Evolutionary adaptation of Aspergillus niger for increased ferulic acid tolerance
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA557115 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9852260.fastq.gz | Fastqsanger.gz | |||
| SRR9852261.fastq.gz | Fastqsanger.gz | |||
| SRR9852262.fastq.gz | Fastqsanger.gz | |||
| SRR9852255.fastq.gz | Fastqsanger.gz | |||
| SRR9852256.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
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Project description:The aim of this study was to find candidate genes in A. niger involved in the increase tolerance against ferulic acid in A. niger Fa6
2020-02-26 | GSE135001 | GEO
Project description:AIMS:To create an Aspergillus niger mutant with increased tolerance against ferulic acid using evolutionary adaptation. METHODS AND RESULTS:Evolutionary adaptation of A. niger N402 was performed by consecutive growth on increasing concentrations of ferulic acid in the presence of 25 mmol l-1 d-fructose, starting from 0·5 mmol l-1 and ending with 5 mmol l-1 ferulic acid. The A. niger mutant obtained after six months, named Fa6, showed increased ferulic acid tolerance compared to the parent. In addition, Fa6 has increased ferulic acid consumption and a higher conversion rate, suggesting that the mutation affects aromatic metabolism of this species. Transcriptome analysis of the evolutionary mutant on ferulic acid revealed a distinct gene expression profile compared to the wild type. Further analysis of this mutant and the parent strain provided the first experimental confirmation that A. niger converts coniferyl alcohol to ferulic acid. CONCLUSIONS:The evolutionary adaptive A. niger mutant Fa6 has beneficial mutations that increase the tolerance, conversion rate and uptake of ferulic acid. SIGNIFICANCE AND IMPACT OF THE STUDY:This study demonstrates that evolutionary adaptation is a powerful tool to modify micro-organisms towards increased tolerance to harsh conditions, which is beneficial for various industrial applications.
| S-EPMC7027748 | biostudies-literature
Project description:During the over 300 million years of co-evolution between herbivorous insects and their host plants, a dynamic equilibrium of evolutionary arms race has been established. However, the co-adaptation between insects and their host plants is a complex process, often driven by multiple evolutionary mechanisms. We found that various lepidopteran pests that use maize as a host exhibit differential adaptation to the plant secondary metabolites, benzoxazinoids (BXs). Notably, the Spodoptera genus, including Spodoptera frugiperda (fall armyworm) and Spodoptera litura (cotton leafworm), demonstrate greater tolerance to BXs compared to other insects. Through comparative transcriptomic analysis of the midgut, we identified four candidate genes potentially involved in BXs detoxification in S. frugiperda. Subsequently, we confirmed two UGT genes, Sfru33T10 and Sfru33F32, as key players in BXs detoxification using CRISPR/Cas9 gene-editing technology. Phylogenetic analysis revealed that Sfru33T10 evolved independently within the Noctuidae family and is involved in the glycosylation of HDMBOA, while Sfru33F32 evolved independently within the Spodoptera genus and functions as a key detoxification enzyme responsible for the glycosylation of both DIMBOA and HMBOA. Our study demonstrates that the UGT gene family plays a crucial role in the adaptation of noctuid insects to maize, with multiple independent evolutionary events within the Noctuidae family and the Spodoptera genus contributing significantly to host adaptation.
2024-09-18 | GSE276946 | GEO
Project description:The presence of anti-microbial phenolic compounds, such as the model compound ferulic acid, in biomass hydrolysates poses significant challenges to the widespread use of biomass in conjunction with whole cell biocatalysis or fermentation. Currently, these inhibitory compounds must be removed through additional downstream processing to create feedstock suitable for most industrially important microbial strains. This study explores the high ferulic acid tolerance in Lactobacillus brevis (L. brevis), a lactic acid bacteria often found in fermentation processes, by global transcriptional response analysis. The transcriptional profile of L. brevis under ferulic acid stress reveals that the presence of ferulic acid primarily triggers the expression of membrane proteins to counteract ferulic acid induced changes in membrane fluidity and ion leakage, in the midst of a generalized stress response. Several promising routes for understanding phenolic acid tolerance have been identified based upon these findings. These insights may be used to guide further engineering of model industrial organisms to better tolerate phenolic compounds in processed biomass.
2011-12-31 | GSE22826 | GEO
Project description:The mechanism of evolution in different conditions can be examined from various molecular aspects that constitute a cell, namely, transcript, protein or metabolite abundance. We have analyzed transcript and metabolite abundance changes in evolved and ancestor strains in three different evolutionary conditions, namely, excess-nutrient adaptation, prolonged stationary phase adaptation and adaptation due to environmental shift, in two different strains of Escherichia coli K-12 (MG1655 and DH10B).
2007-10-02 | E-MEXP-1166 | biostudies-arrayexpress
Project description:The hypothesis that increased fitness within a selective environment must be accompanied by a loss of fitness in other non-selective environments leads to the notion of evolutionary tradeoffs. Experimental evolution provides an approach to test the existence of evolutionary tradeoffs, characterize their general quality, and reveal their genetic origins. To examine the underlying mechanism for a fitness trade-off, we constructed the evolutionary trajectories of Escherichia coli K-12 at increasing temperatures up to 45.3°C, and found diverging mutational histories that led to adaptive phenotypes with and without fitness trade-offs at low temperatures. We identified genetic changes in cellular respiration, iron metabolism and methionine biosynthesis that regulated gene expression to achieve thermal adaptation and determined the presence and absence of a fitness trade-off. Our results suggested that evolutionary trade-off could be generated by a regulatory protein mutation that was beneficial in the selective conditions but forced suboptimal proteome allocation under non-selective environments.
2020-11-17 | GSE140478 | GEO
Project description:The earth’s climate is warming, and warming-induced biological feedbacks to climate threaten to further destabilize ecosystems. In a 30-year soil warming field experiment at the Harvard Forest in central Massachusetts, microbial isolates from heated (+5 degrees C above ambient) show signs of irreversible adaptation to warming in traits associated with altered soil biogeochemical cycling. Our labs have documented physiological adaptation in all three dimensions of microbial activities: growth, resource acquisition, and stress tolerance. We will use metabolomics to investigate the nature of adaptation due to long-term warming, where reduced soil organic matter, reduced soil water holding capacity and potentially increased niche partitioning may be a selective pressure. Specifically we hypothesize that increased drought tolerance of Actinobacteria exposed to long-term warming is due to production of more or different compatible solutes compared to isolates from controls.
The work (proposal:https://doi.org/10.46936/10.25585/60008103) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2024-05-16 | MSV000094780 | MassIVE
Project description:Corynebacterium glutamicum can survive by using ferulic acid as the sole carbon source. In this study, we assessed the response of C.glutamicum to ferulic acid stress by means of a global transcriptional response analysis. The transcriptional data showed that several genes involved in degradation of ferulic acid were affected. Moreover, several genes related to the stress response; protein protection or degradation and DNA repair; replication, transcription and translation; and the cell envelope were differentially expressed. Deletion of the katA or sigE gene in C. glutamicum resulted in a decrease in cell viability under ferulic acid stress. These insights will facilitate further engineering of model industrial strains, with enhanced tolerance to ferulic acid to enable easy production of biofuels from lignocellulose.
2017-09-01 | GSE86537 | GEO
Project description:The presence of anti-microbial phenolic compounds, such as the model compound ferulic acid, in biomass hydrolysates poses significant challenges to the widespread use of biomass in conjunction with whole cell biocatalysis or fermentation. Currently, these inhibitory compounds must be removed through additional downstream processing to create feedstock suitable for most industrially important microbial strains. This study explores the high ferulic acid tolerance in Lactobacillus brevis (L. brevis), a lactic acid bacteria often found in fermentation processes, by global transcriptional response analysis. The transcriptional profile of L. brevis under ferulic acid stress reveals that the presence of ferulic acid primarily triggers the expression of membrane proteins to counteract ferulic acid induced changes in membrane fluidity and ion leakage, in the midst of a generalized stress response. Several promising routes for understanding phenolic acid tolerance have been identified based upon these findings. These insights may be used to guide further engineering of model industrial organisms to better tolerate phenolic compounds in processed biomass. Three biological replicates were utilized for each time point. Total RNA was extracted using the Zymo Research Bacterial/Fungal RNA extraction kit Microarrays were indirectly labeled, hybridized, and washed according to the Fairplay III Kit protocol. Slides were scanned using the Axon GenePix 4200A scanner. Data normalization (LOWESS) was carried out on each array separately. The arithmetic average of probe signals was used to compute Log2 values.
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Project description:Genome architecture shapes evolutionary adaptation to DNA replication stress
| PRJEB42058 | ENA