Evidence map›Paper›PMID 28962023›Full record

ArticleMolecular biology and evolution2017

Spatiotemporal Dynamics of Genetic Variation in the Iberian Lynx along Its Path to Extinction Reconstructed with Ancient DNA.

Mireia Casas-Marce, Elena Marmesat, Laura Soriano, Begoña Martínez-Cruz, Maria Lucena-Perez, Francisco Nocete, Antonio Rodríguez-Hidalgo, Antoni Canals, Jordi Nadal, Cleia Detry and 9 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Purging of deleterious burden in the endangered Iberian lynx.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

19 authors.

Mireia Casas-MarceDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.
Elena MarmesatDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.
Laura SorianoDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.
Begoña Martínez-CruzDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.
Maria Lucena-PerezDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.
Francisco NoceteGrupo de Investigación MIDAS, Departamento Historia I (Prehistoria), Universidad de Huelva, Huelva, Spain.
Antonio Rodríguez-HidalgoDepartment of Prehistory, Complutense University, Madrid, Spain.
Antoni CanalsEquipo de Investigación Primeros Pobladores de Extremadura, Casa de la Cultura Rodríguez Moñino, Cáceres, Spain.
Jordi NadalSERP, Departament de Prehistòria, Història Antiga i Arqueologia, Universitat de Barcelona, Barcelona, Spain.
Cleia DetryUNIARQ - Centro de Arqueologia da Faculdade de Letras da Universidade de Lisboa, Alameda da Universidade, Lisboa, Portugal.
Eloísa Bernáldez-SánchezLaboratorio de Paleobiología, Instituto Andaluz del Patrimonio Histórico, Consejería de Cultura de la Junta de Andalucía, Seville, Spain.
Carlos Fernández-RodríguezDepartamento de Historia, Faculdade de Filosofía y Letras, Universidad de León, León, Spain.
Manuel Pérez-RipollPrehistory and Archaeology Department, University of Valencia, Valencia, Spain.
Mathias StillerDepartment of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA.
Michael HofreiterEvolutionary Adaptive Genomics, Institute of Biochemistry and Biology, Faculty of Mathematics and Life Sciences, University of Potsdam, Potsdam, Germany.
Alejandro RodríguezDepartment of Conservation Biology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), Sevilla, Spain.
Eloy RevillaDepartment of Conservation Biology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), Sevilla, Spain.
Miguel DelibesDepartment of Conservation Biology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), Sevilla, Spain.
José A GodoyDepartment of Integrative Ecology, Doñana Biological Station (EBD) Spanish National Research Council (CSIC), Sevilla, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is the tendency to assume that endangered species have been both genetically and demographically healthier in the past, so that any genetic erosion observed today was caused by their recent decline. The Iberian lynx (Lynx pardinus) suffered a dramatic and continuous decline during the 20th century, and now shows extremely low genome- and species-wide genetic diversity among other signs of genomic erosion. We analyze ancient (N = 10), historical (N = 245), and contemporary (N = 172) samples with microsatellite and mitogenome data to reconstruct the species' demography and investigate patterns of genetic variation across space and time. Iberian lynx populations transitioned from low but significantly higher genetic diversity than today and shallow geographical differentiation millennia ago, through a structured metapopulation with varying levels of diversity during the last centuries, to two extremely genetically depauperate and differentiated remnant populations by 2002. The historical subpopulations show varying extents of genetic drift in relation to their recent size and time in isolation, but these do not predict whether the populations persisted or went finally extinct. In conclusion, current genetic patterns were mainly shaped by genetic drift, supporting the current admixture of the two genetic pools and calling for a comprehensive genetic management of the ongoing conservation program. This study illustrates how a retrospective analysis of demographic and genetic patterns of endangered species can shed light onto their evolutionary history and this, in turn, can inform conservation actions.

Indexed as

AnimalsConservation of Natural ResourcesDNA, AncientEndangered SpeciesExtinction, BiologicalGenetic DriftGenetic VariationGenomeGenome, MitochondrialLynxMicrosatellite RepeatsSequence Analysis, DNADNA, Ancientancient DNAendangered speciesgenetic erosionIberian lynxpaleogenetics

Identifiers

PMID28962023
PMCPMC5850336

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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.