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An approach to identify the novel miRNA encoded from H. Annuus EST sequences.

Gupta H, Tiwari T, Patel M, Mehta A, Ghosh A - Genom Data (2015)

Bottom Line: A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria.To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out.These findings will significantly provide the broader picture for understanding the functions in H. annuus.

View Article: PubMed Central - PubMed

Affiliation: Xcelris Labs Ltd., Ahmedabad, Gujarat, India.

ABSTRACT
MicroRNAs are a newly discovered class of non-protein small RNAs with 22-24 nucleotides. They play multiple roles in biological processes including development, cell proliferation, apoptosis, stress responses and many other cell functions. In this research, several approaches were combined to make a computational prediction of potential miRNAs and their targets in Helianthus annuus (H. annuus). The already available information of the plant miRNAs present in miRBase v21 was used against expressed sequence tags (ESTs). A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria. The target prediction was carried out for these three miRNAs having various targets. These targets were functionally annotated and GO terms were assigned. To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out. These findings will significantly provide the broader picture for understanding the functions in H. annuus.

No MeSH data available.


Related in: MedlinePlus

Phylogenetic analysis of pre-miRNAs sequences in different families.
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f0020: Phylogenetic analysis of pre-miRNAs sequences in different families.

Mentions: The conserved nature of the plant miRNAs, at precursor levels among the distantly related plants was studied using MEGA 6 and a phylogenetic tree was generated as represented in Fig. 4. These results suggested that different miRNAs might evolve at different rates not only within the same plant species, but also in different ones. han-miR396 showed an unrelated evolutionary relationship with other miRNAs.


An approach to identify the novel miRNA encoded from H. Annuus EST sequences.

Gupta H, Tiwari T, Patel M, Mehta A, Ghosh A - Genom Data (2015)

Phylogenetic analysis of pre-miRNAs sequences in different families.
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4664742&req=5

f0020: Phylogenetic analysis of pre-miRNAs sequences in different families.
Mentions: The conserved nature of the plant miRNAs, at precursor levels among the distantly related plants was studied using MEGA 6 and a phylogenetic tree was generated as represented in Fig. 4. These results suggested that different miRNAs might evolve at different rates not only within the same plant species, but also in different ones. han-miR396 showed an unrelated evolutionary relationship with other miRNAs.

Bottom Line: A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria.To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out.These findings will significantly provide the broader picture for understanding the functions in H. annuus.

View Article: PubMed Central - PubMed

Affiliation: Xcelris Labs Ltd., Ahmedabad, Gujarat, India.

ABSTRACT
MicroRNAs are a newly discovered class of non-protein small RNAs with 22-24 nucleotides. They play multiple roles in biological processes including development, cell proliferation, apoptosis, stress responses and many other cell functions. In this research, several approaches were combined to make a computational prediction of potential miRNAs and their targets in Helianthus annuus (H. annuus). The already available information of the plant miRNAs present in miRBase v21 was used against expressed sequence tags (ESTs). A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria. The target prediction was carried out for these three miRNAs having various targets. These targets were functionally annotated and GO terms were assigned. To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out. These findings will significantly provide the broader picture for understanding the functions in H. annuus.

No MeSH data available.


Related in: MedlinePlus