Recombination resolves the cost of horizontal gene transfer in experimental populations of Helicobacter pylori.

Horizontal gene transfer (HGT) is important for microbial evolution, yet we know little about the fitness effects and dynamics of horizontally transferred genetic variants. In this study, we evolve laboratory populations of Helicobacter pylori, which take up DNA from their environment by natural transformation, and measure the fitness effects of thousands of transferred genetic variants. We find that natural transformation increases the rate of adaptation but comes at the cost of significant genetic load. We show that this cost is circumvented by recombination, which increases the efficiency of selection by decoupling deleterious and beneficial genetic variants. Our results show that adaptation with HGT, pervasive in natural microbial populations, is shaped by a combination of selection, recombination, and genetic drift not accounted for in existing models of evolution.

Copper homeostasis at the host vibrio interface: lessons from intracellular vibrio transcriptomics.

Recent studies revealed that several vibrio species have evolved the capacity to survive inside host cells. However, it is still often ignored if intracellular stages are required for pathogenicity. Virulence of Vibrio tasmaniensis LGP32, a strain pathogenic for Crassostrea gigas oysters, depends on entry into hemocytes, the oyster immune cells. We investigated here the mechanisms of LGP32 intracellular survival and their consequences on the host-pathogen interaction. Entry and survival inside hemocytes were required for LGP32-driven cytolysis of hemocytes, both in vivo and in vitro. LGP32 intracellular stages showed a profound boost in metabolic activity and a major transcription of antioxidant and copper detoxification genes, as revealed by RNA sequencing. LGP32 isogenic mutants showed that resistance to oxidative stress and copper efflux are two main functions required for vibrio intracellular stages and cytotoxicity to hemocytes. Copper efflux was also essential for host colonization and virulence in vivo. Altogether, our results identify copper resistance as a major mechanism to resist killing by phagocytes, induce cytolysis of immune cells and colonize oysters. Selection of such resistance traits could arise from vibrio interactions with copper-rich environmental niches including marine invertebrates, which favour the emergence of pathogenic vibrios resistant to intraphagosomal killing across animal species.

Transcriptomic profiling of the oyster pathogen Vibrio splendidus opens a window on the evolutionary dynamics of the small RNA repertoire in the Vibrio genus.

Work in recent years has led to the recognition of the importance of small regulatory RNAs (sRNAs) in bacterial regulation networks. New high-throughput sequencing technologies are paving the way to the exploration of an expanding sRNA world in nonmodel bacteria. In the Vibrio genus, compared to the enterobacteriaceae, still a limited number of sRNAs have been characterized, mostly in Vibrio cholerae, where they have been shown to be important for virulence, as well as in Vibrio harveyi. In addition, genome-wide approaches in V. cholerae have led to the discovery of hundreds of potential new sRNAs. Vibrio splendidus is an oyster pathogen that has been recently associated with massive mortality episodes in the French oyster growing industry. Here, we report the first RNA-seq study in a Vibrio outside of the V. cholerae species. We have uncovered hundreds of candidate regulatory RNAs, be it cis-regulatory elements, antisense RNAs, and trans-encoded sRNAs. Conservation studies showed the majority of them to be specific to V. splendidus. However, several novel sRNAs, previously unidentified, are also present in V. cholerae. Finally, we identified 28 trans sRNAs that are conserved in all the Vibrio genus species for which a complete genome sequence is available, possibly forming a Vibrio "sRNA core."

Horizontal gene transfer facilitates the molecular reverse-evolution of antibiotic sensitivity in experimental populations of H. pylori.

Reversing the evolution of traits harmful to humans, such as antimicrobial resistance, is a key ambition of applied evolutionary biology. A major impediment to reverse evolution is the relatively low spontaneous mutation rates that revert evolved genotypes back to their ancestral state. However, the repeated re-introduction of ancestral alleles by horizontal gene transfer (HGT) could make reverse evolution likely. Here we evolve populations of an antibiotic-resistant strain of Helicobacter pylori in growth conditions without antibiotics while introducing an ancestral antibiotic-sensitive allele by HGT. We evaluate reverse evolution using DNA sequencing and find that HGT facilitates the molecular reverse evolution of the antibiotic resistance allele, and that selection for high rates of HGT drives the evolution of increased HGT rates in low-HGT treatment populations. Finally, we use a theoretical model and carry out simulations to infer how the fitness costs of antibiotic resistance, rates of HGT and effects of genetic drift interact to determine the probability and predictability of reverse evolution.

Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data.

Variant calling is fundamental in bacterial genomics, underpinning the identification of disease transmission clusters, the construction of phylogenetic trees, and antimicrobial resistance detection. This study presents a comprehensive benchmarking of variant calling accuracy in bacterial genomes using Oxford Nanopore Technologies (ONT) sequencing data. We evaluated three ONT basecalling models and both simplex (single-strand) and duplex (dual-strand) read types across 14 diverse bacterial species. Our findings reveal that deep learning-based variant callers, particularly Clair3 and DeepVariant, significantly outperform traditional methods and even exceed the accuracy of Illumina sequencing, especially when applied to ONT's super-high accuracy model. ONT's superior performance is attributed to its ability to overcome Illumina's errors, which often arise from difficulties in aligning reads in repetitive and variant-dense genomic regions. Moreover, the use of high-performing variant callers with ONT's super-high accuracy data mitigates ONT's traditional errors in homopolymers. We also investigated the impact of read depth on variant calling, demonstrating that 10× depth of ONT super-accuracy data can achieve precision and recall comparable to, or better than, full-depth Illumina sequencing. These results underscore the potential of ONT sequencing, combined with advanced variant calling algorithms, to replace traditional short-read sequencing methods in bacterial genomics, particularly in resource-limited settings.

Imagine being part of a public health institution when, suddenly, cases of Salmonella surge across your country. You are facing an outbreak of this foodborne disease, and the clock is ticking. People are consuming a contaminated product that is making them sick; how do you identify related cases, track the source of the infection, and shut down its production? In situations like these, scientists need to tell apart even closely related strains of the same bacterial species. This process, known as variant calling, relies on first analysing (or 'sequencing') the genetic information obtained from the bacteria of interest, then comparing it to a reference genome. Currently, two main approaches are available for genome sequencing. Traditional 'short-read' technologies tend to be more accurate but less reliable when covering certain types of genomic regions. New 'long-read' approaches can bypass these limitations though they have historically been less accurate. Comparison with a reference genome can be performed using a tool known as a variant caller. Many of the most effective ones are now based on artificial intelligence approaches such as deep learning. However, these have primarily been applied to human genomic data so far; it therefore remains unclear whether they are equally useful for bacterial genomes. In response, Hall et al. set out to investigate the accuracy of four deep learning-based and three traditional variant callers on datasets from 14 bacterial species obtained via long-read approaches. Their respective performance was also benchmarked against a more conventional approach representing a standard of accuracy (that is, a popular, non-deep learning variant caller used on short-read datasets). These analyses were performed on a 'truthset' established by Hall et al., a collection of validated data that allowed them to assess the performance of the various tools tested. The results show that, in this context, the deep learning variant callers more accurately detected genetic variations compared to the traditional approach. These tools, which could be run on standard laptops, were effective even with low amounts of sequencing data ­ making them useful even in settings where resources are limited. Variant calling is an essential step in tracking the emergence and spread of disease, identifying new strains of bacteria, and examining their evolution. The findings by Hall et al. should therefore benefit various sectors, particularly clinical and public health laboratories.

Uncovering strain- and age-dependent innate immune responses to SARS-CoV-2 infection in air-liquid-interface cultured nasal epithelia.

Continuous assessment of the impact of SARS-CoV-2 on the host at the cell-type level is crucial for understanding key mechanisms involved in host defense responses to viral infection. We investigated host response to ancestral-strain and Alpha-variant SARS-CoV-2 infections within air-liquid-interface human nasal epithelial cells from younger adults (26-32 Y) and older children (12-14 Y) using single-cell RNA-sequencing. Ciliated and secretory-ciliated cells formed the majority of highly infected cell-types, with the latter derived from ciliated lineages. Strong innate immune responses were observed across lowly infected and uninfected bystander cells and heightened in Alpha-infection. Alpha highly infected cells showed increased expression of protein-refolding genes compared with ancestral-strain-infected cells in children. Furthermore, oxidative phosphorylation-related genes were down-regulated in bystander cells versus infected and mock-control cells, underscoring the importance of these biological functions for viral replication. Overall, this study highlights the complexity of cell-type-, age- and viral strain-dependent host epithelial responses to SARS-CoV-2.

RNA at 92 °C: the non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi.

The non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi is investigated using the RNA-seq technology. A dedicated computational pipeline analyzes RNA-seq reads and prior genome annotation to identify small RNAs, untranslated regions of mRNAs, and cis-encoded antisense transcripts. Unlike other archaea, such as Sulfolobus and Halobacteriales, P. abyssi produces few leaderless mRNA transcripts. Antisense transcription is widespread (215 transcripts) and targets protein-coding genes that are less conserved than average genes. We identify at least three novel H/ACA-like guide RNAs among the newly characterized non-coding RNAs. Long 5' UTRs in mRNAs of ribosomal proteins and amino-acid biosynthesis genes strongly suggest the presence of cis-regulatory leaders in these mRNAs. We selected a high-interest subset of non-coding RNAs based on their strong promoters, high GC-content, phylogenetic conservation, or abundance. Some of the novel small RNAs and long 5' UTRs display high GC contents, suggesting unknown structural RNA functions. However, we were surprised to observe that most of the high-interest RNAs are AU-rich, which suggests an absence of stable secondary structure in the high-temperature environment of P. abyssi. Yet, these transcripts display other hallmarks of functionality, such as high expression or high conservation, which leads us to consider possible RNA functions that do not require extensive secondary structure.

Revisiting Antibiotic Resistance: Mechanistic Foundations to Evolutionary Outlook.

Antibiotics are the pivotal pillar of contemporary healthcare and have contributed towards its advancement over the decades. Antibiotic resistance emerged as a critical warning to public wellbeing because of unsuccessful management efforts. Resistance is a natural adaptive tool that offers selection pressure to bacteria, and hence cannot be stopped entirely but rather be slowed down. Antibiotic resistance mutations mostly diminish bacterial reproductive fitness in an environment without antibiotics; however, a fraction of resistant populations 'accidentally' emerge as the fittest and thrive in a specific environmental condition, thus favouring the origin of a successful resistant clone. Therefore, despite the time-to-time amendment of treatment regimens, antibiotic resistance has evolved relentlessly. According to the World Health Organization (WHO), we are rapidly approaching a 'post-antibiotic' era. The knowledge gap about antibiotic resistance and room for progress is evident and unified combating strategies to mitigate the inadvertent trends of resistance seem to be lacking. Hence, a comprehensive understanding of the genetic and evolutionary foundations of antibiotic resistance will be efficacious to implement policies to force-stop the emergence of resistant bacteria and treat already emerged ones. Prediction of possible evolutionary lineages of resistant bacteria could offer an unswerving impact in precision medicine. In this review, we will discuss the key molecular mechanisms of resistance development in clinical settings and their spontaneous evolution.

Characteristics of severe malaria in hospitalized children in Ho Chi Minh City from 2012 to 2019.

In Vietnam, severe malaria is currently rare but is a life-threatening disease. It may be misdiagnosed with other common diseases. This descriptive study aimed to characterize severe malaria and its clinical aspects, as well as outcomes of infected pediatric patients to improve case management. The case-series study was carried out based on medical records of children aged between one month and 15 years with malaria diagnosed by blood smear or rapid diagnostic test. Chi-squared test with the p values less than 0.05 were considered statistically significant. There were 47 cases enrolled in the study. The prevalence of severe malaria was 29.8% (57.1% in children under five). The morbidity was 71.4% in male and 28.6% in female. Common clinical signs of severe malaria were fever (100%), severe anemia (21.4%), hepatomegaly (85.7%), and splenomegaly (71.4%). Common biological abnormalities in severe malaria were anemia, thrombocytopenia, increased liver enzymes, and high CRP level. The severe malaria was mainly caused by P. falciparum (100%). The age range for those infected with P. falciparum was 6.5 ± 4.5 years (min 0.3; max 14.9). The successful rate of treatment was 92.9% with artesunate. Antimalarial treatment time was 9.0 (6 - 12) days for severe malaria, which was twice as many as that for non-severe malaria (p = 0.067). The current clinical and biological findings of severe malaria are different from those in previous times, which make it easy to be overlooked. Therefore, it's important to perform malaria diagnostic tests when there're clinical suggestions of severe malaria, including fever, hepatomegaly or splenomegaly.

Inhibition of p38alpha MAPK enhances proteasome inhibitor-induced apoptosis of myeloma cells by modulating Hsp27, Bcl-X(L), Mcl-1 and p53 levels in vitro and inhibits tumor growth in vivo.

Inhibition of p38 kinase blocks the production of tumor-promoting factors in the multiple myeloma (MM) bone marrow microenvironment. Proteasome inhibitors MG132 and bortezomib have been shown to have direct cytotoxic effects on MM cells. We show that a selective inhibitor of p38alpha, SCIO-469, enhances the ability of MG132 and bortezomib to induce the apoptosis of MM cells. Previously, we showed that p38 inhibition with SCIO-469 enhances MM cytotoxicity of bortezomib by inhibiting the transient expression and phosphorylation of Hsp27, a downstream target of p38. Here we show that continued treatment of MM cells with bortezomib leads to a SCIO-469-enhanced downregulation of Hsp27 and to increased MM apoptosis. Furthermore, we show that p38 inhibition enhances the bortezomib-induced MM apoptosis by upregulation of p53 and downregulation of Bcl-X(L) and Mcl-1. In a mouse xenograft plasmacytoma model of MM, we found that inhibiting p38 augments the effects of bortezomib in decreasing MM tumor growth in vivo. Thus, in addition to its role in suppressing an activated MM microenvironment, co-treatment with a p38 inhibitor, such as SCIO-469, may enhance the cytotoxicity of bortezomib by modulating pro-apoptotic and anti-apoptotic factors in MM cells, suggesting great potential for co-therapy.

Multistep phosphorelay proteins transmit oxidative stress signals to the fission yeast stress-activated protein kinase.

In response to oxidative stress, eukaryotic cells induce transcription of genes required for detoxification of oxidants. Here we present evidence that oxidative stress stimuli are transmitted by a multistep phosphorelay system to the Spc1/Sty1 stress-activated protein kinase in the fission yeast Schizosaccharomyces pombe. The fission yeast mpr1(+) gene encodes a novel protein with a histidine-containing phosphotransfer domain homologous to the budding yeast Ypd1. Spc1 activation upon oxidative stress is severely impaired in the Deltampr1 mutant as well as in the mpr1HQ strain, in which the putative phosphorylation site Mpr1-His221 is substituted with glutamine. In response to oxidative stress, Mpr1 binds to the Mcs4 response regulator that functions upstream of the Spc1 cascade, suggesting that Mcs4 is a cognate response regulator for Mpr1. Unexpectedly, when exposed to hydrogen peroxide, Deltampr1 cells can induce the catalase gene ctt1(+), one of the transcriptional targets of the Spc1 pathway, and survive oxidative stress in the absence of significant Spc1 activation. We have found that Pap1, a bZIP transcription factor homologous to human c-Jun, can mediate induction of ctt1(+) expression upon oxidative stress independently of the Spc1 stress-activated protein kinase. These studies show that oxidative stress stimuli are transmitted by multiple pathways to induce specific gene expression.

Calcium-activated potassium channels in resting and activated human T lymphocytes. Expression levels, calcium dependence, ion selectivity, and pharmacology.

Ca(2+)-activated K+[K(Ca)] channels in resting and activated human peripheral blood T lymphocytes were characterized using simultaneous patch-clamp recording and fura-2 monitoring of cytosolic Ca2+ concentration, [Ca2+]i. Whole-cell experiments, using EGTA-buffered pipette solutions to raise [Ca2+]i to 1 microM, revealed a 25-fold increase in the number of conducting K(Ca) channels per cell, from an average of 20 in resting T cells to > 500 channels per cell in T cell blasts after mitogenic activation. The opening of K(Ca) channels in both whole-cell and inside-out patch experiments was highly sensitive to [Ca2+]i (Hill coefficient of 4, with a midpoint of approximately 300 nM). At optimal [Ca2+]i, the open probability of a K(Ca) channel was 0.3-0.5. K(Ca) channels showed little or no voltage dependence from -100 to 0 mV. Single-channel I-V curves were linear with a unitary conductance of 11 pS in normal Ringer and exhibited modest inward rectification with a unitary conductance of approximately 35 pS in symmetrical 160 mM K+. Permeability ratios, relative to K+, determined from reversal potential measurements were: K+ (1.0) > Rb+ (0.96) > NH4+ (0.17) > Cs+ (0.07). Slope conductance ratios were: NH4+ (1.2) > K+ (1.0) > Rb+ (0.6) > Cs+ (0.10). Extracellular Cs+ or Ba2+ each induced voltage-dependent block of K(Ca) channels, with block increasing at hyperpolarizing potentials in a manner suggesting a site of block 75% across the membrane field from the outside. K(Ca) channels were blocked by tetraethylammonium (TEA) applied externally (Kd = 40 mM), but were unaffected by 10 mM TEA applied inside by pipette perfusion. K(Ca) channels were blocked by charybdotoxin (CTX) with a half-blocking dose of 3-4 nM, but were resistant to block by noxiustoxin (NTX) at 1-100 nM. Unlike K(Ca) channels in Jurkat T cells, the K(Ca) channels of normal resting or activated T cells were not blocked by apamin. We conclude that while K(Ca) and voltage-gated K+ channels in the same cells share similarities in ion permeation, Cs+ and Ba2+ block, and sensitivity to CTX, the underlying proteins differ in structural characteristics that determine channel gating and block by NTX and TEA.

A relational database for diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry.

A relational database was developed to facilitate the diagnosis of hematopoietic neoplasms using results of immunophenotyping by flow cytometry. This database runs on personal computers and uses backward-chaining search to arrive at conclusions. Results of immunologic marker studies are processed by the database to obtain a set of differential diagnoses. The current version of this database includes diagnostic immunophenotyping pattern for 33 hematopoietic neoplasms. We tested this database using 92 clinical cases from 2 tertiary care medical centers. The database ranked the actual diagnosis as 1 of the top 5 differential diagnoses in 93% of the cases tested. The user can modify the database contents to suit individual needs. This database has been posted on the World Wide Web for direct access. We propose that this user-friendly database is a potential tool for computer-assisted diagnosis of hematopoietic neoplasms.

Dysregulative lymphoma theory revisited; what can we learn from cytokines, CD classes and genes?

Based largely on animal experiments, a dysregulative lymphoma theory was designed some 15 years ago as a basis for computer simulation studies. The basic concept of this theory was that lymphomas arise when persistent immunostimulation coincides with some kind of immune deficiency. The present article reviews exemplary data from human lymphoma cases in an attempt to further support or to reject the hypothesis. T- and B-cell lymphomas according to the REAL classification were reviewed with regard to the functional effects of their CD markers and their ligands, interleukin activities and cytogenetic changes. The results are summarized and further discussed. Essentially in all cases, a combination of enhanced stimulation of lymphoid cells and functional deficiency is identified, thus supporting the general pathogenetic hypothesis of malignant lymphomas. Despite using the most modem lymphoma classification, however, lymphoma entities and theirfunctional changes are so heterogeneous that cases need to be studied individually when it comes to pathogenetic considerations.

A rule-based expert system for laboratory diagnosis of hemoglobin disorders.

OBJECTIVE: To illustrate the utility of a rule-based expert system in diagnosing hemoglobin disorders. DESIGN: A rule-based expert system was developed for diagnosing hemoglobin disorders. This expert system runs on IBM-compatible personal computers and uses a backward-chaining search strategy to draw conclusions. Laboratory data (ie, results of hemoglobin electrophoresis, quantitative measurements of hemoglobin F and hemoglobin A2 levels, and result of a sickle cell screen) are processed by the system using defined rules to obtain a set of differential diagnoses. Additional data, such as hematologic parameters, ethnicity of the patient, and the presence or absence of certain clinical signs and symptoms, aid in making a final diagnosis. The rules in the current version of this expert system include diagnostic criteria for 71 hemoglobin disorders. SETTING: Regional academic medical center. PATIENTS: We tested the system by using 58 survey sample cases offered by the College of American Pathologists during the period of January 1989 through December 1994. MAIN OUTCOME MEASURE: The established diagnosis for a given case must be included in the list of differential diagnoses suggested by the expert system. RESULTS: The expert system included the actual diagnosis as one of the top four differential diagnoses in 90% of the cases, whereas all the laboratories participating in the survey included it in 84% (mean) of the cases. CONCLUSION: We propose that this user-friendly expert system is a potential tool for computer-assisted diagnosis of hemoglobin disorders.

A web-based teaching program for laboratory diagnosis of coagulation disorders.

OBJECTIVE: To implement an interactive program for teaching coagulation disorders on the World Wide Web. DESIGN AND RESULTS: The core materials in this program were derived from a personal computer software program previously designed by the authors. Three modules were developed in this program: (1) a coagulation profile to display typical results of coagulation screening tests for each disorder; (2) a differential diagnosis module to generate a list of diagnoses that fit the test results in a given case; and (3) a synopsis of coagulopathy and therapy to provide essential information on disorders and therapeutic options. A total of 41 coagulation disorders were included in the knowledge base. CONCLUSIONS: Since the World Wide Web is increasingly more accessible to computer users, it has become an ideal medium for teaching purposes. Our experience with this program in teaching medical students and pathology residents at our institution has been very encouraging.

A java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry.

We describe the implementation of a Java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry. The current version of this Java applet includes the knowledge-base for 33 hematopoietic neoplasms and 43 diagnostic immunophenotyping markers. Java, a new object-oriented computing language, helps facilitate development of this applet, a platform-independent module that can be implemented on the World Wide Web. As the Web rapidly becomes more accessible to users around the world, Web-based software may eventually form the core of decision-support systems in clinical settings. Java-based applications, such as the one described in this paper, are expected to contribute significantly in this area.

Different expression and activity of the alpha1 and alpha4 isoforms of the Na,K-ATPase during rat male germ cell ontogeny.

Two catalytic isoforms of the Na,K-ATPase, alpha1 and alpha4, are present in testis. While alpha1 is ubiquitously expressed in tissues, alpha4 predominates in male germ cells. Each isoform has distinct enzymatic properties and appears to play specific roles. To gain insight into the relevance of the Na,K-ATPase alpha isoforms in male germ cell biology, we have studied the expression and activity of alpha1 and alpha4 during spermatogenesis and epididymal maturation. This was explored in rat testes at different ages, in isolated spermatogenic cells and in spermatozoa from the caput and caudal regions of the epididymis. Our results show that alpha1 and alpha4 undergo differential regulation during development. Whereas alpha1 exhibits only modest changes, alpha4 increases with gamete differentiation. The most drastic changes for alpha4 take place in spermatocytes at the mRNA level, and with the transition of round spermatids into spermatozoa for expression and activity of the protein. No further changes are detected during transit of spermatozoa through the epididymis. In addition, the cellular distribution of alpha4 is modified with development, being diffusely expressed at the plasma membrane and intracellular compartments of immature cells, finally to localize to the midregion of the spermatozoon flagellum. In contrast, the alpha1 isoform is evenly present along the plasma membrane of the developing and mature gametes. In conclusion, the Na,K-ATPase alpha1 and alpha4 isoforms are functional in diploid, meiotic and haploid male germ cells, alpha4 being significantly upregulated during spermatogenesis. These results support the importance of alpha4 in male gamete differentiation and function.

Heat-shock-induced activation of stress MAP kinase is regulated by threonine- and tyrosine-specific phosphatases.

In eukaryotic species from yeast to human, stress-activated protein kinases (SAPKs), members of a MAP kinase (MAPK) subfamily, regulate the transcriptional response to various environmental stress. It is poorly understood how diverse forms of stress are sensed and transmitted to SAPKs. Here, we report the heat shock regulation of the fission yeast Spc1 SAPK, a homolog of human p38 and budding yeast Hog1p. Although osmostress and oxidative stress induce strong activation of the Wis1 MAPK kinase (MEK), which activates Spc1 through Thr-171/Tyr-173 phosphorylation, activation of Wis1 upon heat shock is relatively weak and transient. However, in heat-shocked cells, Pyp1, the major tyrosine phosphatase that dephosphorylates and inactivates Spc1, is inhibited for its interaction with Spc1, which leads to strong activation of Spc1. Subsequently, Spc1 activity is rapidly attenuated by Thr-171 dephosphorylation, whereas Tyr-173 remains phosphorylated. Thr-171 dephosphorylation is compromised in a strain lacking functional type 2C serine/threonine phosphatases (PP2C), Ptc1 and Ptc3. Moreover, Ptc1 and Ptc3 can dephosphorylate Thr-171 of Spc1 both in vivo and in vitro. These observations strongly suggest that PP2C enzymes play an important role in the attenuation of Spc1 activity in heat-shocked cells. Thus, transient activation of Spc1 upon heat shock is ensured by differential regulation of threonine and tyrosine phosphorylation.