Evidence map›Paper›PMID 39397073›Full record

ArticleCommunications biology2024

Seeing the unseen in characterizing RNA editome during rice endosperm development.

Ming Chen, Lin Xia, Xinyu Tan, Shenghan Gao, Sen Wang, Man Li, Yuansheng Zhang, Tianyi Xu, Yuanyuan Cheng, Yuan Chu and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Ming Chen *National Genomics Data Center, China National Center for Bioinformation, Beijing, China.ORCID 0009-0004-8567-4625
Lin Xia *National Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Xinyu TanBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Shenghan GaoBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-4280-4915
Sen WangBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Man LiNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Yuansheng ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Tianyi XuNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.ORCID 0000-0003-4197-8163
Yuanyuan ChengNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Yuan ChuNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Songnian HuBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. husn@im.ac.cn.ORCID 0000-0003-3966-3111
Shuangyang WuBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. shuangyang.wu@gmi.oeaw.ac.at.ORCID 0000-0001-6305-3204
Zhang ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing, China. zhangzhang@big.ac.cn.ORCID 0000-0001-6603-5060

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32030021
6 · The paper itself

Abstract

Rice (Oryza sativa L.) endosperm is essential to provide nutrients for seed germination and determine grain yield. RNA editing, a post-transcriptional modification essential for plant development, unfortunately, is not fully characterized during rice endosperm development. Here, we perform systematic analyses to characterize RNA editome during rice endosperm development. We find that most editing sites are C-to-U CDS-recoding in mitochondria, leading to increased hydrophobic amino acids and changed structures of mitochondrial proteins. Comparative analysis of RNA editome reveals that CDS-recoding sites present higher editing frequencies with lower variabilities and their resultant recoded amino acids tend to exhibit stronger evolutionary conservation across many land plants. Furthermore, we classify mitochondrial genes into three groups, presenting distinct patterns in terms of CDS-recoding events. Besides, we conduct genome-wide screening to detect pentatricopeptide repeat (PPR) proteins and construct PPR-RNA binding profiles, yielding candidate PPR editing factors related to rice endosperm development. Taken together, our findings provide valuable insights for deciphering fundamental mechanisms of rice endosperm development underlying RNA editing machinery.

Indexed as

EndospermOryzaRNA EditingGene Expression Regulation, PlantMitochondriaPlant ProteinsRNA, PlantPlant ProteinsRNA, Plant

Identifiers

PMID39397073
PMCPMC11471866

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.