A large-scale screening identifies receptor-like kinases with common features in kinase domains that are potentially related to disease resistance in planta

This study, on one hand, identifies common features that theoretically can enhance our understanding of immune-related RLKs and facilitate the discovery of novel immune-related RLKs in the future. On the other hand, it provides experimental evidence for the use of recombinant technique to develop diverse rRLKs for molecular breeding, thereby conferring high resistance to plants without compromising their normal growth and development.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-11-13
DOI
https://doi.org/10.3389/fpls.2024.1503773
Citations
3
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.98

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article

A large-scale screening identifies receptor-like kinases with common features in kinase domains that are potentially related to disease resistance in planta

Shiping Dai, Yi Cai, Yanli Lu, Xiangjian Gou et al.
3 citations
Frontiers in Plant Science
Plant Pathogens and Fungal Diseases
0.98
article

A large-scale screening identifies receptor-like kinases with common features in kinase domains that are potentially related to disease resistance in planta

Shiping Dai, Yi Cai, Yanli Lu, Xiangjian Gou, Rongqian Yang, Yaxi Liu, Yuan Yuan, Jinbo Shen, Jinya Guo, Yan Huang, Jun Zhou
article en
3 citations

Abstract

This study, on one hand, identifies common features that theoretically can enhance our understanding of immune-related RLKs and facilitate the discovery of novel immune-related RLKs in the future. On the other hand, it provides experimental evidence for the use of recombinant technique to develop diverse rRLKs for molecular breeding, thereby conferring high resistance to plants without compromising their normal growth and development.

Frontiers in Plant ScienceVol. 15
Zhejiang A & F University (CN), Sichuan Agricultural University (CN)
Chengdu Science and Technology Bureau, Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 25%
Plant Pathogens and Fungal Diseases
0.98
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