Correction to: The Mitochondrial Genetic Diversity of the Olive Field Mouse Abrothrix olivacea (Cricetidae; Abrotrichini) is Latitudinally Structured Across Its Geographic Distribution

Quiroga-Carmona, Marcial; Abud, Carolina; Lessa, Enrique P.; D’Elı́a, Guillermo

doi:10.1007/s10914-022-09610-y

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“…The olive field mouse, Abrothrix olivacea (Family Cricetidae, Tribe Abrotrichini), matches with the second scheme described by Pardiñas et al 31 ; its mitochondrial diversity is structured in four main and mostly allopatric phylogroups originated during the last million years, which experienced independent demographic dynamics 37 ; see also 33 , 40 – 42 . However, no study has explicitly evaluated whether the identified patterns of genetic structure correlate with landscape features and their temporal dynamism.…”

Section: Introductionsupporting

confidence: 75%

“…The analyzed mitochondrial dataset corresponds to the one assembled by Quiroga-Carmona et al 37 to assess the phylogeographic structure and historical demography of Abrothrix olivacea . The dataset consists of 801 bp of the cytochrome-b gene ( Cytb ) from a total of 416 specimens collected from 103 localities (46 from Argentina and 57 from Chile; see Supplementary materials [SM], Appendix 1 ).…”

Section: Methodsmentioning

confidence: 99%

“…The dataset consists of 801 bp of the cytochrome-b gene ( Cytb ) from a total of 416 specimens collected from 103 localities (46 from Argentina and 57 from Chile; see Supplementary materials [SM], Appendix 1 ). This was employed to extract a dataset of mitochondrial binary single-nucleotide polymorphisms (mt-SNP) following the workflow outlined by Jombart et al 45 and employed in Quiroga-Carmona et al 37 . The mt-SNP dataset was employed to perform a genetic-based Principal Components Analysis (gPCA) to summarize the dimensionality of the mitochondrial genetic data into a reduced set of principal components axes (PCs).…”

Section: Methodsmentioning

confidence: 99%

“…manni 36 ; A . olivacea 37 ; Loxondotomys micropus 38 ; Oligoryzomys longicaudatus 39 . Overall, these differences reflect the length of time that species have been resident in the area and their idiosyncratic responses to environmental events.…”

Section: Introductionmentioning

confidence: 99%

“…A . olivacea has the broadest distribution among the sigmodontine rodents of Southern South America; see 43 , inhabiting a wide variety of ecosystems (e.g., Coastal desert, Mediterranean shrub, Valdivian and Magellanic forest, Patagonian steppe 44 ), and exhibiting different levels of mitochondrial genetic structure across its geographic range 37 , making an ideal model to study the effects of the environmental variability on the genetic differentiation of small mammal species. Considering the reviewed antecedents, the aim of this study was to address the implications of dynamism and variability of the environmental-climatic features of southern South America in structuring the mitochondrial variability of A .…”

Section: Introductionmentioning

confidence: 99%

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Climate influences the genetic structure and niche differentiation among populations of the olive field mouse Abrothrix olivacea (Cricetidae: Abrotrichini)

Quiroga-Carmona

D’Elı́a

2022

Sci Rep

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Even when environmental variation over time and space is commonly considered as an important driver of population divergence, few evaluations of intraspecific genetic variation explicitly assess whether observed structure has been caused by or is correlated with landscape heterogeneity. Several phylogeographic studies have characterized the mitochondrial diversity of Abrothrix olivacea, but none has incorporated landscape genetics analyses and ecological niche modeling, leaving a gap in the understanding of the species evolutionary history. Here, these aspects were addressed based on 186 single nucleotide polymorphisms, extracted from sequences of 801 bp of Cytb gene, gathered from 416 individuals collected at 103 localities in Argentina and Chile. Employing multivariate statistical analyses (gPCA, Mantel and Partial Mantel Tests, Procrustes Analysis, and RDA), associations between genetic differences and geographic and climatic distances were evaluated. Presence data was employed to estimate the potential geographic distribution of this species during historical and contemporary climatic scenarios, and to address differences among the climatic niches of their main mitochondrial lineages. The significant influence of landscape features in structuring mitochondrial variability was evidenced at different spatial scales, as well as the role of past climatic dynamics in driving geographic range shifts, mostly associated to Quaternary glaciations. Overall, these results suggest that throughout geographic range gene flow is unevenly influenced by climatic dissimilarity and the geographic distancing, and that studied lineages do not exhibit distributional signals of climatic niche conservatism. Additionally, genetic differentiation occurred by more complex evolutionary processes than mere disruption of gene flow or drift.

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