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Transcriptome analysis of different growth stages of Aspergillus oryzae reveals dynamic changes of distinct classes of genes during growth

Overview of attention for article published in BMC Microbiology, February 2018
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Title
Transcriptome analysis of different growth stages of Aspergillus oryzae reveals dynamic changes of distinct classes of genes during growth
Published in
BMC Microbiology, February 2018
DOI 10.1186/s12866-018-1158-z
Pubmed ID
Authors

Bin He, Zhihong Hu, Long Ma, Haoran Li, Mingqiang Ai, Jizhong Han, Bin Zeng

Abstract

The gene expression profile and metabolic pathways of Aspergillus oryzae underlying the anatomical and morphological differentiation across different growth stages have not been fully characterized. The rapid development of next-generation sequencing technologies provides advanced knowledge of the genomic organization of A. oryzae. In this study, we characterized the growth and development of A. oryzae at different growth stages, including the adaptive phase, logarithmic phase, and stationary phase. Our results revealed that A. oryzae undergoes physiological and morphological differentiation across the different stages. RNA-seq was employed to analyze the three stages of A. oryzae, which generated more than 27 million high-quality reads per sample. The analysis of differential gene expression showed more genes expressed differentially upon transition from the adaptive phase to the logarithmic and stationary phases, while relatively steady trend was observed during the transition from the logarithmic phase to the stationary phase. GO classification of the differentially expressed genes among different growth stages revealed that most of these genes were enriched for single-organism process, metabolic process, and catalytic activity. These genes were then subjected to a clustering analysis. The results showed that the cluster with the majority of genes with increased expression upon transition from the adaptive phase to the logarithmic phase, and steady expression from the logarithmic phase to the stationary phase was mainly involved in the carbohydrate and amino acid metabolism. Our results provide a foundation for identifying developmentally important genes and understanding the biological processes across various growth stages.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Researcher 2 13%
Other 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Biochemistry, Genetics and Molecular Biology 6 38%
Unknown 3 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 February 2018.
All research outputs
#10,954,312
of 13,786,654 outputs
Outputs from BMC Microbiology
#1,395
of 2,062 outputs
Outputs of similar age
#291,619
of 401,614 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
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