Evidence map›Paper›PMID 30816245›Full record

ArticleScientific reports2019

Development and validation of an SNP genotyping array and construction of a high-density linkage map in castor.

S Senthilvel, Arpita Ghosh, Mobeen Shaik, Ranjan K Shaw, Prashanth G Bagali

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Fine mapping and gene cloning in the post-NGS era: advances and prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  6. A novel high-density grapevine (Vitis vinifera L.) integrated linkage map using GBS in a half-diallel population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    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

5 authors.

S SenthilvelICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, 500030, India. senthilvel.senapathy@icar.gov.in.ORCID 0000-0001-8178-4326
Arpita GhoshXcelris Labs Ltd., Xcellon building, Navrangpura, Ahmedabad, 380009, India.
Mobeen ShaikICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, 500030, India.
Ranjan K ShawICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, 500030, India.
Prashanth G BagaliXcelris Labs Ltd., Xcellon building, Navrangpura, Ahmedabad, 380009, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Castor is a commercially important oilseed crop that provides raw materials for several industries. Currently, the availability of genomic resources for castor is very limited. In this study, genome-wide SNPs were discovered in castor via whole-genome sequencing of 14 diverse lines to an average of 34X coverage. A total of 2,179,759 putative SNPs were detected, and a genotyping array was designed with 6,000 high-quality SNPs representing 2,492 scaffolds of the draft castor genome (87.5% genome coverage). The array was validated by genotyping a panel of 314 inbred castor lines, which resulted in 5,025 scorable SNPs with a high call rate (98%) and reproducibility (100%). Using this array, a consensus linkage map consisting of 1,978 SNP loci was constructed with an average inter-marker distance of 0.55 cM. The genome-wide SNP data, the genotyping array and the dense linkage map are valuable genomic tools for promoting high-throughput genomic research and molecular breeding in castor.

Indexed as

Genetic LinkagePolymorphism, Single NucleotideGenome, PlantGenome-Wide Association StudyGenotyping TechniquesRicinus communis

Identifiers

PMID30816245
PMCPMC6395776

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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.