Sign in
GenomicsJournal of Applied Genetics
Peer-reviewed journal article

Genome-wide development of miRNA-based SSR markers in Cleistogenes songorica with their transferability analysis to gramineae and non- gramineae species

Gisele Kanzana, Yufei ZhangiD, Tiantian MaiD, Wenxian LiuiD, Fan WuiD, Yan QiiD, Xueyang MiniD, Zhuanzhuan Yan, Blaise Pascal MuvunyiiD, Jie LiiD, Zhengshe ZhangiD, Yufeng ZhaoiD, Jiyu ZhangiD

Abstract

SSR markers are commonly used for many genetic applications, such as map construction, fingerprinting and genetic diversity analysis due to their high reproducibility, levels of polymorphism and abundance. As endogenous, small RNAs, miRNAs have essential roles in plant development and gene expression under diverse stress conditions, including various biotic and abiotic stress conditions. In the present study, we predicted 110 pre-miRNAs sequences from 287 precursor miRNAs and used them as queries for SSR marker development. Among 110 primer pairs, 85 were successfully amplified and examined for transferability to other gramineae and non-gramineae species. The results showed that all 82 primer pairs yielded unambiguous and strong amplification, and across the 23 studied Cleistogenes accessions, a total of 385 alleles were polymorphic. The number of alleles produced per primer varied from 3 to 11, with an average of 4.69 per locus. The expected heterozygosity (He) ranged from 0.44 to 0.88, with an average of 0.74 per locus, and the PIC (Polymorphism Information Content) values ranged from 0.34 to 0.87, with an average of 0.69 per locus. In this study, 1422 miRNA target genes were predicted and analyzed using the GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases. The results showed that this miRNA-based microsatellite marker system can be very useful for genetic diversity and marker-assisted breeding studies.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKumar '17Tyagi '21Chen '21Diouf '24Korpelainen '20Luo '17
71% semantic matchBioinformatics
Anuj Kumar, Aditi Chauhan, Mansi Sharma+8 more·bioRxiv·Nov 2, 2017· 10 citations