ArticleBMC genomics2017
Comprehensive genomic analysis of the CNGC gene family in Brassica oleracea: novel insights into synteny, structures, and transcript profiles.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
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- Genome-Wide Identification and Expression Analysis of the Cyclic Nucleotide-Gated Channel Gene Family inInternational journal of molecular sciences · 2024Article
- Glutamate Receptor-like (GLR) Family inInternational journal of molecular sciences · 2024Article
- Transcriptome profiling of Bergenia purpurascens under cold stress.BMC genomics · 2023Article
- Genome-Wide Exploration and Expression Analysis of the CNGC Gene Family in Eggplant (International journal of molecular sciences · 2023Article
- Genome-wide identification and expression analysis of the cyclic nucleotide-gated ion channel (CNGC) gene family in Saccharum spontaneum.BMC genomics · 2023Article
- Identification ofBiology · 2023Article
- Genome-Wide Identification, Characterization and Experimental Expression Analysis of CNGC Gene Family inInternational journal of molecular sciences · 2023Article
- Genome-Wide Analysis of Cyclic Nucleotide-Gated Channel Genes Related to Pollen Development in Rice.Plants (Basel, Switzerland) · 2022Article
- Systematic analysis of CNGCs in cotton and the positive role of GhCNGC32 and GhCNGC35 in salt tolerance.BMC genomics · 2022Article
- Identification and Characterization of Abiotic Stress-Responsive NF-YB Family Genes inInternational journal of molecular sciences · 2022Article
- Dynamic Expression, Differential Regulation and Functional Diversity of the CNGC Family Genes in Cotton.International journal of molecular sciences · 2022Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThe cyclic nucleotide-gated ion channel (CNGC) family affects the uptake of cations, growth, pathogen defence, and thermotolerance in plants. However, the systematic identification, origin and function of this gene family has not been performed in Brassica oleracea, an important vegetable crop and genomic model organism.
resultsIn present study, we identified 26 CNGC genes in B. oleracea genome, which are non-randomly localized on eight chromosomes, and classified into four major (I-IV) and two sub-groups (i.e., IV-a and IV-b). The BoCNGC family is asymmetrically fractioned into the following three sub-genomes: least fractionated (14 genes), most fractionated-I (10), and most fractionated-II (2). The syntenic map of BoCNGC genes exhibited strong relationships with the model Arabidopsis thaliana and B. rapa CNGC genes and provided markers for defining the regions of conserved synteny among the three genomes. Both whole-genome triplication along with segmental and tandem duplications contributed to the expansion of this gene family. We predicted the characteristics of BoCNGCs regarding exon-intron organisations, motif compositions and post-translational modifications, which diversified their structures and functions. Using orthologous Arabidopsis CNGCs as a reference, we found that most CNGCs were associated with various protein-protein interaction networks involving CNGCs and other signalling and stress related proteins. We revealed that five microRNAs (i.e., bol-miR5021, bol-miR838d, bol-miR414b, bol-miR4234, and bol-miR_new2) have target sites in nine BoCNGC genes. The BoCNGC genes were differentially expressed in seven B. oleracea tissues including leaf, stem, callus, silique, bud, root and flower. The transcript abundance levels quantified by qRT-PCR assays revealed that BoCNGC genes from phylogenetic Groups I and IV were particularly sensitive to cold stress and infections with bacterial pathogen Xanthomonas campestris pv. campestris, suggesting their importance in abiotic and biotic stress responses.
conclusionOur comprehensive genome-wide analysis represents a rich data resource for studying new plant gene families. Our data may also be useful for breeding new B. oleracea cultivars with improved productivity, quality, and stress resistance.
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