Evidence map›Paper›PMID 31597918›Full record

ArticleScientific data2019

Transcriptomic profiling of cotton Gossypium hirsutum challenged with low-temperature gradients stress.

Zhi-Bo Li, Xiao-Yan Zeng, Jian-Wei Xu, Rui-Hai Zhao, Yi-Nong Wei

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  8. Association analysis of germination level cold stress tolerance and candidate gene identification in Upland cotton (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    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

5 authors at 2 institutions in 1 country.

Zhi-Bo LiCollege of Agronomy, Shihezi University, Shihezi, 830032, China.
Xiao-Yan ZengCollege of Agronomy, Shihezi University, Shihezi, 830032, China.
Jian-Wei XuCollege of Agronomy, Shihezi University, Shihezi, 830032, China.
Rui-Hai ZhaoCollege of Agronomy, Shihezi University, Shihezi, 830032, China.
Yi-Nong WeiCollege of Agronomy, Shihezi University, Shihezi, 830032, China. weiyinong@163.com.
Xinjiang Production and Construction Corps · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gossypium hirsutum, a cotton species widely cultivated around the world, is a typical cold-sensitive crop. Low-temperature (LT) stress is one of the main environmental stressors that can affect growth and the quality of cotton fibers. LT is also a major challenge for cotton survival, growth maturity and geographical distribution. However, few genome-wide transcriptional response and profiling datasets are available to explore the LT-tolerant mechanism of cotton. This study treated G. hirsutum with four LT gradients (control at 25 °C and cold temperatures at 4 °C, 10 °C and 15 °C) for 24 hour to generate 12 RNA-Seq datasets (three biological replicates per treatment) with approximately 280 million clean reads per dataset. The quality of the datasets obtained in the current study was validated through a series of quality checks including verification of RNA sample quality and RNA-Seq read quality. Data analyses included novel gene discovery, global gene expression profiling and quantitative real-time PCR. This is the first study to report genome-wide transcriptomic datasets for cotton in response to LT exposure.

Indexed as

Cold TemperatureTranscriptomeGene Expression ProfilingGenome, PlantGossypiumReal-Time Polymerase Chain ReactionStress, Physiological

Identifiers

PMID31597918
PMCPMC6785557
OpenAlexW2979714038

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.