Evidence map›Paper›PMID 30150850›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2018

Functional analysis of nine cotton genes related to leaf senescence in

Mohammed Elasad, Evans Ondati, Hengling Wei, Hantao Wang, Junji Su, Shuli Fan, Chaoyou Pang, Shuxun Yu

Open access · bronzeAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2018. 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
0.7field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

8 authors at 2 institutions in 1 country.

Mohammed ElasadState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Evans OndatiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Hengling WeiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Hantao WangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Junji SuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Shuli FanState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Chaoyou PangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Shuxun YuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 Henan Province China.
Cotton Research Institute · CNState Key Laboratory of Cotton Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf senescence is defined as a deterioration process that continues to the final developmental stage of leaf. This process is usually regulated by both external and internal factors. There are about 5356 senescence associated genes belonging to 44 plant species. A great number of these genes were identified in Arabidopsis. Leaf senescence can be regulated by many transcription factors. In this study, nine gene families were selected according to their expression levels during leaf senescence from our laboratory database. Phylogenetic tree was constructed by MEGA6. Cultivated cotton CCRI-10 seeds were sown in the experimental field of Institute of Cotton Research of CAAS for profiling and leaf development stages analysis. For abiotic (drought and salt) stress and phytohormone (ABA, SA, ET and JA) treatments, CCRI-10 seeds were sown in potting soil at 25 °C in a chamber room. Total RNA was isolated from various samples and the cDNA prepared for qRT-PCR. The comparative CT method was applied to calculate the relative expression levels of genes. For phylogenetic tree, nine cotton genes were divided into two groups, most of homologous genes in previous studies showed roles in phytohormones and abiotic stress. Expression profiling of the nine genes showed different patterns of tissue specific expression. In leaf development stages, majority of cotton genes showed high expression in early and complete senescence stage. Furthermore, most of cotton genes have positive or negative response to phytohormones and abiotic stress. Based on the results of this study, we found four cotton genes CotAD_07559, CotAD_37422, CotAD_21204 and CotAD_54353 as candidate genes for leaves senescence and abiotic stress.

Indexed as

Gene expressionLeaf developmentPhylogenetic treeProfilingQRT-PCR

Identifiers

PMID30150850
PMCPMC6103938
OpenAlexW2807471376

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.