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Next generation sequencing facilitates quantitative analysis of transcriptomes of wild type and overexpression of PuHSFA4a transgenic lines

ABSTRACT: Purpose: we performed comparative RNA-seq analyses to identify differentially expressed genes between overexpression of PuHSFA4a transgenic lines and Wild Type with or without excess Zn stress Methods: Illumina HiSeq technology was used to generate mRNA profiles from PuHSFA4a transgenic roots compared to wild type roots.overexpression of PuHSFA4a and wild type material was obtained from root of Populus ussuriensis grown for 7 days in 1/2 MS medium only then exposed to 1/2 MS medium supplemented with 1.2mM ZnSO4 for two weeks. The control was plant grown for three weeks in 1/2 MS medium. Reads of 150bp were generated and aligned to the Populus trichocarpa reference genome (https://phytozome.jgi.doe.gov/pz/portal.html). qRT–PCR validation was performed using TransStart 1 Top Green qPCR SuperMix Results: By pairwise comparisons of the RNA-seq data, 33 genes were showed significant expression differences between PuHSFA4a-OE and WT (FDR adjusted P value < 0.01 including 17 genes under normal condition, 19 genes under excess Zn treatment. Altered expression of 17 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Conclusions: Our study represents the detailed analysis of excess Zn response transcriptomes , with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that next generation sequencing offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

ORGANISM(S): Populus ussuriensis

PROVIDER: GSE117778 | GEO | 2019/08/01

REPOSITORIES: GEO

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Project description:Zinc is an essential nutrient because of its role in catalysis and in stabilizing protein structure, but excess zinc can also be deleterious. Four nutritional zinc states have been identified in the alga Chlamydomonas reinhardtii: zinc toxic, zinc replete, zinc deficient and zinc limited. Growth is inhibited in zinc-limited and zinc toxic cells relative to zinc-replete cells, while zinc-deficiency is visually asymptomatic but distinguished by the accumulation of transcripts encoding ZIP family transporters. To identify targets of zinc deficiency and mechanisms of zinc acclimation, we used RNA-seq to probe zinc nutrition responsive changes in gene expression. We identified a subset of genes encoding zinc-handling components, including ZIP family transporters and candidate zinc chaperones. In addition, we noted an impact on two other regulatory pathways, the carbon concentrating mechanism (CCM) and the nutritional copper regulon. Targets of transcription factor Ccm1 and various CAH genes are up-regulated in zinc-deficiency, as a likely consequence of reduced carbonic anhydrase activity, which is validated by mass spectrometry and immunoblot analysis of Cah1, Cah3 and Cah4. Chlamydomonas is therefore not able to grow photoautotrophically in air in zinc limiting conditions, but supplementation with 1% CO2 restores growth to wild-type rates, suggesting that the inability to maintain CCM is a major consequence of zinc limitation. Surprisingly, we noted also that the Crr1 regulon, which responds to Cu limitation, is also turned on in zinc deficiency, and in fact, Crr1 is required for growth in zinc-limiting conditions. Zinc deficient cells are functionally copper deficient, as evidenced by reduced plastocyanin abundance, even though they hyperaccumulate copper up to 50-fold over normal levels. We suggest that zinc-deficient cells sequester Cu in a bio-unavailable form, perhaps to prevent mis-metallation of critical zinc sites. Zn-limited wild-type cells were generated by transfer of cells from the first round of growth in medium with no supplemental Zn into TAP medium supplemented or not with 2.5 ÂµM Zn-EDTA The control samples for this study are represented in GSE25622

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis. Methods: Retinal mRNA profiles of 21-day-old wild-type (WT) and neural retina leucine zipper knockout (Nrl-/-) mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl−/− mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl−/− retina, with a fold change ≥1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Retinal mRNA profiles of 21-day old wild type (WT) and Nrl-/- mice were generated by deep sequencing, in triplicate, using Illumina GAIIx.

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Next generation sequencing facilitates quantitative analysis of transcriptomes of wild type and overexpression of PuHSFA4a transgenic lines

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