scholarly journals Small RNA sequencing reveals various microRNAs involved in piperine biosynthesis in black pepper (Piper nigrum L.)

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuanhao Ding ◽  
Yuyuan Mao ◽  
Yi Cen ◽  
Lisong Hu ◽  
Yuefeng Su ◽  
...  
Keyword(s):  
Secondary Metabolism ◽  
Rna Sequencing ◽  
Small Rna ◽  
Small Rnas ◽  
Black Pepper ◽  
Piper Nigrum ◽  
Small Rna Sequencing ◽  
Mirna Regulation ◽  
Sequencing Data ◽  
The Tropics

Abstract Background Black pepper (Piper nigrum L.), an important and long-cultivated spice crop, is native to South India and grown in the tropics. Piperine is the main pungent and bioactive alkaloid in the berries of black pepper, but the molecular mechanism for piperine biosynthesis has not been determined. MicroRNAs (miRNAs), which are classical endogenous noncoding small RNAs, play important roles in regulating secondary metabolism in many species, but less is known regarding black pepper or piperine biosynthesis. Results To dissect the functions of miRNAs in secondary metabolism especially in piperine biosynthesis, 110 known miRNAs, 18 novel miRNAs and 1007 individual targets were identified from different tissues of black pepper by small RNA sequencing. qRT-PCR and 5′-RLM-RACE experiments were conducted to validate the reliability of the sequencing data and predicted targets. We found 3 miRNAs along with their targets including miR166-4CL, miR396-PER and miR397-CCR modules that are involved in piperine biosynthesis. Conclusion MiRNA regulation of secondary metabolism is a common phenomenon in plants. Our study revealed new miRNAs that regulate piperine biosynthesis, which are special alkaloids in the piper genus, and they might be useful for future piperine genetic improvement of black pepper.

scholarly journals COMPASS: a COMprehensive Platform for smAll RNA-Seq data analySis

2019 ◽  
Author(s):  
Jiang Li ◽  
Alvin T. Kho ◽  
Robert P. Chase ◽  
Lorena Pantano-Rubino ◽  
Leanna Farnam ◽  
...  
Keyword(s):  
Data Analysis ◽  
Rna Sequencing ◽  
Small Rna ◽  
Small Rnas ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Healthy Human ◽  
Data Set ◽  
Sequence Processing ◽  
Rna Analysis

Abstract Background Circulating RNAs are potential disease biomarkers and their function is being actively investigated. Next generation sequencing (NGS) is a common means to interrogate the small RNA'ome or the full spectrum of small RNAs (<200 nucleotide length) of a biological system. A pivotal problem in NGS based small RNA analysis is identifying and quantifying the small RNA'ome constituent components. Most existing NGS data analysis tools focus on the microRNA component and a few other small RNA types like piRNA, snRNA and snoRNA. A comprehensive platform is needed to interrogate the full small RNA'ome, a prerequisite for down-stream data analysis. Results We present COMPASS, a comprehensive modular stand-alone platform for identifying and quantifying small RNAs from small RNA sequencing data. COMPASS contains prebuilt customizable standard RNA databases and sequence processing tools to enable turnkey basic small RNA analysis. We evaluated COMPASS against comparable existing tools on small RNA sequencing data set from serum samples of 12 healthy human controls, and COMPASS identified a greater diversity and abundance of small RNA molecules. Conclusion COMPASS is modular, stand-alone and integrates multiple customizable RNA databases and sequence processing tool and is distributed under the GNU General Public License free to non-commercial registered users at https://regepi.bwh.harvard.edu/circurna/ and the source code is available at https://github.com/cougarlj/COMPASS.

scholarly journals COMPASS: a COMprehensive Platform for smAll RNA-Seq data analySis

2019 ◽  
Author(s):  
Jiang Li ◽  
Alvin T. Kho ◽  
Robert P. Chase ◽  
Lorena Pantano-Rubino ◽  
Leanna Farnam ◽  
...  
Keyword(s):  
Data Analysis ◽  
Rna Sequencing ◽  
Small Rna ◽  
Small Rnas ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Data Set ◽  
Sequence Processing ◽  
Rna Analysis ◽  
Link Type

AbstractBackgroundCirculating RNAs are potential disease biomarkers and their function is being actively investigated. Next generation sequencing (NGS) is a common means to interrogate the small RNA’ome or the full spectrum of small RNAs (<200 nucleotide length) of a biological system. A pivotal problem in NGS based small RNA analysis is identifying and quantifying the small RNA’ome constituent components. Most existing NGS data analysis tools focus on the microRNA component and a few other small RNA types like piRNA, snRNA and snoRNA. A comprehensive platform is needed to interrogate the full small RNA’ome, a prerequisite for down-stream data analysis.ResultsWe present COMPASS, a comprehensive modular stand-alone platform for identifying and quantifying small RNAs from small RNA sequencing data. COMPASS contains prebuilt customizable standard RNA databases and sequence processing tools to enable turnkey basic small RNA analysis. We evaluated COMPASS against comparable existing tools on small RNA sequencing data set from serum samples of 12 healthy human controls, and COMPASS identified a greater diversity and abundance of small RNA molecules.ConclusionCOMPASS is modular, stand-alone and integrates multiple customizable RNA databases and sequence processing tool and is distributed under the GNU General Public License free to non-commercial registered users at https://regepi.bwh.harvard.edu/circurna/ and the source code is available at https://github.com/cougarlj/COMPASS.

scholarly journals Characterizing the cancer-associated microbiome with small RNA sequencing data

2020 ◽  
Vol 522 (3) ◽  
pp. 776-782
Author(s):  
Wei-Hao Lee ◽  
Kai-Pu Chen ◽  
Kai Wang ◽  
Hsuan-Cheng Huang ◽  
Hsueh-Fen Juan
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Sequencing Data

scholarly journals miRquant 2.0: an Expanded Tool for Accurate Annotation and Quantification of MicroRNAs and their isomiRs from Small RNA-Sequencing Data

2016 ◽  
Vol 13 (5) ◽  
Author(s):  
Matthew Kanke ◽  
Jeanette Baran-Gale ◽  
Jonathan Villanueva ◽  
Praveen Sethupathy
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Cell Types ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Sequencing Technology ◽  
Additional Information ◽  
Disease States ◽  
Non Coding Rnas ◽  
The Rich

SummarySmall non-coding RNAs, in particular microRNAs, are critical for normal physiology and are candidate biomarkers, regulators, and therapeutic targets for a wide variety of diseases. There is an ever-growing interest in the comprehensive and accurate annotation of microRNAs across diverse cell types, conditions, species, and disease states. Highthroughput sequencing technology has emerged as the method of choice for profiling microRNAs. Specialized bioinformatic strategies are required to mine as much meaningful information as possible from the sequencing data to provide a comprehensive view of the microRNA landscape. Here we present miRquant 2.0, an expanded bioinformatics tool for accurate annotation and quantification of microRNAs and their isoforms (termed isomiRs) from small RNA-sequencing data. We anticipate that miRquant 2.0 will be useful for researchers interested not only in quantifying known microRNAs but also mining the rich well of additional information embedded in small RNA-sequencing data.

scholarly journals Evidence for human microRNA-offset RNAs in small RNA sequencing data

2009 ◽  
Vol 25 (18) ◽  
pp. 2298-2301 ◽  
Author(s):  
D. Langenberger ◽  
C. Bermudez-Santana ◽  
J. Hertel ◽  
S. Hoffmann ◽  
P. Khaitovich ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Sequencing Data

scholarly journals In silico genome wide mining of conserved and novel miRNAs in the brain and pineal gland of Danio rerio using small RNA sequencing data

Genomics Data ◽  
2016 ◽  
Vol 7 ◽  
pp. 46-53 ◽  
Author(s):  
Suyash Agarwal ◽  
Naresh Sahebrao Nagpure ◽  
Prachi Srivastava ◽  
Basdeo Kushwaha ◽  
Ravindra Kumar ◽  
...  
Keyword(s):  
Pineal Gland ◽  
Rna Sequencing ◽  
Danio Rerio ◽  
Small Rna ◽  
In Silico ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Genome Wide ◽  
The Brain

Traces of post-transcriptional RNA modifications in deep sequencing data

2011 ◽  
Vol 392 (4) ◽  
Author(s):  
Sven Findeiß ◽  
David Langenberger ◽  
Peter F. Stadler ◽  
Steve Hoffmann
Keyword(s):  
Rna Sequencing ◽  
Small Rna ◽  
Small Rna Sequencing ◽  
Data Sets ◽  
Sequencing Data ◽  
Rna Modifications ◽  
Deep Sequencing Data ◽  
Complex Processes ◽  
Mature Micrornas ◽  
Rna Maturation

Abstract Many aspects of the RNA maturation leave traces in RNA sequencing data in the form of deviations from the reference genomic DNA. This includes, in particular, genomically non-encoded nucleotides and chemical modifications. The latter leave their signatures in the form of mismatches and conspicuous patterns of sequencing reads. Modified mapping procedures focusing on particular types of deviations can help to unravel post-transcriptional modification, maturation and degradation processes. Here, we focus on small RNA sequencing data that is produced in large quantities aimed at the analysis of microRNA expression. Starting from the recovery of many well known modified sites in tRNAs, we provide evidence that modified nucleotides are a pervasive phenomenon in these data sets. Regarding non-encoded nucleotides we concentrate on CCA tails, which surprisingly can be found in a diverse collection of transcripts including sub-populations of mature microRNAs. Although small RNA sequencing libraries alone are insufficient to obtain a complete picture, they can inform on many aspects of the complex processes of RNA maturation.

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