Evidence map›Paper›PMID 34735479›Full record

ArticlePloS one2021

In-silico genome wide analysis of Mitogen activated protein kinase kinase kinase gene family in C. sinensis.

Abhirup Paul, Anurag P Srivastava, Shreya Subrahmanya, Guoxin Shen, Neelam Mishra

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecular regulation of immunity in tea plants.Molecular biology reports · 2023
    Review
  6. 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

5 authors.

Abhirup PaulDepartment of Biochemistry, REVA University, Bangalore, Karnataka, India.
Anurag P SrivastavaDepartment of Life Sciences, Garden City University, Bangalore, Karnataka, India.
Shreya SubrahmanyaDepartment of Botany, St. Joseph's College Autonomous, Bangalore, Karnataka, India.
Guoxin ShenSericultural Research Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Neelam MishraDepartment of Botany, St. Joseph's College Autonomous, Bangalore, Karnataka, India.ORCID 0000-0001-6191-5392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitogen activated protein kinase kinase kinase (MAPKKK) form the upstream component of MAPK cascade. It is well characterized in several plants such as Arabidopsis and rice however the knowledge about MAPKKKs in tea plant is largely unknown. In the present study, MAPKKK genes of tea were obtained through a genome wide search using Arabidopsis thaliana as the reference genome. Among 59 candidate MAPKKK genes in tea, 17 genes were MEKK-like, 31 genes were Raf-like and 11 genes were ZIK- like. Additionally, phylogenetic relationships were established along with structural analysis, which includes gene structure, its location as well as conserved motifs, cis-acting regulatory elements and functional domain signatures that were systematically examined. Also, on the basis of one orthologous gene found between tea and Arabidopsis, functional interaction was carried out in C. sinensis based on an Arabidopsis association model. The expressional profiles indicated major involvement of MAPKKK genes from tea in response to various abiotic stress factors. Taken together, this study provides the targets for additional inclusive identification, functional study, and provides comprehensive knowledge for a better understanding of the MAPKKK cascade regulatory network in C. sinensis.

Indexed as

PhylogenyArabidopsisCamellia sinensisChromosomes, PlantConserved SequenceGene DuplicationGene Expression Regulation, PlantGenome, PlantMAP Kinase Kinase KinasesMAP Kinase Signaling SystemMultigene FamilyOryzaSequence AlignmentStress, PhysiologicalMAP Kinase Kinase Kinases

Identifiers

PMID34735479
PMCPMC8568164

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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.