Evidence map›Paper›PMID 36018849›Full record

ArticlePloS one2022

Molecular characterization and genetic diversity analysis in Indian mustard (Brassica juncea L. Czern & Coss.) varieties using SSR markers.

K H Singh, Lal Singh, Nehanjali Parmar, Sunil Kumar, J Nanjundan, Guman Singh, Ajay Kumar Thakur

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Population Genetic Analysis ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  7. Review
  8. 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

7 authors at 2 institutions in 1 country.

K H SinghICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.
Lal SinghICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.
Nehanjali ParmarICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.
Sunil KumarICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.
J NanjundanICAR-Indian Agricultural Research Institute-Regional Station, Wellington Tamilnadu, India.
Guman SinghICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.
Ajay Kumar ThakurICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India.ORCID 0000-0003-3125-7055
ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur · INIndian Agricultural Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluated genetic diversity in a panel of 87 Indian mustard varieties using 200 genomic-SSR markers. A total of 189 SSRs resulted into positive amplification with 174 (92.06%) SSRs generating polymorphic products and 15 (7.94%) SSRs producing monomorphic amplicons. A total of 552 alleles were obtained and allele number varied from 2-6 with an average number of 3.17 alleles per SSR marker. The major allele frequency ranged from 0.29 (ENA23) to 0.92 (BrgMS841) with an average value of 0.58 per SSR locus. The polymorphic information content (PIC) value ranged from 0.10 (BrgMS841) to 0.68 (BrgMS519) with 0.39 as mean PIC value. The gene diversity per locus ranged from 0.13 (BrgMS841) to 0.72 (ENA23 & BrgMS519) with a mean value of 0.48 per SSR primer pair. Both Unweighted Neighbor Joining-based dendrogram and population structure analysis divided all the 87 varieties into two major groups/subpopulations. Analysis of molecular variance (AMOVA) inferred the presence of more genetic variation (98%) among individuals than among groups (2%). A total of 31 SSRs produced 36 unique alleles for 27 varieties which will serve as unique DNA-fingerprints for the identification and legal protection of these varieties. Further, the results obtained provided a deeper insight into the genetic structure of Indian mustard varieties in India and will assist in formulating future breeding strategies aimed at Indian mustard genetic improvement.

Indexed as

Microsatellite RepeatsMustard PlantAllelesGenetic MarkersGenetic VariationGenotypeHumansPhylogenyPlant BreedingGenetic Markers

Identifiers

PMID36018849
PMCPMC9417036
OpenAlexW4293150321

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.