ArticleBMC plant biology2024
WRKY transcription factors modulate flowering time in four Arachis species: a bioinformatics analysis.
Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Identification of AhFPA1 as the causal gene underlying qEFT13.1, a key QTL for early flowering in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Soybean GmWRKY44 transcription factor activates SOC1 and LFY to promote flowering in Arabidopsis thaliana.Plant cell reports · 2025Article
- New crops on the block: effective strategies to broaden our food, fibre, and fuel repertoire in the face of increasingly volatile agricultural systems.Journal of experimental botany · 2025Review
- Transcriptomic Analysis of Wheat Under Multi LED Light Conditions.Plants (Basel, Switzerland) · 2024Article
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5 authors.
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Abstract
backgroundWRKY proteins are important transcription factors (TFs) in plants, involved in growth and development and responses to environmental changes. Although WRKY TFs have been studied at the genome level in Arachis genus, including oil crop and turfgrass, their regulatory networks in controlling flowering time remain unclear. The aim of this study was to predict the molecular mechanisms of WRKY TFs regulation flowering time in Arachis genus at the genome level using bioinformatics approaches.
resultsThe flowering-time genes of Arachis genus were retrieved from the flowering-time gene database. The regulatory networks between WRKY TFs and downstream genes in Arachis genus were predicted using bioinformatics tools. The results showed that WRKY TFs were involved in aging, autonomous, circadian clock, hormone, photoperiod, sugar, temperature, and vernalization pathways to modulate flowering time in Arachis duranensis, Arachis ipaensis, Arachis monticola, and Arachis hypogaea cv. Tifrunner. The WRKY TF binding sites in homologous flowering-time genes exhibited asymmetric evolutionary pattern, indicating that the WRKY TFs interact with other transcription factors to modulate flowering time in the four Arachis species. Protein interaction network analysis showed that WRKY TFs interacted with FRUITFULL and APETALA2 to modulate flowering time in the four Arachis species. WRKY TFs implicated in regulating flowering time had low expression levels, whereas their interaction proteins had varying expression patterns in 22 tissues of A. hypogaea cv. Tifrunner. These results indicate that WRKY TFs exhibit antagonistic or synergistic interactions with the associated proteins.
conclusionsThis study reveals complex regulatory networks through which WRKY TFs modulate flowering time in the four Arachis species using bioinformatics approaches.
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