Evidence map›Paper›PMID 33080972›Full record

ArticleGenes2020

Use of Targeted Amplicon Sequencing in Peanut to Generate Allele Information on Allotetraploid Sub-Genomes.

Roshan Kulkarni, Ratan Chopra, Jennifer Chagoya, Charles E Simpson, Michael R Baring, Andrew Hillhouse, Naveen Puppala, Kelly Chamberlin, Mark D Burow

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. CAPG: comprehensive allopolyploid genotyper.Bioinformatics (Oxford, England) · 2023
    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

9 authors at 4 institutions in 1 country.

Roshan KulkarniDepartment of Plant and Soil Sciences, Texas Tech University, Lubbock, TX 79409, USA.
Ratan ChopraPlant Stress and Germplasm Development Unit, United States Department of Agriculture-Agricultural Research Service, Lubbock, TX 79415, USA.ORCID 0000-0003-2088-3341
Jennifer ChagoyaTexas A&M AgriLife Research and Extension Center, Lubbock, TX 79403, USA.
Charles E SimpsonTexas A&M AgriLife Research and Extension Center, Stephenville, TX 76401, USA.
Michael R BaringTexas A&M AgriLife Research, College Station, TX 77843, USA.
Andrew HillhouseDepartment of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX 77843, USA.
Naveen PuppalaAgricultural Sciences Center, New Mexico State University, Clovis, NM 88101, USA.ORCID 0000-0001-8794-1345
Kelly ChamberlinUSDA-ARS, Wheat, Peanut and other Field Crops Research, Stillwater, OK 74075, USA.ORCID 0000-0002-1607-1378
Mark D BurowDepartment of Plant and Soil Sciences, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0003-3694-7397
Texas Tech University · USAgricultural Research Service · USNew Mexico State University · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of molecular markers in plant breeding has become a routine practice, but the cost per accession can be a hindrance to the routine use of Quantitative Trait Loci (QTL) identification in breeding programs. In this study, we demonstrate the use of targeted re-sequencing as a proof of concept of a cost-effective approach to retrieve highly informative allele information, as well as develop a bioinformatics strategy to capture the genome-specific information of a polyploid species. SNPs were identified from alignment of raw transcriptome reads (2 × 50 bp) to a synthetic tetraploid genome using BWA followed by a GATK pipeline. Regions containing high polymorphic SNPs in both A genome and B genomes were selected as targets for the resequencing study. Targets were amplified using multiplex PCR followed by sequencing on an Illumina HiSeq. Eighty-one percent of the SNP calls in diploids and 68% of the SNP calls in tetraploids were confirmed. These results were also confirmed by KASP validation. Based on this study, we find that targeted resequencing technologies have potential for obtaining maximum allele information in allopolyploids at reduced cost.

Indexed as

Genome, PlantPolymorphism, Single NucleotideQuantitative Trait LociTetraploidyAllelesArachisChromosomes, PlantComputational BiologyHigh-Throughput Nucleotide SequencingPlant Breedingallopolyploidheterozygous SNP callstargeted resequencingtetraploids

Identifiers

PMID33080972
PMCPMC7650781
OpenAlexW3092673325

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.