @default.
• W1907561617 modified "2023-10-07" @default.
• W1907561617 title "DELIMITING SPECIES USING MULTILOCUS DATA: DIAGNOSING CRYPTIC DIVERSITY IN THE SOUTHERN CAVEFISH,<i>TYPHLICHTHYS SUBTERRANEUS</i>(TELEOSTEI: AMBLYOPSIDAE)" @default.
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• W1907561617 doi "https://doi.org/10.1111/j.1558-5646.2011.01480.x" @default.
• W1907561617 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22380444" @default.
• W1907561617 hasPublicationYear "2011" @default.
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