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Cost-Effective Discovery of Nucleotide Polymorphisms in Populations of an Allopolyploid Species Using Pool-Seq
- Source :
- American Journal of Molecular Biology. :1031-1046
- Publication Year :
- 2017
- Publisher :
- Scientific Research Publishing, Inc., 2017.
-
Abstract
- Population genetics studies of allopolyploid species lag behind those of diploid species because of practical difficulties in analysis of homeologs-duplicated gene copies originating from hybridized parental species. Pool-Seq, i.e. massive parallel sequencing of pooled individuals, has high potential for detecting nucleotide polymorphisms within and among multiple populations; however, its use has been limited to diploid species. We applied Pool-Seq to an allopolyploid species by developing a bioinformatic pipeline that assigns reads to each homeolog as well as to each polymorphic allele within each homeolog. We simultaneously sequenced eight genes from twenty individuals from each of 24 populations, and found over 100 polymorphic sites in each homeolog. For two sites, we estimated allele frequencies using the number of reads and then validated these estimations by making individual-based estimations. Pool-Seq using our bioinformatic pipeline allows efficient evaluation of nucleotide polymorphisms in a large number of individuals, even in allopolyploid species.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Population genetics
Individual
Based Genotyping
Biology
010603 evolutionary biology
01 natural sciences
UFSP13-7 Evolution in Action: From Genomes to Ecosystems
10127 Institute of Evolutionary Biology and Environmental Studies
03 medical and health sciences
Nucleotide
Allele
Gene
Allele frequency
High potential
Arabidopsis kamchatica
Homeolog
chemistry.chemical_classification
Genetics
Massive parallel sequencing
Massive Parallel Sequencing
Allele Frequency
Psychiatry and Mental health
030104 developmental biology
chemistry
570 Life sciences
biology
590 Animals (Zoology)
Ploidy
Subjects
Details
- ISSN :
- 21616663 and 21616620
- Database :
- OpenAIRE
- Journal :
- American Journal of Molecular Biology
- Accession number :
- edsair.doi.dedup.....4d85b3d879826db4114c378d33bc8383
- Full Text :
- https://doi.org/10.4236/ajmb.2017.74012