Evidence map›Paper›PMID 36662257›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

Combined population transcriptomic and genomic analysis reveals cis-regulatory differentiation of non-coding RNAs in maize.

Jiawen Lu, Sihan Zhen, Jie Zhang, Yuxin Xie, Cheng He, Xiaoli Wang, Zheyuan Wang, Song Zhang, Yongxiang Li, Yu Cui and 7 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Transcriptome-Wide Association Uncovers LncRNAs Controlling Seed Weight in Soybean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Jiawen Lu *Center of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Sihan Zhen *Center of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Jie Zhang *Center of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Yuxin XieInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Cheng HeCenter of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Xiaoli WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zheyuan WangCenter of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Song ZhangCenter of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Yongxiang LiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yu CuiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Guoying WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jianhua WangCenter of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Jun LiuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lin LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Riliang GuCenter of Seed Science and Technology, Beijing Innovation Center for Seed Technology, Ministry of Agriculture and Rural Affairs, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China. rilianggu@cau.edu.cn.
Xiaoming ZhengNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhengxiaoming@caas.cn.
Junjie FuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. fujunjie@caas.cn.ORCID http://orcid.org/0000-0002-4702-2392
Chinese Academy of Agricultural Sciences · CNMinistry of Agriculture and Rural Affairs · CNHuazhong Agricultural University · CNInternational Rice Research Institute · PH

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 31571683Modern Agro-Industry Technology Research System of Maize CARS-02-13
6 · The paper itself

Abstract

key messageLong intergenic non-coding RNA (lincRNA), cis-acting expression quantitative trait locus (cis-eQTL), maize, regulatory evolution. The law of genetic variation during domestication explains the evolutionary mechanism and provides a theoretical basis for improving existing varieties of maize. Previous studies focused on exploiting regulatory variations controlling the expression of protein-coding genes rather than of non-protein-coding genes. Here, we examined the genetic and evolutionary features of long non-coding RNAs from intergenic regions (long intergenic non-coding RNAs, lincRNAs) using population-scale transcriptome data and identified 1168 lincRNAs with cis-acting expression quantitative trait loci (cis-eQTLs). We found that lincRNAs are more likely to be regulated by cis-eQTLs, which exert stronger effects than the protein-coding genes. During maize domestication and improvement, upregulated alleles of lincRNAs, which originated from both standing variation and new mutation, accumulate more frequently and show larger effect sizes than the coding genes. A stronger signature of genetic differentiation was observed in their regulatory regions compared to those of randomly sampled lincRNAs. In addition, we found that cis-regulatory differentiation of lincRNAs is related to the sequence conservation of lincRNA transcripts. Non-conserved lincRNAs more tend to gain upregulated alleles and show a stronger relationship with selected traits than conserved lincRNAs between maize and its wild relatives. Our findings in maize improve the understanding of cis-regulatory variation in lincRNA genes during domestication and improvement and provide an effective approach for prioritizing candidates for further investigation.

Indexed as

RNA, Long NoncodingTranscriptomeGenomicsQuantitative Trait LociZea maysRNA, Long Noncoding

Identifiers

PMID36662257
OpenAlexW4317545819

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.