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Identification and expression analysis of genome-wide long noncoding RNA responsive CO2 fluctuated environment in marine microalga Nannochloropsis oceanica

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Abstract

Long non-coding RNAs (lncRNAs) have been demonstrated to participate in plant growth and development as well as response to different biotic and abiotic stresses. However, the knowledge of lncRNA was limited in microalgae. In this study, by RNA deep sequencing, 134 lncRNAs were identified in marine Nannochloropsis oceanica in response to carbon dioxide fluctuation. Among them, there were 51 lncRNAs displayed differentially expressed between low and high CO2 treatments, including 33 upregulation and 18 downregulation lncRNAs. Cellulose metabolic process, glucan metabolic process, polysaccharide metabolic process, and transmembrane transporter activity were functionally enriched. Multiple potential target genes of lncRNA and lncRNA-mRNA co-located gene network were analyzed. Subsequent analysis had demonstrated that lncRNAs would participate in many biological molecular processes, including gene expression, transcriptional regulation, protein expression and epigenetic regulation. In addition, alternative splicing events were firstly analyzed in response to CO2 fluctuation. There were 2051 alternative splicing (AS events) identified, which might be associated with lncRNA. These observations will provide a novel insight into lncRNA function in Nannochloropsis and provide a series of targets for lncRNA-based gene editing in future.

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... LncRNAs involve in very diverse and important functions in many key biological processes, including epigenetic regulation, localization regulation, and protein function. LncR-NAs also act as regulators of gene expression in various aspects of plant development (Baruah et al. 2021;Dykes and Emanueli 2017;Wei et al. 2022). We, in the previous study, attempted to address the effects of UV-B radiation on the V. carteri whole transcriptome coding genes' profile (Ekhtari et al. 2019). ...
... In recent years, benefiting from the rapid development of high-throughput sequencing technology, RNA-seq, and computational analysis methods, more lncRNAs were identified and discovered in various plant species, including Zea mays, Populus tomentosa, and Actinidia chinensis (Ding et al. 2019;Jain, et al. 2021;Zhu et al. 2022). Identifying and analyzing lncRNAs under different conditions such as nutrient stresses, light intensity, and light quality have been investigated in Arabidopsis, wheat, rice, maize, cotton, Medicago, and peanut (Wei et al. 2022). In previous studies related to the identification (Lu et al. 2017), 2040 lncRNAs in Brassica rapa (Liu et al. 2018), 1323 novel lncRNAs in Ginkgo biloba leaves (Wang et al. 2018), 4648 lncRNAs in Physcomitrella patens (Simopoulos et al. 2019), 381 lncRNAs in Pteris vittate (Yan et al. 2019), and 1626 and 2208 putative high confidence lncRNAs in root and leaf of rice (Oryza sativa L.) (Jain, et al. 2021) were identified and reported. ...
... So far, few reports and studies related to lncRNAs in algae and microalgae are available. In previous studies, 1440 high-confidence lncRNAs in unicellular green alga Chlamydomonas reinhardtii (Li et al. 2016), 717 putative lncRNAs in brown alga Ectocarpus genome (Cormier et al. 2017), 4138 lncRNAs in marine diatom Phaeodactylum tricornutum (Cruz de Carvalho and Bowler 2020), and 134 novel lncRNAs in the marine microalga Nannochloropsis oceanica (Wei et al. 2022) have been identified. However, our knowledge regarding the lncRNAs in algae is limited. ...
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Background Long non-coding RNAs (lncRNAs) have been shown to play crucially regulatory roles in diverse biological processes involving complex mechanisms. However, information regarding the number, sequences, characteristics and potential functions of lncRNAs in plants is so far overly limited. Results Using high-throughput sequencing and bioinformatics analysis, we identified a total of 23,324 putative lncRNAs from control, osmotic stress- and salt stress-treated leaf and root samples of Medicago truncatula, a model legume species. Out of these lncRNAs, 7,863 and 5,561 lncRNAs were identified from osmotic stress-treated leaf and root samples, respectively. While, 7,361 and 7,874 lncRNAs were identified from salt stress-treated leaf and root samples, respectively. To reveal their potential functions, we analyzed Gene Ontology (GO) terms of genes that overlap with or are neighbors of the stress-responsive lncRNAs. Enrichments in GO terms in biological processes such as signal transduction, energy synthesis, molecule metabolism, detoxification, transcription and translation were found. Conclusions LncRNAs are likely involved in regulating plant’s responses and adaptation to osmotic and salt stresses in complex regulatory networks with protein-coding genes. These findings are of importance for our understanding of the potential roles of lncRNAs in responses of plants in general and M. truncatula in particular to abiotic stresses. Electronic supplementary material The online version of this article (doi:10.1186/s12870-015-0530-5) contains supplementary material, which is available to authorized users.
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Alternative splicing is an essential mechanism for increasing transcriptome and proteome diversity in eukaryotes. Particularly in multicellular eukaryotes, this mechanism is involved in the regulation of developmental and physiological processes like growth, differentiation and signal transduction. Here we report the genome-wide analysis of alternative splicing in the multicellular green alga Volvox carteri. The bioinformatic analysis of 132,038 expressed sequence tags (ESTs) identified 580 alternative splicing events in a total of 426 genes. The predominant type of alternative splicing in Volvox is intron retention (46.5%) followed by alternative 5′ (17.9%) and 3′ (21.9%) splice sites and exon skipping (9.5%). Our analysis shows that in Volvox at least ~2.9% of the intron-containing genes are subject to alternative splicing. Considering the total number of sequenced ESTs, the Volvox genome seems to provide more favorable conditions (e.g., regarding length and GC content of introns) for the occurrence of alternative splicing than the genome of its close unicellular relative Chlamydomonas. Moreover, many randomly chosen alternatively spliced genes of Volvox do not show alternative splicing in Chlamydomonas. Since the Volvox genome contains about the same number of protein-coding genes as the Chlamydomonas genome (~14,500 protein-coding genes), we assumed that alternative splicing may play a key role in generation of genomic diversity, which is required to evolve from a simple one-cell ancestor to a multicellular organism with differentiated cell types (Mol Biol Evol 31:1402-1413, 2014). To confirm the alternative splicing events identified by bioinformatic analysis, several genes with different types of alternatively splicing have been selected followed by experimental verification of the predicted splice variants by RT-PCR. The results show that our approach for prediction of alternative splicing events in Volvox was accurate and reliable. Moreover, quantitative real-time RT-PCR appears to be useful in Volvox for analyses of relationships between the appearance of specific alternative splicing variants and different kinds of physiological, metabolic and developmental processes as well as responses to environmental changes.
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Background Long noncoding RNAs (lncRNAs) play important roles in a wide range of biological processes in mammals and plants. However, the systematic examination of lncRNAs in plants lags behind that in mammals. Recently, lncRNAs have been identified in Arabidopsis and wheat; however, no systematic screening of potential lncRNAs has been reported for the rice genome. Results In this study, we perform whole transcriptome strand-specific RNA sequencing (ssRNA-seq) of samples from rice anthers, pistils, and seeds 5 days after pollination and from shoots 14 days after germination. Using these data, together with 40 available rice RNA-seq datasets, we systematically analyze rice lncRNAs and definitively identify lncRNAs that are involved in the reproductive process. The results show that rice lncRNAs have some different characteristics compared to those of Arabidopsis and mammals and are expressed in a highly tissue-specific or stage-specific manner. We further verify the functions of a set of lncRNAs that are preferentially expressed in reproductive stages and identify several lncRNAs as competing endogenous RNAs (ceRNAs), which sequester miR160 or miR164 in a type of target mimicry. More importantly, one lncRNA, XLOC_057324, is demonstrated to play a role in panicle development and fertility. We also develop a source of rice lncRNA-associated insertional mutants. Conclusions Genome-wide screening and functional analysis enabled the identification of a set of lncRNAs that are involved in the sexual reproduction of rice. The results also provide a source of lncRNAs and associated insertional mutants in rice. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0512-1) contains supplementary material, which is available to authorized users.
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Alternative splicing (AS) is common in higher eukaryotes and plays an important role in gene posttranscriptional regulation. It has been suggested that AS varies dramatically among species, tissues, and duplicated gene families of different sizes. However, the genomic forces that govern AS variation remain poorly understood. Here, through genome-wide identification of AS events in the soybean (Glycine max) genome using high-throughput RNA sequencing of 28 samples from different developmental stages, we found that more than 63% of multiexonic genes underwent AS. More AS events occurred in the younger developmental stages than in the older developmental stages for the same type of tissue, and the four main AS types, exon skipping, intron retention, alternative donor sites, and alternative acceptor sites, exhibited different characteristics. Global computational analysis demonstrated that the variations of AS frequency and AS types were significantly correlated with the changes of gene features and gene transcriptional level. Further investigation suggested that the decrease of AS within the genome-wide duplicated genes were due to the diminution of intron length, exon number, and transcriptional level. Altogether, our study revealed that a large number of genes were alternatively spliced in the soybean genome and that variations in gene structure and transcriptional level may play important roles in regulating AS.
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Recent research on long noncoding RNAs (lncRNAs) has expanded our understanding of gene transcription regulation and the generation of cellular complexity. Depending on their genomic origins, lncRNAs can be transcribed from intergenic or intragenic regions or from introns of protein coding genes. We have recently reported more than 6,000 intergenic lncRNAs in Arabidopsis. Here, we systematically identified long noncoding natural antisense transcripts (lncNATs), defined as lncRNAs transcribed from the opposite DNA strand of coding or noncoding genes. We found a total of 37,238 sense-antisense transcript pairs and 70% of annotated mRNAs to be associated with antisense transcripts in Arabidopsis. These lncNATs could be reproducibly detected by different technical platforms, including strand-specific tiling arrays, Agilent custom expression arrays, strand-specific RNA-seq and qRT-PCR experiments. Moreover, we investigated the expression profiles of sense-antisense pairs in response to light and observed spatial and developmental-specific light effects on 626 concordant and 766 discordant NAT pairs. Genes for a large number of the light-responsive NAT pairs are associated with histone modification peaks, and histone acetylation is dynamically correlated with light-responsive expression changes of NATs.
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Nannochloropsis is rapidly emerging as a model organism for the study of biofuel production in microalgae.Here we report a high quality genomic assembly of Nannochloropsis gaditana, consisting of large contigs, up to 500 kbp long, and scaffolds that in most cases span the entire length of chromosomes. We identified 10,646 complete genes and characterized possible alternative transcripts. The annotation of the predicted genes and the analysis of cellular processes revealed traits relevant for the genetic improvement of this organism such as genes involved in DNA recombination, RNA silencing and cell wall synthesis.We also analysed the modification of the transcriptional profile in nitrogen deficiency, a condition known to stimulate lipid accumulation. While the content of lipids increased, we did not detect major changes in expression of the genes involved in their biosynthesis. At the same time we observed a very significant down regulation of mitochondrial gene expression, suggesting that part of the Acetyl-CoA and NAD(P)H, normally oxidized through the mitochondrial respiration, would be made available for fatty acids synthesis, increasing the flux through the lipid biosynthetic pathway.Finally we released an information resource of the genomic data of N. gaditana, available at www.nannochloropsis.org.
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Microalgae are promising feedstock for production of lipids, sugars, bioactive compounds and in particular biofuels, yet development of sensitive and reliable phylotyping strategies for microalgae has been hindered by the paucity of phylogenetically closely-related finished genomes. Using the oleaginous eustigmatophyte Nannochloropsis as a model, we assessed current intragenus phylotyping strategies by producing the complete plastid (pt) and mitochondrial (mt) genomes of seven strains from six Nannochloropsis species. Genes on the pt and mt genomes have been highly conserved in content, size and order, strongly negatively selected and evolving at a rate 33% and 66% of nuclear genomes respectively. Pt genome diversification was driven by asymmetric evolution of two inverted repeats (IRa and IRb): psbV and clpC in IRb are highly conserved whereas their counterparts in IRa exhibit three lineage-associated types of structural polymorphism via duplication or disruption of whole or partial genes. In the mt genomes, however, a single evolution hotspot varies in copy-number of a 3.5Kb-long, cox1-harboring repeat. The organelle markers (e.g., cox1, cox2, psbA, rbcL and rrn16_mt) and nuclear markers (e.g., ITS2 and 18S) that are widely used for phylogenetic analysis obtained a divergent phylogeny for the seven strains, largely due to low SNP density. A new strategy for intragenus phylotyping of microalgae was thus proposed that includes (i) twelve sequence markers that are of higher sensitivity than ITS2 for interspecies phylogenetic analysis, (ii) multi-locus sequence typing based on rps11_mt-nad4, rps3_mt and cox2-rrn16_mt for intraspecies phylogenetic reconstruction and (iii) several SSR loci for identification of strains within a given species. This first comprehensive dataset of organelle genomes for a microalgal genus enabled exhaustive assessment and searches of all candidate phylogenetic markers on the organelle genomes. A new strategy for intragenus phylotyping of microalgae was proposed which may be generally applicable to other microalgal genera and should serve as a valuable tool in the expanding algal biotechnology industry.
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TopHat is a popular spliced aligner for RNA-seq experiments. Here, we describe TopHat2, which incorporates many significant enhancements to TopHat. TopHat2 can align reads of various lengths produced by the latest sequencing technologies, while allowing for variable-length indels with respect to the reference genome. In addition to de novo spliced alignment, TopHat2 can align reads across fusion breaks, which occur after genomic translocations. TopHat2 combines the ability to discover novel splice sites with direct mapping to known transcripts, producing sensitive and accurate alignments, even for highly repetitive genomes or in the presence of pseudogenes. TopHat2 is available at http://ccb.jhu.edu/software/tophat.
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Photosynthetic organisms need to respond frequently to the fluctuation of light quality and light quantity in their habitat. In response to the fluctuation of different single wavelength lights, these organisms have to adjust and optimize the employment of light energy by redistributing excitation energy and remodeling photosystem stoichiometry or light complex structure. However, the response of whole cellular processes to fluctuations in single wavelength light is mostly unknown. Here, we report the transcriptomic and proteomic dynamics and metabolic adaptation mechanisms of Nannochloropsis oceanica to blue and red light. Preferential exposure to different light spectra induces massive reprogramming of the Nannochloropsis transcriptome and proteome. Combined with physiological and biochemical investigation, the rewiring of many cellular processes was observed, including carbon/nitrogen assimilation, photosynthesis, chlorophyll and cartenoid biosynthesis, reactive oxygen species (ROS) scavenging systems, and chromatin state regulation. A strong and rapid regulation of genes or proteins related to nitrogen metabolism, photosynthesis, chlorophyll synthesis, ROS scavenging system, and carotenoid metabolism were observed during 12 h and 24 h of exposure under red light. Additionally, two light harvesting complex proteins induced by blue light and one by red light were observed. The differential responses of N. oceanica to red and blue irradiation reveal how marine microalgae adapt to change in light quality and can be exploited for biofuel feedstock development.
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Over the last decade, it has been increasingly demonstrated that the genomes of many species are pervasively transcribed, resulting in the production of numerous long noncoding RNAs (lncRNAs). At the same time, it is now appreciated that many types of DNA regulatory elements, such as enhancers and promoters, regularly initiate bi-directional transcription. Thus, discerning functional noncoding transcripts from a vast transcriptome is a paramount priority, and challenge, for the lncRNA field. In this review, we aim to provide a conceptual and experimental framework for classifying and elucidating lncRNA function. We categorize lncRNA loci into those that regulate gene expression in cis versus those that perform functions in trans and propose an experimental approach to dissect lncRNA activity based on these classifications. These strategies to further understand lncRNAs promise to reveal new and unanticipated biology with great potential to advance our understanding of normal physiology and disease.
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Microalgae have been studied as biofactories for almost four decades. Yet, even until today, many aspects of microalgae farming and processing are still considered exploratory because of the uniqueness of each microalgal species. Thus, it is important to develop the entire process of microalgae farming: from culturing to harvesting, and down to extracting the desired high-value products. Based on its rapid growth and high oil productivities, Nannochloropsis sp. is of particular interest to many industries for the production of high-value oil containing omega-3 fatty acids, specifically eicosapentaenoic acid (EPA), but also several other products. This review compares the various techniques for induction, harvesting, and extraction of EPA-rich oil and high-value protein explored by academia and industry to develop a multi-product Nannochloropsis biorefinery. Knowledge gaps and opportunities are discussed for culturing and inducing fatty acid biosynthesis, biomass harvesting, and extracting EPA-rich oil and high-value protein from the biomass of Nannochloropsis sp.
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The genome of the filamentous brown alga Ectocarpus was the first to be completely sequenced from within the brown algal group and has served as a key reference genome both for this lineage and for the stramenopiles. We present a complete structural and functional reannotation of the Ectocarpus genome. The large‐scale assembly of the Ectocarpus genome was significantly improved and genome‐wide gene re‐annotation using extensive RNA ‐seq data improved the structure of 11 108 existing protein‐coding genes and added 2030 new loci. A genome‐wide analysis of splicing isoforms identified an average of 1.6 transcripts per locus. A large number of previously undescribed noncoding genes were identified and annotated, including 717 loci that produce long noncoding RNA s. Conservation of lnc RNA s between Ectocarpus and another brown alga, the kelp Saccharina japonica , suggests that at least a proportion of these loci serve a function. Finally, a large collection of single nucleotide polymorphism‐based markers was developed for genetic analyses. These resources are available through an updated and improved genome database. This study significantly improves the utility of the Ectocarpus genome as a high‐quality reference for the study of many important aspects of brown algal biology and as a reference for genomic analyses across the stramenopiles.
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High-throughput sequencing of mRNA (RNA-seq) has become the standard method for measuring and comparing the levels of gene expression in a wide variety of species and conditions. RNA-seq experiments generate very large, complex data sets that demand fast, accurate and flexible software to reduce the raw read data to comprehensible results. HISAT (hierarchical indexing for spliced alignment of transcripts), StringTie and Ballgown are free, open-source software tools for comprehensive analysis of RNA-seq experiments. Together, they allow scientists to align reads to a genome, assemble transcripts including novel splice variants, compute the abundance of these transcripts in each sample and compare experiments to identify differentially expressed genes and transcripts. This protocol describes all the steps necessary to process a large set of raw sequencing reads and create lists of gene transcripts, expression levels, and differentially expressed genes and transcripts. The protocol's execution time depends on the computing resources, but it typically takes under 45 min of computer time. HISAT, StringTie and Ballgown are available from http://ccb.jhu.edu/software.shtml.
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Long noncoding RNAs (lncRNAs) play important roles in various biological regulatory processes in yeast, mammals, and plants. However, no systematic identification of lncRNAs has been reported in Gossypium arboreum. In this study, the strand-specific RNA sequencing (ssRNA-seq) of samples from cotton fibers and leaves was performed, and lncRNAs involved in fiber initiation and elongation processes were systematically identified and analyzed. We identified 5,996 lncRNAs, of which 3,510 and 2,486 can be classified as long intergenic noncoding RNAs (lincRNAs) and natural antisense transcripts (lncNAT), respectively. LincRNAs and lncNATs are similar in many aspects, but have some differences in exon number, exon length, and transcript length. Expression analysis revealed that 51.9% of lincRNAs and 54.5% of lncNATs transcripts were preferentially expressed at one stage of fiber development, and were significantly highly expressed than protein-coding transcripts (21.7%). During the fiber and rapid elongation stages, rapid and dynamic changes in lncRNAs may contribute to fiber development in cotton. This work describes a set of lncRNAs that are involved in fiber development. The characterization and expression analysis of lncRNAs will facilitate future studies on their roles in fiber development in cotton.
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Nannochloropsis oceanica CCMP1779 is a marine unicellular stramenopile and an emerging reference species for basic research on oleogenic microalgae with biotechnological relevance. We investigated its physiology and transcriptome under light/dark cycles. We observed oscillations in lipid content and a predominance of cell division in the first half of the dark phase. Globally, more than 60% of the genes cycled in N. oceanica CCMP1779, with gene expression peaking at different times of the day. Interestingly, the phase of expression of genes involved in certain biological processes was conserved across photosynthetic lineages. Furthermore, in agreement with our physiological studies we found the processes of lipid metabolism and cell division enriched in cycling genes. For example, there was tight coordination of genes involved in the lower part of glycolysis, fatty acid synthesis and lipid production at dawn preceding lipid accumulation during the day. Our results suggest that diel lipid storage plays a key role for N. oceanica CCMP1779 growth under natural conditions making this alga a promising model to gain a basic mechanistic understanding of triacylglycerol production in photosynthetic cells. Our data will help the formulation of new hypotheses on the role of cyclic gene expression in cell growth and metabolism in Nannochloropsis. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
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Short noncoding RNA s have been demonstrated to play important roles in regulation of gene expression and stress responses, but the repertoire and functions of long noncoding RNA s ( l nc RNA s) remain largely unexplored, particularly in plants. To explore the role of l nc RNA s in disease resistance, we used a strand‐specific RNA ‐sequencing approach to identify l nc RNA s responsive to F usarium oxysporum infection in A rabidopsis thaliana . Antisense transcription was found in c . 20% of the annotated A . thaliana genes. Several noncoding natural antisense transcripts responsive to F . oxysporum infection were found in genes implicated in disease defense. While the majority of the novel transcriptionally active regions ( TAR s) were adjacent to annotated genes and could be an extension of the annotated transcripts, 159 novel intergenic TAR s, including 20 F . oxysporum ‐responsive l nc TAR s, were identified. Ten F . oxysporum ‐induced l nc TAR s were functionally characterized using T ‐ DNA insertion or RNA ‐interference knockdown lines, and five were demonstrated to be related to disease development. Promoter analysis suggests that some of the F . oxysporum ‐induced l nc TAR s are direct targets of transcription factor(s) responsive to pathogen attack. Our results demonstrated that strand‐specific RNA sequencing is a powerful tool for uncovering hidden levels of transcriptome and that Inc RNA s are important components of the antifungal networks in A . thaliana .
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The central dogma of gene expression is that DNA is transcribed into messenger RNAs, which in turn serve as the template for protein synthesis. The discovery of extensive transcription of large RNA transcripts that do not code for proteins, termed long noncoding RNAs (lncRNAs), provides an important new perspective on the centrality of RNA in gene regulation. Here, we discuss genome-scale strategies to discover and characterize lncRNAs. An emerging theme from multiple model systems is that lncRNAs form extensive networks of ribonucleoprotein (RNP) complexes with numerous chromatin regulators and then target these enzymatic activities to appropriate locations in the genome. Consistent with this notion, lncRNAs can function as modular scaffolds to specify higher-order organization in RNP complexes and in chromatin states. The importance of these modes of regulation is underscored by the newly recognized roles of long RNAs for proper gene control across all kingdoms of life.