Evidence map›Paper›PMID 28091575›Full record

ArticleScientific reports2017

Development and Evaluation of a High Density Genotyping 'Axiom_Arachis' Array with 58 K SNPs for Accelerating Genetics and Breeding in Groundnut.

Manish K Pandey, Gaurav Agarwal, Sandip M Kale, Josh Clevenger, Spurthi N Nayak, Manda Sriswathi, Annapurna Chitikineni, Carolina Chavarro, Xiaoping Chen, Hari D Upadhyaya and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

91 citing papers in PubMed.

  1. Article
  2. Understanding the genetics of quality traits in groundnut: GWAS highlights drought-responsive markers and candidate genes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Review
  4. Surprisingly frequent chromosomal instability in cultivated peanut.The Plant journal : for cell and molecular biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  13. Review
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  15. Article
  16. Article
  17. Article
  18. Genomic Analysis of Romanian Lycium Genotypes: ExploringInternational journal of molecular sciences · 2024
    Article
  19. Article
  20. Review

31 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

18 authors.

Manish K PandeyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Gaurav AgarwalInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Sandip M KaleInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Josh ClevengerUniversity of Georgia (UGA), Tifton, USA.
Spurthi N NayakInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Manda SriswathiInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Annapurna ChitikineniInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Carolina ChavarroCenter for Applied Genetic Technologies, University of Georgia (UGA), Athens, USA.
Xiaoping ChenCrops Research Institute (CRI), Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, China.
Hari D UpadhyayaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Manish K VishwakarmaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Soraya Leal-BertioliCenter for Applied Genetic Technologies, University of Georgia (UGA), Athens, USA.
Xuanqiang LiangCrops Research Institute (CRI), Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, China.
David J BertioliCenter for Applied Genetic Technologies, University of Georgia (UGA), Athens, USA.
Baozhu GuoCrop Protection and Management Research Unit, USDA-ARS, Tifton, USA.
Scott A JacksonCenter for Applied Genetic Technologies, University of Georgia (UGA), Athens, USA.
Peggy Ozias-AkinsUniversity of Georgia (UGA), Tifton, USA.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) are the most abundant DNA sequence variation in the genomes which can be used to associate genotypic variation to the phenotype. Therefore, availability of a high-density SNP array with uniform genome coverage can advance genetic studies and breeding applications. Here we report the development of a high-density SNP array 'Axiom_Arachis' with 58 K SNPs and its utility in groundnut genetic diversity study. In this context, from a total of 163,782 SNPs derived from DNA resequencing and RNA-sequencing of 41 groundnut accessions and wild diploid ancestors, a total of 58,233 unique and informative SNPs were selected for developing the array. In addition to cultivated groundnuts (Arachis hypogaea), fair representation was kept for other diploids (A. duranensis, A. stenosperma, A. cardenasii, A. magna and A. batizocoi). Genotyping of the groundnut 'Reference Set' containing 300 genotypes identified 44,424 polymorphic SNPs and genetic diversity analysis provided in-depth insights into the genetic architecture of this material. The availability of the high-density SNP array 'Axiom_Arachis' with 58 K SNPs will accelerate the process of high resolution trait genetics and molecular breeding in cultivated groundnut.

Indexed as

BreedingArachisGene FrequencyGenome, PlantGenotypeGenotyping TechniquesPolymorphism, Single NucleotideReference StandardsSpecies Specificity

Identifiers

PMID28091575
PMCPMC5238394

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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.