Evidence map›Paper›PMID 22367692›Full record

ArticleMolecular biotechnology2013

Molecular analysis of drought tolerance in tea by cDNA-AFLP based transcript profiling.

Sushmita Gupta, Raju Bharalee, Priyadarshini Bhorali, Sourabh K Das, Prasenjit Bhagawati, Tirthankar Bandyopadhyay, Bornali Gohain, Niraj Agarwal, Parveen Ahmed, Sangeeta Borchetia and 3 more

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Article in Molecular biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

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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

9 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluation of tea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

13 authors at 2 institutions in 1 country.

Sushmita GuptaDepartment of Biotechnology, Plant Improvement Division, Tocklai Experimental Station, Jorhat, Assam, India.
Raju Bharalee
Priyadarshini Bhorali
Sourabh K Das
Prasenjit Bhagawati
Tirthankar Bandyopadhyay
Bornali Gohain
Niraj Agarwal
Parveen Ahmed
Sangeeta Borchetia
M C Kalita
A K Handique
Sudripta Das
Gauhati University · INAssam Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cDNA-AFLP approach was used to identify transcript and/or genes specifically expressed in response to drought in tea. Drought was artificially induced and whole genome transcript profiling was done at three different stages-6 days before wilting, 3 days before wilting and at wilting stage of both tolerant and susceptible cultivars, and genetic differences was thus visualized as polymorphisms in the transcriptome. The cDNA-AFLP technique allowed genes and transcripts to be identified in the tolerant genotype (TV-23) whose expression is responsive to drought stress. The cluster analysis revealed two types of clustering-type I separated the tolerant and susceptible cultivar, whereas type II separated the time point of sample and this may be grouped as early and late responsive transcripts. 108 transcript derived fragments were identified as differentially expressed in tolerant genotypes of which 89 sequences could be obtained. Fifty-nine of them showed homology in the public databases. Functional ontology showed genes related to carbohydrate metabolism, response to stress, protein modification process and translation. Cluster I includes five fragments and cluster II includes 25 fragments. Other genes strongly expressed in response to drought in tolerant genotype would help us in identifying and determining the genetic basis of mechanisms involved in conferring drought tolerance in tea.

Indexed as

DroughtsGene Expression Regulation, PlantStress, PhysiologicalAmplified Fragment Length Polymorphism AnalysisCluster AnalysisDNA, ComplementaryDNA FragmentationGene Expression ProfilingGenotypeRNA, MessengerRNA, PlantTeaTranscriptomeDNA, ComplementaryRNA, MessengerRNA, PlantTea

Identifiers

PMID22367692
OpenAlexW2020248377

What OpenQuestion holds

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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.