IDSSR: An Efficient Pipeline for Identifying Polymorphic Microsatellites from a Single Genome Sequence.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
16 Jul 2019
Historique:
received: 13 05 2019
revised: 25 06 2019
accepted: 15 07 2019
entrez: 19 7 2019
pubmed: 19 7 2019
medline: 18 12 2019
Statut: epublish

Résumé

Simple sequence repeats (SSRs) are known as microsatellites, and consist of tandem 1-6-base motifs. They have become one of the most popular molecular markers, and are widely used in molecular ecology, conservation biology, molecular breeding, and many other fields. Previously reported methods identify monomorphic and polymorphic SSRs and determine the polymorphic SSRs via experimental validation, which is potentially time-consuming and costly. Herein, we present a new strategy named insertion/deletion (INDEL) SSR (IDSSR) to identify polymorphic SSRs by integrating SSRs with nucleotide insertions/deletions (INDEL) solely based on a single genome sequence and the sequenced pair-end reads. These INDEL indexes and polymorphic SSRs were identified, as well as the number of repeats, repeat motifs, chromosome location, annealing temperature, and primer sequences, enabling future experimental approaches to determine the correctness and polymorphism. Experimental validation with the giant panda demonstrated that our method has high reliability and stability. The efficient SSR pipeline would help researchers obtain high-quality genetic markers for plants and animals of interest, save labor, and reduce costly marker-screening experiments. IDSSR is freely available at https://github.com/Allsummerking/IDSSR.

Identifiants

pubmed: 31315288
pii: ijms20143497
doi: 10.3390/ijms20143497
pmc: PMC6678329
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Science and Technology of the People's Republic of China
ID : 2016YFC0503200
Organisme : State Forestry Administration
ID : a special grant for the giant panda
Organisme : Ministry of Education of the People's Republic of China
ID : Fundamental Research Funds for the Central Universities of the People's Republic of China

Références

Genome Res. 2001 Aug;11(8):1441-52
pubmed: 11483586
Nat Genet. 2002 Feb;30(2):194-200
pubmed: 11799393
Mol Ecol. 2002 Jan;11(1):1-16
pubmed: 11903900
Nucleic Acids Res. 2003 Jul 1;31(13):3672-8
pubmed: 12824391
Bioinformatics. 2004 Jun 12;20(9):1405-12
pubmed: 14976032
Electrophoresis. 2004 Jul;25(14):2165-76
pubmed: 15274000
Yi Chuan Xue Bao. 2005 May;32(5):457-62
pubmed: 16018254
Ecol Lett. 2006 May;9(5):615-29
pubmed: 16643306
Bioinformatics. 2007 Jul 1;23(13):1683-5
pubmed: 17463017
Brief Bioinform. 2008 Sep;9(5):355-66
pubmed: 18621747
Int J Plant Genomics. 2008;2008:412696
pubmed: 18670612
Bioinformatics. 2009 Aug 1;25(15):1966-7
pubmed: 19497933
BMC Genomics. 2009 Dec 09;10:590
pubmed: 20003193
Nature. 2010 Jan 21;463(7279):311-7
pubmed: 20010809
Mol Ecol Resour. 2010 Mar;10(2):341-7
pubmed: 21565030
Mol Ecol Resour. 2011 Sep;11(5):903-13
pubmed: 21592315
Mol Ecol Resour. 2012 Jul;12(4):726-39
pubmed: 22463760
Brief Bioinform. 2013 Jan;14(1):67-81
pubmed: 22648964
Nucleic Acids Res. 2012 Aug;40(15):e115
pubmed: 22730293
Genome Res. 2013 Jan;23(1):195-200
pubmed: 22972939
Mol Ecol Resour. 2013 May;13(3):538-45
pubmed: 23398650
Bioinformation. 2013 Jun 08;9(10):541-4
pubmed: 23861572
Saudi J Biol Sci. 2009 Oct;16(2):57-62
pubmed: 23961043
J Hered. 2013 Nov-Dec;104(6):881-5
pubmed: 24052535
DNA Res. 2014 Aug;21(4):429-38
pubmed: 24618211
Mol Ecol Resour. 2014 Nov;14(6):1302-13
pubmed: 24785154
J Integr Plant Biol. 2015 Nov;57(11):980-91
pubmed: 25809845
Biomed Res Int. 2015;2015:394157
pubmed: 25811026
BMC Genomics. 2015 Feb 07;16:61
pubmed: 25888121
DNA Res. 2015 Oct;22(5):377-86
pubmed: 26385353
Front Plant Sci. 2016 Jan 07;6:1171
pubmed: 26779212
J Hered. 2016 Sep;107(5):423-30
pubmed: 27112165
Bioinformatics. 2016 Sep 1;32(17):2707-9
pubmed: 27170037
Front Plant Sci. 2016 Sep 13;7:1350
pubmed: 27679641
BMC Genomics. 2016 Dec 22;17(Suppl 13):1035
pubmed: 28155670
Bioinformatics. 2017 Aug 15;33(16):2583-2585
pubmed: 28398459
Bioinformatics. 2017 Dec 15;33(24):3922-3928
pubmed: 28968741
Bioinformatics. 2018 Mar 15;34(6):943-948
pubmed: 29121165
Sci Rep. 2018 Sep 26;8(1):14407
pubmed: 30258087
Nucleic Acids Res. 1997 Sep 1;25(17):3389-402
pubmed: 9254694
Nucleic Acids Res. 1999 Jan 15;27(2):573-80
pubmed: 9862982

Auteurs

Xuan-Min Guang (XM)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Jin-Quan Xia (JQ)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Jian-Qing Lin (JQ)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Jun Yu (J)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Qiu-Hong Wan (QH)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Sheng-Guo Fang (SG)

MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou 310058, China. sgfanglab@zju.edu.cn.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Classifications MeSH