Evidence map›Paper›PMID 28278186›Full record

ArticlePloS one2017

Comparative transcriptome analysis of the different tissues between the cultivated and wild tomato.

Qi Dai, Lili Geng, Minjia Lu, Weibo Jin, Xuying Nan, Ping-An He, Yuhua Yao

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2017. 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
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Transcriptomic Approach for Investigation ofCurrent issues in molecular biology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. New insights into tomato microRNAs.Scientific reports · 2018
    Article
  10. Article
  11. Transcriptomic Response of Resistant (PI613981-Frontiers in plant science · 2017
    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

7 authors at 1 institution in 1 country.

Qi DaiCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Lili GengCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Minjia LuCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Weibo JinCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Xuying NanCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Ping-An HeCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.
Yuhua YaoCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, China.ORCID http://orcid.org/0000-0003-4811-646X
Zhejiang Sci-Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although domesticated tomato is cultivated by wild tomato, there are a lot of differences between cultivated tomato and wild tomato, such as shape, physiological function and life history. Many studies show that wild tomato has better salt resistance and drought resistance. In addition to, domesticated tomato's fruit is bigger and has more nutritious than wild tomato. The different features are closely related to differentially expressed genes. We identified 126 up-regulated differentially expressed genes and 87 down-regulated differentially expressed genes in cultivated tomato and wild tomato by RNA-Seq. These differentially expressed genes may be associated with salt resistance, drought resistance and fruit nutrition. These differentially expressed genes also further highlight the large-scale reconstruction between wild and cultivated species. In this paper, we mainly study GO enrichment analysis and pathway analysis of the differentially expressed genes. After GO and pathway enrichment analysis, a set of significantly enriched GO annotations and pathways were identified for the differentially expressed genes. What's more, we also identified long non-coding RNAs and mRNAs in the two species and analyzed its essential features. In addition to, we construct a co-expression network of long non-coding RNAs and mRNAs, and annotate mRNAs associated with long non-coding RNAs as target genes, and speculate the regulation function of long non-coding RNAs. In total, our results reveal the effects of artificial and natural selection on tomato's transcript, providing scientific basis for tomato's research in the future.

Indexed as

Gene Expression Regulation, PlantGene Expression ProfilingGenes, PlantOrgan SpecificitySolanum lycopersicumTranscriptome

Identifiers

PMID28278186
PMCPMC5344371
OpenAlexW2594901947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.