2019
DOI: 10.1002/ece3.5888
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A practical introduction to sequentially Markovian coalescent methods for estimating demographic history from genomic data

Abstract: A common goal of population genomics and molecular ecology is to reconstruct the demographic history of a species of interest. A pair of powerful tools based on the sequentially Markovian coalescent have been developed to infer past population sizes using genome sequences. These methods are most useful when sequences are available for only a limited number of genomes and when the aim is to study ancient demographic events. The results of these analyses can be difficult to interpret accurately, because doing so… Show more

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Cited by 77 publications
(80 citation statements)
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“…Overfitting can result in large N e estimates at ancient and recent time periods and is mitigated by merging neighbouring time segments to have identical coalescent rates (Mather et al, 2020).…”
Section: Parameter Selection and Scalingmentioning
confidence: 99%
See 1 more Smart Citation
“…Overfitting can result in large N e estimates at ancient and recent time periods and is mitigated by merging neighbouring time segments to have identical coalescent rates (Mather et al, 2020).…”
Section: Parameter Selection and Scalingmentioning
confidence: 99%
“…Sequentially Markovian coalescent models reconstruct fluctuations in N e over time from patterns of heterozygosity along a single genome. N e is estimated from the rate of coalescence events between alleles in discrete time intervals based on the principle that coalescence is more likely to occur when population size is small (and geographic population substructure is weak) (Mather et al, 2020). If the marine realm supports larger populations that experience higher connectivity (and thus weaker substructure), we would expect the PSMC plots of marine elapids to show (a) higher overall N e ; and (b) less pronounced fluctuations in N e compared to terrestrial species.…”
mentioning
confidence: 99%
“…For this reason, it is also possible that the population decline seen in the Spotted Owlet after the LGM may also be due to changes in population structure, and this needs to be tested with more data. Disentangling the effects of population structure and demography remains challenging, particularly with sequentially Markovian Coalescent methods (Mather et al, 2020). Another technical constraint is the absence of a reference genome assembly of the study species, which would have allowed better mapping of reads.…”
Section: Temporal Trends In N E Over the Late Quaternary For The Two mentioning
confidence: 99%
“…Caution may be needed with the interpretation of some individuals given that both coverage and high levels of inbreeding can impact PSMC results (Nadachowska-Brzyska et al, 2016;Mather, Traves, & Ho, 2020), however, most individuals had coverage close to or above the 18X recommended (Table 1; Nadachowska-Brzyska et al, 2016). Itcha-Ilgachuz and Aishihik had elevated inbreeding coefficients which may impact results, and we did see large error margin predicted by the bootstrap analysis for Aishihik individuals, which have a very different demographic reconstruction than the others (Figure 4f and Figures S3a and b).…”
Section: Genomic Structure and Demographic Historymentioning
confidence: 99%
“…It is possible that the PSMC peak is being inflated by population structuring (Mather et al, 2020), but even so, ~120-50 kya was clearly a critical period of diversification between lineages, as shown from both the nuclear and mitochondrial DNA. Hence, prevailing theory about the evolution of caribou lineages in refugia during the LGM, followed by recolonization and a 'hybrid swarm' in the mountains (McDevitt et al, 2009;Yannic et al, 2013) is likely oversimplified, further bolstered by the evident sub-structuring within the northern mountain ecotype (Figure 6a-b), and the evidence from the mtDNA of multiple introgression events occurring before, as well as after, the LGM (Figure 2 and 3).…”
Section: Western Caribou Genetic Structure and Diversificationmentioning
confidence: 99%