Evidence map›Paper›PMID 26111882›Full record

ArticleScientific reports2015

Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice.

Nisha Singh, Pawan Kumar Jayaswal, Kabita Panda, Paritra Mandal, Vinod Kumar, Balwant Singh, Shefali Mishra, Yashi Singh, Renu Singh, Vandna Rai and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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3 · Its place in the literature

Who cites it

67 citing papers in PubMed.

  1. Article
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  6. Pyramiding of qDTYPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
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  11. Article
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  15. Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Nisha Singh1] National Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India [2] Rayat and Bahra Institute of Engineering and Bio-Technology, Mohali, Punjab Technical University, Jalandhar 140104, India.
Pawan Kumar JayaswalNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Kabita PandaNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Paritra MandalNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Vinod KumarNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Balwant SinghNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Shefali MishraNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Yashi SinghNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Renu SinghNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Vandna RaiNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Anita GuptaRayat and Bahra Institute of Engineering and Bio-Technology, Mohali, Punjab Technical University, Jalandhar 140104, India.
Tilak Raj SharmaNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.
Nagendra Kumar SinghNational Research Centre on Plant Biotechnology, Indian Agricultural Research Institute, New Delhi 110012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphism (SNP) is the most abundant DNA sequence variation present in plant genomes. Here, we report the design and validation of a unique genic-SNP genotyping chip for genetic and evolutionary studies as well as molecular breeding applications in rice. The chip incorporates 50,051 SNPs from 18,980 different genes spanning 12 rice chromosomes, including 3,710 single-copy (SC) genes conserved between wheat and rice, 14,959 SC genes unique to rice, 194 agronomically important cloned rice genes and 117 multi-copy rice genes. Assays with this chip showed high success rate and reproducibility because of the SC gene based array with no sequence redundancy and cross-hybridisation problems. The usefulness of the chip in genetic diversity and phylogenetic studies of cultivated and wild rice germplasm was demonstrated. Furthermore, its efficacy was validated for analysing background recovery in improved mega rice varieties with submergence tolerance developed through marker-assisted backcross breeding.

Indexed as

Polymorphism, Single NucleotideChromosome MappingChromosomes, PlantGene DosageGenes, PlantGenetic VariationGenome, PlantGenotypeGenotyping TechniquesHaplotypesOligonucleotide Array Sequence AnalysisOryzaPhylogenyPlant BreedingPlant ProteinsReproducibility of ResultsPlant Proteins

Identifiers

PMID26111882
PMCPMC4481378

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.