Evidence map›Paper›PMID 40186697›Full record

ArticleOecologia2025

Population genetic structure in two contrasting human-altered environments of yellow pygmy rice rat Oligoryzomys flavescens.

E Muschetto, I E Gómez Villafañe, M Scaltritti, J Fraschina, V León, L Adduci, D Hancke, S Guidobono, G R Cueto, M A Tripodi and 4 more

Abstract read
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In one paragraph

Article in Oecologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

E Muschetto *Instituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
I E Gómez Villafañe *Instituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
M ScaltrittiInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
J FraschinaInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
V LeónInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
L AdduciInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
D HanckeInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
S GuidobonoInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
G R CuetoInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
M A TripodiInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
E HassonInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
M BuschInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
O V SuárezInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina.
V ConfalonieriInstituto de Ecología, Genética y Evolución de Buenos Aires (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina. bibilu@ege.fcen.uba.ar.ORCID http://orcid.org/0000-0003-4499-9816

Funding

Consejo Nacional de Investigaciones Científicas y Técnicas PUE-22920160100122CO
6 · The paper itself

Abstract

Human activities are inducing substantial modifications to landscapes on a worldwide scale. As a result, a multitude of animal species are forced to adapt and survive within remnants of altered natural habitats rendering them more vulnerable to the impact of genetic drift. The objective of this research is to assess the degree of connectivity among Oligoryzomys flavescens, an orthohantavirus reservoir species, inhabiting two contrasting human-altered environments by means of genome-wide markers. This study was conducted in 16 sites with varying degrees of urbanization in the city of Buenos Aires and the surrounding metropolitan area, and rural localities in Buenos Aires province, Argentina. Genomic DNA was extracted from 93 specimens collected between 2017 and 2019 and a total of 2456 SNPs, obtained through ddRADseq, were analyzed. Urban sites presented more genetic differentiation, cluster structuring, larger number of private alleles and a higher number of kinship relationships than rural sites. Genetic and spatial distances were positively associated in the rural area while no association was detected in the urban one. Furthermore, our analyses detected some degree of differentiation between individuals inhabiting riparian environments of two distinct river basins and typically rural environments further from both basins. Our results suggest that the urban environment imposes greater limitations to gene flow compared to rural areas, probably due to restrictions to dispersal caused by a higher degree of isolation. This information contributes to the understanding of the potential dispersion of hantavirus among rodents and to design prevention measures to reduce the risk of their transmission to humans.

Indexed as

SigmodontinaeAnimalsArgentinaEcosystemGenetics, PopulationHumansBiodiversity corridorsDispersionGenetic connectivityHantavirus reservoirLandscape modificationsUrbanization

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.