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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Published in:Molecular Ecology Resources
Main Authors: Liu, Shenglin, Hansen, Michael M.
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:https://pure.au.dk/portal/da/publications/psmc-pairwise-sequentially-markovian-coalescent-analysis-of-rad-restriction-site-associated-dna-sequencing-data(ff63b3a2-ca8a-4555-8a73-db78f6b87796).html
https://doi.org/10.1111/1755-0998.12606
id ftuniaarhuspubl:oai:pure.atira.dk:publications/ff63b3a2-ca8a-4555-8a73-db78f6b87796
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spelling ftuniaarhuspubl:oai:pure.atira.dk:publications/ff63b3a2-ca8a-4555-8a73-db78f6b87796 2023-05-15T16:29:58+02:00 PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data Liu, Shenglin Hansen, Michael M. 2017-07 https://pure.au.dk/portal/da/publications/psmc-pairwise-sequentially-markovian-coalescent-analysis-of-rad-restriction-site-associated-dna-sequencing-data(ff63b3a2-ca8a-4555-8a73-db78f6b87796).html https://doi.org/10.1111/1755-0998.12606 eng eng info:eu-repo/semantics/restrictedAccess Liu , S & Hansen , M M 2017 , ' PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data ' , Molecular Ecology Resources , vol. 17 , no. 4 , pp. 631-641 . https://doi.org/10.1111/1755-0998.12606 demographic history pairwise sequentially Markovian coalescent (PSMC) RAD sequencing three-spined stickleback whole-genome sequencing WHOLE-GENOME SEQUENCES POPULATION GENOMICS HISTORY STICKLEBACKS REVEAL NUCLEOTIDE SIGNATURES EVOLUTION DISCOVERY IMPACT article 2017 ftuniaarhuspubl https://doi.org/10.1111/1755-0998.12606 2020-07-18T21:58:13Z 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 (mu) and recombination rate (r) and is proportional to mu*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. Article in Journal/Newspaper Greenland Aarhus University: Research Greenland Molecular Ecology Resources 17 4 631 641
institution Open Polar
collection Aarhus University: Research
op_collection_id ftuniaarhuspubl
language English
topic demographic history
pairwise sequentially Markovian coalescent (PSMC)
RAD sequencing
three-spined stickleback
whole-genome sequencing
WHOLE-GENOME SEQUENCES
POPULATION GENOMICS
HISTORY
STICKLEBACKS
REVEAL
NUCLEOTIDE
SIGNATURES
EVOLUTION
DISCOVERY
IMPACT
spellingShingle demographic history
pairwise sequentially Markovian coalescent (PSMC)
RAD sequencing
three-spined stickleback
whole-genome sequencing
WHOLE-GENOME SEQUENCES
POPULATION GENOMICS
HISTORY
STICKLEBACKS
REVEAL
NUCLEOTIDE
SIGNATURES
EVOLUTION
DISCOVERY
IMPACT
Liu, Shenglin
Hansen, Michael M.
PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
topic_facet demographic history
pairwise sequentially Markovian coalescent (PSMC)
RAD sequencing
three-spined stickleback
whole-genome sequencing
WHOLE-GENOME SEQUENCES
POPULATION GENOMICS
HISTORY
STICKLEBACKS
REVEAL
NUCLEOTIDE
SIGNATURES
EVOLUTION
DISCOVERY
IMPACT
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 (mu) and recombination rate (r) and is proportional to mu*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.
format Article in Journal/Newspaper
author Liu, Shenglin
Hansen, Michael M.
author_facet Liu, Shenglin
Hansen, Michael M.
author_sort Liu, Shenglin
title PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_short PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_full PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_fullStr PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_full_unstemmed PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data
title_sort psmc (pairwise sequentially markovian coalescent) analysis of rad (restriction site associated dna) sequencing data
publishDate 2017
url https://pure.au.dk/portal/da/publications/psmc-pairwise-sequentially-markovian-coalescent-analysis-of-rad-restriction-site-associated-dna-sequencing-data(ff63b3a2-ca8a-4555-8a73-db78f6b87796).html
https://doi.org/10.1111/1755-0998.12606
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
op_source Liu , S & Hansen , M M 2017 , ' PSMC (pairwise sequentially Markovian coalescent) analysis of RAD (restriction site associated DNA) sequencing data ' , Molecular Ecology Resources , vol. 17 , no. 4 , pp. 631-641 . https://doi.org/10.1111/1755-0998.12606
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1111/1755-0998.12606
container_title Molecular Ecology Resources
container_volume 17
container_issue 4
container_start_page 631
op_container_end_page 641
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