2015
DOI: 10.1016/j.gene.2015.06.050
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Discovery of precursor and mature microRNAs and their putative gene targets using high-throughput sequencing in pineapple (Ananas comosus var. comosus)

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Cited by 19 publications
(12 citation statements)
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“…A characteristic of miR444 in grasses is its genomic antisense configuration relative to the target gene (Lu et al, 2008); we observed the same configuration in pineapple, indicating that this arrangement may reflect its ancestral state and even its evolutionary origins (Supplemental Figure 7). miR530 and miR1432 were also described previously in pineapple (Md Yusuf et al, 2015), and we also found that they were detected in other sister species within the commelinids, but not earlier in the monocots. Therefore, our analysis of annotated miRNAs demonstrated a combination of patterns of conservation and divergence within the monocots, with at least three monocot-specific miRNAs that emerged coincident with the commelinids.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…A characteristic of miR444 in grasses is its genomic antisense configuration relative to the target gene (Lu et al, 2008); we observed the same configuration in pineapple, indicating that this arrangement may reflect its ancestral state and even its evolutionary origins (Supplemental Figure 7). miR530 and miR1432 were also described previously in pineapple (Md Yusuf et al, 2015), and we also found that they were detected in other sister species within the commelinids, but not earlier in the monocots. Therefore, our analysis of annotated miRNAs demonstrated a combination of patterns of conservation and divergence within the monocots, with at least three monocot-specific miRNAs that emerged coincident with the commelinids.…”
Section: Resultssupporting
confidence: 87%
“…We next examined the set of monocot-specific miRNAs represented by miR444, miR530, and miR1432. miR444 has been previously characterized in several grass species (Lu et al, 2008), and it was identified without further analysis in pineapple (Md Yusuf et al, 2015). We found miR444 in several other monocots including the palms, but no earlier diverging lineages ( Figure 3B ).…”
Section: Resultsmentioning
confidence: 99%
“…The raw data produced by Illumina sequencing were analyzed as previously described (Yusuf et al, 2015). After removing the adapter sequences and low-quality reads, unique reads of 18-25 nt were used for further analysis.…”
Section: Analysis Of Mirna High-throughput Sequencing Datamentioning
confidence: 99%
“…The raw data generated by Illumina sequencing were analyzed as previously described [25]. The expression abundance of each unique miRNA for each library was normalized to obtain the expression of the transcript per million using the following formula: normalized expression ¼ actual miRNA count/total count of clean reads  1,000,000 [26].…”
Section: Preparation Of Partial Hepatectomy Modelmentioning
confidence: 99%