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Giant tree frogs exemplify the promise of integrating multiple types of data in phylogeographic investigations.
Carstens, Bryan C; Moshier, Shelby P.
Affiliation
  • Carstens BC; Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.
  • Moshier SP; Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.
Mol Ecol ; 2022 Jul 02.
Article in En | MEDLINE | ID: mdl-35779007
Hugall et al. (2022) is one of the seminal publications from the single locus era of phylogeographic research. These authors were among the first to argue that genetic data are ideally suited to test hypotheses that are ultimately derived from other sources of information. While the testing of predictions from the fossil record has long been important to molecular systematics (e.g., Donoghue et al., 1989), phylogeographic investigations into the more recent evolutionary past lack a fossil record in most focal taxa. In lieu of fossils, which were not available for the small snails that served as the focal taxon, Hugall et al. (2002) applied the (then) new technique of environmental modelling to identify regions within the species range with habitat that was predicted to be stable throughout the Holocene. They then present data that suggests that these regions correspond to the areas with high genetic diversity. Apart from the inferences about snail evolutionary history, the core argument of Hugall et al. (2002) is that consilience (i.e., agreement between inferences drawn from different sources of data) is an important goal for phylogeographic investigation. Consilience in the inferences drawn from independent types of data has a multiplicative effect; when present the researcher is likely to have more confidence in their inference than would be possible to have in an inference from any one source of data. The manuscript by Jaynes et al. (2022) is a splendid illustration of this principle.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mol Ecol Journal subject: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mol Ecol Journal subject: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Year: 2022 Type: Article Affiliation country: United States