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4 publications mentioning sbi-MIR395l

Open access articles that are associated with the species Sorghum bicolor and mention the gene name MIR395l. Click the [+] symbols to view sentences that include the gene name, or the word cloud on the right for a summary.

1
[+] score: 74
Other miRNAs from this paper: zma-MIR160a, zma-MIR160c, zma-MIR160d, zma-MIR160b, zma-MIR164a, zma-MIR164d, zma-MIR164b, zma-MIR164c, zma-MIR169a, zma-MIR169b, zma-MIR160e, zma-MIR172a, zma-MIR172d, zma-MIR172b, zma-MIR172c, sbi-MIR172b, sbi-MIR172c, sbi-MIR172a, sbi-MIR160d, sbi-MIR160a, sbi-MIR160c, sbi-MIR160b, sbi-MIR160e, sbi-MIR164a, sbi-MIR169b, sbi-MIR169a, sbi-MIR395b, sbi-MIR395a, sbi-MIR395d, sbi-MIR395e, sbi-MIR164b, sbi-MIR169c, sbi-MIR169d, sbi-MIR169f, sbi-MIR169g, sbi-MIR169i, sbi-MIR172e, sbi-MIR319a, zma-MIR395b, zma-MIR395c, zma-MIR395a, zma-MIR319a, zma-MIR319c, zma-MIR319b, zma-MIR319d, zma-MIR169c, zma-MIR169f, zma-MIR169g, zma-MIR169h, zma-MIR169i, zma-MIR169k, zma-MIR169j, zma-MIR169d, zma-MIR169e, zma-MIR172e, zma-MIR160f, sbi-MIR164c, sbi-MIR395f, sbi-MIR160f, sbi-MIR164d, sbi-MIR164e, sbi-MIR169e, sbi-MIR169h, sbi-MIR169j, sbi-MIR169k, sbi-MIR169l, sbi-MIR169m, sbi-MIR169n, sbi-MIR172d, sbi-MIR319b, sbi-MIR395c, sbi-MIR395g, sbi-MIR395h, sbi-MIR395i, sbi-MIR395j, sbi-MIR395k, sbi-MIR437g, zma-MIR160g, zma-MIR164e, zma-MIR164f, zma-MIR164g, zma-MIR164h, zma-MIR169l, zma-MIR169m, zma-MIR169n, zma-MIR169o, zma-MIR169p, zma-MIR169q, zma-MIR169r, zma-MIR395d, zma-MIR395e, zma-MIR395f, zma-MIR395g, zma-MIR395h, zma-MIR395i, zma-MIR395j, zma-MIR395k, zma-MIR395l, zma-MIR395m, zma-MIR395n, zma-MIR395o, zma-MIR395p, sbi-MIR169o, sbi-MIR169p, sbi-MIR169q, sbi-MIR172f, sbi-MIR5381, sbi-MIR5382, sbi-MIR5383, sbi-MIR5384, sbi-MIR5385, sbi-MIR5386, sbi-MIR5387a, sbi-MIR5388, sbi-MIR5389, sbi-MIR5387b
In summary, high expression of miR172 in BTx623 correlated with early flowering in the F2, whereas the opposite was true for miR395, high expression of this miRNA in Rio correlated with late flowering in the F2 plants selected. [score:5]
The FRL2 and RR3 genes are novel targets of miR172Although our data might suggest a possible function of miR169 in sugar content and miR395 in flowering time, we could not detect any predicted target related to carbohydrate metabolism and flowering time respectively (Additional file 3, Table S3 and Additional file 4, Figure S1). [score:5]
We found that variation in miR172 and miR395 expression correlated with flowering time whereas variation in miR169 expression correlated with sugar content in stems. [score:5]
Thus, the expression of miR169 and miR395 target genes, and their correlation with Brix and flowering phenotypes remains to be elucidated. [score:5]
In the case of miR395, it is interesting to note that there was genotypic variation in the miR395/miR395* ratio, with the Rio genotype expressing both strands at equal proportions in contrast to a clear predominance of miR395 abundance over miR395* in BTx623 (Figure 4b). [score:3]
Interestingly, genotypic differences in the ratio of miR395 to miR395* were identified, with miR395* species expressed as abundantly as miR395 in sweet sorghum but not in grain sorghum. [score:3]
Although the expression difference of miR160, miR164 and miR319 between BTx623 and Rio was inherited in the F2, and thus of interest for further analysis, it was less than two fold; so we decided to focus on miR169, miR172 and miR395 instead. [score:3]
Figure S1 displays an alignment between miR169, miR172 and miR395 microRNAs and their target sequences. [score:3]
Predicted targets of miR169, miR172, and miR395. [score:3]
This might indicate that high expression of miR395 would be required for flowering regardless of sugar content in the stem. [score:3]
This means that high expression of these miRNAs in BTx623 correlated with low Brix and early flowering in the F2 plants selected, and the opposite was true for miR395 (Figure 3c). [score:3]
Table S3 provides a list of predicted target genes of miR169, miR172, and miR395. [score:3]
Targets of predicted for miR169, miR172 and miR395 microRNAs. [score:3]
The opposite was true for miR395 expression. [score:3]
Click here for file Targets of predicted for miR169, miR172 and miR395 microRNAs. [score:3]
Although our data might suggest a possible function of miR169 in sugar content and miR395 in flowering time, we could not detect any predicted target related to carbohydrate metabolism and flowering time respectively (Additional file 3, Table S3 and Additional file 4, Figure S1). [score:3]
Click here for file Predicted targets of miR169, miR172, and miR395. [score:3]
We detected the expression of the miRNA* for all MIR395 gene copies and this was more evident in Rio compared to BTx623, and in some instances the abundance of miR395* was even higher than that of miR395 such as the case of miR395l* for instance (Figure 4a). [score:2]
First, does miR395* have any regulatory potential? [score:2]
Based on miR395* high abundance in Rio, we postulate here the hypothesis that miR395* species could have a functional role in the regulation biological processes other than the sulfur metabolism previously described for miR395. [score:2]
Figure 4 miR395* is highly abundant in Rio. [score:1]
Although miR169 and miR395 have known roles in drought stress and sulphur starvation, respectively [37, 38], our data suggested a possible function for these miRNAs in sugar accumulation and flowering time. [score:1]
Our data highlighted a genotypic difference in the ratio between miR395 and miR395*, with a switch in strand abundance from BTx623 to Rio (Figure 4b). [score:1]
By contrast, the abundance of miR395 relative to miR395* was in equal proportions in the Rio library. [score:1]
Genotypic variation in the miR395/miR395* ratio. [score:1]
In the BTx623 library, only reads derived from miR395l were detected whereas in the Rio library, most of the reads where derived from miR395l* instead. [score:1]
Future work will be required to provide a better understanding of miR395's involvement in processes other than its previously described role in sulfur metabolism. [score:1]
Second, what is the mechanism behind the genotypic difference in miR395/miR395* ratio? [score:1]
The miR395l strand sequence is shown in red whereas the miR395l* strand sequence is in orange color. [score:1]
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2
[+] score: 3
In our samples, the following miRNA families showed distinct expression patterns: miR529 is barely detected in roots; miR319 is practically absent in leaves; miR395 and miR397 are practically absent in flowers; miR398 and miR399 are detected only in shoots; and miR2118 is barely detectable in any of the four tissues. [score:3]
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3
[+] score: 1
This was observed in a previous study on tandem duplicated paralogs of miR395 in rice and miR168 in Brassicaceae [34], [35]. [score:1]
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4
[+] score: 1
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-MIR156e, 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-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
In the present study, we found monocot abundant miR156g-h, miR166c-i, miR167f-j, miR169b, miR171a-b, miR172a-c, miR319a-b, miR395, miR396a, miR437, miR529, miR2118a-b, miR2118d, miR2118e, miR2275, miR5385, and miR6221 (denoted with the symbol “@” in Table 2) which were not previously reported in sorghum. [score:1]
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