2022
DOI: 10.1007/s12298-022-01216-1
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Identification and expression analysis of the MADS-box genes of Kentucky bluegrass during inflorescence development

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Cited by 2 publications
(2 citation statements)
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“…OsMADS57 inhibits the expression of the OsD14 gene by combining the cArG motif of the promoter, thus increasing rice tillering [61], indicating that MADS can affect the tillering of gramineae through SL. Our research team identified the PpMADS gene [62] during inflorescence development through transcriptome in the early stage, and can further study the regulation mechanism of SL on tillering of Kentucky bluegrass by starting with MADS gene in the later stage. The above-mentioned tillering-related genes play different roles in the process of tillering formation, including genes that directly affect the formation of tillering buds and indirectly regulate tillering buds through genes that affect hormone synthesis.…”
Section: Relationship Between Sl and Related Gene Expression And Till...mentioning
confidence: 99%
“…OsMADS57 inhibits the expression of the OsD14 gene by combining the cArG motif of the promoter, thus increasing rice tillering [61], indicating that MADS can affect the tillering of gramineae through SL. Our research team identified the PpMADS gene [62] during inflorescence development through transcriptome in the early stage, and can further study the regulation mechanism of SL on tillering of Kentucky bluegrass by starting with MADS gene in the later stage. The above-mentioned tillering-related genes play different roles in the process of tillering formation, including genes that directly affect the formation of tillering buds and indirectly regulate tillering buds through genes that affect hormone synthesis.…”
Section: Relationship Between Sl and Related Gene Expression And Till...mentioning
confidence: 99%
“…Among these, the MIKC C MADS-box factors have emerged as the most extensively researched, exhibiting a well-defined mechanism. MIKC C MADS-box factors can be classified into 12 subfamilies: AG-like, AGL2-like, AGL6-like, AGL12-like, AGL15-like, AGL17-like, DEF/GLO-like, FLC-like, GGM13-like, SQUA-like, STMADS11-like, and TM3-like [2].…”
Section: Introductionmentioning
confidence: 99%