Evidence map›Paper›PMID 28630801›Full record

ArticlePeerJ2017

Characterization of the transcriptome and EST-SSR development in

Ying Wang, Kun Liu, De Bi, Shoubiao Zhou, Jianwen Shao

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Characterisation of theBiodiversity data journal · 2024
    Article
  2. Systems biology of resurrection plants.Cellular and molecular life sciences : CMLS · 2021
    Review
  3. Characterizing the Leaf Transcriptome ofFrontiers in genetics · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. 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.

Ying WangCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.
Kun LiuCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.
De BiCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.
Shoubiao ZhouCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.
Jianwen ShaoCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDesiccation-tolerant (DT) plants can recover full metabolic competence upon rehydration after losing most of their cellular water (>95%) for extended periods of time. Functional genomic approaches such as transcriptome sequencing can help us understand how DT plants survive and respond to dehydration, which has great significance for plant biology and improving the drought tolerance of crops.

methodsIn the present study, we used the platform Illumina HiSeq™2000 and

resultsA total of 91,449 unigenes were generated from the leaf cDNA library of DISCUSSION: This work is the first genetic study of

Indexed as

Boea clarkeanaDesiccation toleranceEST-SSRsGene function annotationTranscriptome

Identifiers

PMID28630801
PMCPMC5474092

What OpenQuestion holds

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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.