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8 publications mentioning sbi-MIR156e

Open access articles that are associated with the species Sorghum bicolor and mention the gene name MIR156e. Click the [+] symbols to view sentences that include the gene name, or the word cloud on the right for a summary.

1
[+] score: 18
Further, in silico analysis for the presence of miRNA targets revealed presence of miR156, miR164, miR397, miR528, miR5566, and miR6230 target sites in 10 independent cell wall related genes (Supplementary Table 4). [score:5]
Further, Yu et al. (2015) reported miR164 and miR528 as stem specific miRNA whereas miR156 was up-regulated in the leaves at dough stage. [score:4]
miR156, miR164, and miR528 have been reported to be differentially expressed in stem and leaves during sugar accumulation in sweet sorghum (Yu et al., 2015). [score:3]
Six different miRNA families (miR156, miR164, miR397, miR528, miR5566, and miR6230) were identified to target these cell wall related genes. [score:3]
Over-expressed miR156 has been reported to cause the Corngrass1 (Cg1) phenotype in maize (Chuck et al., 2007). [score:3]
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2
[+] score: 11
For example, miR156 and miR529 were predicted to target genes that encode SBP-box transcription factors [58- 60], and miR164, miR169, miR171, miR172 and miR319 were reported to target No Apical Meristem (NAM) [61, 62], CCAAT -binding factor (CBF) [63, 64], GRAS transcription factor [65], APETALA2 Ethylene-Responsive Element Binding Proteins (AP2-EREBP) [66, 67] and Teosinite branched, Cycloidea, and PCF (TCP) [68, 69], respectively. [score:5]
We noted that the sit-miR156, sit-miR164, sit-miR166, sit-miR167 and sit-miR172 families showed relatively higher expression (slightly over 1,000 RPM, on average) in one or more of the four tissues. [score:3]
For example, the expression levels of sit-miR156, sit-miR164, sit-miR166 and sit-miR167 were comparatively very high, and sit-miR160, sit-miR319, sit-miR390 and sit-miR394 were comparatively very low, in agreement with similar findings in other plants [21, 22, 80]. [score:3]
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3
[+] score: 9
Other miRNAs from this paper: sbi-MIR166d, sbi-MIR166c, sbi-MIR166b, sbi-MIR166a, sbi-MIR172a, sbi-MIR156a, sbi-MIR156c, sbi-MIR156b, sbi-MIR160d, sbi-MIR160a, sbi-MIR160c, sbi-MIR160b, sbi-MIR160e, sbi-MIR164a, sbi-MIR167a, sbi-MIR167b, sbi-MIR169b, sbi-MIR169a, sbi-MIR395b, sbi-MIR395a, sbi-MIR395d, sbi-MIR395e, sbi-MIR396b, sbi-MIR396a, sbi-MIR396c, sbi-MIR399a, sbi-MIR399c, sbi-MIR399d, sbi-MIR399e, sbi-MIR399f, sbi-MIR399b, sbi-MIR399g, sbi-MIR156d, sbi-MIR164b, sbi-MIR166e, sbi-MIR167d, sbi-MIR167f, sbi-MIR167g, sbi-MIR167e, sbi-MIR167c, sbi-MIR169c, sbi-MIR169d, sbi-MIR169f, sbi-MIR169g, sbi-MIR169i, sbi-MIR171b, sbi-MIR171d, sbi-MIR171a, sbi-MIR171c, sbi-MIR166f, sbi-MIR171e, sbi-MIR319a, sbi-MIR399h, sbi-MIR399i, sbi-MIR164c, sbi-MIR166g, sbi-MIR171f, sbi-MIR395f, sbi-MIR156f, sbi-MIR156g, sbi-MIR156h, sbi-MIR156i, sbi-MIR160f, sbi-MIR164d, sbi-MIR164e, sbi-MIR166h, sbi-MIR166i, sbi-MIR166j, sbi-MIR166k, sbi-MIR167h, sbi-MIR167i, sbi-MIR169e, sbi-MIR169h, sbi-MIR169j, sbi-MIR169k, sbi-MIR169l, sbi-MIR169m, sbi-MIR169n, sbi-MIR171g, sbi-MIR171h, sbi-MIR171i, sbi-MIR171j, sbi-MIR171k, sbi-MIR390, sbi-MIR395c, sbi-MIR395g, sbi-MIR395h, sbi-MIR395i, sbi-MIR395j, sbi-MIR395k, sbi-MIR395l, sbi-MIR396d, sbi-MIR396e, sbi-MIR399j, sbi-MIR437a, sbi-MIR437b, sbi-MIR437c, sbi-MIR437d, sbi-MIR437e, sbi-MIR437f, sbi-MIR437g, sbi-MIR437i, sbi-MIR437j, sbi-MIR437k, sbi-MIR437l, sbi-MIR437m, sbi-MIR437n, sbi-MIR437o, sbi-MIR437p, sbi-MIR437q, sbi-MIR437r, sbi-MIR437s, sbi-MIR437t, sbi-MIR437u, sbi-MIR437v, sbi-MIR437w, sbi-MIR529, sbi-MIR169o, sbi-MIR169p, sbi-MIR169q, sbi-MIR398, sbi-MIR399k, sbi-MIR5385, sbi-MIR5567, sbi-MIR5568a, sbi-MIR5568g, sbi-MIR5568b, sbi-MIR5568c, sbi-MIR6220, sbi-MIR437x, sbi-MIR6221, sbi-MIR6225, sbi-MIR5568d, sbi-MIR6230, sbi-MIR5568e, sbi-MIR5568f
While one member of miR156 family known as miR156b was induced by drought stress, while another member miR156a was significantly down-regulated in drought sensitive genotype. [score:4]
For instance, all members from the sbi-miR156 and sbi-miR160 family targeted to SBP and auxin response factor (ARF), respectively. [score:3]
For instance, in our study, miR156 and miR164 families showed clear evidence for functional diversification. [score:1]
The miR166, miR167, miR156, and miR399 are the largest miRNA families with 11, 10, 8, and 7 members, respectively, in sorghum. [score:1]
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4
[+] score: 5
Lastly, a number of genes involved in phase change and the regulation of the length of the vegetative growth phase were also identified (SPL9, SPL11, miR156), suggesting that phase change and flowering time are intimately connected. [score:2]
96: 31– 36 Wang J. W. Czech B. Weigel D., 2009  miR156-regulated SPL transcription factors define an endogenous flowering pathway in Arabidopsis thaliana. [score:2]
Phase change genes such as SQUAMOSA PROMOTER BINDING PROTEIN-LIKE 9 (SPL9) and SQUAMOSA PROMOTER BINDING PROTEIN-LIKE 11 (SPL11), and the microRNA miR156 were also identified as candidates for differences in flowering time. [score:1]
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5
[+] score: 4
Negative regulation of anthocyanin biosynthesis in Arabidopsis by a miR156 -targeted SPL transcription factor. [score:4]
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6
[+] score: 4
The highly conserved miR156 was used as an internal control. [score:1]
We have chosen one miRNA poorly conserved (miR408), one highly conserved among plant species (miR156), and four potential monocot-specific miRNAs (miR444, miR528, miR1128, and miR1432). [score:1]
Transcripts of miR408 accumulate at high levels in all organs/tissues but lateral buds, while miR156 accumulates at higher levels only in leaf blade tissues. [score:1]
For example, the SsMIR156b/c (Table 1) was previously annotated as a single stem-loop MIR156 precursor (miRbase v. 14). [score:1]
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7
[+] score: 1
Sixteen miRNA families were shown to be putatively present on chromosome 5A: two of them (miR164 and miR167) were found only in the short arm, three families (miR156, miR399 and miR2118) were found only in the long arm, while the remaining eleven families were found in both arms (Table 3). [score:1]
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8
[+] score: 1
A candidate gene for the Br5a QTL region is corngrass1, which in maize encodes two tandem miR156 genes, and where the mutant produces tillers in the axil of each leaf [92], while for H5a a candidate gene is SHOOTLESS2, a gene involved in initiation and maintenance of the shoot apical meristem [93]. [score:1]
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