B. Jabbar, Batcho Agossa Anicet, M. Sarwar, B. Rashid, S. Hassan, T. Husnain
{"title":"RNA-Seq Data Analysis Unveils Potential Conserved Micro-RNAs in Agave Deserti","authors":"B. Jabbar, Batcho Agossa Anicet, M. Sarwar, B. Rashid, S. Hassan, T. Husnain","doi":"10.2174/1570164617999200529122637","DOIUrl":null,"url":null,"abstract":"\n\nExploring molecular mechanism of abiotic stress tolerance in plants is needed to\novercome the deterioration of yield and quality of crop plants to meet the food security challenges\nof the growing population.\n\n\n\nMicroRNAs (miRNAs) are small non-coding RNA molecules that regulate target\ngene expression for modulating plant growth, development, and response to different stresses.\nAgave belonging to CAM plants’ has remarkable tolerance to extreme conditions of drought and\nheat; however, molecular mechanisms underlying this excellence are yet to explore.\n\n\n\nThis study applies comparative genomics approach on available Transcriptome (RNA-\nSeq) data of Agave deserti to identify potential miRNAs, and miRNA targets.\n\n\n\nTranscriptome datasets consisting of 128,869 Agave contigs was processed to create local\ndatabase, for nucleotide homology analysis with 6,028 non-redundant plant miRNAs as query\nsequences. Protein coding sequences were removed, and potential pre-miRNA sequences were tested\nfor stability analysis based on a variety of factors, including but not limited to %G+C content\nand minimum free energy (-ΔG), as a filter to remove pseudo pre-miRNAs.\n\n\n\nThis study identified 30 unique miRNAs of Agave deserti harboring 14 different categories\nof precursors. Phylogenetic analysis revealed evolutionary relationship between newly identified\npre-miRNAs with corresponding pre-miRNA homologues. Target genes of miRNAs were\npredicted subsequently, and possible functions were defined by functional annotation analysis.\n\n\n\nThe results of this study will pave the way for further research, exploring the molecular\nmechanisms in Agave deserti and the role of miRNAs in gene regulation under abiotic stresses.\n","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"40 1","pages":"248-263"},"PeriodicalIF":0.5000,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/1570164617999200529122637","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Exploring molecular mechanism of abiotic stress tolerance in plants is needed to
overcome the deterioration of yield and quality of crop plants to meet the food security challenges
of the growing population.
MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate target
gene expression for modulating plant growth, development, and response to different stresses.
Agave belonging to CAM plants’ has remarkable tolerance to extreme conditions of drought and
heat; however, molecular mechanisms underlying this excellence are yet to explore.
This study applies comparative genomics approach on available Transcriptome (RNA-
Seq) data of Agave deserti to identify potential miRNAs, and miRNA targets.
Transcriptome datasets consisting of 128,869 Agave contigs was processed to create local
database, for nucleotide homology analysis with 6,028 non-redundant plant miRNAs as query
sequences. Protein coding sequences were removed, and potential pre-miRNA sequences were tested
for stability analysis based on a variety of factors, including but not limited to %G+C content
and minimum free energy (-ΔG), as a filter to remove pseudo pre-miRNAs.
This study identified 30 unique miRNAs of Agave deserti harboring 14 different categories
of precursors. Phylogenetic analysis revealed evolutionary relationship between newly identified
pre-miRNAs with corresponding pre-miRNA homologues. Target genes of miRNAs were
predicted subsequently, and possible functions were defined by functional annotation analysis.
The results of this study will pave the way for further research, exploring the molecular
mechanisms in Agave deserti and the role of miRNAs in gene regulation under abiotic stresses.
Current ProteomicsBIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍:
Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.
Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:
Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects
Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
Knowledge integration and management tools
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics.