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        <datestamp>2026-10-01T16:22:15Z</datestamp>
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          <dc:title>Data for: Genome-wide analysis of the LRR-RLK genes in yerba mate (Ilex paraguariensis)</dc:title>
          <dc:creator>Patricia Aguilera (23921232)</dc:creator>
          <dc:creator>Mauro Grabiele (16030715)</dc:creator>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>tree crop</dc:subject>
          <dc:subject>enviromental challenges</dc:subject>
          <dc:subject>kinases</dc:subject>
          <dc:subject>stress genes</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Yerba mate is a significant crop for culture and industries across southern South America. However, increasing environmental challenges currently threaten its productivity, ecological stability, and socioeconomic role. We, therefore, focused on broadly characterize the LRR-RLK genes in yerba mate predicting their potential roles in development, growth, and stress response, providing a molecular basis for crop management. We identified 226 LRR-RLK genes (94.7% on 20 chromosomes), diverse in structural features, but displaying the typical protein domain arrangement (SP│LRR│TM│K). Phylogenetic analysis classified these genes into 25 distinct homology groups, consistent with Arabidopsis. Subsequent functional and regulatory analyses included gene ontology annotation, subcellular localization, promoter regions survey, and expression profiling. Most LRR-RLK genes were annotated to key processes such as transferase activity, signaling, development, reproduction, and defense response, and predicted primarily to the plasma membrane and chloroplast. Promoters mostly harbored binding sites for ten transcription factor families associated with diverse stresses, hormones, growth, and development. Near 59% of LRR-RLK genes exhibited expression levels suggesting a basal regulatory role. Furthermore, 96.1% of LRR-RLK genes were differentially expressed under conditions of plant disease, drought stress, and specific tissue comparison. These findings provide a comprehensive foundation for selecting candidate genes involved in stress adaptation.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T16:22:15Z</dc:date>
          <dc:type>Text</dc:type>
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          <dc:identifier>10.6084/m9.figshare.32306913.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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