Evidence map›Paper›PMID 29304121›Full record

ArticlePloS one2018

Effect of multiple allelic combinations of genes on regulating grain size in rice.

Umakanta Ngangkham, Sanghamitra Samantaray, Manoj Kumar Yadav, Awadhesh Kumar, Parameswaran Chidambaranathan, Jawahar Lal Katara

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Agronomic potential of plant-specific Gγ proteins.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Hotter, drier, CRISPR: the latest edit on climate change.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  9. TaCKX gene family, at large, is associated with thousand-grain weight and plant height in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. GW2 Functions as an E3 Ubiquitin Ligase for Rice Expansin-Like 1.International journal of molecular sciences · 2018
    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

6 authors.

Umakanta NgangkhamICAR-National Rice Research Institute, Odisha, India.ORCID 0000-0001-5792-0615
Sanghamitra SamantarayICAR-National Rice Research Institute, Odisha, India.
Manoj Kumar YadavICAR-National Rice Research Institute, Odisha, India.
Awadhesh KumarICAR-National Rice Research Institute, Odisha, India.
Parameswaran ChidambaranathanICAR-National Rice Research Institute, Odisha, India.
Jawahar Lal KataraICAR-National Rice Research Institute, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The grain size is one of the complex trait of rice yield controlled by a plethora of interaction of several genes in different pathways. The present study was undertaken to investigate the influence of seven known grain size regulating genes: DEP1, GS7, GS3, GW8, GL7, GS5 and GW2. A wide phenotypic variation for grain length, grain width and grain length-width ratio were observed in 89 germplasm. The correlation analysis showed a strong association among these three grain traits viz. GL, GW, GLWR and TGW which play important roles in determining the final rice grain size. Except for GW2, all six genes showed strong association with grain size traits. A total of 21 alleles were identified with an average of 2.1 allele/locus in 89 germplasm of which seven alleles were found to be favourable alleles for improving the grain size with the frequency range of 24 (26.97%) to 82 (92.13%); the largest was found in GS5 followed by GW8, GL7, DEP1, GS3 and GS7 genes. Through ANOVA, four markers (GS3-PstI, S9, GID76 and GID711) of three genes (GS3, DEP1 and GL7) were found significantly associated with all the three traits (GL, GLWR and TGW). Concurrent results of significant associations of grain size traits with other markers were observed in both analysis of variance and genetic association through the general linear model. Besides, the population structure analysis, cluster analysis and PCoA divided the entire germplasm into three sub-groups with the clear-cut demarcation of long and medium grain types. The present results would help in formulating strategies by selecting suitable candidate markers/genes for obtaining preferred grain shape/size and improving grain yield through marker-assisted breeding.

Indexed as

AllelesGenes, PlantGenetic VariationOryzaPhenotype

Identifiers

PMID29304121
PMCPMC5755915

What OpenQuestion holds

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Registered trials

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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.