-
Something wrong with this record ?
Computational exploration of microRNAs from expressed sequence tags of Humulus lupulus, target predictions and expression analysis
AK. Mishra, GS. Duraisamy, A. Týcová, J. Matoušek,
Language English Country England, Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Databases, Genetic MeSH
- Expressed Sequence Tags * MeSH
- Gene Regulatory Networks genetics MeSH
- Humulus genetics MeSH
- MicroRNAs genetics MeSH
- Reverse Transcriptase Polymerase Chain Reaction MeSH
- Gene Expression Regulation, Plant genetics MeSH
- Genes, Plant genetics MeSH
- Software * MeSH
- Gene Expression Profiling MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental-in silico computational based approach was adopted for the identification and characterization of miRNAs in Humulus lupulus (hop), which is widely cultivated for use by the brewing industry and apart from, used as a medicinal herb. A total of 22 miRNAs belonging to 17 miRNA families were identified in hop following comparative computational approach and EST-based homology search according to a series of filtering criteria. Selected miRNAs were validated by end-point PCR and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), confirmed the existence of conserved miRNAs in hop. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 47 potential miRNA targets were identified in hop. Strikingly, the majority of predicted targets were belong to transcriptional factors which could regulate hop growth and development, including leaf, root and even cone development. Moreover, the identified miRNAs may also be involved in other cellular and metabolic processes, such as stress response, signal transduction, and other physiological processes. The cis-regulatory elements relevant to biotic and abiotic stress, plant hormone response, flavonoid biosynthesis were identified in the promoter regions of those miRNA genes. Overall, findings from this study will accelerate the way for further researches of miRNAs, their functions in hop and shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc16028078
- 003
- CZ-PrNML
- 005
- 20161021111239.0
- 007
- ta
- 008
- 161005s2015 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.compbiolchem.2015.09.005 $2 doi
- 024 7_
- $a 10.1016/j.compbiolchem.2015.09.005 $2 doi
- 035 __
- $a (PubMed)26476128
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Mishra, Ajay Kumar $u Biology Centre ASCR, v.v.i, Department of Molecular Genetics, Institute of Plant Molecular Biology, Branišovská 31, České Budějovice 37005, Czech Republic.
- 245 10
- $a Computational exploration of microRNAs from expressed sequence tags of Humulus lupulus, target predictions and expression analysis / $c AK. Mishra, GS. Duraisamy, A. Týcová, J. Matoušek,
- 520 9_
- $a Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental-in silico computational based approach was adopted for the identification and characterization of miRNAs in Humulus lupulus (hop), which is widely cultivated for use by the brewing industry and apart from, used as a medicinal herb. A total of 22 miRNAs belonging to 17 miRNA families were identified in hop following comparative computational approach and EST-based homology search according to a series of filtering criteria. Selected miRNAs were validated by end-point PCR and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), confirmed the existence of conserved miRNAs in hop. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 47 potential miRNA targets were identified in hop. Strikingly, the majority of predicted targets were belong to transcriptional factors which could regulate hop growth and development, including leaf, root and even cone development. Moreover, the identified miRNAs may also be involved in other cellular and metabolic processes, such as stress response, signal transduction, and other physiological processes. The cis-regulatory elements relevant to biotic and abiotic stress, plant hormone response, flavonoid biosynthesis were identified in the promoter regions of those miRNA genes. Overall, findings from this study will accelerate the way for further researches of miRNAs, their functions in hop and shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available.
- 650 _2
- $a databáze genetické $7 D030541
- 650 12
- $a exprimované sekvenční adresy $7 D020224
- 650 _2
- $a stanovení celkové genové exprese $7 D020869
- 650 _2
- $a regulace genové exprese u rostlin $x genetika $7 D018506
- 650 _2
- $a genové regulační sítě $x genetika $7 D053263
- 650 _2
- $a rostlinné geny $x genetika $7 D017343
- 650 _2
- $a Humulus $x genetika $7 D027582
- 650 _2
- $a mikro RNA $x genetika $7 D035683
- 650 _2
- $a polymerázová řetězová reakce s reverzní transkripcí $7 D020133
- 650 12
- $a software $7 D012984
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Duraisamy, Ganesh Selvaraj $u Biology Centre ASCR, v.v.i, Department of Molecular Genetics, Institute of Plant Molecular Biology, Branišovská 31, České Budějovice 37005, Czech Republic.
- 700 1_
- $a Týcová, Anna $u Biology Centre ASCR, v.v.i, Department of Molecular Genetics, Institute of Plant Molecular Biology, Branišovská 31, České Budějovice 37005, Czech Republic.
- 700 1_
- $a Matoušek, Jaroslav $u Biology Centre ASCR, v.v.i, Department of Molecular Genetics, Institute of Plant Molecular Biology, Branišovská 31, České Budějovice 37005, Czech Republic. Electronic address: jmat@umbr.cas.cz.
- 773 0_
- $w MED00008697 $t Computational biology and chemistry $x 1476-928X $g Roč. 59 Pt A, č. - (2015), s. 131-41
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26476128 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20161005 $b ABA008
- 991 __
- $a 20161021111647 $b ABA008
- 999 __
- $a ok $b bmc $g 1166392 $s 952708
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 59 Pt A $c - $d 131-41 $e 20150909 $i 1476-928X $m Computational biology and chemistry $n Comput Biol Chem $x MED00008697
- LZP __
- $a Pubmed-20161005