Evidence map›Paper›PMID 29959457›Full record

ArticlePlant cell reports2018

Characterization of genes specific to sua-CMS in Nicotiana tabacum.

Yeqiang Zheng, Zhiwen Liu, Yuhe Sun, Guanshan Liu, Aiguo Yang, Fengxia Li

Abstract read
PubMed Publisher
In one paragraph

Article in Plant cell reports, 2018. 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
1.4field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yeqiang ZhengTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China.
Zhiwen LiuTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China.
Yuhe SunTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China.
Guanshan LiuTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China.
Aiguo YangTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China. yangaiguo@caas.cn.
Fengxia LiTobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, 266101, China. lifengxia@caas.cn.
Chinese Academy of Agricultural Sciences · CNTobacco Research Institute · CNChina Tobacco · CN

Funding

Agricultural Science and Technology Innovation Program ASTIP-TRIC02Key Laboratory for Utilization of Gene Resources of Tobacco Program 110201603007
6 · The paper itself

Abstract

key messageSix unique ORFs were characterized in tobacco plants with sua-CMS sterile cytoplasm, identifying the mtDNA basis for pollen sterility. sua-CMS (cytoplasmic male sterility), the most widely used sterile system in tobacco hybrids, is the only CMS type identified as having no negative effects on agronomic or quality traits in tobacco (Nicotiana tabacum) and as being fully male sterile. CMS is often associated with alterations of mitochondrial DNA (mtDNA), including novel chimeric open reading frames (ORFs), which result from rearrangement and recombination. Here, we obtained 34 mitochondrial ORFs in the sua-CMS line msZhongyan100 (sZY) by BLAST analysis. When we amplified these mitochondrial ORFs in seven tobacco CMS lines including sua-, glu-, rep-, rus-, tab1-, tab2-, and tab3-CMS types and in fertile tobacco, we found that six ORFs-orf82, orf103, orf115

Indexed as

DNA, MitochondrialGene Expression Regulation, PlantNicotianaOpen Reading FramesPhosphorusPlant InfertilitySequence Analysis, DNADNA, MitochondrialPhosphorusMitochondrial ORFMolecular markerssua-CMSTobaccoTranscript analysis

Identifiers

PMID29959457
OpenAlexW2809686947

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.