Evidence map›Paper›PMID 27379110›Full record

ArticleFrontiers in plant science2016

Transcriptome- Assisted Label-Free Quantitative Proteomics Analysis Reveals Novel Insights into Piper nigrum-Phytophthora capsici Phytopathosystem.

Chidambareswaren Mahadevan, Anu Krishnan, Gayathri G Saraswathy, Arun Surendran, Abdul Jaleel, Manjula Sakuntala

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.2field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 42 citations in OpenAlex.

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  11. Differential Potential ofMicroorganisms · 2020
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  15. Proteomics of PTI and Two ETI Immune Reactions in Potato Leaves.International journal of molecular sciences · 2019
    Article
  16. Identification of stable reference gene for transcript normalization in black pepper-Physiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
  17. 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 at 1 institution in 1 country.

Chidambareswaren MahadevanDivision of Plant Molecular Biology, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Anu KrishnanDivision of Plant Molecular Biology, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Gayathri G SaraswathyDivision of Plant Molecular Biology, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Arun SurendranProteomics Core Facility, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Abdul JaleelProteomics Core Facility, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Manjula SakuntalaDivision of Plant Molecular Biology, Rajiv Gandhi Center for Biotechnology Thiruvananthapuram, India.
Rajiv Gandhi Centre for Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black pepper (Piper nigrum L.), a tropical spice crop of global acclaim, is susceptible to Phytophthora capsici, an oomycete pathogen which causes the highly destructive foot rot disease. A systematic understanding of this phytopathosystem has not been possible owing to lack of genome or proteome information. In this study, we explain an integrated transcriptome-assisted label-free quantitative proteomics pipeline to study the basal immune components of black pepper when challenged with P. capsici. We report a global identification of 532 novel leaf proteins from black pepper, of which 518 proteins were functionally annotated using BLAST2GO tool. A label-free quantitation of the protein datasets revealed 194 proteins common to diseased and control protein datasets of which 22 proteins showed significant up-regulation and 134 showed significant down-regulation. Ninety-three proteins were identified exclusively on P. capsici infected leaf tissues and 245 were expressed only in mock (control) infected samples. In-depth analysis of our data gives novel insights into the regulatory pathways of black pepper which are compromised during the infection. Differential down-regulation was observed in a number of critical pathways like carbon fixation in photosynthetic organism, cyano-amino acid metabolism, fructose, and mannose metabolism, glutathione metabolism, and phenylpropanoid biosynthesis. The proteomics results were validated with real-time qRT-PCR analysis. We were also able to identify the complete coding sequences for all the proteins of which few selected genes were cloned and sequence characterized for further confirmation. Our study is the first report of a quantitative proteomics dataset in black pepper which provides convincing evidence on the effectiveness of a transcriptome-based label-free proteomics approach for elucidating the host response to biotic stress in a non-model spice crop like P. nigrum, for which genome information is unavailable. Our dataset will serve as a useful resource for future studies in this plant. Data are available via ProteomeXchange with identifier PXD003887.

Indexed as

black pepper—Phytophthora capsiciBLAST2GOlabel-free proteomicsplant-oomycete interactionProtein Lynx Global SERVERproteogenomicsReViGOSTRING 9.1

Identifiers

PMID27379110
PMCPMC4913111
OpenAlexW2421051102

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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.