scholarly journals A Comparative Transcriptome Analysis Reveals New Insights into Pre-Harvest Sprouting (PHS) in Wheat

Author(s):  
Xingyan Li ◽  
Hongyu Qiao ◽  
Zeng Wang ◽  
Bing Han ◽  
Yanping Xing ◽  
...  

Abstract Background: pre-harvest sprouting (PHS) is a significant cause of yield loss in cereal crops, and is an important topic of study for the improvement of wheat quality. Many studies have focused on PHS in wheat during the last 10 years, especially on the involvement of abscisic acid (ABA) in PHS, however, a lot remained unknown about this topic.Results: In this study, a PHS resistant line was isolated from an ethylmethane sulfonate (EMS) mutant population derived from the wheat cultivar ‘Long 13-3778’, namely ‘LQ18’. The mutant line LQ18 showed highly significant resistance to PHS compared with the wild-type. Transcriptome sequencing was conducted to determine the differences between the LQ18 mutant and the wild-type at the level of gene expression. The results showed no conclusive evidence that the ABA biosynthesis and signaling pathways contribute to the differences in PHS between the mutant and the wild-type, and some genes and their alleles associated with PHS tolerance showed differential expression between the mutant and wild-type lines. The most interesting result of this study was that the expression levels of the chitinase family genes showed significant differences between the mutant and the wild-type as determined by GO enrichment analysis, and a subsequent analysis of differential expression profiling of the chitinase genes led to the same conclusion.Conclusions: Transcriptomic analysis in this study have revealed the global transcriptome profiles of the PHS sensitive wheat cultivar ‘Long 13-3778’ and its PHS resistant mutants. Furthermore, this study has proposed a possible explanation of the connection between PHS and the chitinase family for the first time, which added to our understanding of PHS and seed dormancy in common wheat.

2019 ◽  
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for solving the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective of small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 160-160
Author(s):  
Ahmad Faisal Karim ◽  
Anthony R. Soltis ◽  
Nadia P Ewing ◽  
Clifton L. Dalgard ◽  
Matthew D. Wilkerson ◽  
...  

The formation of pathological anti-FVIII antibodies, referred to as "inhibitors", is the most serious complication of therapeutic FVIII infusions, affecting up to one third of severe Hemophilia A (HA) patients. Intensive FVIII therapy, i.e. "Immune Tolerance Induction" (ITI), enables ~2/3 of treated patients to achieve peripheral tolerance to FVIII. FVIII inhibitor formation is a classical T-cell dependent adaptive immune response. As such, it requires help from the innate immune system. However, the roles of innate immune cells and mechanisms of inhibitor development versus immune tolerance, achieved with or without ITI therapy, are not well understood. To address these questions, we carried out temporal transcriptomics profiling of FVIII-stimulated peripheral blood mononuclear cells (PBMCs) from HA subjects with and without a current or historic inhibitor using RNA-seq. PBMCs were isolated from 40 subjects in the following groups: (A) HA with an inhibitor that resolved either following ITI or spontaneously; (B) HA with a current inhibitor; (C) HA with no inhibitor history and (D) non-HA healthy controls. PBMCs were rested overnight and then stimulated with 5 nM FVIII, and total RNA was isolated 4, 16, 24 and 48 hours following stimulation. RNA from unstimulated cells at t = 4 hrs served as a negative control. Time-series differential expression analysis was performed with DESeq2 and genes with a log likelihood ratio test FDR <0.05 and an absolute fold change >1.25 at at least one stimulation time point compared to control were deemed significant. Subjects with a resolved past inhibitor (Group A) showed differential expression of only 15 genes. In contrast, subjects with a current inhibitor (Group B) showed differential expression of 56 genes. A clustering analysis divided the temporal trajectories of Group B genes into 3 distinct clusters. Twenty-three genes were up-regulated at 16 hr and 21 genes at 48 hr post-stimulation, respectively. Interestingly, gene ontology (GO) enrichment analysis of these genes revealed enrichments for innate immune modulators, including NLRP3, TLR8, IL32, CLEC10A and COLEC12.NLRP3 and TLR8 are associated with enhanced secretion of the pro-inflammatory cytokines IL-1beta and TNF-alpha, while IL32, which has several isoforms, has been associated with both inflammatory and regulatory immune processes. Expression levels of NLRP3, TLR8, CLEC10A and IL32 transcripts were validated by real time PCR, and changes in RNA transcript abundances correlated well with the RNA-seq results. IL-32 results were validated by both RT-qPCR on an aliquot of the original RNA sample and ELISA to measure the cytokine in supernatants at t=48 hrs. HA subjects with no inhibitor history (Group C) had 195 differentially expressed genes whose temporal profiles fell into 4 distinct clusters. GO enrichment analysis revealed biological processes related to epithelial cell proliferation, responses to toxic substances, and positive/negative regulation of cytokine secretion (TNF, NQO1, PMEPA1). The non-HA healthy control subjects (Group D) also showed cellular responses to ex vivo FVIII stimulation. A total of 63 differentially regulated genes fell into 4 distinct clusters. GO analysis identified expression patterns associated with leukocyte-mediated immunity, T-cell activation, and a hypoxia response. Overall, distinct transcriptional signatures were identified for each of the four groups, providing clues as to cellular mechanisms leading to or accompanying their disparate anti-FVIII antibody responses. We are currently characterizing PBMC immune cell subsets, e.g. macrophages and CD4+ T cells, to identify specific cell types responsible for the differentially regulated genes. Cellular responses of tolerized HA subjects and healthy non-HA controls were consistent with the known immunogenicity of FVIII, including persistence of FVIII-specific CD4+ T cells even in individuals with no measurable FVIII inhibitor. The inflammatory status of HA patients suffering from an ongoing inhibitor clearly includes up-regulation of innate immune modulators, some of which may act as ongoing danger signals that influence the responses to, and eventual outcome of, ITI therapy. Disclosures Pratt: Grifols, Inc: Research Funding; Bloodworks NW: Patents & Royalties: inventor on patents related to FVIII immunogenicity.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7621
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for explaining the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective between small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.


2019 ◽  
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for solving the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective of small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.


2019 ◽  
Author(s):  
Rajiv kumar sah ◽  
Anlan Yang ◽  
Fatoumata Binta Bah ◽  
Salah Adlat ◽  
Ameer Ali Bohio ◽  
...  

AbstractDisconnected interacting 2 homolog A (DIP2A) gene is highly expressed in nervous system and respiratory system of developing embryos. However, genes regulated by Dip2a in developing brain and lung have not been systemically studied. Transcriptome of brain and lung in embryonic 19.5 day (E19.5) were compared between wild type and Dip2a-/- mice. Total RNAs were extracted from brain and lung of E19.5 embryos for RNA-Seq. Clean reads were mapped to mouse reference sequence (mm9) using Tophat and assembled into transcripts by Cufflinks. Edge R and DESeq were applied to identify differentially expressed genes (DEGs) and annotated under GO, COG, KEGG and TF. An average of 50 million reads per sample was mapped to the reference sequence. A total of 214 DEGs were detected in brain (82 up and 132 down) and 1900 DEGs in lung (1259 up and 641 down). GO enrichment analysis indicated that DEGs in both Brain and Lung were mainly enriched in biological processes ‘DNA-templated transcription and Transcription from RNA polymerase II promoter’, ‘multicellular organism development’, ‘cell differentiation’ and ‘apoptotic process’. In addition, COG classification showed that both were mostly involved in ‘Replication, Recombination and Repair’, ‘Signal transduction and mechanism’, ‘Translation, Ribosomal structure and Biogenesis’ and ‘Transcription’. KEGG enrichment analysis showed that brain was mainly enriched in ‘Thryoid cancer’ pathway whereas lung in ‘Complement and Coagulation Cascades’ pathway. Transcription factor (TF) annotation analysis identified Zinc finger domain containing (ZF) proteins were mostly regulated in lung and brain. Interestingly, study identified genes Skor2, Gpr3711, Runx1, Erbb3, Frmd7, Fut10, Sox11, Hapln1, Tfap2c and Plxnb3 from brain that play important roles in neuronal cell maturation, differentiation and survival; genes Hoxa5, Eya1, Ctsh, Erff1, Lama1, Lama2, Rspo2, Sox11, Spry4, Shh, Igf1 and Wnt7a from lung are important in lung development and morphogenesis. Expression levels of the candidate genes were validated by qRT-PCR. Genome wide transcriptional analysis using wild type and Dip2a knockout mice in brain and lung at embryonic day 19.5 (E19.5) provided a genetic basis of molecular function of these genes.


2021 ◽  
Author(s):  
Zhangrui Cheng ◽  
Laura Buggiotti ◽  
Mazdak Salavati ◽  
Cinzia Marchitelli ◽  
Sergio Palma-Vera ◽  
...  

Abstract BackgroundBovine mastitis, an inflammatory disease of the mammary gland, is classified as subclinical or clinical. Circulating neutrophils are recruited to the udder to combat infection. We compared the transcriptomic profiles in circulating leukocytes between healthy cows and those with naturally occurring subclinical or clinical mastitis.Methods and ResultsHolstein Friesian dairy cows from six farms in EU countries were recruited. Based on milk somatic cell count and clinical records, cows were classified as healthy (n = 144), subclinically (n = 48) or clinically mastitic (n = 22). Circulating leukocyte RNA was sequenced with Illumina NextSeq single end reads (30 M). Differentially expressed genes (DEGs) between the groups were identified using a DESeq2 package, followed by GO enrichment analysis. Both subclinical and clinical mastitis caused significant changes in the leukocyte transcriptome, with more intensive changes attributed to clinical mastitis. We detected 491 DEGs between clinical and healthy groups, 350 DEGs between subclinical and healthy groups and 170 DEGs between clinical and subclinical groups. Most DEGs were associated with cell killing and immune processes. Many upregulated DEGs in clinical mastitis encoded antimicrobial peptides (AZU1, CAMP, CATHL1, CATHL2, CATHL4, CATHL5, CATHL6, DEFB1, DEFB10, DEFB4A, DEFB7, LCN2, PGLYRP1, S100A9, TF and LTF) which were not upregulated in subclinical mastitis. This suggests that the leukocytes may have greater killing capacity in cows with clinical mastitis.ConclusionWe have, for the first time, described circulating leukocyte transcriptomic profiles in naturally occurring subclinical mastitis and assessed their differences from healthy cows and those with clinical mastitis.


2021 ◽  
Author(s):  
Hang Zhang ◽  
Wenhan Zhou ◽  
Xiaoyi Yang ◽  
Shuzhan Wen ◽  
Baicheng Zhao ◽  
...  

Abstract Background PTEN is a multifunctional tumor suppressor gene mutating at high frequency in a variety of cancers. However, its expression in pan-cancer, correlated genes, survival prognosis, and regulatory pathways are not completely described. Here, we aimed to conduct a comprehensive analysis from the above perspectives in order to provide reference for clinical application. Methods we studied the expression levels in cancers by using data from TCGA and GTEx database. Obtain expression box plot from UALCAN database. Perform mutation analysis on the cBioportal website. Obtain correlation genes on the GEPIA website. Construct protein network and perform KEGG and GO enrichment analysis on the STRING database. Perform prognostic analysis on the Kaplan-Meier Plotter website. We also performed transcription factor prediction on the PROMO database and performed RNA-RNA association and RNA-protein interaction on the RNAup Web server and RPISEq. The gene 3D structure, protein sequence and conserved domain were obtained in NCBI respectively. Results PTEN was underexpressed in all cancers we studied. It was closely related to the clinical stage of tumors, suggesting PTEN may involved in cancer development and progression. The mutations of PTEN were present in a variety of cancers, most of which were truncation mutations and missense mutations. Among cancers (KIRC, LUAD, THYM, UCEC, Gastric Cancer, Liver Cancer, Lung Cancer, Breast Cancer), patients with low expression of PTEN had a shorter OS time and poorer OS prognosis. The low expression of PTEN can cause the deterioration of RFS in certain cancers (TGCT, UCEC, LIHC, LUAD, THCA), suggesting that the expression of PTEN was related to the clinical prognosis. Our study identified genes correlated with PTEN and performed GO enrichment analysis on 100 PTEN-related genes obtained from the GEPIA website. Conclusions The understanding of PTEN gene and the in-depth exploration of its related regulatory pathways may provide insight for the discovery of tumor-specific biomarkers and clinical potential therapeutic targets.


2020 ◽  
Author(s):  
Vijayakrishna Kolur ◽  
Basavaraj Vastrad ◽  
Chanabasayya Vastrad ◽  
Iranna Kotturshetti ◽  
Anandkumar Tengli

Abstract BackgroundCoronary artery disease (CAD) is one of the most common disorders in the cardiovascular system. This study aims to explore potential signaling pathways and important biomarkers that drive CAD development. MethodsThe CAD GEO Dataset GSE113079 was featured to screen differentially expressed genes (DEGs). The pathway and Gene Ontology (GO) enrichment analysis of DEGs were analyzed using the ToppGene. We screened hub and target genes from protein-protein interaction (PPI) networks, target gene - miRNA regulatory network and target gene - TF regulatory network, and Cytoscape software. Validations of hub genes were performed to evaluate their potential prognostic and diagnostic value for CAD. Results1,036 DEGs were captured according to screening criteria (525upregulated genes and 511downregulated genes). Pathway and Gene Ontology (GO) enrichment analysis of DEGs revealed that these up and down regulated genes are mainly enriched in thyronamine and iodothyronamine metabolism, cytokine-cytokine receptor interaction, nervous system process, cell cycle and nuclear membrane. Hub genes were validated to find out potential prognostic biomarkers, diagnostic biomarkers and novel therapeutic target for CAD. ConclusionsIn summary, our findings discovered pivotal gene expression signatures and signaling pathways in the progression of CAD. CAPN13, ACTBL2, ERBB3, GATA4, GNB4, NOTCH2, EXOSC10, RNF2, PSMA1 and PRKAA1 might contribute to the progression of CAD, which could have potential as biomarkers or therapeutic targets for CAD.


Diagnostics ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 39
Author(s):  
◽  
Chanabasayya Vastrad ◽  
◽  

: Epithelial ovarian cancer (EOC) is the18th most common cancer worldwide and the 8th most common in women. The aim of this study was to diagnose the potential importance of, as well as novel genes linked with, EOC and to provide valid biological information for further research. The gene expression profiles of E-MTAB-3706 which contained four high-grade ovarian epithelial cancer samples, four normal fallopian tube samples and four normal ovarian epithelium samples were downloaded from the ArrayExpress database. Pathway enrichment and Gene Ontology (GO) enrichment analysis of differentially expressed genes (DEGs) were performed, and protein-protein interaction (PPI) network, microRNA-target gene regulatory network and TFs (transcription factors ) -target gene regulatory network for up- and down-regulated were analyzed using Cytoscape. In total, 552 DEGs were found, including 276 up-regulated and 276 down-regulated DEGs. Pathway enrichment analysis demonstrated that most DEGs were significantly enriched in chemical carcinogenesis, urea cycle, cell adhesion molecules and creatine biosynthesis. GO enrichment analysis showed that most DEGs were significantly enriched in translation, nucleosome, extracellular matrix organization and extracellular matrix. From protein-protein interaction network (PPI) analysis, modules, microRNA-target gene regulatory network and TFs-target gene regulatory network for up- and down-regulated, and the top hub genes such as E2F4, SRPK2, A2M, CDH1, MAP1LC3A, UCHL1, HLA-C (major histocompatibility complex, class I, C) , VAT1, ECM1 and SNRPN (small nuclear ribonucleoprotein polypeptide N) were associated in pathogenesis of EOC. The high expression levels of the hub genes such as CEBPD (CCAAT enhancer binding protein delta) and MID2 in stages 3 and 4 were validated in the TCGA (The Cancer Genome Atlas) database. CEBPD andMID2 were associated with the worst overall survival rates in EOC. In conclusion, the current study diagnosed DEGs between normal and EOC samples, which could improve our understanding of the molecular mechanisms in the progression of EOC. These new key biomarkers might be used as therapeutic targets for EOC.


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