2018
DOI: 10.1007/s42770-018-0026-1
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Gene transcription profiling of Aspergillus oryzae 3.042 treated with ergosterol biosynthesis inhibitors

Abstract: Ergosterol, a unique component of fungal cells, is not only important for fungal growth and stress responses but also holds great economic value. Limited studies have been performed on ergosterol biosynthesis in Aspergillus oryzae, a safe filamentous fungus that has been used for the manufacture of oriental fermented foods. This study revealed that the ergosterol biosynthesis pathway is conserved between Saccharomyces cerevisiae and A. oryzae 3.042 by treatment with ergosterol biosynthesis inhibitors and bioin… Show more

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Cited by 18 publications
(22 citation statements)
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“…The gene expression level was calculated with RSEM (v1.1.12). To compare the difference of gene expression among different samples, the FPKM (Fragments per kilobase of transcript per million mapped reads) method was used for normalization [ 71 ]. DESeq2 was used to identify differentially expressed genes (DEGs) (absolute value of log 2 fold change≥1) after correction of p -values (adjusted< 0.05) using the Benjamini-Hochberg procedure (false discovery rate, FDR ≤ 0.001).…”
Section: Methodsmentioning
confidence: 99%
“…The gene expression level was calculated with RSEM (v1.1.12). To compare the difference of gene expression among different samples, the FPKM (Fragments per kilobase of transcript per million mapped reads) method was used for normalization [ 71 ]. DESeq2 was used to identify differentially expressed genes (DEGs) (absolute value of log 2 fold change≥1) after correction of p -values (adjusted< 0.05) using the Benjamini-Hochberg procedure (false discovery rate, FDR ≤ 0.001).…”
Section: Methodsmentioning
confidence: 99%
“…The gene expression level was calculated with RSEM (v1.1.12). To compare the difference of gene expression among different samples, the FPKM (Fragments per kilobase of transcript per million mapped reads) method was used for normalization [32]. DESeq2 was used to identify differentially expressed genes (DEGs) (absolute value of log 2 fold change≥1) after correction of p-values (adjusted<0.05) using the Benjamini-Hochberg procedure (false discovery rate, FDR≤0.001).…”
Section: Annotation and Differential Gene Expression Analysismentioning
confidence: 99%
“…Clean reads were mapped to unigenes using Bowtie2 (v2.2.5), and then gene expression level was calculated with RSEM (v1.1.12). To compare the difference of gene expression among different samples, the FPKM (Fragments per kilobase per transcript per million mapped reads) method was used [30]. DEseq2 was used to identify DEGs (absolute value of log 2 fold-change≥1) after correction of p-values (adjusted 0.05) using Benjamini-Hochberg (false discovery rate, FDR≤0.001).…”
Section: Annotation and Differential Gene Expression Analysismentioning
confidence: 99%