Evidence map›Paper›PMID 29986650›Full record

ArticleBMC plant biology2018

Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits.

G Ramakrishna, Parampreet Kaur, Deepti Nigam, Pavan K Chaduvula, Sangita Yadav, Akshay Talukdar, Nagendra Kumar Singh, Kishor Gaikwad

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 56 citations in OpenAlex.

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  10. The Seed Coat's Impact on Crop Performance in Pea (Plants (Basel, Switzerland) · 2022
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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

G RamakrishnaICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Parampreet KaurICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Deepti NigamICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Pavan K ChaduvulaICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Sangita YadavICAR- IARI, Division of Seed Science and Technology, Pusa Campus, New Delhi, 110012, India.
Akshay TalukdarICAR- IARI, Division of Genetics, Pusa Campus, New Delhi, India.
Nagendra Kumar SinghICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
Kishor GaikwadICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012, India. kish2012@nrcpb.org.
National Research Centre on Plant Biotechnology · INIndian Council of Agricultural Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater permeability governed by seed coat is a major facet of seed crops, especially soybean, whose seeds lack physiological dormancy and experience rapid deterioration in seed viability under prolonged storage. Moreover, the physiological and chemical characteristics of soybean seeds are known to vary with seed coat color. Thus, to underpin the genes controlling water permeability in soybean seeds, we carried out an in-depth characterization of the associated genomic variation.

resultsIn the present study, we have analyzed genomic variation between cultivated soybean and its wild progenitor with implications on seed permeability, a trait related to seed storability. Whole genome resequencing of G.max and G. soja, identified SNPs and InDels which were further characterized on the basis of their genomic location and impact on gene expression. Chromosomal density distribution of the variation was assessed across the genome and genes carrying SNPs and InDels were characterized into different metabolic pathways. Seed hardiness is a complex trait that is affected by the allelic constitution of a genetic locus as well as by a tricky web of plant hormone interactions. Seven genes that hold a probable role in the determination of seed permeability were selected and their expression differences at different stages of water imbibition were analyzed. Variant interaction network derived 205 downstream interacting partners of 7 genes confirmed their role in seed related traits. Interestingly, genes encoding for Type I- Inositol polyphosphate 5 phosphatase1 and E3 Ubiquitin ligase could differentiate parental genotypes, revealed protein conformational deformations and were found to segregate among RILs in coherence with their permeability scores. The 2 identified genes, thus showed a preliminary association with the desirable permeability characteristics.

conclusionIn the light of above outcomes, 2 genes were identified that revealed preliminary, but a relevant association with soybean seed permeability trait and hence could serve as a primary material for understanding the molecular pathways controlling seed permeability traits in soybean.

Indexed as

Chromosomes, PlantGenes, PlantGenome-Wide Association StudyGlycine maxINDEL MutationPermeabilityPolymorphism, Single NucleotideSeedsInDelsNextGen sequencingSeed permeabilitySNPsSoybean

Identifiers

PMID29986650
PMCPMC6038289
OpenAlexW2857190944

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