2023
DOI: 10.1093/plphys/kiad058
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Arabidopsis AGAMOUS-LIKE16 and SUPPRESSOR OF CONSTANS1 regulate the genome-wide expression and flowering time

Abstract: Flowering transition is tightly coordinated by complex gene regulatory networks, in which AGAMOUS-LIKE 16 (AGL16) plays important roles. Here, we identified the molecular function and binding properties of AGL16 and demonstrated its partial dependency on SUPPRESSOR OF CONSTANS 1 (SOC1) function in regulating flowering. AGL16 bound to promoters of more than 2000 genes via CArG-box motifs with high similarity to that of SOC1 in Arabidopsis thaliana. Approximately seventy flowering genes involved in multiple path… Show more

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Cited by 5 publications
(3 citation statements)
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“…Total RNA isolation and quantitative reverse-transcription PCR (qRT–PCR) were performed as described previously ( Zhong et al., 2021 ; Dong et al., 2023 ). In brief, total RNA was isolated from shoots and leaves with TRI Reagent TR118 (MRC, USA) and from flowers and siliques with an OmniPlant RNA Kit (CWBio, China).…”
Section: Methodsmentioning
confidence: 99%
“…Total RNA isolation and quantitative reverse-transcription PCR (qRT–PCR) were performed as described previously ( Zhong et al., 2021 ; Dong et al., 2023 ). In brief, total RNA was isolated from shoots and leaves with TRI Reagent TR118 (MRC, USA) and from flowers and siliques with an OmniPlant RNA Kit (CWBio, China).…”
Section: Methodsmentioning
confidence: 99%
“…For strand‐specific cDNA library construction and Illumina sequencing, mRNAs were enriched with Oligo(dT) beads and broken into 200–300 nt short fragments in a fragmentation buffer as previously reported (Dong et al., 2023). The first‐ and second‐strands of cDNAs were synthesized using random hexamers.…”
Section: Methodsmentioning
confidence: 99%
“…The networks were visualized using Cytoscape (v.3.9.1). Candidate flowering time genes were identified according to Dong et al (Dong et al, 2023) and confirmed via phylogenetic clustering.…”
Section: Expression Clustering and Co-expression Network Reconstructionmentioning
confidence: 99%