Evidence map›Paper›PMID 32488459›Full record

ArticleFunctional & integrative genomics2020

Identification of lncRNAs involved in wheat tillering development in two pairs of near-isogenic lines.

Wanlin Zhou, Haoran Shi, Zhiqiang Wang, Yueting Zhao, Xiangjian Gou, Caixia Li, Guangdeng Chen, Shihang Liu, Mei Deng, Jian Ma and 3 more

Abstract read
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Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Genome-wide identification and characterization of circRNAs in wheat tiller.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  2. Genome-wide identification and characterization ofFrontiers in plant science · 2023
    Article
  3. Fine mapping of the tiller inhibition gene TIN4 contributing to ideal plant architecture in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  4. Article
  5. 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

13 authors.

Wanlin ZhouTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Haoran ShiTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Zhiqiang WangTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Yueting ZhaoTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Xiangjian GouTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Caixia LiTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Guangdeng ChenCollege of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Shihang LiuTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Mei DengTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Jian MaState Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Wenjiang, Chengdu, 611130, China.
Youliang ZhengTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China.
Yuming WeiTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China. ymwei@sicau.edu.cn.
Yaxi LiuTriticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, 611130, China. liuyaxi@sicau.edu.cn.ORCID https://orcid.org/0000-0001-6814-7218

Funding

the International Science and Technology Cooperation Program of the Bureau of Science and Technology of Chengdu China No. 2015DFA306002015- GH03- 00008-HZthe National Key Research and Development Program of China 2016YFD0101004the National Key Research and Development Program of China 2017YFD0100900the National Natural Science Foundation of China 31771794the National Natural Science Foundation of China 91731305the outstanding Youth Foundation of the Department of Science and Technology of Sichuan Province 2016JQ0040
6 · The paper itself

Abstract

Emerging evidence demonstrates that lncRNAs participate in various developmental processes in plants via post-transcription regulation. However, few lncRNAs have been identified as regulators of tiller development in wheat (Triticum aestivum L.). In this study, high-throughput ribosomal depleted RNA sequencing was performed on the tillering nodes of two pairs of near-isogenic lines that differed only in the tillering trait. We identified 5399 lncRNA transcripts using bioinformational analyses. KEGG pathway analysis revealed 74 common differentially expressed lncRNAs substantially enriched in photosynthesis-related, phenylpropanoid biosynthesis, phosphatidylinositol signaling, brassinosteroid biosynthesis, zeatin biosynthesis, and carotenoid biosynthesis pathways. Detailed functional annotations of target genes were used to identify 27 tillering-associated lncRNAs. Among these, 10 were in photosynthesis-related pathways; 15 were in secondary metabolite pathways; and 8 were in plant hormone pathways, with 6 enriched in two kinds of pathways. These findings contribute to identifying tillering-associated lncRNAs in wheat and enable further investigation into the functions and roles of key candidate lncRNAs, and more experimental evidence was also needed if breeders wanted to utilize these candidate lncRNAs in wheat crop yield improvement in the future.

Indexed as

Base SequenceConserved SequenceMetabolic Networks and PathwaysPhotosynthesisPlant Growth RegulatorsRNA, Long NoncodingTriticumPlant Growth RegulatorsRNA, Long NoncodingIsogenic lineslncRNATillering regulationTriticum aestivumWheat

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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.