Evidence map›Paper›PMID 30173295›Full record

ArticleMolecular genetics and genomics : MGG2019

Development of sequence-based markers for seed protein content in pigeonpea.

Jimmy Obala, Rachit K Saxena, Vikas K Singh, C V Sameer Kumar, K B Saxena, Pangirayi Tongoona, Julia Sibiya, Rajeev K Varshney

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. A diagnostic marker kit for Fusarium wilt and sterility mosaic diseases resistance in pigeonpea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  8. Article
  9. Genomics-assisted breeding for pigeonpea improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  10. Article
  11. Review
  12. Article
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

8 authors.

Jimmy ObalaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Rachit K SaxenaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Vikas K SinghInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
C V Sameer KumarInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
K B SaxenaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Pangirayi TongoonaUniversity of KwaZulu-Natal, African Center for Crop Improvement, Scottsville, Pietermaritzburg, 3209, South Africa.
Julia SibiyaUniversity of KwaZulu-Natal, African Center for Crop Improvement, Scottsville, Pietermaritzburg, 3209, South Africa.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India. r.k.varshney@cgiar.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pigeonpea is an important source of dietary protein to over a billion people globally, but genetic enhancement of seed protein content (SPC) in the crop has received limited attention for a long time. Use of genomics-assisted breeding would facilitate accelerating genetic gain for SPC. However, neither genetic markers nor genes associated with this important trait have been identified in this crop. Therefore, the present study exploited whole genome re-sequencing (WGRS) data of four pigeonpea genotypes (~ 12X coverage) to identify sequence-based markers and associated candidate genes for SPC. By combining a common variant filtering strategy on available WGRS data with knowledge of gene functions in relation to SPC, 108 sequence variants from 57 genes were identified. These genes were assigned to 19 GO molecular function categories with 56% belonging to only two categories. Furthermore, Sanger sequencing confirmed presence of 75.4% of the variants in 37 genes. Out of 30 sequence variants converted into CAPS/dCAPS markers, 17 showed high level of polymorphism between low and high SPC genotypes. Assay of 16 of the polymorphic CAPS/dCAPS markers on an F

Indexed as

Genetic MarkersCajanusChromosome MappingDNA, PlantGenotypeHigh-Throughput Nucleotide SequencingMutationPhenotypePlant BreedingPlant ProteinsSeedsWhole Genome SequencingDNA, PlantGenetic MarkersPlant ProteinsCajanus cajanCommon variant analysisNext generation sequencingSeed protein contentSequence variantsWhole-genome resequencing

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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.