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Auxin response factors (ARFs) are the transcription factors that regulate auxin responses in various aspects of plant growth and development. Although genome-wide analysis of ARF gene family has been done in some species, no information is available regarding ARF genes in chickpea. In this study, we identified 28 ARF genes (CaARF) in the chickpea genome. Phylogenetic analysis revealed that CaARFs can be divided into four different groups. Duplication analysis revealed that 50% of CaARF genes arose from duplication events. We analyzed expression pattern of CaARFs in various developmental stages. CaARF16.3, CaARF17.1 and CaARF17.2 showed highest expression at initial stages of flower bud development, while CaARF6.2 had higher expression at later stages of flower development. Further, CaARF4.2, CaARF9.2, CaARF16.2 and CaARF7.1 exhibited differential expression under different abiotic stress conditions, suggesting their role in abiotic stress responses. Co-expression network analysis among CaARF, CaIAA and CaGH3 genes enabled us to recognize components involved in the regulatory network associated with CaARFs. Further, we identified microRNAs that target CaARFs and TAS3 locus that trigger production of trans-acting siRNAs targeting CaARFs. The analyses presented here provide comprehensive information on ARF family members and will help in elucidating their exact function in chickpea.
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http://dx.doi.org/10.1038/s41598-017-11327-5 | DOI Listing |
Brain Behav Immun
September 2025
Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Biomedical Research Networking Center for Rare Diseases (CIBERER), Barcelona 08003, Spain.
Treatment-resistant depression (TRD) is a severe condition characterized by chronic and recurrent depressive symptoms, leading to significant morbidity and a considerable socio-economic impact. Genetic and biological studies suggest that TRD is associated with distinct biological characteristics. In this study, we analysed whole-transcriptome differences in 293 patients with major depressive disorder (MDD) to compare TRD (N = 150) vs non-TRD (N = 143) cases.
View Article and Find Full Text PDFBiochem Biophys Res Commun
August 2025
Department of othopaedics, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China; International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Orthopedics, Tianjin Me
Programmed cell death (PCD), which describes cell death regulated by a sequence of gene expression events, strongly impacts the prognosis of spinal cord injury (SCI). Nevertheless, the connections between the various PCD types and the cross-linked genes regulate that these types of cell death in SCI remain unclear. This study sought to identify and investigate the key genes connections that regulated PCD in SCI.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Pharmacy, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China.
Background: Ankylosing spondylitis (AS), a chronic inflammatory disorder affecting axial joints, is frequently complicated by uveitis. However, the molecular mechanisms linking AS to secondary uveitis remain poorly understood.
Methods: We integrated transcriptomic datasets from AS (GSE73754) and uveitis (GSE194060) cohorts to identify shared molecular pathways.
Funct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFiScience
September 2025
Max Planck Institute of Psychiatry, 80804 Munich, Germany.
Isoform-specific expression patterns have been linked to stress-related psychiatric disorders such as major depressive disorder (MDD). To further explore their involvement, we constructed co-expression networks using total gene expression (TE) and isoform ratio (IR) data from affected ( = 210, 81% with depressive symptoms) and unaffected ( = 95) individuals. Networks were validated using advanced graph generation methods.
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