Evidence map›Paper›PMID 36704175›Full record

ArticleFrontiers in plant science2022

Development of a new AgriSeq 4K mid-density SNP genotyping panel and its utility in pearl millet breeding.

Janani Semalaiyappan, Sivasubramani Selvanayagam, Abhishek Rathore, S K Gupta, Animikha Chakraborty, Krishna Reddy Gujjula, Suren Haktan, Aswini Viswanath, Renuka Malipatil, Priya Shah and 5 more

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Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Standardized microhaplotype databases and frameworks for assessing and mining crop genetic diversity.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

15 authors at 7 institutions in 4 countries.

Janani SemalaiyappanGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Sivasubramani SelvanayagamAccelerated Crop Improvement, International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Abhishek RathoreExcellence in Breeding (EiB) Platform, The International Maize and Wheat Improvement Center (CIMMYT), El Batán, Mexico.
S K GuptaAccelerated Crop Improvement, International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Animikha ChakrabortyGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Krishna Reddy GujjulaBioinformatics, Thermo Fisher Scientific, Austin, TX, United States.
Suren HaktanBioinformatics, Thermo Fisher Scientific, Austin, TX, United States.
Aswini ViswanathGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Renuka MalipatilGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Priya ShahGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Mahalingam GovindarajHarvestPlus, International Center for Tropical Agriculture, Cali, Colombia.
John Carlos IgnacioDepartment of Horticulture and Crop Science, The Ohio State University, Wooster, OH, United States.
Sanjana ReddyGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Ashok Kumar SinghICAR-Indian Agricultural Research Institute, New Delhi, India.
Nepolean ThirunavukkarasuGenomics and Molecular Breeding Lab, ICAR-Indian Institute of Millets Research, Rajendranagar, India.
Indian Institute of Millets Research · INInternational Crops Research Institute for the Semi-Arid Tropics · INThermo Fisher Scientific (United States) · USCentro Internacional de Mejoramiento de Maíz Y Trigo · MXIndian Agricultural Research Institute · INInternational Center for Tropical Agriculture · COThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pearl millet is a crucial nutrient-rich staple food in Asia and Africa and adapted to the climate of semi-arid topics. Since the genomic resources in pearl millet are very limited, we have developed a brand-new mid-density 4K SNP panel and demonstrated its utility in genetic studies. A set of 4K SNPs were mined from 925 whole-genome sequences through a comprehensive in-silico pipeline. Three hundred and seventy-three genetically diverse pearl millet inbreds were genotyped using the newly-developed 4K SNPs through the AgriSeq Targeted Genotyping by Sequencing technology. The 4K SNPs were uniformly distributed across the pearl millet genome and showed considerable polymorphism information content (0.23), genetic diversity (0.29), expected heterozygosity (0.29), and observed heterozygosity (0.03). The SNP panel successfully differentiated the accessions into two major groups, namely B and R lines, through genetic diversity, PCA, and structure models as per their pedigree. The linkage disequilibrium (LD) analysis showed Chr3 had higher LD regions while Chr1 and Chr2 had more low LD regions. The genetic divergence between the B- and R-line populations was 13%, and within the sub-population variability was 87%. In this experiment, we have mined 4K SNPs and optimized the genotyping protocol through AgriSeq technology for routine use, which is cost-effective, fast, and highly reproducible. The newly developed 4K mid-density SNP panel will be useful in genomics and molecular breeding experiments such as assessing the genetic diversity, trait mapping, backcross breeding, and genomic selection in pearl millet.

Indexed as

AgriSeq technologygenomicshigh-throughput genotypingmid-density SNPpearl millet

Identifiers

PMID36704175
PMCPMC9871632
OpenAlexW4315434000

What OpenQuestion 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 OpenQuestion graph.