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April 21, 2020

Full-length mRNA sequencing in Saccharina japonica and identification of carbonic anhydrase genes

The carbonic anhydrases (CAs) are a group of enzymes that play an important role in the absorption and transportation of CO2 in Saccharina japonica. They are encoded by a superfamily of genes with seven subtypes that are unrelated in sequence but share conserved function in catalyzing the reversible conversion of CO2 and HCO3-. Here we have characterized the CA members in the transcriptome of S. japonica using Single-molecule real-time (SMRT) sequencing technology. Approximately 9830.4 megabases from 5,028,003 quality subreads were generated, and they were assembled into 326,512 full-length non-chimeric (FLNC) reads, with an average flnc read length of 2181 bp. After removing redundant sequences, 79,010 unique transcripts were obtained of which 38,039 transcripts were successfully annotated. From the full-length transcriptome, we have identified 7 full-length cDNA sequences for CA genes (4 a-CAs, 1 ß-CAs and 2 ?-CAs) and assessed for their potential functions based on phylogenetic analysis. Characterizations of CAs will provide the ground for future studies to determine the involvement of CAs in inorganic carbon absorption and transportation in S. japonica.


April 21, 2020

Analysis of Chromosomal Numbers, Mitochondrial Genome, and Full-Length Transcriptome of Onychostoma brevibarba.

Onychostoma brevibarba is a new discovered species which is distributed in Xiang Jiang River of the middle Chang Jiang basin in Hunan Province, South China. In this study, the ploidy levels of O. brevibarba were confirmed by counting chromosomal numbers and analyzing karyotype. The complete mitochondrial genome of O. brevibarba was determined and analyzed. Besides, we firstly performed the full-length transcriptome of O. brevibarba derived from 5 different tissues using the PacBio SMRT sequencing. The result shows that O. brevibarba was a diploid with 48 chromosomes. The complete mitogenome of O. brevibarba was 16,602 bp in size and very similar (89.1-91.3%) to that of other Onychostoma species but was distinct from all congeners. The full-length transcriptome dataset of O. brevibarba comprised 120,239 unigenes. Among the unigenes, 91,542 were functionally annotated, whereas 26,794 were found to have two or more isoforms. This study could provide many new insights into cytology and molecular characteristics of O. brevibarba; it laid the foundation for further exploration of the genomic signatures of species of Onychostoma.


April 21, 2020

Discovery of unique single nucleotide polymorphisms in rice in response to high nighttime temperature stress using a hybrid sequencing strategy

Global warming-associated increases in temperature, particularly at nighttime, are detrimental to rice grain filling, ultimately leading to losses in grain weight. However, the molecular mechanisms associated with grain weight loss in rice exposed to high nighttime temperature stress are poorly understood. To screen the genes and single nucleotide polymorphisms (SNPs) associated with high nighttime temperature stress in rice, a hybrid sequencing strategy was used to analyze the differentially expressed genes and SNPs between two rice coisogenic strains, a heat-tolerant strain (HTS) and heat-sensitive strain (HSS), following short-term extreme high nighttime temperature stress at the first stage of seed ripening. Ultimately, 56 genes were differentially expressed between HTS and HSS. After short-term extreme high nighttime temperature stress, genes involved in photosynthesis, oxidation, and detoxication by glutathione were upregulated in HSS in comparison to HTS, while that of the heat response-related transcription factor genes were significantly upregulated in HTS in comparison to HSS. Unique SNPs located on the genes peroxidase precursor, glutathione S-transferase GSTU6, glycosyl hydrolases, carboxyvinyl-carboxyphosphonate phosphorylmutase, and prolamin precursor PROLM3 were present in HTS but absent from HSS and showed slight alterations in gene expression between HTS and HSS. The proposed model indicated that high nighttime temperature enhanced cellular respiration, disturbed the oxidant-antioxidant balance, and consumed energy-rich substances, ultimately leading to reduced grain yield in HSS in contrast to HTS. These genes and unique SNPs provide genetic resources for the breeding of heat-tolerant rice varieties, and the model provides insights into the molecular basis of the response of rice to high nighttime temperature stress.


April 21, 2020

Different knockout genotypes of OsIAA23 in rice using CRISPR/Cas9 generating different phenotypes.

We have isolated several Osiaa23 rice mutants with different knockout genotypes, resulting in different phenotypes, which suggested that different genetic backgrounds or mutation types influence gene function. The Auxin/Indole-3-Acetic Acid (Aux/IAA) gene family performs critical roles in auxin signal transduction in plants. In rice, the gene OsIAA23 (Os06t0597000) is known to affect development of roots and shoots, but previous knockouts in OsIAA23 have been sterile and difficult for research continuously. Here, we isolate new Osiaa23 mutants using the CRISPR/Cas9 system in japonica (Wuyunjing24) and indica (Kasalath) rice, with extensive genome re-sequencing to confirm the absence of off-target effects. In Kasalath, mutants with a 13-amino acid deletion showed profoundly greater dwarfing, lateral root developmental disorder, and fertility deficiency, relative to mutants with a single amino acid deletion, demonstrating that those 13 amino acids in Kasalath are essential to gene function. In Wuyunjing24, we predicted that mutants with a single base-pair frameshift insertion would experience premature termination and strong phenotypic defects, but instead these lines exhibited negligible phenotypic difference and normal fertility. Through RNA-seq, we show here that new mosaic transcripts of OsIAA23 were produced de novo, which circumvented the premature termination and thereby preserved the wild-type phenotype. This finding is a notable demonstration in plants that mutants can mask loss of function CRISPR/Cas9 editing of the target gene through de novo changes in alternative splicing.


April 21, 2020

Full-length transcriptome and microRNA sequencing reveal the specific gene-regulation network of velvet antler in sika deer with extremely different velvet antler weight.

Velvet antler displays the fastest and most robust tissue proliferation in the animal world, it is a model for a complete organ development/regeneration, and alternative medicine, tonic made from velvet antler, was beneficial for human. The weight of velvet antler had high biomedical and economic value, but the related regulation mechanisms controlling velvet antler weight remain unclear. In this study, extremely heavy and light velvet antler groups were selected from a sika deer population of 100 individuals with extreme velvet antler weight. A combination of full-length transcriptome sequencing and microRNA sequencing to the proliferation zone in the tip of velvet antler was applied. A total of 55306 transcripts and 1082 microRNAs were identified. Some highly expressed genes (COL1A1, COL1A2, COL3A1, FN1, and ATP6) and microRNAs (miR-21, let-7i, and miR-27b) were highly correlated with the physiological and growth characteristics of velvet antlers. Among the 334 differentially expressed genes, we found that most of the genes were located in the developmental process, especially animal organ development process. It is exciting to see that more blood vessels were found in the growing tip of heavy velvet antler through histological observation, and GO term of blood vessel development was also significant different between two groups. The combination analysis with mRNA and microRNA data in velvet antler showed a specific regulation network involved in the development of bone, mesenchyme, cartilage, and blood vessel, and helped us clearly find out the candidate 14 genes and 6 microRNAs, which could be used for selecting significant DNA markers of velvet antler weight.


April 21, 2020

Whole-Genome Alignment and Comparative Annotation.

Rapidly improving sequencing technology coupled with computational developments in sequence assembly are making reference-quality genome assembly economical. Hundreds of vertebrate genome assemblies are now publicly available, and projects are being proposed to sequence thousands of additional species in the next few years. Such dense sampling of the tree of life should give an unprecedented new understanding of evolution and allow a detailed determination of the events that led to the wealth of biodiversity around us. To gain this knowledge, these new genomes must be compared through genome alignment (at the sequence level) and comparative annotation (at the gene level). However, different alignment and annotation methods have different characteristics; before starting a comparative genomics analysis, it is important to understand the nature of, and biases and limitations inherent in, the chosen methods. This review is intended to act as a technical but high-level overview of the field that should provide this understanding. We briefly survey the state of the genome alignment and comparative annotation fields and potential future directions for these fields in a new, large-scale era of comparative genomics.


April 21, 2020

Genome-wide Transcript Structure Resolution Reveals Abundant Alternate Isoform Usage from Murine Gammaherpesvirus 68.

The gammaherpesviruses, including Epstein-Barr virus (EBV), Kaposi’s sarcoma-associated herpesvirus (KSHV), and murine gammaherpesvirus 68 (MHV68, MuHV-4, ?HV68), are etiologic agents of a wide range of lymphomas and non-hematological malignancies. These viruses possess large and highly dense dsDNA genomes that feature >80 bidirectionally positioned open reading frames (ORFs). The abundance of overlapping transcripts and extensive splicing throughout these genomes have until now prohibited high throughput-based resolution of transcript structures. Here, we integrate the capabilities of long-read sequencing with the accuracy of short-read platforms to globally resolve MHV68 transcript structures using the transcript resolution through integration of multi-platform data (TRIMD) pipeline. This approach reveals highly complex features, including: (1) pervasive overlapping transcript structures; (2) transcripts containing intra-gene or trans-gene splices that yield chimeric ORFs; (3) antisense and intergenic transcripts containing ORFs; and (4) noncoding transcripts. This work sheds light on the underappreciated complexity of gammaherpesvirus transcription and provides an extensively revised annotation of the MHV68 transcriptome. Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.


April 21, 2020

Genome-wide analysis of methyl jasmonate-regulated isoform expression in the medicinal plant Andrographis paniculata

Alternative splicing can increase the complexity of the transcriptome and proteome. The most common mechanism of alternative splicing in plants is intron retention (IR), and the expression levels of IR isoforms can be differentially regulated when facing abiotic stress. The full-length transcriptome of the medicinal plant Andrographis paniculata was sequenced using both Illumina- and SMRT-based RNA-seq and a total of 4846 IR isoforms were identified. The expression levels of 310/296 IR isoforms were up-regulated, and 629/659 IR isoforms were down-regulated at 24?h/48?h after methyl jasmonate (MeJA) treatment, respectively. In the (E,E,E)-geranylgeranyl diphosphate (GGPP) biosynthesis pathway which contributes to the andrographolide biosynthesis, eight genes were alternatively spliced, resulting in a total of 25 isoforms, of which 12 are IR isoforms. After MeJA treatment, four of these IR isoforms showed significant differential expression. RT-PCR and qRT-PCR experiments confirmed the existence of five IR isoforms. This research deepens our understanding of the A. paniculata transcriptome and can assist in the future study of andrographolide biosynthesis.


April 21, 2020

Potential use of the Pteris vittata arsenic hyperaccumulation-regulation network for phytoremediation.

Arsenic accumulation in soil is a global problem typically addressed using phytoremediation methods. Pteris vittata, a model arsenic hyperaccumulator, has great potential as a genetically engineered plant for phytoremediation. However, the lack of omic information on this species has severely limited the identification and application of its arsenic hyperaccumulation and regulation components. In this study, we used an optimized single-molecular real-time (SMRT) strategy to create a de novo full-length transcriptomic-tonoplast proteomic database for this unsequenced fern and to determine the genetic components underlying its arsenic hyperaccumulation-regulation mechanisms. We established a comprehensive network consisting of six major transporter families, two novel resistance pathways, and a regulatory system by examining alternative splicing (AS) and long non-coding RNA (lncRNA) in different tissues following As(III) and As(V) treatment. The database and network established in this study will deepen our understanding of the unique hyperaccumulation and regulation mechanisms of P. vittata, ultimately providing a valuable resource for futher research on phytoremediation of arsenic-contaminated soil. Copyright © 2019 Elsevier B.V. All rights reserved.


April 21, 2020

Long-Read Annotation: Automated Eukaryotic Genome Annotation Based on Long-Read cDNA Sequencing.

Single-molecule full-length complementary DNA (cDNA) sequencing can aid genome annotation by revealing transcript structure and alternative splice forms, yet current annotation pipelines do not incorporate such information. Here we present long-read annotation (LoReAn) software, an automated annotation pipeline utilizing short- and long-read cDNA sequencing, protein evidence, and ab initio prediction to generate accurate genome annotations. Based on annotations of two fungal genomes (Verticillium dahliae and Plicaturopsis crispa) and two plant genomes (Arabidopsis [Arabidopsis thaliana] and Oryza sativa), we show that LoReAn outperforms popular annotation pipelines by integrating single-molecule cDNA-sequencing data generated from either the Pacific Biosciences or MinION sequencing platforms, correctly predicting gene structure, and capturing genes missed by other annotation pipelines. © 2019 American Society of Plant Biologists. All Rights Reserved.


April 21, 2020

Genome-Scale Sequence Disruption Following Biolistic Transformation in Rice and Maize.

Biolistic transformation delivers nucleic acids into plant cells by bombarding the cells with microprojectiles, which are micron-scale, typically gold particles. Despite the wide use of this technique, little is known about its effect on the cell’s genome. We biolistically transformed linear 48-kb phage lambda and two different circular plasmids into rice (Oryza sativa) and maize (Zea mays) and analyzed the results by whole genome sequencing and optical mapping. Although some transgenic events showed simple insertions, others showed extreme genome damage in the form of chromosome truncations, large deletions, partial trisomy, and evidence of chromothripsis and breakage-fusion bridge cycling. Several transgenic events contained megabase-scale arrays of introduced DNA mixed with genomic fragments assembled by nonhomologous or microhomology-mediated joining. Damaged regions of the genome, assayed by the presence of small fragments displaced elsewhere, were often repaired without a trace, presumably by homology-dependent repair (HDR). The results suggest a model whereby successful biolistic transformation relies on a combination of end joining to insert foreign DNA and HDR to repair collateral damage caused by the microprojectiles. The differing levels of genome damage observed among transgenic events may reflect the stage of the cell cycle and the availability of templates for HDR. © 2019 American Society of Plant Biologists. All rights reserved.


April 21, 2020

Characterization and analysis of the transcriptome in Gymnocypris selincuoensis on the Qinghai-Tibetan Plateau using single-molecule long-read sequencing and RNA-seq.

The lakes on the Qinghai-Tibet Plateau (QTP) are the largest and highest lake group in the world. Gymnocypris selincuoensis is the only cyprinid fish living in lake Selincuo, the largest lake on QTP. However, its genetic resource is still blank, limiting studies on molecular and genetic analysis. In this study, the transcriptome of G. selincuoensis was first generated by using PacBio Iso-Seq and Illumina RNA-seq. A full-length (FL) transcriptome with 75,435 transcripts was obtained by Iso-Seq with N50 length of 3,870 bp. Among all transcripts, 75,016 were annotated to public databases, 64,710 contain complete open reading frames and 2,811 were long non-coding RNAs. Based on all- vs.-all BLAST, 2,069 alternative splicing events were detected, and 80% of them were validated by reverse transcription polymerase chain reaction (RT-PCR). Tissue gene expression atlas showed that the number of detected expressed transcripts ranged from 37,397 in brain to 19,914 in muscle, with 10,488 transcripts detected in all seven tissues. Comparative genomic analysis with other cyprinid fishes identified 77 orthologous genes with potential positive selection (Ka/Ks > 0.3). A total of 56,696 perfect simple sequence repeats were identified from FL transcripts. Our results provide valuable genetic resources for further studies on adaptive evolution, gene expression and population genetics in G. selincuoensis and other congeneric fishes. © The Author(s) 2019. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.


April 21, 2020

Full-length transcriptome analysis of Litopenaeus vannamei reveals transcript variants involved in the innate immune system.

To better understand the immune system of shrimp, this study combined PacBio isoform sequencing (Iso-Seq) and Illumina paired-end short reads sequencing methods to discover full-length immune-related molecules of the Pacific white shrimp, Litopenaeus vannamei. A total of 72,648 nonredundant full-length transcripts (unigenes) were generated with an average length of 2545 bp from five main tissues, including the hepatopancreas, cardiac stomach, heart, muscle, and pyloric stomach. These unigenes exhibited a high annotation rate (62,164, 85.57%) when compared against NR, NT, Swiss-Prot, Pfam, GO, KEGG and COG databases. A total of 7544 putative long noncoding RNAs (lncRNAs) were detected and 1164 nonredundant full-length transcripts (449 UniTransModels) participated in the alternative splicing (AS) events. Importantly, a total of 5279 nonredundant full-length unigenes were successfully identified, which were involved in the innate immune system, including 9 immune-related processes, 19 immune-related pathways and 10 other immune-related systems. We also found wide transcript variants, which increased the number and function complexity of immune molecules; for example, toll-like receptors (TLRs) and interferon regulatory factors (IRFs). The 480 differentially expressed genes (DEGs) were significantly higher or tissue-specific expression patterns in the hepatopancreas compared with that in other four tested tissues (FDR <0.05). Furthermore, the expression levels of six selected immune-related DEGs and putative IRFs were validated using real-time PCR technology, substantiating the reliability of the PacBio Iso-seq results. In conclusion, our results provide new genetic resources of long-read full-length transcripts data and information for identifying immune-related genes, which are an invaluable transcriptomic resource as genomic reference, especially for further exploration of the innate immune and defense mechanisms of shrimp. Copyright © 2019 Elsevier Ltd. All rights reserved.


April 21, 2020

TranscriptClean: variant-aware correction of indels, mismatches and splice junctions in long-read transcripts.

Long-read, single-molecule sequencing platforms hold great potential for isoform discovery and characterization of multi-exon transcripts. However, their high error rates are an obstacle to distinguishing novel transcript isoforms from sequencing artifacts. Therefore, we developed the package TranscriptClean to correct mismatches, microindels and noncanonical splice junctions in mapped transcripts using the reference genome while preserving known variants.Our method corrects nearly all mismatches and indels present in a publically available human PacBio Iso-seq dataset, and rescues 39% of noncanonical splice junctions.All Python and R scripts used in this paper are available at https://github.com/dewyman/TranscriptClean.


April 21, 2020

TaF: a web platform for taxonomic profile-based fungal gene prediction.

The accurate prediction and annotation of gene structures from the genome sequence of an organism enable genome-wide functional analyses to obtain insight into the biological properties of an organism.We recently developed a highly accurate filamentous fungal gene prediction pipeline and web platform called TaF. TaF is a homology-based gene predictor employing large-scale taxonomic profiling to search for close relatives in genome queries.TaF pipeline consists of four processing steps; (1) taxonomic profiling to search for close relatives to query, (2) generation of hints for determining exon-intron boundaries from orthologous protein sequence data of the profiled species, (3) gene prediction by combination of ab inito and evidence-based prediction methods, and (4) homology search for gene models.TaF generates extrinsic evidence that suggests possible exon-intron boundaries based on orthologous protein sequence data, thus reducing false-positive predictions of gene structure based on distantly related orthologs data. In particular, the gene prediction method using taxonomic profiling shows very high accuracy, including high sensitivity and specificity for gene models, suggesting a new approach for homology-based gene prediction from newly sequenced or uncharacterized fungal genomes, with the potential to improve the quality of gene prediction.TaF will be a useful tool for fungal genome-wide analyses, including the identification of targeted genes associated with a trait, transcriptome profiling, comparative genomics, and evolutionary analysis.


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