Evidence map›Paper›PMID 28330165›Full record

Article3 Biotech2016

Genetic characterization and population structure of Indian rice cultivars and wild genotypes using core set markers.

Malathi Surapaneni, Divya Balakrishnan, Sukumar Mesapogu, Addanki Krishnam Raju, Yadavalli Venkateswara Rao, Sarla Neelamraju

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Article in 3 Biotech, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Unravelling genetic architecture and development of core set from elite rice lines using yield-related candidate gene markers.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  4. Article
  5. Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Malathi SurapaneniICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India.
Divya BalakrishnanICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India. divyab0005@gmail.com.
Sukumar MesapoguICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India.
Addanki Krishnam RajuICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India.
Yadavalli Venkateswara RaoICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India.
Sarla NeelamrajuICAR-National Professor Project, Indian Institute of Rice Research, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic diversity among 23 rice genotypes including wild species and cultivars of indica, japonica, aus and aromatic type was investigated using 165 genomewide core set microsatellite (SSR) markers. This genotypic characterization was undertaken to know the genetic similarity among the parental lines to be used in developing a set of chromosome segment substitution lines. In all, 253 alleles were identified using 77 polymorphic SSRs, and polymorphism information content ranged from 0.31 to 0.97 with a mean of 0.79. Cluster analysis grouped the genotypes into three clusters at a genetic similarity of 0.26-0.75. Wild accessions grouped together in cluster-I, indica cultivars formed cluster-II, and aromatic, japonica and aus types came under cluster-III. Principal component analysis also showed similar results. The genotypic data was analyzed using STRUCTURE, and genotypes were grouped into four populations. RM1018 on chromosome 4, RM8009 on chromosome 7, and RM273 on chromosome 12 amplified alleles specific to wild accessions. The information obtained from core set markers would help in selecting diverse parents including wild accessions and for tracking alleles in mapping or breeding populations.

Indexed as

DiversityPCAPopulation structureSSRsWild rice

Identifiers

PMID28330165
PMCPMC4808523

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