Literature DB >> 34822037

Genome-wide mining of potentially-hypervariable microsatellites and validation of markers in Momordica charantia L.

Lavale Shivaji Ajinath1, Deepu Mathew2.   

Abstract

Relatively large number of bitter melon microsatellite markers have been reported; however, only few resulted in successful PCR amplification and a small fraction shown polymorphisms. This limited chance of recovering polymorphic markers makes the primer screening a cost-demanding process. To test the hypothesis that microsatellites with longer motifs as well as shorter motifs repeated substantially shall have better prospects to be polymorphic, we performed a genome-wide microsatellite mining. We selected a sample of genome-wide microsatellites with prescribed motif lengths or satisfying a target repeat number, which were considered potentially-hyper variable, for primer designing and validation. Seventy five microsatellites satisfying these criteria were identified, of which 69 were validated through successful PCR amplification. Among them, 40 (53.33% of the markers identified) were polymorphic. This result showed a significantly higher success compared to our initial results of 51 (20.64%) polymorphic markers out of the 188 amplified when 247 previously reported markers were screened. The screening of two cultivars revealed that markers were efficient to identify up to three alleles. The characterization of these 69 new markers with 247 markers previously reported showed that di-nucleotide motifs were most abundant, followed by tri- and tetra-nucleotide motifs. TC motif markers were most polymorphic (12.08%) followed by AG and CT motifs (both 9.89%). Similarly, AGA (6.59%) and TATT (3.29%) were most polymorphic among the tri- and tetra-nucleotide motifs. These 69 hypervariable microsatellite markers along with 188 markers initially validated in this study shall be useful for phylogenetic analyses, studies of linkage, QTL, and association mapping in bitter melon.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Bitter melon; Cucurbit; Mapping; Molecular marker; QTL; SSR

Mesh:

Year:  2021        PMID: 34822037     DOI: 10.1007/s10709-021-00142-6

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  5 in total

1.  Geographic pattern of genetic variation in Pinus resinosa: area of greatest diversity is not the origin of postglacial populations.

Authors:  R Walter; B K Epperson
Journal:  Mol Ecol       Date:  2001-01       Impact factor: 6.185

2.  Long-read bitter gourd (Momordica charantia) genome and the genomic architecture of nonclassic domestication.

Authors:  Hideo Matsumura; Min-Chien Hsiao; Ya-Ping Lin; Atsushi Toyoda; Naoki Taniai; Kazuhiko Tarora; Naoya Urasaki; Shashi S Anand; Narinder P S Dhillon; Roland Schafleitner; Cheng-Ruei Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-27       Impact factor: 11.205

3.  Development of novel simple sequence repeat markers in bitter gourd (Momordica charantia L.) through enriched genomic libraries and their utilization in analysis of genetic diversity and cross-species transferability.

Authors:  Swati Saxena; Archana Singh; Sunil Archak; Tushar K Behera; Joseph K John; Sudhir U Meshram; Ambika B Gaikwad
Journal:  Appl Biochem Biotechnol       Date:  2014-09-21       Impact factor: 2.926

4.  GMATo: A novel tool for the identification and analysis of microsatellites in large genomes.

Authors:  Xuewen Wang; Peng Lu; Zhaopeng Luo
Journal:  Bioinformation       Date:  2013-06-08

5.  Draft genome sequence of bitter gourd (Momordica charantia), a vegetable and medicinal plant in tropical and subtropical regions.

Authors:  Naoya Urasaki; Hiroki Takagi; Satoshi Natsume; Aiko Uemura; Naoki Taniai; Norimichi Miyagi; Mai Fukushima; Shouta Suzuki; Kazuhiko Tarora; Moritoshi Tamaki; Moriaki Sakamoto; Ryohei Terauchi; Hideo Matsumura
Journal:  DNA Res       Date:  2017-02-01       Impact factor: 4.458

  5 in total

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