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Auto Tag: Expression Analysis

September 22, 2019

Circular RNA architecture and differentiation during leaf bud to young leaf development in tea (Camellia sinensis).

Circular RNA (circRNA) discovery, expression patterns and experimental validation in developing tea leaves indicates its correlation with circRNA-parental genes and potential roles in ceRNA interaction network. Circular RNAs (circRNAs) have recently emerged as a novel class of abundant endogenous stable RNAs produced by circularization with regulatory potential. However, identification of circRNAs in plants, especially in non-model plants with large genomes, is challenging. In this study, we undertook a systematic identification of circRNAs from different stage tissues of tea plant (Camellia sinensis) leaf development using rRNA-depleted circular RNA-seq. By combining two state-of-the-art detecting tools, we characterized 3174 circRNAs, of which 342 were shared by each approach, and thus considered high-confidence circRNAs. A few predicted circRNAs were randomly chosen, and 20 out of 24 were experimental confirmed by PCR and Sanger sequencing. Similar in other plants, tissue-specific expression was also observed for many C. sinensis circRNAs. In addition, we found that circRNA abundances were positively correlated with the mRNA transcript abundances of their parental genes. qRT-PCR validated the differential expression patterns of circRNAs between leaf bud and young leaf, which also indicated the low expression abundance of circRNAs compared to the standard mRNAs from the parental genes. We predicted the circRNA-microRNA interaction networks, and 54 of the differentially expressed circRNAs were found to have potential tea plant miRNA binding sites. The gene sets encoding circRNAs were significantly enriched in chloroplasts related GO terms and photosynthesis/metabolites biosynthesis related KEGG pathways, suggesting the candidate roles of circRNAs in photosynthetic machinery and metabolites biosynthesis during leaf development.

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September 22, 2019

Transcriptome comparative analysis of salt stress responsiveness in chrysanthemum (Dendranthema grandiflorum) roots by Illumina- and Single-Molecule Real-Time-based RNA sequencing.

Salt response has long been considered a polygenic-controlled character in plants. Under salt stress conditions, plants respond by activating a great amount of proteins and enzymes. To develop a better understanding of the molecular mechanism and screen salt responsive genes in chrysanthemum under salt stress, we performed the RNA sequencing (RNA-seq) on both salt-processed chrysanthemum seedling roots and the control group, and gathered six cDNA databases eventually. Moreover, to overcome the Illumina HiSeq technology’s limitation on sufficient length of reads and improve the quality and accuracy of the result, we combined Illumina HiSeq with single-molecule real-time sequencing (SMRT-seq) to decode the full-length transcripts. As a result, we successfully collected 550,823 unigenes, and from which we selected 48,396 differentially expressed genes (DEGs). Many of these DEGs were associated with the signal transduction, biofilm system, antioxidant system, and osmotic regulation system, such as mitogen-activated protein kinase (MAPK), Acyl-CoA thioesterase (ACOT), superoxide (SOD), catalase (CAT), peroxisomal membrane protein (PMP), and pyrroline-5-carboxylate reductase (P5CR). The quantitative real-time polymerase chain reaction (qRT-PCR) analysis of 15 unigenes was performed to test the data validity. The results were highly consistent with the RNA-seq results. In all, these findings could facilitate further detection of the responsive molecular mechanism under salt stress. They also provided more accurate candidate genes for genetic engineering on salt-tolerant chrysanthemums.

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September 22, 2019

Plant 24-nt reproductive phasiRNAs from intramolecular duplex mRNAs in diverse monocots.

In grasses, two pathways that generate diverse and numerous 21-nt (premeiotic) and 24-nt (meiotic) phased siRNAs are highly enriched in anthers, the male reproductive organs. These “phasiRNAs” are analogous to mammalian piRNAs, yet their functions and evolutionary origins remain largely unknown. The 24-nt meiotic phasiRNAs have only been described in grasses, wherein their biogenesis is dependent on a specialized Dicer (DCL5). To assess how evolution gave rise to this pathway, we examined reproductive phasiRNA pathways in nongrass monocots: garden asparagus, daylily, and lily. The common ancestors of these species diverged approximately 115-117 million years ago (MYA). We found that premeiotic 21-nt and meiotic 24-nt phasiRNAs were abundant in all three species and displayed spatial localization and temporal dynamics similar to grasses. The miR2275-triggered pathway was also present, yielding 24-nt reproductive phasiRNAs, and thus originated more than 117 MYA. In asparagus, unlike in grasses, these siRNAs are largely derived from inverted repeats (IRs); analyses in lily identified thousands of precursor loci, and many were also predicted to form foldback substrates for Dicer processing. Additionally, reproductive phasiRNAs were present in female reproductive organs and thus may function in both male and female germinal development. These data describe several distinct mechanisms of production for 24-nt meiotic phasiRNAs and provide new insights into the evolution of reproductive phasiRNA pathways in monocots.© 2018 Kakrana et al.; Published by Cold Spring Harbor Laboratory Press.

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September 22, 2019

Transcriptome profiling of two ornamental and medicinal papaver herbs.

The Papaver spp. (Papaver rhoeas (Corn poppy) and Papaver nudicaule (Iceland poppy)) genera are ornamental and medicinal plants that are used for the isolation of alkaloid drugs. In this study, we generated 700 Mb of transcriptome sequences with the PacBio platform. They were assembled into 120,926 contigs, and 1185 (82.2%) of the benchmarking universal single-copy orthologs (BUSCO) core genes were completely present in our assembled transcriptome. Furthermore, using 128 Gb of Illumina sequences, the transcript expression was assessed at three stages of Papaver plant development (30, 60, and 90 days), from which we identified 137 differentially expressed transcripts. Furthermore, three co-occurrence heat maps are generated from 51 different plant genomes along with the Papaver transcriptome, i.e., secondary metabolite biosynthesis, isoquinoline alkaloid biosynthesis (BIA) pathway, and cytochrome. Sixty-nine transcripts in the BIA pathway along with 22 different alkaloids (quantified with LC-QTOF-MS/MS) were mapped into the BIA KEGG map (map00950). Finally, we identified 39 full-length cytochrome transcripts and compared them with other genomes. Collectively, this transcriptome data, along with the expression and quantitative metabolite profiles, provides an initial recording of secondary metabolites and their expression related to Papaver plant development. Moreover, these profiles could help to further detail the functional characterization of the various secondary metabolite biosynthesis and Papaver plant development associated problems.

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September 22, 2019

PCR and omics based techniques to study the diversity, ecology and biology of anaerobic fungi: Insights, challenges andopportunities.

Anaerobic fungi (phylum Neocallimastigomycota) are common inhabitants of the digestive tract of mammalian herbivores, and in the rumen, can account for up to 20% of the microbial biomass. Anaerobic fungi play a primary role in the degradation of lignocellulosic plant material. They also have a syntrophic interaction with methanogenic archaea, which increases their fiber degradation activity. To date, nine anaerobic fungal genera have been described, with further novel taxonomic groupings known to exist based on culture-independent molecular surveys. However, the true extent of their diversity may be even more extensively underestimated as anaerobic fungi continue being discovered in yet unexplored gut and non-gut environments. Additionally many studies are now known to have used primers that provide incomplete coverage of the Neocallimastigomycota. For ecological studies the internal transcribed spacer 1 region (ITS1) has been the taxonomic marker of choice, but due to various limitations the large subunit rRNA (LSU) is now being increasingly used. How the continued expansion of our knowledge regarding anaerobic fungal diversity will impact on our understanding of their biology and ecological role remains unclear; particularly as it is becoming apparent that anaerobic fungi display niche differentiation. As a consequence, there is a need to move beyond the broad generalization of anaerobic fungi as fiber-degraders, and explore the fundamental differences that underpin their ability to exist in distinct ecological niches. Application of genomics, transcriptomics, proteomics and metabolomics to their study in pure/mixed cultures and environmental samples will be invaluable in this process. To date the genomes and transcriptomes of several characterized anaerobic fungal isolates have been successfully generated. In contrast, the application of proteomics and metabolomics to anaerobic fungal analysis is still in its infancy. A central problem for all analyses, however, is the limited functional annotation of anaerobic fungal sequence data. There is therefore an urgent need to expand information held within publicly available reference databases. Once this challenge is overcome, along with improved sample collection and extraction, the application of these techniques will be key in furthering our understanding of the ecological role and impact of anaerobic fungi in the wide range of environments they inhabit.

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September 22, 2019

High-resolution characterization of the human microbiome.

The human microbiome plays an important and increasingly recognized role in human health. Studies of the microbiome typically use targeted sequencing of the 16S rRNA gene, whole metagenome shotgun sequencing, or other meta-omic technologies to characterize the microbiome’s composition, activity, and dynamics. Processing, analyzing, and interpreting these data involve numerous computational tools that aim to filter, cluster, annotate, and quantify the obtained data and ultimately provide an accurate and interpretable profile of the microbiome’s taxonomy, functional capacity, and behavior. These tools, however, are often limited in resolution and accuracy and may fail to capture many biologically and clinically relevant microbiome features, such as strain-level variation or nuanced functional response to perturbation. Over the past few years, extensive efforts have been invested toward addressing these challenges and developing novel computational methods for accurate and high-resolution characterization of microbiome data. These methods aim to quantify strain-level composition and variation, detect and characterize rare microbiome species, link specific genes to individual taxa, and more accurately characterize the functional capacity and dynamics of the microbiome. These methods and the ability to produce detailed and precise microbiome information are clearly essential for informing microbiome-based personalized therapies. In this review, we survey these methods, highlighting the challenges each method sets out to address and briefly describing methodological approaches. Copyright © 2016 Elsevier Inc. All rights reserved.

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September 22, 2019

High-quality reference transcript datasets hold the key to transcript-specific RNA-sequencing analysis in plants.

Re-programming of the transcriptome involves both transcription and alternative splicing (AS). Some genes are regulated only at the AS level with no change in expression at the gene level. AS data must be incorporated as an essential aspect of the regulation of gene expression. RNA-sequencing (RNA-seq) can deliver both transcriptional and AS information, but accurate methods to analyse the added complexity in RNA-seq data are needed. The construction of a comprehensive reference transcript dataset (RTD) for a specific plant species, variety or accession, from all available sequence data, will immediately allow more robust analysis of RNA-seq data. RTDs will continually evolve and improve, a process that will be more efficient if resources across a community are shared and pooled.© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

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September 22, 2019

Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.

High-throughput RNA sequencing (RNA-seq) greatly expands the potential for genomics discoveries, but the wide variety of platforms, protocols and performance capabilitites has created the need for comprehensive reference data. Here we describe the Association of Biomolecular Resource Facilities next-generation sequencing (ABRF-NGS) study on RNA-seq. We carried out replicate experiments across 15 laboratory sites using reference RNA standards to test four protocols (poly-A-selected, ribo-depleted, size-selected and degraded) on five sequencing platforms (Illumina HiSeq, Life Technologies PGM and Proton, Pacific Biosciences RS and Roche 454). The results show high intraplatform (Spearman rank R > 0.86) and inter-platform (R > 0.83) concordance for expression measures across the deep-count platforms, but highly variable efficiency and cost for splice junction and variant detection between all platforms. For intact RNA, gene expression profiles from rRNA-depletion and poly-A enrichment are similar. In addition, rRNA depletion enables effective analysis of degraded RNA samples. This study provides a broad foundation for cross-platform standardization, evaluation and improvement of RNA-seq.

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September 22, 2019

The expressed portion of the barley genome

In this chapter, we refer to the expressed portion of the barley genome as the relatively small fraction of the total cellular DNA that either contains the genes that ultimately produce proteins, or that directly/indirectly controls the level, location and/or timing of when these genes are expressed and proteins are produced. We start by describing the dynamics of tissue and time-dependent gene expression and how common patterns across multiple samples can provide clues about gene networks involved in common biological processes. We then describe some of the complexities of how a single mRNA template can be differentially processed by alternative splicing to generate multiple different proteins or provide a mechanism to regulate the amount of functional gene product in a cell at a given point in time. We extend our analysis, using a number of biological examples, to address how diverse families of small non-coding microRNAs specifically regulate gene expression, and complete our appraisal by looking at the physical/molecular environment around genes that can result in either the promotion or repression of gene expression. We conclude by assessing some of the issues that remain around our ability to fully exploit the depth and power of current approaches for analysing gene expression and propose improvements that could be made using new but available sequencing and bioinformatics technologies.

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September 22, 2019

Tracking alternatively spliced isoforms from long reads by SpliceHunter.

Alternative splicing increases the functional complexity of a genome by generating multiple isoforms and potentially proteins from the same gene. Vast amounts of alternative splicing events are routinely detected by short read deep sequencing technologies but their functional interpretation is hampered by an uncertain transcript context. Emerging long-read sequencing technologies provide a more complete picture of full-length transcript sequences. We introduce SpliceHunter, a tool for the computational interpretation of long reads generated by for example Pacific Biosciences instruments. SpliceHunter defines and tracks isoforms and novel transcription units across time points, compares their splicing pattern to a reference annotation, and translates them into potential protein sequences.

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September 22, 2019

A manganese superoxide dismutase (MnSOD) from red lip mullet, Liza haematocheila: Evaluation of molecular structure, immune response, and antioxidant function.

Manganese superoxide dismutase (MnSOD) is a nuclear-encoded antioxidant metalloenzyme. The main function of this enzyme is to dismutase the toxic superoxide anion (O2-) into less toxic hydrogen peroxide (H2O2) and oxygen (O2). Structural analysis of mullet MnSOD (MuMnSOD) was performed using different bioinformatics tools. Pairwise alignment revealed that the protein sequence matched to that derived from Larimichthys crocea with a 95.2% sequence identity. Phylogenetic tree analysis showed that the MuMnSOD was included in the category of teleosts. Multiple sequence alignment showed that a SOD Fe-N domain, SOD Fe-C domain, and Mn/Fe SOD signature were highly conserved among the other examined MnSOD orthologs. Quantitative real-time PCR showed that the highest MuMnSOD mRNA expression level was in blood cells. The highest expression level of MuMnSOD was observed in response to treatment with both Lactococcus garvieae and lipopolysaccharide (LPS) at 6?h post treatment in the head kidney and blood. Potential ROS-scavenging ability of the purified recombinant protein (rMuMnSOD) was examined by the xanthine oxidase assay (XOD assay). The optimum temperature and pH for XOD activity were found to be 25?°C and pH 7, respectively. Relative XOD activity was significantly increased with the dose of rMuMnSOD, revealing its dose dependency. Activity of rMuMnSOD was inhibited by potassium cyanide (KCN) and N-N’-diethyl-dithiocarbamate (DDC). Moreover, expression of MuMnSOD resulted in considerable growth retardation of both gram-positive and gram-negative bacteria. Results of the current study suggest that MuMnSOD acts as an antioxidant enzyme and participates in the immune response in mullet. Copyright © 2018 Elsevier Ltd. All rights reserved.

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September 22, 2019

Transcriptome characterization of moso bamboo (Phyllostachys edulis) seedlings in response to exogenous gibberellin applications.

Moso bamboo (Phyllostachys edulis) is a well-known bamboo species of high economic value in the textile industry due to its rapid growth. Phytohormones, which are master regulators of growth and development, serve as important endogenous signals. However, the mechanisms through which phytohormones regulate growth in moso bamboo remain unknown to date.Here, we reported that exogenous gibberellins (GA) applications resulted in a significantly increased internode length and lignin condensation. Transcriptome sequencing revealed that photosynthesis-related genes were enriched in the GA-repressed gene class, which was consistent with the decrease in leaf chlorophyll concentrations and the lower rate of photosynthesis following GA treatment. Exogenous GA applications on seedlings are relatively easy to perform, thus we used 4-week-old whole seedlings of bamboo for GA- treatment followed by high throughput sequencing. In this study, we identified 932 cis-nature antisense transcripts (cis-NATs), and 22,196 alternative splicing (AS) events in total. Among them, 42 cis-nature antisense transcripts (cis-NATs) and 442 AS events were differentially expressed upon exposure to exogenous GA3, suggesting that post-transcriptional regulation might be also involved in the GA3 response. Targets of differential expression of cis-NATs included genes involved in hormone receptor, photosynthesis and cell wall biogenesis. For example, LAC4 and its corresponding cis-NATs were GA3-induced, and may be involved in the accumulation of lignin, thus affecting cell wall composition.This study provides novel insights illustrating how GA alters post-transcriptional regulation and will shed light on the underlying mechanism of growth modulated by GA in moso bamboo.

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September 22, 2019

Revealing the transcriptomic complexity of switchgrass by PacBio long-read sequencing.

Switchgrass (Panicum virgatum L.) is an important bioenergy crop widely used for lignocellulosic research. While extensive transcriptomic analyses have been conducted on this species using short read-based sequencing techniques, very little has been reliably derived regarding alternatively spliced (AS) transcripts.We present an analysis of transcriptomes of six switchgrass tissue types pooled together, sequenced using Pacific Biosciences (PacBio) single-molecular long-read technology. Our analysis identified 105,419 unique transcripts covering 43,570 known genes and 8795 previously unknown genes. 45,168 are novel transcripts of known genes. A total of 60,096 AS transcripts are identified, 45,628 being novel. We have also predicted 1549 transcripts of genes involved in cell wall construction and remodeling, 639 being novel transcripts of known cell wall genes. Most of the predicted transcripts are validated against Illumina-based short reads. Specifically, 96% of the splice junction sites in all the unique transcripts are validated by at least five Illumina reads. Comparisons between genes derived from our identified transcripts and the current genome annotation revealed that among the gene set predicted by both analyses, 16,640 have different exon-intron structures.Overall, substantial amount of new information is derived from the PacBio RNA data regarding both the transcriptome and the genome of switchgrass.

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September 22, 2019

Analysis of transcripts and splice isoforms in red clover (Trifolium pratense L.) by single-molecule long-read sequencing.

Red clover (Trifolium pratense L.) is an important cool-season legume plant, which is the most widely planted forage legume after alfalfa. Although a draft genome sequence was published already, the sequences and completed structure of mRNA transcripts remain unclear, which limit further explore on red clover.In this study, the red clover transcriptome was sequenced using single-molecule long-read sequencing to identify full-length splice isoforms, and 29,730 novel isoforms from known genes and 2194 novel isoforms from novel genes were identified. A total of 5492 alternative splicing events was identified and the majority of alter spliced events in red clover was corrected as intron retention. In addition, of the 15,229 genes detected by SMRT, 8719 including 186,517 transcripts have at least one poly(A) site. Furthermore, we identified 4333 long non-coding RNAs and 3762 fusion transcripts.We analyzed full-length transcriptome of red clover with PacBio SMRT. Those new findings provided important information for improving red clover draft genome annotation and fully characterization of red clover transcriptome.

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September 22, 2019

Long-read sequencing and de novo assembly of a Chinese genome.

Short-read sequencing has enabled the de novo assembly of several individual human genomes, but with inherent limitations in characterizing repeat elements. Here we sequence a Chinese individual HX1 by single-molecule real-time (SMRT) long-read sequencing, construct a physical map by NanoChannel arrays and generate a de novo assembly of 2.93?Gb (contig N50: 8.3?Mb, scaffold N50: 22.0?Mb, including 39.3?Mb N-bases), together with 206?Mb of alternative haplotypes. The assembly fully or partially fills 274 (28.4%) N-gaps in the reference genome GRCh38. Comparison to GRCh38 reveals 12.8?Mb of HX1-specific sequences, including 4.1?Mb that are not present in previously reported Asian genomes. Furthermore, long-read sequencing of the transcriptome reveals novel spliced genes that are not annotated in GENCODE and are missed by short-read RNA-Seq. Our results imply that improved characterization of genome functional variation may require the use of a range of genomic technologies on diverse human populations.

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