Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data

The pairwise sequentially Markovian coalescent (PSMC) method uses the genome sequence of a single individual to estimate demographic history covering a time span of thousands of generations. Although originally designed for whole-genome data, we here use simulations to investigate its applicability...

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Main Authors: Liu, Shenglin, Hansen, Michael M.
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2016
Subjects:
geo
Online Access:https://doi.org/10.5061/dryad.0618v
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::54273f01df54a36b0d8445819066391b 2023-05-15T16:30:29+02:00 Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data Liu, Shenglin Hansen, Michael M. 2016-01-01 https://doi.org/10.5061/dryad.0618v undefined unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.0618v http://dx.doi.org/10.5061/dryad.0618v lic_creative-commons 10.5061/dryad.0618v oai:easy.dans.knaw.nl:easy-dataset:95505 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:95505 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Demographic history Pairwise Sequential Markovian Coalescent (PSMC) RAD sequencing threespine stickleback whole genome sequencing Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2016 fttriple https://doi.org/10.5061/dryad.0618v 2023-01-22T17:41:57Z The pairwise sequentially Markovian coalescent (PSMC) method uses the genome sequence of a single individual to estimate demographic history covering a time span of thousands of generations. Although originally designed for whole-genome data, we here use simulations to investigate its applicability to reference genome-aligned restriction site associated DNA (RAD) data. We find that RAD data can potentially be used for PSMC analysis, but at present with limitations. The key factor is the proportion (p) of the genome that the RAD data covers. In our simulations, a proportion of 10% can still retain a substantial amount of coalescent information, whereas for 1% estimation becomes unreliable. The performance depends strongly on mutation rate (μ) and recombination rate (r) and is proportional to μ*p/r. When the value of this term is low, increasing the amount of data and number of iterations helps restoring the power of the estimation. We subsequently analyse one whole-genome-sequenced and 17 RAD-sequenced three-spined sticklebacks (Gasterosteus aculeatus) from a lake in Greenland. The whole-genome sequence suggests a relatively recent expansion and decline within ca. 4000–40 000 generations ago, possibly reflecting postglacial expansion and founding of the lake population. RAD data, where chromosomes from 10 individuals are combined, identify a similar pattern. Our study provides guidance about the use of PSMC analysis and suggests measures that can improve its utility for RAD data. Finally, the study shows that RAD loci in general contain coalescent information that can be used for developing more targeted methods. empirical data(psmcfa files)The zip file contains the input files for PSMC from the empirical data of threespine sticklebacks in the study. Seventeen of them are from RAD data, and one of them is from whole genome sequencing data.Generating PSMC input files from simulated dataThe file contains a function written in R. This function randomly samples RAD loci from chromosomes simulated by ms (Hudson 2002), ... Dataset Greenland Unknown Greenland Hudson
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Demographic history
Pairwise Sequential Markovian Coalescent (PSMC)
RAD sequencing
threespine stickleback
whole genome sequencing
Life sciences
medicine and health care
envir
geo
spellingShingle Demographic history
Pairwise Sequential Markovian Coalescent (PSMC)
RAD sequencing
threespine stickleback
whole genome sequencing
Life sciences
medicine and health care
envir
geo
Liu, Shenglin
Hansen, Michael M.
Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
topic_facet Demographic history
Pairwise Sequential Markovian Coalescent (PSMC)
RAD sequencing
threespine stickleback
whole genome sequencing
Life sciences
medicine and health care
envir
geo
description The pairwise sequentially Markovian coalescent (PSMC) method uses the genome sequence of a single individual to estimate demographic history covering a time span of thousands of generations. Although originally designed for whole-genome data, we here use simulations to investigate its applicability to reference genome-aligned restriction site associated DNA (RAD) data. We find that RAD data can potentially be used for PSMC analysis, but at present with limitations. The key factor is the proportion (p) of the genome that the RAD data covers. In our simulations, a proportion of 10% can still retain a substantial amount of coalescent information, whereas for 1% estimation becomes unreliable. The performance depends strongly on mutation rate (μ) and recombination rate (r) and is proportional to μ*p/r. When the value of this term is low, increasing the amount of data and number of iterations helps restoring the power of the estimation. We subsequently analyse one whole-genome-sequenced and 17 RAD-sequenced three-spined sticklebacks (Gasterosteus aculeatus) from a lake in Greenland. The whole-genome sequence suggests a relatively recent expansion and decline within ca. 4000–40 000 generations ago, possibly reflecting postglacial expansion and founding of the lake population. RAD data, where chromosomes from 10 individuals are combined, identify a similar pattern. Our study provides guidance about the use of PSMC analysis and suggests measures that can improve its utility for RAD data. Finally, the study shows that RAD loci in general contain coalescent information that can be used for developing more targeted methods. empirical data(psmcfa files)The zip file contains the input files for PSMC from the empirical data of threespine sticklebacks in the study. Seventeen of them are from RAD data, and one of them is from whole genome sequencing data.Generating PSMC input files from simulated dataThe file contains a function written in R. This function randomly samples RAD loci from chromosomes simulated by ms (Hudson 2002), ...
format Dataset
author Liu, Shenglin
Hansen, Michael M.
author_facet Liu, Shenglin
Hansen, Michael M.
author_sort Liu, Shenglin
title Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_short Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_full Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_fullStr Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_full_unstemmed Data from: PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_sort data from: psmc (pairwise sequentially markovian coalescent) analysis of rad (restriction site associated dna) sequencing data
publisher Dryad Digital Repository
publishDate 2016
url https://doi.org/10.5061/dryad.0618v
geographic Greenland
Hudson
geographic_facet Greenland
Hudson
genre Greenland
genre_facet Greenland
op_source 10.5061/dryad.0618v
oai:easy.dans.knaw.nl:easy-dataset:95505
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:95505
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10|eurocrisdris::fe4903425d9040f680d8610d9079ea14
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op_relation https://dx.doi.org/10.5061/dryad.0618v
http://dx.doi.org/10.5061/dryad.0618v
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op_doi https://doi.org/10.5061/dryad.0618v
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