Evidence map›Paper›PMID 36478184›Full record

ArticleThe plant genome2023

Whole-genome sequencing based discovery of candidate genes and diagnostic markers for seed weight in groundnut.

Sunil S Gangurde, Aamir W Khan, Pasupuleti Janila, Murali T Variath, Surendra S Manohar, Prashant Singam, Annapurna Chitikineni, Rajeev K Varshney, Manish K Pandey

Abstract read
In one paragraph

Article in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  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. Natural variation in VrERF088 modulates drought tolerance during mungbean germination.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Genomic insights into the genetic basis of the seed size and weight revealed by the Chinese peanut key landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Fine mapping and identification of a Fusarium wilt resistance gene FwS1 in pea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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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

9 authors.

Sunil S GangurdeCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.ORCID 0000-0001-7119-8649
Aamir W KhanCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Pasupuleti JanilaCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Murali T VariathCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Surendra S ManoharCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Prashant SingamDep. of Genetics, Osmania Univ., Hyderabad, 500007, India.
Annapurna ChitikineniCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Rajeev K VarshneyCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.ORCID 0000-0002-4562-9131
Manish K PandeyCenter of Excellence in Genomics & Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.ORCID 0000-0002-4101-6530

Funding

Bill and Melinda Gates Foundation OPP1130244
6 · The paper itself

Abstract

Seed weight in groundnut (Arachis hypogaea L.) has direct impact on yield as well as market price because of preference for bold seeds by consumers and industry, thereby making seed-size improvement as one of the most important objectives of groundnut breeding programs globally. Marker-based early generation selection can accelerate the process of breeding for developing large-seeded varieties. In this context, we deployed the quantitative trait locus-sequencing (QTL-seq) approach on a biparental mapping population (Chico × ICGV 02251) to identify candidate genes and develop markers for seed weight in groundnut. A total of 289.4-389.4 million reads sequencing data were generated from three libraries (ICGV 02251 and two extreme bulks) achieving 93.9-95.1% genome coverage and 8.34-9.29× average read depth. The analysis of sequencing data using QTL-seq pipeline identified five genomic regions (three on chromosome B06 and one each on chromosomes B08 and B09) for seed weight. Detailed analysis of above associated genomic regions detected 182 single-nucleotide polymorphisms (SNPs) in genic and intergenic regions, and 11 of these SNPs were nonsynonymous in the genomic regions of 10 candidate genes including Ulp proteases and BIG SEED locus genes. Kompetitive allele specific polymerase chain reaction (KASP) markers for 14 SNPs were developed, and four of these markers (snpAH0031, snpAH0033, snpAH0037, and snpAH0038) were successfully validated for deployment in breeding for large-seeded groundnut varieties.

Indexed as

FabaceaePlant BreedingChromosome MappingQuantitative Trait LociSeeds

Identifiers

PMID36478184
PMCPMC12807278

What OpenQuestion holds

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Registered trials

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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.