scholarly journals Assessment of the differential gene expression in anthracnose treated seedlings of yellow lupin

Author(s):  
E. N. Sysoliatin ◽  
V. S. Anokhina ◽  
N. V. Anisimova ◽  
O. G. Babak ◽  
A. V. Kilchevsky

Seedlings of yellow lupine treated with Colletotrichum lupini isolate were studied by the method of SRAP-analysis with the purpose to assess the differential expression of genes. As a result, the PCR fragment corresponding to tolerant seedlings was found. The genetic determinants found are likely involved in the control of the resistance (tolerance) of lupine plants to anthracnose.

2019 ◽  
Author(s):  
Wen-Juan Ma ◽  
Fantin Carpentier ◽  
Tatiana Giraud ◽  
Michael Hood

AbstractIn animals and plants, differential expression of genes on sex chromosomes is widespread and it is usually considered to result from sexually antagonistic selection; however differential expression can also be caused by asymmetrical sequence degeneration in non-recombining sex chromosomes, which has been very little studied. The anther-smut fungus Microbotryum lychnidis-dioicae is ideal to investigate the extent to which differential gene expression is associated with sequence degeneration because: 1) separate haploid cultures of opposite mating types help identify differential expression, 2) its mating-type chromosomes display multiple evolutionary strata reflecting successive events of gene linkage to the mating-type loci, and 3) antagonistic selection is unlikely between isogamous haploid mating types. We therefore tested the hypothesis that differential gene expression between mating types resulted from sequence degeneration. We found that genes showing differential expression between haploid mating types were enriched only on the oldest evolutionary strata of the mating-type chromosomes and were associated with multiple signatures of sequence degeneration. We found that differential expression between mating types was associated with elevated differences between alleles in non-synonymous substitution rates, indels and premature stop codons, transposable element insertions, and altered intron and GC content. Our findings strongly suggest that degenerative mutations are important in the evolution of differential expression in non-recombining regions. Our results are relevant for a broad range of taxa where mating compatibility or sex is determined by genes located in large regions of recombination suppression, showing that differential expression should not be taken as necessarily arising from antagonistic selection.Author SummaryDifferences between males and females, from morphology to behavior and physiology, are considered to largely reflect differential expression of genes that maximize fitness benefits relative to costs that are specific to one sex. However, there is an unexplored alternative to such ‘sexually antagonistic selection’ to explain differential expression. Reproductive compatibility is often determined by genes located in large non-recombining chromosomal regions, where degenerative mutations are expected to accumulate and may separately affect the expression of alternate alleles of genes. We tested the role of genetic degeneration in determining differential expression between the isogamous haploid mating types of the anther-smut fungus, Microbotryum lychnidis-dioicae, where sexually antagonistic selection is not a confounding factor. We show that differentially expressed genes are highly enriched in the non-recombining mating-type chromosomes, and that they are associated with various forms of degenerative mutations, some of which indicate that the less expressed allele suffers greater mutational effects. Our finding of the role for degenerative mutations in the evolution of differential expression is relevant for a broad range of organisms where reproductive compatibility or sex is determined by genes in regions of suppressed recombination, and shows that differential expression should not be taken as necessarily arising from antagonistic selection.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Saivageethi Nuthikattu ◽  
Dragan Milenkovic ◽  
John Rutledge ◽  
Amparo Villablanca

AbstractHyperlipidemia is a risk factor for dementia, and chronic consumption of a Western Diet (WD) is associated with cognitive impairment. However, the molecular mechanisms underlying the development of microvascular disease in the memory centers of the brain are poorly understood. This pilot study investigated the nutrigenomic pathways by which the WD regulates gene expression in hippocampal brain microvessels of female mice. Five-week-old female low-density lipoprotein receptor deficient (LDL-R−/−) and C57BL/6J wild type (WT) mice were fed a chow or WD for 8 weeks. Metabolics for lipids, glucose and insulin were determined. Differential gene expression, gene networks and pathways, transcription factors, and non-protein coding RNAs were evaluated by genome-wide microarray and bioinformatics analysis of laser captured hippocampal microvessels. The WD resulted in differential expression of 2,412 genes. The majority of differential gene expression was attributable to differential regulation of cell signaling proteins and their transcription factors, approximately 7% was attributable to differential expression of miRNAs, and a lesser proportion was due to other non-protein coding RNAs, primarily long non-coding RNAs (lncRNAs) and small nucleolar RNAs (snoRNAs) not previously described to be modified by the WD in females. Our findings revealed that chronic consumption of the WD resulted in integrated multilevel molecular regulation of the hippocampal microvasculature of female mice and may provide one of the mechanisms underlying vascular dementia.


2019 ◽  
Vol 20 (23) ◽  
pp. 6098 ◽  
Author(s):  
Amarinder Singh Thind ◽  
Kumar Parijat Tripathi ◽  
Mario Rosario Guarracino

The comparison of high throughput gene expression datasets obtained from different experimental conditions is a challenging task. It provides an opportunity to explore the cellular response to various biological events such as disease, environmental conditions, and drugs. There is a need for tools that allow the integration and analysis of such data. We developed the “RankerGUI pipeline”, a user-friendly web application for the biological community. It allows users to use various rank based statistical approaches for the comparison of full differential gene expression profiles between the same or different biological states obtained from different sources. The pipeline modules are an integration of various open-source packages, a few of which are modified for extended functionality. The main modules include rank rank hypergeometric overlap, enriched rank rank hypergeometric overlap and distance calculations. Additionally, preprocessing steps such as merging differential expression profiles of multiple independent studies can be added before running the main modules. Output plots show the strength, pattern, and trends among complete differential expression profiles. In this paper, we describe the various modules and functionalities of the developed pipeline. We also present a case study that demonstrates how the pipeline can be used for the comparison of differential expression profiles obtained from multiple platforms’ data of the Gene Expression Omnibus. Using these comparisons, we investigate gene expression patterns in kidney and lung cancers.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hani Jieun Kim ◽  
Patrick P. L. Tam ◽  
Pengyi Yang

AbstractIdentifying genes that define cell identity is a requisite step for characterising cell types and cell states and predicting cell fate choices. By far, the most widely used approach for this task is based on differential expression (DE) of genes, whereby the shift of mean expression are used as the primary statistics for identifying gene transcripts that are specific to cell types and states. While DE-based methods are useful for pinpointing genes that discriminate cell types, their reliance on measuring difference in mean expression may not reflect the biological attributes of cell identity genes. Here, we highlight the quest for non-DE methods and provide an overview of these methods and their applications to identify genes that define cell identity and functionality.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249567
Author(s):  
Aminu Abba Yusuf ◽  
Baba Maiyaki Musa ◽  
Najibah Aliyu Galadanci ◽  
Musa Babashani ◽  
Aminu Zakari Mohammed ◽  
...  

Background HIV-positive persons of African descent are disproportionately affected by chronic kidney disease (CKD). Deterioration to end-stage kidney disease (ESKD) also occurs in this population at a higher frequency. There remains a lot to learn about the genetic susceptibility to CKD in HIV positive patients, and the pathophysiology of progression to ESKD. Objectives We will conduct an exploratory genotype-phenotype study in HIV-positive persons with CKD in Aminu Kano Teaching Hospital, Nigeria, to determine blood-based differential gene expression biomarkers in different kidney risk groups according to the KDIGO 2012 criteria. Methods We will consecutively screen 150 HIV-positive adults (≥18 years of age) attending the HIV clinic of Aminu Kano Teaching Hospital, Kano, Nigeria, for CKD based on proteinuria and elevation of estimated glomerular filtration rate. Among these, two separate groups of 16 eligible participants each (n = 32) will be selected in the four (4) KDIGO 2012 kidney risk categories. The groups will be matched for age, sex, viral suppression level and antiretroviral (ARV) regimen. In the first group (n = 16), we will determine differential gene expression markers in peripheral blood mononuclear cells using mRNA-sequencing (RNA-Seq). We will validate the differential expression markers in the second group (n = 16) using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Using a systems-based approach, we will construct, visualize and analyze gene-gene interaction networks to determine the potential biological roles of identified differential expression markers based on published literature and publicly available databases. Results Our exploratory study will provide valuable information on the potential roles of differential expression biomarkers in the pathophysiology of HIV-associated kidney disease by identifying novel biomarkers in different risk categories of CKD in a sub-Saharan African population. The results of this study will provide the basis for population-based genome-wide association studies to guide future personalized medicine approaches. Conclusion Validated biomarkers can be potential targets for the development of stage-specific therapeutic interventions, an essential paradigm in precision medicine.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1237-1237 ◽  
Author(s):  
Shalini Sankar ◽  
Miriam Guillen Navarro ◽  
Frida Ponthan ◽  
Simon Bomken ◽  
Sirintra Nakjang ◽  
...  

To identify potential regulators of propagation and self-renewal of Acute Lymphoblastic Leukaemia (ALL), we performed an explorative genome-wide RNAi screen followed by CRISPR ex vivo and in vivo validation screens in the t(4;11)-positive ALL cell line SEM. These screens identified the splicing factor PHF5A as a crucial component of the leukemic program. PHF5A is a subunit of the SF3b protein complex, which directs alternative splicing by binding to the branchpoint of pre-mRNA. Mutations in members of this complex including SF3B1 have been implicated in several haematological malignancies. Functional perturbation experiments demonstrated that PHF5A depletion impairs proliferation, viability and clonogenicity in a range of ALL and AML cell lines strongly suggesting that PHF5A is required for leukemic propagation and self-renewal. To identify genetic programs affected by PHF5A inhibition, we performed RNA-seq followed by analysis of differential gene expression and splicing events. We identified 473 genes with differential expression upon PHF5A knockdown. In addition, we performed in-depth analysis of splicing patterns by examining both differential exon/intron usage and exon junction formation. These analyses demonstrated that loss of PHF5A affects splicing of more than 2500 genes with exon skipping and intron retention being the most frequent splicing events. In order to identify processes and pathways affected by PHF5A, we performed gene set enrichment analysis (GSEA) on both differential expression and splicing. While gene sets associated with RNA processing including splicing, turnover and translation were enriched in both data sets, the differential gene expression signature was also linked to DNA repair processes including base excision, mismatch and homologous recombination repair. In line with these findings, knockdown of either PHF5A or its partner protein SF3B1 induced DNA strand breaks as indicated by comet assay and increased y-H2AX levels. Furthermore, both PHF5A and SF3B1 depletion sensitized ALL cells towards the DNA crosslinking agent mitomycin C. Closer inspection of RNA-seq datasets revealed reduced FANCD2 expression and skipping of exon 22 associated with impaired mono-ubiquitination of the FANCD2 protein as a consequence of PHF5A and SF3B1 knockdown. Furthermore, expression of RAD51, a key component of double strand break repair, also decreased upon PHF5A and SF3B1 knockdown. Notably, in vitro pharmacological inhibition of SF3b complex activity using H3B-8800 (or Pladienolide B) showed a very similar effect on FANCD2 expression, and ubiquitination as well as decrease of RAD51 and an increase in y-H2AX levels on a dose and time-dependent manner. This strongly suggests a mechanistic link between impaired RNA splicing and the repair of DNA double-strand breaks. These combined data show that leukemic cells are highly dependent on a functional SF3b splicing complex. Interference with its function results in DNA damage and also sensitizes towards DNA damaging agents pointing towards a possible benefit of the combined application of inhibitors targeting the SF3b complex with more conventional chemotherapy. Disclosures Ponthan: Epistem Ltd: Employment. Zwaan:Sanofi: Consultancy; Incyte: Consultancy; BMS: Research Funding; Roche: Consultancy; Janssen: Consultancy; Daiichi Sankyo: Consultancy; Servier: Consultancy; Jazz Pharmaceuticals: Other: Travel support; Pfizer: Research Funding; Celgene: Consultancy, Research Funding. Vormoor:Abbvie (uncompensated): Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria, Research Funding; AstraZeneca: Research Funding.


Author(s):  
Dionysios Fanidis ◽  
Panagiotis Moulos

Abstract The study of differential gene expression patterns through RNA-Seq comprises a routine task in the daily lives of molecular bioscientists, who produce vast amounts of data requiring proper management and analysis. Despite widespread use, there are still no widely accepted golden standards for the normalization and statistical analysis of RNA-Seq data, and critical biases, such as gene lengths and problems in the detection of certain types of molecules, remain largely unaddressed. Stimulated by these unmet needs and the lack of in-depth research into the potential of combinatorial methods to enhance the analysis of differential gene expression, we had previously introduced the PANDORA P-value combination algorithm while presenting evidence for PANDORA’s superior performance in optimizing the tradeoff between precision and sensitivity. In this article, we present the next generation of the algorithm along with a more in-depth investigation of its capabilities to effectively analyze RNA-Seq data. In particular, we show that PANDORA-reported lists of differentially expressed genes are unaffected by biases introduced by different normalization methods, while, at the same time, they comprise a reliable input option for downstream pathway analysis. Additionally, PANDORA outperforms other methods in detecting differential expression patterns in certain transcript types, including long non-coding RNAs.


2004 ◽  
Vol 70 (6) ◽  
pp. 3687-3694 ◽  
Author(s):  
Jorge Frias-Lopez ◽  
George T. Bonheyo ◽  
Bruce W. Fouke

ABSTRACT RNA-arbitrarily primed PCR techniques have been applied for the first time to identify differential gene expression in black band disease (BBD), a virulent coral infection that affects reef ecosystems worldwide. The gene activity for the BBD mat on infected surfaces of the brain coral Diploria strigosa was compared with that for portions of the BBD mat that were removed from the coral and suspended nearby in the seawater column. The results obtained indicate that three genes (DD 95-2, DD 95-4, and DD 99-9) were up-regulated in the BBD bacterial mat on the coral surface compared to the transcript base levels observed in the BBD mat suspended in seawater. Clone DD 95-4 has homology with known amino acid ABC transporter systems in bacteria, while clone DD 99-9 exhibits homology with chlorophyll A apoprotein A1 in cyanobacteria. This protein is essential in the final conformation of photosystem I P700. DD 95-2, the only gene that was fully repressed in the BBD mat samples suspended in seawater, exhibited homology with the AraC-type DNA binding domain-containing proteins. These transcriptional activators coordinate the expression of genes essential for virulence in many species of gram-negative bacteria.


Author(s):  
E. N. Sysoliatin ◽  
V. S. Anokhina ◽  
N. V. Anisimova ◽  
O. G. Babak ◽  
A. V. Kilchevsky

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