AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
View PDF
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review Article | Open Access

Non-conventional peptides in plants: From gene regulation to crop improvement

Huan Chena,bJingjuan YubWen-Xue Lia( )
National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
Show Author Information

Abstract

Conventional peptides (CPs) and non-conventional peptides (NCPs) are generated from small open reading frames, but most CPs are derived from large precursors. NCPs, which are derived from sequences other than conventional open reading frames or annotated coding sequences regions, function in plant development and adaptation to stresses. Ribosome profiling, a technique for studying translational regulation, can be used to identify NCPs. Another new technique, peptidogenomics, which integrates mass spectrometry and genomics, is becoming more widely used for identifying plant NCPs. In recent years, numerous studies have investigated the roles in monocots and dicots of miRNA-derived peptides and upstream open reading frames, which have potential for improving agronomic traits. Investigating the biological functions of NCPs will advance molecular plant breeding by identifying regulators of plant growth and development. We present an overview of NCP identification methods and recent findings about NCP biological functions.

The Crop Journal
Pages 323-331
Cite this article:
Chen H, Yu J, Li W-X. Non-conventional peptides in plants: From gene regulation to crop improvement. The Crop Journal, 2023, 11(2): 323-331. https://doi.org/10.1016/j.cj.2022.10.006

214

Views

13

Downloads

1

Crossref

0

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 18 September 2022
Revised: 26 October 2022
Accepted: 26 October 2022
Published: 12 November 2022
© 2022 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return