Evidence map›Paper›PMID 20652447›Full record

ArticleMolecular biotechnology2011

Molecular marker-assisted genotyping of mungbean yellow mosaic India virus resistant germplasms of mungbean and urdbean.

Soumitra Maiti, Jolly Basak, Sabyasachi Kundagrami, Anirban Kundu, Amita Pal

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In one paragraph

Article in Molecular biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Functional Markers for Precision Plant Breeding.International journal of molecular sciences · 2020
    Review
  6. Association mapping for3 Biotech · 2020
    Article
  7. Yellow Mosaic Disease (YMD) of Mungbean (Frontiers in plant science · 2020
    Review
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Soumitra MaitiDivision of Plant Biology, Bose Institute, P 1/12 CIT Scheme VIIM, Kolkata 700054, India.
Jolly Basak
Sabyasachi Kundagrami
Anirban Kundu
Amita Pal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mungbean Yellow Mosaic India Virus (MYMIV) belonging to the genus begomovirus causes the yellow mosaic disease in a number of economically important edible grain legumes including mungbean (Vigna radiata), urdbean (Vigna mungo) and soybean (Glycine max). The disease is severe, critical, open spread and inflicts heavy yield losses annually. The objective of this study is to develop molecular markers linked to MYMIV-resistance to facilitate genotyping of urdbean and mungbean germplasms for MYMIV-reaction. Resistance-linked molecular markers were successfully developed from consensus motifs of other resistance (R) gene or R gene homologue sequences. Applying linked marker-assisted genotyping, plant breeders can carry out repeated genotyping throughout the growing season in absence of any disease incidence. Two MYMIV-resistance marker loci, YR4 and CYR1, were identified and of these two CYR1 is completely linked with MYMIV-resistant germplasms and co-segregating with MYMIV-resistant F₂, F₃ progenies of urdbean. The present study demonstrated that these two markers could be efficiently employed together in a multiplex-PCR-reaction for genotyping both V. mungo and V. radiata germplasms from field grown plants and also directly from the seed stock. This method of genotyping would save time and labour during the introgression of MYMIV-resistance through molecular breeding, as methods of phenotyping against begomoviruses are tedious, labour and time intensive.

Indexed as

BegomovirusDNA, PlantDNA, ViralFabaceaeGenotypeMolecular Sequence DataPhenotypePlant DiseasesSequence Analysis, DNADNA, PlantDNA, Viral

Identifiers

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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.