Literature DB >> 26693724

A Global View of Gene Expression of Aspergillus nidulans on Responding to the Deficiency in Soluble Potassium.

Leilei Xiao1,2, Qibiao Sun3, Bin Lian4.   

Abstract

Many researchers have suggested that microbes can accelerate the weathering of silicate minerals. However, many genes and metabolic pathways related to microorganisms obtaining potassium (K) from silicate remain undiscovered. It is feasible to detect the gene expression within the scope of the whole genome through high-throughput sequencing. Surprisingly, only a few reports have shown fungal weathering of silicate using this technology. This study explored differences in gene expression of Aspergillus nidulans, which was cultured with different K sources, KCl, and K-feldspar. A. nidulans RNA was extracted by the construction of a cDNA library. Identification of K-acquisition-related genes with GO and KEGG pathway analysis revealed that primarily differentially expressed genes were related to the biosynthesis of amino acids. When these genes were grouped in accordance with the physiological functions, the genes involved in the synthesis of protease, ribosome, and mitochondria, trans-membrane transport, and oxidative phosphorylation were significantly different. Moreover, 20 genes selected were further tested using RT-qPCR. One half (10 genes) exhibited differential expression, which was consistent with the results of RNA-seq. Combining the results of RNA-seq and RT-qPCR, we summarised a possible way to obtain mineral K in A. nidulans as well. The differentially expressed genes and their associated metabolic pathways revealed will improve the understanding of the molecular mechanisms of microbial weathering of silicate minerals.

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Year:  2015        PMID: 26693724     DOI: 10.1007/s00284-015-0963-y

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  18 in total

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Authors:  Markus Gierth; Pascal Mäser; Julian I Schroeder
Journal:  Plant Physiol       Date:  2005-02-25       Impact factor: 8.340

4.  A versatile and efficient gene-targeting system for Aspergillus nidulans.

Authors:  Tania Nayak; Edyta Szewczyk; C Elizabeth Oakley; Aysha Osmani; Leena Ukil; Sandra L Murray; Michael J Hynes; Stephen A Osmani; Berl R Oakley
Journal:  Genetics       Date:  2005-12-30       Impact factor: 4.562

5.  Ammonium toxicity and potassium limitation in yeast.

Authors:  David C Hess; Wenyun Lu; Joshua D Rabinowitz; David Botstein
Journal:  PLoS Biol       Date:  2006-10       Impact factor: 8.029

6.  Effect of carbonic anhydrase on silicate weathering and carbonate formation at present day CO₂ concentrations compared to primordial values.

Authors:  Leilei Xiao; Bin Lian; Jianchao Hao; Congqiang Liu; Shijie Wang
Journal:  Sci Rep       Date:  2015-01-13       Impact factor: 4.379

7.  A large genome center's improvements to the Illumina sequencing system.

Authors:  Michael A Quail; Iwanka Kozarewa; Frances Smith; Aylwyn Scally; Philip J Stephens; Richard Durbin; Harold Swerdlow; Daniel J Turner
Journal:  Nat Methods       Date:  2008-12       Impact factor: 28.547

8.  Transcriptome profiling of the goose (Anser cygnoides) ovaries identify laying and broodiness phenotypes.

Authors:  Qi Xu; WenMing Zhao; Yang Chen; YiYu Tong; GuangHui Rong; ZhengYang Huang; Yang Zhang; GuoBing Chang; XinSheng Wu; GuoHong Chen
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

9.  FSRD: fungal stress response database.

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10.  The selective expression of carbonic anhydrase genes of Aspergillus nidulans in response to changes in mineral nutrition and CO2 concentration.

Authors:  Leilei Xiao; Bin Lian; Cuiling Dong; Fanghua Liu
Journal:  Microbiologyopen       Date:  2015-11-09       Impact factor: 3.139

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  2 in total

1.  Transcriptome Analysis Provides Novel Insights into the Capacity of the Ectomycorrhizal Fungus Amanita pantherina To Weather K-Containing Feldspar and Apatite.

Authors:  Qibiao Sun; Ziyu Fu; Roger Finlay; Bin Lian
Journal:  Appl Environ Microbiol       Date:  2019-07-18       Impact factor: 4.792

Review 2.  Current Practices for Reference Gene Selection in RT-qPCR of Aspergillus: Outlook and Recommendations for the Future.

Authors:  Meagan Archer; Jianping Xu
Journal:  Genes (Basel)       Date:  2021-06-24       Impact factor: 4.096

  2 in total

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