JOURNAL ARTICLE
Pleistocene climatic oscillations influenced the emergence of geographically widespread and restricted genetic lineages in an Andean grasshopper species group.
Published In: Biological Journal of the Linnean Society, 2024, v. 143, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Guzmán, Noelia V; Gandini, Luciano M; Castillo, Elio R; Fernandez Campón, Florencia; Cigliano, Maria Marta; Confalonieri, Viviana A 3 of 3
Abstract
The article focuses on the genetic diversification and environmental niche differentiation within the Trimerotropis pallidipennis species complex, a group of Andean grasshoppers distributed across South America. Using mitochondrial COI sequences, thousands of single nucleotide polymorphisms (SNPs), and ecological niche modeling, the study identifies at least five genetic lineages—three widely distributed and two geographically restricted—whose diversification was influenced by Pleistocene climatic oscillations and glacial refugia along the Andes. Notably, one lineage, referred to as Trimerotropis sp., exhibits chromosomal inversion polymorphisms associated with adaptation to more temperate habitats and a distinct ecological niche compared to sister lineages T. andeana and T. ochraceipennis. The findings suggest that historical climatic changes and geographic isolation shaped the evolutionary history and current distribution of these grasshoppers, with chromosomal inversions potentially facilitating adaptation and speciation within the complex.
Additional Information
- Source:Biological Journal of the Linnean Society. 2024/09, Vol. 143, Issue 1, p1
- Document Type:Article
- Subject Area:Oceanography
- Publication Date:2024
- ISSN:0024-4066
- DOI:10.1093/biolinnean/blad166
- Accession Number:180431225
- Copyright Statement:Copyright of Biological Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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