Neurospora crassa mat A-2 and mat A-3 proteins weakly interact in the yeast two-hybrid system and affect yeast growth

Silva, Carla Cristina da; Cruz, Rosana C.; Bucciarelli-Rodriguez, Mônica; Vilas-Boas, Adlane

doi:10.1590/s1415-47572009000200023

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…In N. crassa , the interaction between mat A-1 and mat a-1 proteins was detected [18]. The mat A-2 and mat A-3 proteins weakly interact with each other in yeast two-hybrid assays [19]. In S. macrospora , SmtA-1 is known to interact with Mcm1 and Smta-1 but not with SmtA-2 or SmtA-3 [20], [21].…”

Section: Introductionmentioning

confidence: 99%

The MAT Locus Genes Play Different Roles in Sexual Reproduction and Pathogenesis in Fusarium graminearum

et al. 2013

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Sexual reproduction plays a critical role in the infection cycle of Fusarium graminearum because ascospores are the primary inoculum. As a homothallic ascomycete, F. graminearum contains both the MAT1-1 and MAT1-2-1 loci in the genome. To better understand their functions and regulations in sexual reproduction and pathogenesis, in this study we assayed the expression, interactions, and mutant phenotypes of individual MAT locus genes. Whereas the expression of MAT1-1-1 and MAT12-1 rapidly increased after perithecial induction and began to decline after 1 day post-perithecial induction (dpi), the expression of MAT1-1-2 and MAT1-1-3 peaked at 4 dpi. MAT1-1-2 and MAT1-1-3 had a similar expression profile and likely are controlled by a bidirectional promoter. Although none of the MAT locus genes were essential for perithecium formation, all of them were required for ascosporogenesis in self-crosses. In outcrosses, the mat11-1-2 and mat11-1-3 mutants were fertile but the mat1-1-1 and mat1-2-1 mutants displayed male- and female-specific defects, respectively. The mat1-2-1 mutant was reduced in FgSO expression and hyphal fusion. Mat1-1-2 interacted with all other MAT locus transcription factors, suggesting that they may form a protein complex during sexual reproduction. Mat1-1-1 also interacted with FgMcm1, which may play a role in controlling cell identity and sexual development. Interestingly, the mat1-1-1 and mat1-2-1 mutants were reduced in virulence in corn stalk rot assays although none of the MAT locus genes was important for wheat infection. The MAT1-1-1 and MAT1-2-1 genes may play a host-specific role in colonization of corn stalks.

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Section: Introductionmentioning

confidence: 99%

The MAT Locus Genes Play Different Roles in Sexual Reproduction and Pathogenesis in Fusarium graminearum

et al. 2013

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“…This issue has had a high profile of late following an error at a personalized genetic testing service ( http://spittoon.23andme.com/2010/06/08/update-from-23andme/ ), problems uncovered by recent ‘forensic’ investigations of genomic scale studies [1] , and the recent highlighting of errors in several high-profile studies [2] . In addition to these major problems, throughout the years of high-throughput studies, such errors have been nominated as the likely cause of discrepant results [3] , [4] . Naturally, for some time, there have been calls to take care to limit such errors [5] , and a number of strategies to reduce or detect errors are regularly used.…”

Section: Introductionmentioning

confidence: 99%

Calling Sample Mix-Ups in Cancer Population Studies

et al. 2012

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Sample tracking errors have been and always will be a part of the practical implementation of large experiments. It has recently been proposed that expression quantitative trait loci (eQTLs) and their associated effects could be used to identify sample mix-ups and this approach has been applied to a number of large population genomics studies to illustrate the prevalence of the problem. We had adopted a similar approach, termed ‘BADGER’, in the METABRIC project. METABRIC is a large breast cancer study that may have been the first in which eQTL-based detection of mismatches was used during the study, rather than after the event, to aid quality assurance. We report here on the particular issues associated with large cancer studies performed using historical samples, which complicate the interpretation of such approaches. In particular we identify the complications of using tumour samples, of considering cellularity and RNA quality, of distinct subgroups existing in the study population (including family structures), and of choosing eQTLs to use. We also present some results regarding the design of experiments given consideration of these matters. The eQTL-based approach to identifying sample tracking errors is seen to be of value to these studies, but requiring care in its implementation.

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State of the Art in Protein–protein Interactions Within the Fungi Kingdom

et al. 2023

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Proteins rarely exert their function by themselves. Protein–protein interactions (PPIs) regulate virtually every biological process that takes place in a cell. Such interactions are targets for new therapeutic agents against all sorts of diseases, through the screening and design of a variety of inhibitors. Here we discuss several aspects of PPIs that contribute to prediction of protein function and drug discovery. As the high-throughput techniques continue to release biological data, targets for fungal therapeutics that rely on PPIs are being proposed worldwide. Computational approaches have reduced the time taken to develop new therapeutic approaches. The near future brings the possibility of developing new PPI and interaction network inhibitors and a revolution in the way we treat fungal diseases.

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Neurospora crassa mat A-2 and mat A-3 proteins weakly interact in the yeast two-hybrid system and affect yeast growth

Cited by 3 publications

References 38 publications

The MAT Locus Genes Play Different Roles in Sexual Reproduction and Pathogenesis in Fusarium graminearum

The MAT Locus Genes Play Different Roles in Sexual Reproduction and Pathogenesis in Fusarium graminearum

Calling Sample Mix-Ups in Cancer Population Studies

State of the Art in Protein–protein Interactions Within the Fungi Kingdom

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