Evidence map›Paper›PMID 27462324›Full record

ArticleFrontiers in plant science2016

A Clade-Specific Arabidopsis Gene Connects Primary Metabolism and Senescence.

Dallas C Jones, Wenguang Zheng, Sheng Huang, Chuanlong Du, Xuefeng Zhao, Ragothaman M Yennamalli, Taner Z Sen, Dan Nettleton, Eve S Wurtele, Ling Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Chinese cabbage orphan geneFrontiers in plant science · 2024
    Article
  4. Review
  5. Article
  6. Analysis of the impact of indole-3-acetic acid (IAA) on gene expression during leaf senescence inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  7. Article
  8. Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

10 authors at 2 institutions in 1 country.

Dallas C JonesDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames IA, USA.
Wenguang ZhengDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames IA, USA.
Sheng HuangDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames IA, USA.
Chuanlong DuDepartment of Statistics, Iowa State University, Ames IA, USA.
Xuefeng ZhaoLaurence H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, Ames IA, USA.
Ragothaman M YennamalliDepartment of Genetics, Development and Cell Biology, Iowa State University, AmesIA, USA; Corn Insects and Crop Genetics Research Unit, United States Department of Agriculture-Agriculture Research Service, AmesIA, USA.
Taner Z SenDepartment of Genetics, Development and Cell Biology, Iowa State University, AmesIA, USA; Corn Insects and Crop Genetics Research Unit, United States Department of Agriculture-Agriculture Research Service, AmesIA, USA.
Dan NettletonDepartment of Statistics, Iowa State University, Ames IA, USA.
Eve S WurteleDepartment of Genetics, Development and Cell Biology, Iowa State University, AmesIA, USA; Center for Metabolic Biology, Iowa State University, AmesIA, USA.
Ling LiDepartment of Genetics, Development and Cell Biology, Iowa State University, AmesIA, USA; Center for Metabolic Biology, Iowa State University, AmesIA, USA.
Iowa State University · USUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly immobile, plants have evolved new components to be able to respond to changing environments. One example is Qua Quine Starch (QQS, AT3G30720), an Arabidopsis thaliana-specific orphan gene that integrates primary metabolism with adaptation to environment changes. SAQR (Senescence-Associated and QQS-Related, AT1G64360), is unique to a clade within the family Brassicaceae; as such, the gene may have arisen about 20 million years ago. SAQR is up-regulated in QQS RNAi mutant and in the apx1 mutant under light-induced oxidative stress. SAQR plays a role in carbon allocation: overexpression lines of SAQR have significantly decreased starch content; conversely, in a saqr T-DNA knockout (KO) line, starch accumulation is increased. Meta-analysis of public microarray data indicates that SAQR expression is correlated with expression of a subset of genes involved in senescence, defense, and stress responses. SAQR promoter::GUS expression analysis reveals that SAQR expression increases after leaf expansion and photosynthetic capacity have peaked, just prior to visible natural senescence. SAQR is expressed predominantly within leaf and cotyledon vasculature, increasing in intensity as natural senescence continues, and then decreasing prior to death. In contrast, under experimentally induced senescence, SAQR expression increases in vasculature of cotyledons but not in true leaves. In SAQR KO line, the transcript level of the dirigent-like disease resistance gene (AT1G22900) is increased, while that of the Early Light Induced Protein 1 gene (ELIP1, AT3G22840) is decreased. Taken together, these data indicate that SAQR may function in the QQS network, playing a role in integration of primary metabolism with adaptation to internal and environmental changes, specifically those that affect the process of senescence.

Indexed as

ArabidopsisAT1G64360carbon allocationQQSSAQRsenescencestarchstress

Identifiers

PMID27462324
PMCPMC4940393
OpenAlexW2298340607

What OpenQuestion holds

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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.