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植物中分泌型小蛋白的发现与功能分析进展及展望

Advances and perspectives in discovery and functional analysis of small secreted proteins in plants.

作者信息

Hu Xiao-Li, Lu Haiwei, Hassan Md Mahmudul, Zhang Jin, Yuan Guoliang, Abraham Paul E, Shrestha Him K, Villalobos Solis Manuel I, Chen Jin-Gui, Tschaplinski Timothy J, Doktycz Mitchel J, Tuskan Gerald A, Cheng Zong-Ming Max, Yang Xiaohan

机构信息

Department of Plant Sciences, University of Tennessee, Knoxville, TN, USA.

Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.

出版信息

Hortic Res. 2021 Jun 1;8(1):130. doi: 10.1038/s41438-021-00570-7.

DOI:10.1038/s41438-021-00570-7
PMID:34059650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8167165/
Abstract

Small secreted proteins (SSPs) are less than 250 amino acids in length and are actively transported out of cells through conventional protein secretion pathways or unconventional protein secretion pathways. In plants, SSPs have been found to play important roles in various processes, including plant growth and development, plant response to abiotic and biotic stresses, and beneficial plant-microbe interactions. Over the past 10 years, substantial progress has been made in the identification and functional characterization of SSPs in several plant species relevant to agriculture, bioenergy, and horticulture. Yet, there are potentially a lot of SSPs that have not been discovered in plant genomes, which is largely due to limitations of existing computational algorithms. Recent advances in genomics, transcriptomics, and proteomics research, as well as the development of new computational algorithms based on machine learning, provide unprecedented capabilities for genome-wide discovery of novel SSPs in plants. In this review, we summarize known SSPs and their functions in various plant species. Then we provide an update on the computational and experimental approaches that can be used to discover new SSPs. Finally, we discuss strategies for elucidating the biological functions of SSPs in plants.

摘要

小分泌蛋白(SSPs)长度小于250个氨基酸,通过传统蛋白质分泌途径或非传统蛋白质分泌途径被主动转运出细胞。在植物中,已发现SSPs在各种过程中发挥重要作用,包括植物生长发育、植物对非生物和生物胁迫的响应以及有益的植物 - 微生物相互作用。在过去十年中,在与农业、生物能源和园艺相关的几种植物物种中,SSPs的鉴定和功能表征取得了实质性进展。然而,植物基因组中可能仍有许多未被发现的SSPs,这在很大程度上归因于现有计算算法的局限性。基因组学、转录组学和蛋白质组学研究的最新进展,以及基于机器学习的新计算算法的开发,为在植物中进行全基因组范围内发现新的SSPs提供了前所未有的能力。在本综述中,我们总结了各种植物物种中已知的SSPs及其功能。然后,我们介绍了可用于发现新SSPs的计算和实验方法的最新情况。最后,我们讨论了阐明植物中SSPs生物学功能的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/4a319ee2b0a3/41438_2021_570_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/265f4add2e66/41438_2021_570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/da3f5e550e8d/41438_2021_570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/13dcb2e20cea/41438_2021_570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/9ef5e8cf2564/41438_2021_570_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/f94c7f7341f5/41438_2021_570_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/4a319ee2b0a3/41438_2021_570_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/265f4add2e66/41438_2021_570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/da3f5e550e8d/41438_2021_570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/13dcb2e20cea/41438_2021_570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/9ef5e8cf2564/41438_2021_570_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/f94c7f7341f5/41438_2021_570_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f852/8167165/4a319ee2b0a3/41438_2021_570_Fig6_HTML.jpg

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