Evidence map›Paper›PMID 24847713›Full record

ArticlePloS one2014

Structure-based computational study of two disease resistance gene homologues (Hm1 and Hm2) in maize (Zea mays L.) with implications in plant-pathogen interactions.

Budheswar Dehury, Mahesh Chandra Patra, Jitendra Maharana, Jagajjit Sahu, Priyabrata Sen, Mahendra Kumar Modi, Manabendra Dutta Choudhury, Madhumita Barooah

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Budheswar DehuryDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India; Department of Life Science and Bioinformatics, Assam University, Silchar, Assam, India.
Mahesh Chandra PatraBIF-Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar, Odisha, India; Animal Genomics Laboratory, Animal Biotechnology Centre, National Dairy Research Institute, Karnal, Haryana, India.
Jitendra MaharanaBIF-Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar, Odisha, India; Biotechnology Laboratory, Central Inland Fisheries Research Institute, Barrackpore, Kolkata, West Bengal, India.
Jagajjit SahuDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Priyabrata SenDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Mahendra Kumar ModiDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Manabendra Dutta ChoudhuryDepartment of Life Science and Bioinformatics, Assam University, Silchar, Assam, India.
Madhumita BarooahDepartment of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam, India.
Assam Agricultural University · INAssam University · INCentral Inland Fisheries Research Institute · INNational Dairy Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NADPH-dependent HC-toxin reductases (HCTR1 and 2) encoded by enzymatic class of disease resistance homologous genes (Hm1 and Hm2) protect maize by detoxifying a cyclic tetrapeptide, HC-toxin, secreted by the fungus Cochliobolus carbonum race 1(CCR1). Unlike the other classes' resistance (R) genes, HCTR-mediated disease resistance is an inimitable mechanism where the avirulence (Avr) component from CCR1 is not involved in toxin degradation. In this study, we attempted to decipher cofactor (NADPH) recognition and mode of HC-toxin binding to HCTRs through molecular docking, molecular dynamics (MD) simulations and binding free energy calculation methods. The rationality and the stability of docked complexes were validated by 30-ns MD simulation. The binding free energy decomposition of enzyme-cofactor complex was calculated to find the driving force behind cofactor recognition. The overall binding free energies of HCTR1-NADPH and HCTR2-NADPH were found to be -616.989 and -16.9749 kJ mol-1 respectively. The binding free energy decomposition revealed that the binding of NADPH to the HCTR1 is mainly governed by van der Waals and nonpolar interactions, whereas electrostatic terms play dominant role in stabilizing the binding mode between HCTR2 and NADPH. Further, docking analysis of HC-toxin with HCTR-NADPH complexes showed a distinct mode of binding and the complexes were stabilized by a strong network of hydrogen bond and hydrophobic interactions. This study is the first in silico attempt to unravel the biophysical and biochemical basis of cofactor recognition in enzymatic class of R genes in cereal crop maize.

Indexed as

Disease ResistanceMolecular Docking SimulationMolecular Dynamics SimulationSequence Homology, Nucleic AcidAmino Acid SequenceAscomycotaHost-Pathogen InteractionsMolecular Sequence DataNADPOxidoreductasesPeptides, CyclicPlant DiseasesPlant ProteinsSequence AlignmentThermodynamicsZea maysHC toxinHC toxin reductase, Zea maysNADPOxidoreductasesPeptides, CyclicPlant Proteins

Identifiers

PMID24847713
PMCPMC4029905
OpenAlexW2013640555

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LicenceCC BY
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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.