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September 18, 2025International Journal of Molecular Sciences2 citationsOpen Access

Genome-Wide Characterization and Expression Pattern Analysis Insights into Plant NBS-LRR Gene Family of Salvia miltiorrhiza

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LLLinglong LuoJWJian WangGCGuanghong Cui

Key Points

  • 196 nbs-lrr genes were identified in salvia miltiorrhiza, with 62 showing complete functionality and domains.
  • Phylogenetic analysis revealed distinct classifications among nbs-lrr proteins, highlighting reduced TNL and RNL members.
  • Comprehensive transcriptome data analysis provided expression patterns, linking nbs-lrr genes to secondary metabolism processes.
  • The study found numerous cis-acting elements in promoters related to plant hormones and abiotic stress responses.

Abstract

The NBS-LRR genes constitute the largest class of resistance (R) proteins in plants, capable of recognizing pathogen-secreted effectors to trigger immune responses. However, systematic studies of NBS-LRR genes in medicinal plants have not yet been reported. In this study, we performed a comprehensive genome-wide identification and analysis of the NBS-LRR gene family in the medicinal plant Salvia miltiorrhiza. A total of 196 NBS-LRR genes were identified, among which 62 possessed complete N-terminal and LRR domains. Multiple NBS-LRR proteins extracted from other model plants can be classified and distinguished on the phylogenetic tree according to subfamilies CNL, TNL, and RNL. Comparative analysis revealed a marked reduction in the number of TNL and RNL subfamily members within the Salvia species. Analysis of the expression patterns of SmNBS-LRR genes with transcriptomes data revealed a close association between SmNBS-LRRs and secondary metabolism. Promoter analysis demonstrated an abundance of cis-acting elements in SmNBS genes related to plant hormones and abiotic stress. Our study enhances the understanding of the NBS-LRR gene family in medicinal plants and provides a foundation for future functional characterization of the NBS-LRR genes in S. miltiorrhiza and its potential application in disease-resistance breeding.

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Cite This Study

Luo et al. (2025) studied this question.

synapsesocial.com/papers/68d463e931b076d99fa634d3https://doi.org/10.3390/ijms26189063
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