Evidence map›Paper›PMID 40164965›Full record

ArticleThe plant genome2025

Development of a cost-effective high-throughput mid-density 5K genotyping assay for germplasm characterization and breeding in groundnut.

Manish K Pandey, Vinay Sharma, Aamir W Khan, Pushpesh Joshi, Sunil S Gangurde, Prasad Bajaj, Pasupuleti Janila, Annapurna Chitikineni, Ramesh Bhat, Babu N Motagi and 10 more

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

20 authors.

Manish K PandeyCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID https://orcid.org/0000-0002-4101-6530
Vinay SharmaCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Aamir W KhanCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID https://orcid.org/0000-0001-9734-8123
Pushpesh JoshiCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Sunil S GangurdeCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Prasad BajajCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Pasupuleti JanilaCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Annapurna ChitikineniCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Ramesh BhatDepartment of Biotechnology, University of Agricultural Sciences, Dharwad, India.
Babu N MotagiDepartment of Biotechnology, University of Agricultural Sciences, Dharwad, India.
Chandramohan SanghICAR-Indian Institute of Groundnut Research (IIGR), Junagadh, India.ORCID https://orcid.org/0009-0003-8131-0050
Thankappan RadhakrishnanICAR-Indian Institute of Groundnut Research (IIGR), Junagadh, India.
Sandip K BeraICAR-Indian Institute of Groundnut Research (IIGR), Junagadh, India.
Gregor GorjancThe Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0001-8008-2787
Krishna Reddy GujjulaThermo Fisher Scientific, Waltham, Massachusetts, USA.
Nathan HallThermo Fisher Scientific, Waltham, Massachusetts, USA.
Claudio D CarrascoThermo Fisher Scientific, Waltham, Massachusetts, USA.
Kandalam ArjunThermo Fisher Scientific, Waltham, Massachusetts, USA.
Srinivas ChandramThermo Fisher Scientific, Waltham, Massachusetts, USA.
Rajeev K VarshneyCenter for Excellence in Genomics and Systems Biology (CEGSB) and Center for Pre -Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID https://orcid.org/0000-0002-4562-9131

Funding

BBSRC BBSRC BB/R019940/1Bill and Melinda Gates Foundation OPP1114827Department of Biotechnology (DBT) of Government of India BT/IN/UK/PORI/0l/MKP/2018-19
6 · The paper itself

Abstract

Groundnut (Arachis hypogaea L.), also known as peanut, is an allotetraploid legume crop composed of two different progenitor sub-genomes. This crop is an important source for food, feed, and confectioneries. Leveraging translational genomics research has expedited the precision and speed in making selections of progenies in several crops through either marker-assisted selection or genomic selection, including groundnut. The availability of foundational genomic resources such as reference genomes for diploid progenitors and cultivated tetraploids, offered substantial opportunities for genomic interventions, including the development of genotyping assays. Here, a cost-effective and high-throughput genotyping assay has been developed with 5,081 single nucleotide polymorphisms (SNPs) referred to as "mid-density assay." This multi-purpose assay includes 5,000 highly informative SNPs selected based on higher polymorphism information content (PIC) from our previously developed high-density "Axiom_Arachis" array containing 58,233 SNPs. Additionally 82 SNPs associated with five resilience and quality traits were included for marker-assisted selection. To test the utility of the mid-density genotyping (MDG) assay, 2,573 genotypes from distinct sets of breeding populations were genotyped with the 5,081 SNPs. PIC of the SNPs in the MDG ranged from 0.34 to 0.37 among diverse sets. The first three principal components collectively explained 82.08% of the variance among these genotypes. The mid-density assay demonstrated a proficient ability to distinguish between the genotypes, offering a high level of genome-wide nucleotide diversity. This assay holds promise for possible deployment in the identification of varietal seed mixtures, genetic purity within gene bank germplasms and seed systems, foreground and background selection in backcross breeding programs, genomic selection, and sparse trait mapping studies in groundnut.

Indexed as

ArachisGenotyping TechniquesPlant BreedingCost-Benefit AnalysisGenome, PlantGenotypePolymorphism, Single NucleotideSeeds

Identifiers

PMID40164965
PMCPMC11958872

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.