Evidence map›Paper›PMID 27465295›Full record

ArticleFunctional & integrative genomics2016

De novo transcriptome sequencing facilitates genomic resource generation in Tinospora cordifolia.

Rakesh Singh, Rajesh Kumar, Ajay Kumar Mahato, Ritu Paliwal, Amit Kumar Singh, Sundeep Kumar, Soma S Marla, Ashok Kumar, Nagendra K Singh

Abstract read
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Article in Functional & integrative genomics, 2016. 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
–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

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.

  1. Article
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  5. Article
  6. Transcriptome sequencing andJournal of genetics · 2019
    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

9 authors.

Rakesh SinghDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India. rakesh.singh2@icar.gov.in.ORCID http://orcid.org/0000-0001-7269-6420
Rajesh KumarDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Ajay Kumar MahatoICAR-National Research Centre on Plant Biotechnology, New Delhi, 110 012, India.
Ritu PaliwalDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Amit Kumar SinghDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Sundeep KumarDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Soma S MarlaDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Ashok KumarGermplasm Evaluation Division, ICAR-National Bureau of Plant Genetic Resources, New Delhi, 110 012, India.
Nagendra K SinghICAR-National Research Centre on Plant Biotechnology, New Delhi, 110 012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tinospora cordifolia is known for its medicinal properties owing to the presence of useful constituents such as terpenes, glycosides, steroids, alkaloids, and flavonoids belonging to secondary metabolism origin. However, there is little information available pertaining to critical genomic elements (ESTs, molecular markers) necessary for judicious exploitation of its germplasm. We employed 454 GS-FLX pyrosequencing of entire transcripts and altogether ∼25 K assembled transcripts or Expressed sequence tags (ESTs) were identified. As the interest in T. cordifolia is primarily due to its secondary metabolite constituents, the ESTs pertaining to terpenoids biosynthetic pathway were identified in the present study. Additionally, several ESTs were assigned to different transcription factor families. To validate our transcripts dataset, the novel EST-SSR markers were generated to assess the genetic diversity among germplasm of T. cordifolia. These EST-SSR markers were found to be polymorphic and the dendrogram based on dice similarity index revealed three distinct clustering of accessions. The present study demonstrates effectiveness in using both NEWBLER and MIRA sequence read assembler software for enriching transcript-dataset and thus enables better exploitation of EST resources for mining candidate genes and designing molecular markers.

Indexed as

Genetic VariationDatabases, GeneticExpressed Sequence TagsGenomicsHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMolecular Sequence AnnotationTinosporaTranscriptomeEST-SSRTerpenesTinosporaTranscription factorTranscriptome

Identifiers

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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.