A genetic linkage map of the threatened catfish Lophiosilurus alexandri: Inferences on effective population size

Coimbra, Maria Raquel Moura; Farias, Renata da Silva; Silva, Bruno C.N.R. da; Blanco, Andreu; Hermida, Miguel; Caballero, Armando; Bekaert, Michaël; Martı́nez, Paulino

doi:10.1016/j.aaf.2023.02.003

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…The method of Santiago et al (2020) has now been applied to different species, particularly in the last year, including insects, such as honeybees (Sang et al, 2022); birds, such as Black Robin (von Seth et al, 2022); fishes, such as turbot, seabream and seabass (Saura et al, 2021), Baltic herring (Atmore et al, 2022), pikeperch (De Los Ríos-Pérez et al, 2022, coho salmon (Martinez et al, 2022), catfish (Coimbra et al, 2023) and sailfish (Ferrette et al, 2023); wild mammals, such as grey wolf (Pacheco et al, 2022), killer whales (Kardos et al, 2023), sika deer (Iijima et al, 2023), scimitar-horned oryx (Humble et al, 2023) and gorilla (Alvarez-Estape et al, 2023); humans (Bird et al, 2023); domestic species, such as pigs (Krupa et al, 2022), cattle (Jin et al, 2022;Magnier et al, 2022), sheep (Djokic et al, 2023;Drzaic et al, 2022), horse (Criscione et al, 2022) and chicken (Gao et al, 2023;Liu et al, 2023); plants, such as walnut (Ding et al, 2022); crustaceans, such as Daphnia (Wersebe & Weider, 2023) and fungi (Singh et al, 2021). As suggested by Santiago et al (2020), the method is generally reliable for about 200 generations in the past, although…”

Section: Discussionmentioning

confidence: 99%

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

Novo

Pérez‐Pereira

Santiago

et al. 2023

Molecular Ecology Resources

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The availability of a large number of high‐density markers (SNPs) allows the estimation of historical effective population size (Ne) from linkage disequilibrium between loci. A recent refinement of methods to estimate historical Ne from the recent past has been shown to be rather accurate with simulation data. The method has also been applied to real data for numerous species. However, the simulation data cannot encompass all the complexities of real genomes, and the performance of any estimation method with real data is always uncertain, as the true demography of the populations is not known. Here, we carried out an experimental design with Drosophila melanogaster to test the method with real data following a known demographic history. We used a population maintained in the laboratory with a constant census size of about 2800 individuals and subjected the population to a drastic decline to a size of 100 individuals. After a few generations, the population was expanded back to the previous size and after a few further generations again expanded to twice the initial size. Estimates of historical Ne were obtained with the software GONE both for autosomal and X chromosomes from samples of 17 individuals sequenced for the whole genome. Estimates of the historical effective size were able to infer the patterns of changes that occurred in the populations showing generally good performance of the method. We discuss the limitations of the method and the application of the software carried out so far.

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Section: Discussionmentioning

confidence: 99%

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

Novo

Pérez‐Pereira

Santiago

et al. 2023

Molecular Ecology Resources

Self Cite

View full text Add to dashboard Cite

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Impact of population structure in the estimation of recent historical effective population size by the software GONE

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Ordás,

Moraga

et al. 2023

Genet Sel Evol

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Background Effective population size (Ne) is a crucial parameter in conservation genetics and animal breeding. A recent method, implemented by the software GONE, has been shown to be rather accurate in estimating recent historical changes in Ne from a single sample of individuals. However, GONE estimations assume that the population being studied has remained isolated for a period of time, that is, without migration or confluence of other populations. If this occurs, the estimates of Ne can be heavily biased. In this paper, we evaluate the impact of migration and admixture on the estimates of historical Ne provided by GONE through a series of computer simulations considering several scenarios: (a) the mixture of two or more ancestral populations; (b) subpopulations that continuously exchange individuals through migration; (c) populations receiving migrants from a large source; and (d) populations with balanced systems of chromosomal inversions, which also generate genetic structure. Results Our results indicate that the estimates of historical Ne provided by GONE may be substantially biased when there has been a recent mixture of populations that were previously separated for a long period of time. Similarly, biases may occur when the rate of continued migration between populations is low, or when chromosomal inversions are present at high frequencies. However, some biases due to population structuring can be eliminated by conducting population structure analyses and restricting the estimation to the differentiated groups. In addition, disregarding the genomic regions that are involved in inversions can also remove biases in the estimates of Ne. Conclusions Different kinds of deviations from isolation and panmixia of the populations can generate biases in the recent historical estimates of Ne. Therefore, estimation of past demography could benefit from performing population structure analyses beforehand, by mitigating the impact of these biases on historical Ne estimates.

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A genetic linkage map of the threatened catfish Lophiosilurus alexandri: Inferences on effective population size

Cited by 2 publications

References 32 publications

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

Impact of population structure in the estimation of recent historical effective population size by the software GONE

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