Evidence map›Paper›PMID 27929054›Full record

ArticleScientific reports2016

In Silico identification of SNP diversity in cultivated and wild tomato species: insight from molecular simulations.

Archana Bhardwaj, Yogeshwar Vikram Dhar, Mehar Hasan Asif, Sumit K Bag

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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

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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.

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  3. Review of protein structure-based analyses that illuminate plant stress mechanisms.Computational and structural biotechnology journal · 2025
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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

4 authors.

Archana BhardwajAcademy of Scientific and Innovative Research (AcSIR), CSIR-NBRI Campus, Lucknow, India.
Yogeshwar Vikram DharAcademy of Scientific and Innovative Research (AcSIR), CSIR-NBRI Campus, Lucknow, India.
Mehar Hasan AsifCouncil of Scientific and Industrial Research - National Botanical Research Institute (CSIR-NBRI), Rana Pratap Marg, Lucknow, 226001, India.
Sumit K BagAcademy of Scientific and Innovative Research (AcSIR), CSIR-NBRI Campus, Lucknow, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single Nucleotide Polymorphisms (SNPs), an important source of genetic variations, are often used in crop improvement programme. The present study represented comprehensive In silico analysis of nucleotide polymorphisms in wild (Solanum habrochaites) and cultivated (Solanum lycopersicum) species of tomato to explore the consequence of substitutions both at sequence and structure level. A total of 8978 SNPs having Ts/Tv (Transition/Transversion) ratio 1.75 were identified from the Expressed Sequence Tag (EST) and Next Generation Sequence (NGS) data of both the species available in public databases. Out of these, 1838 SNPs were non-synonymous and distributed in 988 protein coding genes. Among these, 23 genes containing 96 SNPs were involved in traits markedly different between the two species. Furthermore, there were 28 deleterious SNPs distributed in 27 genes and a few of these genes were involved in plant pathogen interaction and plant hormone pathways. Molecular docking and simulations of several selected proteins showed the effect of SNPs in terms of compactness, conformation and interaction ability. Observed SNPs exhibited various types of motif binding effects due to nucleotide changes. SNPs that provide the evidence of differential motif binding and interaction behaviour could be effectively used for the crop improvement program.

Indexed as

Computer SimulationGenes, PlantPolymorphism, Single NucleotidePlant Growth RegulatorsPlant ProteinsSolanum lycopersicumSpecies SpecificityPlant Growth RegulatorsPlant Proteins

Identifiers

PMID27929054
PMCPMC5144076

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