De novo transcriptome profiling of mustard aphid (Lipaphis erysimi) and differential expression of transcripts associated with developmental stages, feeding and non-feeding conditions

2019 ◽  
Author(s):  
Rubina Chongtham ◽  
Kirti Kulkarni ◽  
Rohit Nandan Shukla ◽  
Gopal Joshi ◽  
Amar Kumar ◽  
...  
Keyword(s):  
Differential Expression ◽  
Target Genes ◽  
Developmental Stages ◽  
De Novo ◽  
Average Length ◽  
Indian Subcontinent ◽  
Expression Profiles ◽  
Lipaphis Erysimi ◽  
Adult Feeding ◽  
Aphid Control

AbstractLipaphis erysimi is a Brassicaceae specialist aphid, which causes significant losses in yield and/or reduction of oil content of vegetable and oilseed brassicas and is a major pest in the Indian subcontinent. This study reports the de novo transcriptome of L. erysimi for the first time. We also present a comparative analysis of nymphs and adult transcriptomes to study the differential expression profiles associated with different developmental stages as well as different feeding conditions. For this, RNA-seq was performed on three different biological samples adults, nymphs (with all nymph stages pooled) and adults starved for 3 hours (referred to as Adult Feeding, AF; Nymphs Feeding, NF, and Adult Starved_3 hr, ANF samples henceforth). A final transcriptome comprising 52,652 transcripts of 1064bp average length and N50 value of 1806 bp was generated. A total of 27,112 transcripts were annotated with insect proteins from SwissProt, of which 4128 transcripts were components of 165 KEGG pathways. A total of 17,296 transcripts were classified based on their Gene Ontology. Potential transcripts for host selection, detoxification, salivary proteins and effectors, molecular chaperones and developmental genes were identified. A total of 23,532 transcripts that remained unannotated were subjected to BLAST against aphid sequences available at AphidBase and a total of 3091 transcripts had hits with sequences of other aphids in the database, out of which 1380 had protein hits. A total of 20441 found to share no homology to any sequence available in the public domain and could therefore represent novel aphid genes or sequences that are unique to L. erysimi. This is an exploratory study with no biological replicates. However, the significant repertoire of feeding- and development-related genes and their differential expression profiles generated in this study adds to the limited data available on L. erysimi and it would facilitate studies on the molecular basis of aphid feeding and development. This could also allow identification of novel target genes for development of RNAi-based aphid control methods.

scholarly journals Transcriptome and Gene Expression Analysis of Cylas formicarius (Coleoptera: Brentidae) During Different Development Stages

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Juan Ma ◽  
Rongyan Wang ◽  
Xiuhua Li ◽  
Bo Gao ◽  
Shulong Chen
Keyword(s):  
Sweet Potato ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
De Novo ◽  
Average Length ◽  
Expression Profiles ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Cylas Formicarius ◽  
Important Pest

Abstract The sweet potato weevil, Cylas formicarius (F.) (Coleoptera: Brentidae), is an important pest of sweet potato worldwide. However, there is limited knowledge on the molecular mechanisms underlying growth and differentiation of C. formicarius. The transcriptomes of the eggs, second instar larvae, third instar larvae (L3), pupae, females, and males of C. formicarius were sequenced using Illumina sequencing technology for obtaining global insights into developing transcriptome characteristics and elucidating the relative functional genes. A total of 54,255,544 high-quality reads were produced, trimmed, and de novo assembled into 115,281 contigs. 61,686 unigenes were obtained, with an average length of 1,009 nt. Among these unigenes, 17,348 were annotated into 59 Gene Ontology (GO) terms and 12,660 were assigned to 25 Cluster of Orthologous Groups classes, whereas 24,796 unigenes were mapped to 258 pathways. Differentially expressed unigenes between various developmental stages of C. formicarius were detected. Higher numbers of differentially expressed genes (DEGs) were recorded in the eggs versus L3 and eggs versus male samples (2,141 and 2,058 unigenes, respectively) than the others. Genes preferentially expressed in each stage were also identified. GO and pathway-based enrichment analysis were used to further investigate the functions of the DEGs. In addition, the expression profiles of ten DEGs were validated by quantitative real-time PCR. The transcriptome profiles presented in this study and these DEGs detected by comparative analysis of different developed stages of C. formicarius will facilitate the understanding of the molecular mechanism of various living process and will contribute to further genome-wide research.

scholarly journals Comparative Transcriptomic Analysis of Riptortus pedestris (Hemiptera: Alydidae) to Characterize Wing Formation across All Developmental Stages

Insects ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 226
Author(s):  
Siying Fu ◽  
Yujie Duan ◽  
Siqi Wang ◽  
Yipeng Ren ◽  
Wenjun Bu
Keyword(s):  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Average Length ◽  
Transcriptome Assembly ◽  
Expression Profiles ◽  
Economic Losses ◽  
Future Research ◽  
Economic Damage ◽  
Wing Formation ◽  
Riptortus Pedestris

Riptortus pedestris (Hemiptera: Alydidae) is a major agricultural pest in East Asia that causes considerable economic losses to the soybean crop each year. However, the molecular mechanisms governing the growth and development of R. pedestris have not been fully elucidated. In this study, the Illumina HiSeq6000 platform was employed to perform de novo transcriptome assembly and determine the gene expression profiles of this species across all developmental stages, including eggs, first-, second-, third-, fourth-, and fifth-instar nymphs, and adults. In this study, a total of 60,058 unigenes were assembled from numerous raw reads, exhibiting an N50 length of 2126 bp and an average length of 1199 bp, and the unigenes were annotated and classified with various databases, such as the Kyoto Encyclopedia of Genes and Genomes (KEGG), Clusters of Orthologous Groups (COG), and Gene Ontology (GO). Furthermore, various numbers of differentially expressed genes (DEGs) were calculated through pairwise comparisons of all life stages, and some of these DEGs were associated with immunity, metabolism, and development by GO and KEGG enrichment. In addition, 35,158 simple sequence repeats (SSRs) and 715,604 potential single nucleotide polymorphisms (SNPs) were identified from the seven transcriptome libraries of R. pedestris. Finally, we identified and summarized ten wing formation-related signaling pathways, and the molecular properties and expression levels of five wing development-related genes were analyzed using quantitative real-time PCR for all developmental stages of R. pedestris. Taken together, the results of this study may establish a foundation for future research investigating developmental processes and wing formation in hemimetabolous insects and may provide valuable data for pest control efforts attempting to reduce the economic damage caused by this pest.

scholarly journals Single-Molecule Long-Read Sequencing of Purslane (Portulaca oleracea) and Differential Gene Expression Related with Biosynthesis of Unsaturated Fatty Acids

Plants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 655
Author(s):  
Hongmei Du ◽  
Shah Zaman ◽  
Shuiqingqing Hu ◽  
Shengquan Che
Keyword(s):  
Fatty Acids ◽  
Differential Expression ◽  
Single Molecule ◽  
Unsaturated Fatty Acids ◽  
Average Length ◽  
Expression Profiles ◽  
Portulaca Oleracea ◽  
Pcr Analysis ◽  
Sequence Information ◽  
Leaves And Roots

This study aimed to obtain the full-length transcriptome of purslane (Portulaca oleracea); assorted plant samples were used for single-molecule real-time (SMRT) sequencing. Based on SMRT, functional annotation of transcripts, transcript factors (TFs) analysis, simple sequence repeat analysis and long non-coding RNAs (LncRNAs) prediction were accomplished. Total 15.33-GB reads were produced; with 9,350,222 subreads and the average length of subreads, 1640 bp was counted. With 99.99% accuracy, after clustering, 132,536 transcripts and 78,559 genes were detected. All unique SMART transcripts were annotated in seven functional databases. 4180 TFs (including transcript regulators) and 7289 LncRNAs were predicted. The results of RNA-seq were confirmed with qRT–PCR analysis. Illumina sequencing of leaves and roots of two purslane genotypes was carried out. Amounts of differential expression genes and related KEGG pathways were found. The expression profiles of related genes in the biosynthesis of unsaturated fatty acids pathway in leaves and roots of two genotypes of purslane were analyzed. Differential expression of genes in this pathway built the foundation of ω-3 fatty acid accumulation in different organs and genotypes of purslane. The aforementioned results provide sequence information and may be a valuable resource for whole-genome sequencing of purslane in the future.

scholarly journals Characterization of Embryonic Skin Transcriptome in Anser cygnoides at Three Feather Follicles Developmental Stages

2019 ◽  
Vol 10 (2) ◽  
pp. 443-454
Author(s):  
Chang Liu ◽  
Cornelius Tlotliso Sello ◽  
Yujian Sui ◽  
Jingtao Hu ◽  
Shaokang Chen ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Developmental Stages ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Mitogen Activated Protein Kinase ◽  
Receptor Interaction ◽  
Keratinocyte Proliferation ◽  
Skin Development

In order to enrich the Anser cygnoides genome and identify the gene expression profiles of primary and secondary feather follicles development, de novo transcriptome assembly of skin tissues was established by analyzing three developmental stages at embryonic day 14, 18, and 28 (E14, E18, E28). Sequencing output generated 436,730,608 clean reads from nine libraries and de novo assembled into 56,301 unigenes. There were 2,298, 9,423 and 12,559 unigenes showing differential expression in three stages respectively. Furthermore, differentially expressed genes (DEGs) were functionally classified according to genes ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and series-cluster analysis. Relevant specific GO terms such as epithelium development, regulation of keratinocyte proliferation, morphogenesis of an epithelium were identified. In all, 15,144 DEGs were clustered into eight profiles with distinct expression patterns and 2,424 DEGs were assigned to 198 KEGG pathways. Skin development related pathways (mitogen-activated protein kinase signaling pathway, extra-cellular matrix -receptor interaction, Wingless-type signaling pathway) and genes (delta like canonical Notch ligand 1, fibroblast growth factor 2, Snail family transcriptional repressor 2, bone morphogenetic protein 6, polo like kinase 1) were identified, and eight DEGs were selected to verify the reliability of transcriptome results by real-time quantitative PCR. The findings of this study will provide the key insights into the complicated molecular mechanism and breeding techniques underlying the developmental characteristics of skin and feather follicles in Anser cygnoides.

scholarly journals Transcriptomic analyses reveal molecular mechanisms underlying regulation of floral attributes in Lonicera japonica Thunb.

2021 ◽  
Author(s):  
Lei Shi ◽  
Yuan Shen ◽  
Yuhao Chi
Keyword(s):  
Flower Development ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
De Novo ◽  
Floral Scent ◽  
Expression Profiles ◽  
Lonicera Japonica ◽  
Biosynthesis Pathway ◽  
Terpenoid Biosynthesis ◽  
Genes Encoding

Abstract Background Lonicera Japonica Thunb. is a perennial, semi-evergreen and twining vine in the family of Caprifoliaceae, which is widely cultivated in Asia. Thus far, L. japonica is often used to treat some human diseases including COVID-19, H1N1 influenza and hand-foot-and-mouth diseases, however, the regulatory mechanism of intrinsic physiological processes during different floral developmental stages of L. japonica remain largely unknown. Results The complete transcriptome of L. japonica was de novo-assembled and annotated, generating a total of 195850 unigenes, of which 84657 could be functionally annotated. 70 candidate genes involved in flowering transition were identified and the flowering regulatory network of five pathways was constructed in L. japonica. The mRNA transcripts of AGL24 and SOC1 exhibited a downward trend during flowering transition and followed by a gradual increase during the flower development. The transcripts of AP1 was only detected during the floral development, whereas the transcript level of FLC was high during the vegetative stages. The expression profiles of AGL24, SOC1, AP1 and FLC genes indicate that these key integrators might play the essential and evolutionarily conserved roles in control of flowering switch across the plant kingdom. We also identified 54 L. japonica genes encoding enzymes involved in terpenoid biosynthesis pathway. Most highly expressed genes centered on the MEP pathway, suggesting that this plastid pathway might represent the major pathway for terpenoid biosynthesis in L. japonica. In addition, 33 and 31 key genes encoding enzymes involved in the carotenogenesis and anthocyanin biosynthesis pathway were identified, respectively. PSY transcripts gradually increased during the flower development, supporting its role as the first rate-limiting enzyme in carotenoid skeleton production. The expression level of most anthocyanin biosynthetic genes was dramatically decreased during the flower developmental stages, consistent with the decline in the contents of anthocyanin. Conclusion These results identified a large number of potential key regulators controlling flowering time, flower color and floral scent formation in L. japonica, which improves our understanding of the molecular mechanisms underlying the flower traits and flower metabolism, as well as sets the groundwork for quality improvement and molecular breeding of L. japonica.

scholarly journals De novo characterization of the Lycium ruthenicum transcriptome and analysis of its digital gene expression profiles during fruit development and ripening

2017 ◽  
Vol 69 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Yong Peng ◽  
Huiqin Ma ◽  
Shangwu Chen
Keyword(s):  
Gene Expression ◽  
Developmental Stages ◽  
De Novo ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Digital Gene Expression ◽  
Orthologous Group ◽  
Functional Studies ◽  
Lycium Ruthenicum

Lycium ruthenicum Murr., which belongs to the family Solanaceae, is a resource plant for Chinese traditional medicine and nutraceutical foods. In this study, RNA sequencing was applied to obtain raw reads of L. ruthenicum fruit at different stages of ripening, and a de novo assembly of its sequence was performed. Approximately 52.45 million 100-bp paired-end raw reads were generated from the samples by deep RNA-seq analysis. These short reads were assembled to obtain 164814 contigs, and the contigs were assembled into 84968 non-redundant unigenes using the Trinity method. Assembled sequences were annotated with gene descriptions, gene ontology, clusters of orthologous group and KEGG (Kyoto Encyclopedia of Genes and Genomes)pathway terms. Digital gene expression analysis was applied to compare gene-expression patterns at different fruit developmental stages. These results contribute to existing sequence resources for Lycium spp. during the fruit-ripening stages, which is valuable for further functional studies of genes involved in L. ruthenicum fruit nutraceutical quality.

scholarly journals Identification of mRNA and Long Non-Coding RNA Expression Profiles in Developing Yorkshire Pig Spleens

2021 ◽  
Author(s):  
Xinjian Li ◽  
Xuelei Han ◽  
Caixia Sun ◽  
Gaiying Li ◽  
Kejun Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Target Genes ◽  
Developmental Stages ◽  
Expression Profiles ◽  
Enrichment Analysis ◽  
Economic Loss ◽  
Differentially Expressed ◽  
Farm Animals ◽  
Lncrna Expression ◽  
Lncrna Transcript

Abstract Background: Epidemic diseases cause great economic loss in pig farms each year, some of which are characterized mainly in spleen. Yorkshire pig is the most popular used first dam in the commercial pork production system. But the mRNA and lncRNA expression networks in developing Yorkshire pig spleens remain obscure. Results: Here, we profiled the systematic characters of mRNA and lncRNA repertoires in three groups of spleens from nine Yorkshire pigs, each three aged at 7 days, 90 days and 180 days. By using a precise mRNA and lncRNA identification pipeline, we identified 19,647 genes and 219 known and 3,219 putative lncRNA transcripts, 1,729 genes and 64 lncRNAs therein were found to express differentially in three groups. Gene expression characteristics of genes and lncRNAs were found to be basically fixed before 90 days after birth. Enrichment analysis of differentially expressed genes and potential target genes of differentially expressed lncRNAs both displayed crucial roles of up-regulation in immune activation and hematopoiesis and down-regulation in cell replication and division in 90 and 180 days compared to 7 days. The unregulated terms and their significance levels in 90 and 180 days both showed an extremely high degree of consistency. ENSSSCT00000001325 was the only lncRNA transcript that existed in three groups. CDK1, PCNA and PLK were detected to be hub genes that varied with age. BNIP3L, IL5, CD38 and TGFβ1 were found to be common top regulators from 7 to 90 and 180 days while ERAP1, NLRC5 and IL2RG were top regulators from 90 to 180 days.Conclusions: This study provided the first mRNA and lncRNA expression profiles in Yorkshire spleens at three developmental stages. We established gene expression modules and networks in the spleen of pigs from immune system initiation to adulthood. Our results are helpful for the study of transcriptome and functional genomics of spleen tissue in farm animals.

scholarly journals Restored lncRNAs After ART Therapy Have Potential Key Roles in the Recovery From AIDS

2021 ◽  
Author(s):  
Yingying Zhou ◽  
Yuqing Huang ◽  
Tielong Chen ◽  
Wenjia Hu ◽  
Xiaoping Chen ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Differential Expression ◽  
Art Therapy ◽  
Target Genes ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Effective Control ◽  
Rna Seq ◽  
Peripheral Blood Mononuclear ◽  
Hiv Pathogenesis

Abstract Background: Many studies have shown that long noncoding RNAs (lncRNAs) derived from the host and human immunodeficiency virus (HIV) itself play important roles in virus-host interactions and viral pathogenesis. To identify potential key lncRNAs in the regulation of HIV pathogenesis, transcriptome analysis of peripheral blood mononuclear cells (PBMCs), which were derived from 6 HIV/acquired immunodeficiency syndrome (AIDS) subjects pre-HAART and post-HAART with effective control of plasma viremia (<20 HIV RNA copies/ml) and 6 healthy subjects, was performed by RNA sequencing (RNA-seq).Results: We identified a total of 974 lncRNAs whose expression levels were restored to normal after ART therapy. The results of the cis-acting analysis showed that only six lncRNAs have cis-regulated target genes, among which the target gene RP11-290F5.1, interferon regulatory factors 2 (IRF2), could promote HIV replication. We also identified lncRNA CTB-119C2.1, which regulates most mRNAs with differential expression between pre- and post-HAART, and the differences were significant. We selected lncRNA CTB-119C2.1 for qRT–PCR verification, and the results were consistent with those of RNA-seq. RAB3A and GADD45A, two of the lncRNA CTB-119C2.1-associated genes, have been shown to be associated with HIV infection. KEGG analysis of lncRNA CTB-119C2.1-associated genes revealed that most of the genes are involved in the p53 signaling pathway or pathways related to cell circulation and DNA replicationConclusion: In this study, we used RNA-seq to systematically compare the expression profiles of lncRNAs in HIV subjects between untreated and treated time points. We successfully identified some lncRNAs with differential expression during certain periods (no HIV infection, HIV infection before treatment, and after treatment). Their expression is associated with viral loads, and some of their regulating genes were found to be involved in HIV pathogenesis through bioinformatic analysis. These findings could help to reveal the underlying molecular mechanism of the progression of AIDS.

scholarly journals Characterization of the microRNA Expression Profiles in the Goat Kid Liver

2022 ◽  
Vol 12 ◽  
Author(s):  
Xiaodong Zhao ◽  
Zhibin Ji ◽  
Rong Xuan ◽  
Aili Wang ◽  
Qing Li ◽  
...  
Keyword(s):  
Differential Expression ◽  
Fatty Acid Synthase ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Metabolic Process ◽  
Liver Development ◽  
Hormone Synthesis ◽  
Liver Tissues

The liver is the largest digestive gland in goats with an important role in early metabolic function development. MicroRNAs (miRNA) are crucial for regulating the development and metabolism in the goat liver. In the study, we sequenced the miRNAs in the liver tissues of the goat kid to further research their regulation roles in early liver development. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day (D1), 2 weeks (W2), 4 weeks (W4), 8 weeks (W8), and 12 weeks (W12) after birth, respectively with five goats per time point, for a total of 25 goats. Our study identified 214 differential expression miRNAs, and the expression patterns of 15 randomly selected miRNAs were examined among all five age groups. The Gene ontology annotation results showed that differential expression miRNA (DE miRNA) target genes were significantly enriched in the fatty acid synthase activity, toxin metabolic process, cell surface, and antibiotic metabolic process. The KEGG analysis result was significantly enriched in steroid hormone synthesis and retinol metabolism pathways. Further miRNA-mRNA regulation network analysis reveals 9 differently expressed miRNA with important regulation roles. Overall, the DE miRNAs were mainly involved in liver development, lipid metabolism, toxin related metabolism-related biological process, and pathways. Our results provide new information about the molecular mechanisms and pathways in the goat kid liver development.

scholarly journals BrassicaEDB: A Gene Expression Database for Brassica Crops

2020 ◽  
Vol 21 (16) ◽  
pp. 5831 ◽  
Author(s):  
Haoyu Chao ◽  
Tian Li ◽  
Chaoyu Luo ◽  
Hualei Huang ◽  
Yingfei Ruan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Target Genes ◽  
Developmental Stages ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Expression Level ◽  
Level Data ◽  
Rapeseed Cultivar ◽  
Transcriptome Level

The genus Brassica contains several economically important crops, including rapeseed (Brassica napus, 2n = 38, AACC), the second largest source of seed oil and protein meal worldwide. However, research in rapeseed is hampered because it is complicated and time-consuming for researchers to access different types of expression data. We therefore developed the Brassica Expression Database (BrassicaEDB) for the research community. In the current BrassicaEDB, we only focused on the transcriptome level in rapeseed. We conducted RNA sequencing (RNA-Seq) of 103 tissues from rapeseed cultivar ZhongShuang11 (ZS11) at seven developmental stages (seed germination, seedling, bolting, initial flowering, full-bloom, podding, and maturation). We determined the expression patterns of 101,040 genes via FPKM analysis and displayed the results using the eFP browser. We also analyzed transcriptome data for rapeseed from 70 BioProjects in the SRA database and obtained three types of expression level data (FPKM, TPM, and read counts). We used this information to develop the BrassicaEDB, including “eFP”, “Treatment”, “Coexpression”, and “SRA Project” modules based on gene expression profiles and “Gene Feature”, “qPCR Primer”, and “BLAST” modules based on gene sequences. The BrassicaEDB provides comprehensive gene expression profile information and a user-friendly visualization interface for rapeseed researchers. Using this database, researchers can quickly retrieve the expression level data for target genes in different tissues and in response to different treatments to elucidate gene functions and explore the biology of rapeseed at the transcriptome level.

Sign in / Sign up

Export Citation Format

Share Document