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ZENODO
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License: CC BY
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ZENODO
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Differential expression analysis to aluminum toxicity in Citrus x limonia Osbeck

Authors: Silva, Carolina M. S.; Banguela-Castillo, Alexander; Domingues, Douglas S.; Habermann, Gustavo;

Differential expression analysis to aluminum toxicity in Citrus x limonia Osbeck

Abstract

Here we deliver the Differential gene expression on genes response to aluminum toxicity in Citrus x limonia. Root apices of ‘Mandarin’ lime plants grown for 60 days in nutrient solutions either with 1480 mM Al3+ or 0 mM Al3+ were analyzed by RNA-seq. Clean reads were mapped to the sweet orange (Citrus sinensis) genome (Xu et al. 2013). Gene expression levels were calculated by CPM (Counts per million) reads. We used HTSeq ver. 0.6.1 (Anders et al. 2015) CPM estimation. The differentially expressed genes (DEGs) here reported by NOIseq ver. 2.16.0 (Tarazona et al. 2016). Results: Number of differentially expressed (DE) features (Probability > 0.7): 3,351 Up-regulated (M > 0): 1,664 Down-regulated (M < 0): 1,687 All software were run on OmicsBox interface. References: Anders S., Pyl PT. and Huber W. (2015). HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics (Oxford, England), 31(2), 166-9. OmicsBox - Bioinformatics made easy. BioBam Bioinformatics (Version 2.0.36). March 3, 2019. www.biobam.com/omicsbox. Tarazona S., Furio-Tari P., Turra D., Pietro AD., Nueda MJ., Ferrer A. and Conesa A. (2015). Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic acids research, 43(21), e140. Xu Q, Chen L-L, Ruan X, et al (2013) The draft genome of sweet orange (Citrus sinensis). Nat Genet 45:59–66. Legend: Regulation - UP or DOWN = differentially expressed genes, UPregulated or DOWNregulated Citrus_40_Al_2 - Normalized CPM for root apexes under 1480 mM Al3+ Citrus_0_Al_1 - Normalized CPM for root apexes under 0 mM Al3+

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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