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Flores, P.

Publications and source records attributed to Flores, P..

2 recordsLinked to original sources

Comprehensive and Comparative Transcriptional Profiling of the Cell Wall Stress Response in Bacillus subtilis

The bacterial cell wall (CW) is an essential protective barrier and the frontline of cellular interactions with the environment and also a target for numerous antimicrobial agents. Accordingly, its integrity and homeostasis are closely monitored and rapid adaptive responses by transcriptional reprogramming induce appropriate counter-measures against perturbations. Here, we report a comprehensive and comparative transcriptional profiling of the primary cell envelope stress responses (CESR), based on combining RNAseq and high-resolution tiling array studies of the Gram-positive model bacterium Bacillus subtilis exposed to a range of antimicrobial compounds that interfere with cytoplasmic, membrane-coupled or extracellular steps of peptidoglycan (PG) biosynthesis. It revealed the complexity of the CESR of B. subtilis and unraveled the contribution of extracytoplasmic function sigma factors (ECFs) and two-component signal transduction systems (TCSs) to protect the cell envelope. While membrane-anchored steps are tightly controlled, early cytoplasmic and late extracellular steps of PG biosynthesis are hardly monitored at all. The ECF {sigma} factors {sigma}W and particularly {sigma}M provide a general CESR, while {sigma}V is almost exclusively induced by lysozyme, against which it provides specific resistance. Remarkably, {sigma}X was slightly repressed by most antibiotics, pointing towards a role in envelope homeostasis rather than CESR. It shares this role with the WalRK TCS, which balances CW growth with controlled autolysis. In contrast, all remaining TCSs are envelope stress-inducible systems. LiaRS is induced by a wide range of PG synthesis inhibitors, while the three paralogous systems BceAB, PsdRS and ApeRS are more compound-specific detoxification modules. Induction of the CssRS TCS by all antibiotics interfering with membrane-anchored steps of PG biosynthesis points towards a physiological link between CESR and secretion stress. Based on the expression signatures, a suite of CESR-specific B. subtilis whole cell biosensors were developed and carefully evaluated. This is the first comprehensive transcriptomic study focusing exclusively on the primary effects of envelope perturbances that shall provide a reference point for future studies on Gram-positive CESR.

microbiology↗

A greenhouse-based high-throughput phenotyping platform for identification and genetic dissection of resistance to Aphanomyces root rot in field pea

Aphanomyces root rot (ARR) is a devastating disease in field pea (Pisum sativum L.) that can cause up to 100% crop failure. Assessment of ARR resistance can be a rigorous, costly, time-demanding activity that is relatively low-throughput and prone to human errors. These limits the ability to effectively and efficiently phenotype the disease symptoms arising from ARR infection, which remains a perennial bottleneck to the successful evaluation and incorporation of disease resistance into new cultivars. In this study, we developed a greenhouse-based high throughput phenotyping (HTP) platform that moves along the rails above the greenhouse benches and captures the visual symptoms caused by Aphanomyces euteiches in field pea. We pilot tested this platform alongside with conventional visual scoring in five experimental trials under greenhouse conditions, assaying over 12,600 single plants. Precision estimated through broad-sense heritability (H2) was consistently higher for the HTP-indices (H2 Exg =0.86) than the traditional visual scores (H2 DSI=0.59), potentially increasing the power of genetic mapping. We genetically dissected variation for ARR resistance using the HTP-indices, and identified a total of 260 associated single nucleotide polymorphism (SNP) through genome-wide association (GWA) mapping. The number of associated SNP for HTP-indices was consistently higher with some SNP overlapped to the associated SNP identified using the visual scores. We identified numerous small-effect QTLs, with the most significant SNP explaining about 5 to 9% of the phenotypic variance per index, and identified previously mapped genes known to be involved in the biological pathways that trigger immunity against ARR, including Psat5g280480, Psat5g282800, Psat5g282880, and Psat2g167800. We also identified a few novel QTLs with small-effect sizes that may be worthy of validation in the future. The newly identified QTLs and underlying genes, along with genotypes with promising resistance identified in this study, can be useful for improving a long-term, durable resistance to ARR.

pathology↗