Evidence map›Paper›PMID 24554845›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2014

Mining of microsatellites using next generation sequencing of seabuckthorn (Hippophae rhamnoides L.) transcriptome.

Ankit Jain, Saurabh Chaudhary, Prakash Chand Sharma

Open access · greenAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Ankit JainUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, Delhi 110078 India.
Saurabh ChaudharyUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, Delhi 110078 India.
Prakash Chand SharmaUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, Delhi 110078 India.
Guru Gobind Singh Indraprastha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene based microsatellite markers are becoming more popular as compared to traditional random genomic microsatellite markers due to rapid and inexpensive method of isolation and their cross species portability. The present study documents occurrence of microsatellites in the transcriptome of seabuckthorn, a plant with immense medicinal, nutritional and ecological value. De novo assembly of over 80 million high quality short reads generated by high throughput next generation sequencing yielded 88297 putative unigenes. Of these, 7.69 % unigenes harbored microsatellite repeats with an average of one microsatellite per 6.704 Kb transcriptome. Dinucleotide repeats were most abundant followed by trinucleotide repeats. Microsatellites were densely populated in coding regions followed by 3' and 5' untranslated regions. AG and AAG type repeats were most frequently represented. Of the microsatellite positive unigenes, 48.81 % could be assigned gene ontology (GO) terms in order to assess associations between microsatellite containing unigenes and biological role of known genes. Utility of unigene specific microsatellites was assessed on the basis of polymorphism(s) detected in 18 seabuckthorn collections from Leh (India) using a set of randomly selected 25 unigene specific microsatellites. The findings presented here are likely to find immense use in future breeding and molecular biology research projects in seabuckthorn aiming at its overall development as a crop.

Indexed as

Codon usageGene ontologyMicrosatellites markersSeabuckthornTranscriptome sequencing

Identifiers

PMID24554845
PMCPMC3925482
OpenAlexW2074207423

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.