首页|Curation,nomenclature,and topological classification of receptor-like kinases from 528 plant species for novel domain discovery and functional inference

Curation,nomenclature,and topological classification of receptor-like kinases from 528 plant species for novel domain discovery and functional inference

扫码查看
Receptor-like kinases(RLKs)are the most numerous signal transduction components in plants and play important roles in determining how different plants adapt to their ecological environments.Research on RLKs has focused mainly on a small number of typical RLK members in a few model plants.There is an ur-gent need to study the composition,distribution,and evolution of RLKs at the holistic level to increase our understanding of how RLKs assist in the ecological adaptations of different plant species.In this study,we collected the genome assemblies of 528 plant species and constructed an RLK dataset.Using this dataset,we identified and characterized 524 948 RLK family members.Each member underwent systematic topo-logical classification and was assigned a gene ID based on a unified nomenclature system.Furthermore,we identified two novel extracellular domains in some RLKs,designated Xiao and Xiang.Evolutionary anal-ysis of the RLK family revealed that the RLCK-ⅩⅦ and RLCK-Ⅻ-2 classes were present exclusively in di-cots,suggesting that diversification of RLKs between monocots and dicots may have led to differences in downstream cytoplasmic responses.We also used an interaction proteome to help empower data mining for inference of new RLK functions from a global perspective,with the ultimate goal of understanding how RLKs shape the adaptation of different plants to the environments/ecosystems.The assembled RLK data-set,together with annotations and analytical tools,forms an integrated foundation of multiomics data that is publicly accessible via the metaRLK web portal(http://metaRLK.biocloud.top).

RLKRLCKdomainsignaling pathwayreceptor-protein interactions

Qian Liu、Qiong Fu、Yujie Yan、Qian Jiang、Longfei Mao、Long Wang、Feng Yu、Heping Zheng

展开 >

State Key Laboratory of Chemo/Biosensing and Chemometrics,Hunan University College of Biology,Changsha,Hunan 410082,China

Bioinformatics Center,Hunan University College of Biology,Changsha,Hunan 410082,China

startup funds provided by Hunan University,a database development fund provided by Suzhou Tributary Biologics Co.Ltd国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金Science and Technology Innovation Program of Hunan ProvinceScience and Technology Innovation Program of Hunan ProvinceScience and Technology Innovation Program of Hunan ProvinceScience and Technology Innovation Program of Hunan Province

2023YFD14011003207076932370757322017122021JJ100152021JJ301012023JJ401312023ZJ1080

2024

分子植物(英文版)
中科院上海生命科学研究院植物生理生态所 中国植物生理学会

分子植物(英文版)

CSTPCD
影响因子:0.659
ISSN:1674-2052
年,卷(期):2024.17(4)