ArticleBMC genomics2009
Genic non-coding microsatellites in the rice genome: characterization, marker design and use in assessing genetic and evolutionary relationships among domesticated groups.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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34 citing papers in PubMed, 68 citations in OpenAlex.
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- Identification of Insertion and Deletion (InDel) Markers for Chickpea (Plants (Basel, Switzerland) · 2024Article
- Genome-wide identification and characterization of functionally relevant microsatellite markers from transcription factor genes of Tea (Camellia sinensis (L.) O. Kuntze).Scientific reports · 2022Article
- Occurrence of simple sequence repeats in cDNA sequences of safflower (Frontiers in plant science · 2022Article
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- Characterization of Induced High Yielding Cowpea Mutant Lines Using Physiological, Biochemical and Molecular Markers.Scientific reports · 2020Article
- Genome-wide cis-regulatory signatures for modulation of agronomic traits as exemplified by drought yield index (DYI) in chickpea.Functional & integrative genomics · 2019Article
- An EMS-induced new sequence variant, TEMS5032, in the coding region of SRS3 gene leads to shorter grain length in rice (Oryza sativa L.).Journal of applied genetics · 2018Article
- Identification, analysis and development of salt responsive candidate gene based SSR markers in wheat.BMC plant biology · 2018Article
- RiceMetaSys for salt and drought stress responsive genes in rice: a web interface for crop improvement.BMC bioinformatics · 2017Article
- Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India.Rice (New York, N.Y.) · 2016Article
- Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice.Scientific reports · 2016Article
- Three Rice NAC Transcription Factors Heteromerize and Are Associated with Seed Size.Frontiers in plant science · 2016Article
- Alternative Oxidase Gene Family in Hypericum perforatum L.: Characterization and Expression at the Post-germinative Phase.Frontiers in plant science · 2016Article
- An Efficient Strategy Combining SSR Markers- and Advanced QTL-seq-driven QTL Mapping Unravels Candidate Genes Regulating Grain Weight in Rice.Frontiers in plant science · 2016Article
- Characterization of Global Transcriptome Using Illumina Paired-End Sequencing and Development of EST-SSR Markers in Two Species of Gynostemma (Cucurbitaceae).Molecules (Basel, Switzerland) · 2015Article
- SSR markers: a tool for species identification in Psidium (Myrtaceae).Molecular biology reports · 2015Article
- CNMS: The preferred genic markers for comparative genomic, molecular phylogenetic, functional genetic diversity and differential gene regulatory expression analyses in chickpea.Journal of biosciences · 2015Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCompletely sequenced plant genomes provide scope for designing a large number of microsatellite markers, which are useful in various aspects of crop breeding and genetic analysis. With the objective of developing genic but non-coding microsatellite (GNMS) markers for the rice (Oryza sativa L.) genome, we characterized the frequency and relative distribution of microsatellite repeat-motifs in 18,935 predicted protein coding genes including 14,308 putative promoter sequences.
resultsWe identified 19,555 perfect GNMS repeats with densities ranging from 306.7/Mb in chromosome 1 to 450/Mb in chromosome 12 with an average of 357.5 GNMS per Mb. The average microsatellite density was maximum in the 5' untranslated regions (UTRs) followed by those in introns, promoters, 3'UTRs and minimum in the coding sequences (CDS). Primers were designed for 17,966 (92%) GNMS repeats, including 4,288 (94%) hypervariable class I types, which were bin-mapped on the rice genome. The GNMS markers were most polymorphic in the intronic region (73.3%) followed by markers in the promoter region (53.3%) and least in the CDS (26.6%). The robust polymerase chain reaction (PCR) amplification efficiency and high polymorphic potential of GNMS markers over genic coding and random genomic microsatellite markers suggest their immediate use in efficient genotyping applications in rice. A set of these markers could assess genetic diversity and establish phylogenetic relationships among domesticated rice cultivar groups. We also demonstrated the usefulness of orthologous and paralogous conserved non-coding microsatellite (CNMS) markers, identified in the putative rice promoter sequences, for comparative physical mapping and understanding of evolutionary and gene regulatory complexities among rice and other members of the grass family. The divergence between long-grained aromatics and subspecies japonica was estimated to be more recent (0.004 Mya) compared to short-grained aromatics from japonica (0.006 Mya) and long-grained aromatics from subspecies indica (0.014 Mya).
conclusionOur analyses showed that GNMS markers with their high polymorphic potential would be preferred candidate functional markers in various marker-based applications in rice genetics, genomics and breeding. The CNMS markers provided encouraging implications for their use in comparative genome mapping and understanding of evolutionary complexities in rice and other members of grass family.
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