Legionella pneumophila Strain 130b Possesses a Unique Combination of Type IV Secretion Systems and Novel Dot/Icm Secretion System Effector Proteins

Legionella pneumophila is a ubiquitous inhabitant of environmental water reservoirs. The bacteria infect a wide variety of protozoa and, after accidental inhalation, human alveolar macrophages, which can lead to severe pneumonia. The capability to thrive in phagocytic hosts is dependent on the Dot/Icm type IV secretion system (T4SS), which translocates multiple effector proteins into the host cell. In this study, we determined the draft genome sequence of L. pneumophila strain 130b (Wadsworth). We found that the 130b genome encodes a unique set of T4SSs, namely, the Dot/Icm T4SS, a Trb-1-like T4SS, and two Lvh T4SS gene clusters. Sequence analysis substantiated that a core set of 107 Dot/Icm T4SS effectors was conserved among the sequenced L. pneumophila strains Philadelphia-1, Lens, Paris, Corby, Alcoy, and 130b. We also identified new effector candidates and validated the translocation of 10 novel Dot/Icm T4SS effectors that are not present in L. pneumophila strain Philadelphia-1. We examined the prevalence of the new effector genes among 87 environmental and clinical L. pneumophila isolates. Five of the new effectors were identified in 34 to 62% of the isolates, while less than 15% of the strains tested positive for the other five genes. Collectively, our data show that the core set of conserved Dot/Icm T4SS effector proteins is supplemented by a variable repertoire of accessory effectors that may partly account for differences in the virulences and prevalences of particular L. pneumophila strains.Many bacterial pathogens use specialized protein secretion systems to deliver into host cells virulence effector proteins that interfere with the antimicrobial responses of the host and facilitate the survival of the pathogen (5, 10, 22, 76). The components of these secretion systems are highly conserved. Comparative bioinformatic analysis of pathogen genomes revealed an ever-increasing number of proteins that are likely to be translocated virulence effectors. Only a few effectors have been characterized, and their biochemical functions are unknown, yet the identification of translocated effector proteins and their mechanism of action is fundamental to understanding the pathogenesis of many bacterial infections.Legionella pneumophila is the etiological agent of Legionnaires’ disease, which is an acute form of pneumonia (34, 66). L. pneumophila serogroup 1 accounts for more than 90% of all cases worldwide. Although L. pneumophila is an environmental organism, its ability to survive and replicate in amoebae, such as Acanthamoeba castellanii, has equipped the organism with the capacity to replicate in human cells (45, 58, 68, 80). Following the inhalation of aerosols containing L. pneumophila into the human lung, the bacteria promote their uptake by alveolar macrophages and epithelial cells (21, 44, 71), where they replicate within an intracellular vacuole that avoids fusion with the endocytic pathway (46, 47). L. pneumophila evades endosome fusion by establishing a replicative vacuole that shares many characteristics with the endoplasmic reticulum (ER) (48, 53, 89). The formation of the unique Legionella-containing vacuole (LCV) requires the Dot (defective in organelle trafficking)/Icm (intracellular multiplication) type IV secretion system (T4SS) (85, 91).Type IV secretion systems are versatile multiprotein complexes that can transport DNA and proteins to recipient bacteria or host cells (19, 36). Based on structural and organizational similarity, three main T4SS classes have been distinguished: T4SSA, T4SSB, and genomic island-associated T4SS (GI-T4SS) (3, 51). The genetic organization and components of T4SSA have high similarity to the classical VirB4/VirD4 transfer DNA (T-DNA) transfer system of Agrobacterium tumefaciens (3). In the sequenced L. pneumophila strains, three distinct T4SSAs with different prevalences among strains have been described: Lvh, Trb-1, and Trb-2 (37, 83, 86). The Lvh (Legionella vir homologues) T4SSA is not required for intracellular bacterial replication in macrophages and amoebae but seems to contribute to infection at lower temperatures and inclusion in Acanthamoeba castellanii cysts (6, 78, 86).The Dot/Icm T4SSB secretes and translocates multiple bacterial effector proteins into the vacuolar membrane and cytosol of the host cell (31, 70). The functions of the great majority of these proteins are unknown. Several effectors have similarity to eukaryotic proteins or carry eukaryotic motifs (7, 16, 25). They are predicted to allow L. pneumophila to manipulate host cell processes by functional mimicry (31, 70). Many of the effectors have paralogues or belong to related protein families that are likely to have overlapping functions.Comparative analysis of the recent L. pneumophila genome sequences has revealed their diversity and plasticity (16, 18, 88). This plasticity enables the bacterium to acquire new genetic factors, including new effector proteins that enhance bacterial replication and survival in eukaryotic cells. This has resulted in a diverse species in which 7 to 11% of the genes in each L. pneumophila isolate are strain specific (38). Some of the diversity occurs among genes encoding Dot/Icm effectors, including those within the same family. For example some ankyrin repeat and F-box effector genes are highly conserved, while others vary considerably between L. pneumophila isolates (16, 41, 62, 73, 75). Even though it is not experimentally proven, the subsequent selection of Dot/Icm effectors among different L. pneumophila isolates might reflect their usefulness in host-pathogen interactions, whereby different effector repertoires are maintained during adaptation to different environmental niches or hosts. This may then translate into differences in virulence during opportunistic infection.In this study, we sequenced the genome of L. pneumophila serogroup 1 strain 130b (ATCC BAA-74, also known as Wadsworth or AA100) (29, 30) and analyzed the sequence for T4SSs and novel Dot/Icm effectors. This analysis established that the strain encodes a unique combination of T4SSs and a set of Dot/Icm effectors that had not been described previously but that are present in a range of clinical and environmental L. pneumophila isolates. The new effectors represent the latest members of an ever-growing list of T4SS substrates and presumably reflect the great capacity of L. pneumophila for adaptation to a variety of hosts.     

Fully-automated image processing software to analyze calcium traces in populations of single cells

Advances in fluorescence live cell imaging over the last decade have revolutionized cell biology by providing access to single-cell information in space and time. One current limitation of live-cell imaging is the lack of automated procedures to analyze single-cell data in large cell populations. Most commercially available image processing softwares do not have built-in image segmentation tools that can automatically and accurately extract single-cell data in a time series. Consequently, individual cells are usually identified manually, a process which is time consuming and inherently low-throughput. We have developed a MATLAB-based image segmentation algorithm that reliably detects individual cells in dense populations and measures their fluorescence intensity over time. To demonstrate the value of this algorithm, we measured store-operated calcium entry (SOCE) in hundreds of individual cells. Rapid access to single-cell calcium signals in large populations allowed us to precisely determine the relationship between SOCE activity and STIM1 levels, a key component of SOCE. Our image processing tool can in principle be applied to a wide range of live-cell imaging modalities and cell-based drug screening platforms.     

Benefits and Costs of Dominance in the Angelfish Centropyge bicolor

Social groups are often structured by dominance hierarchies in which subordinates consistently defer to dominants. High‐ranking individuals benefit by gaining inequitable access to resources, and often achieve higher reproductive success; but may also suffer costs associated with maintaining dominance. We used a large‐scale field study to investigate the benefits and costs of dominance in the angelfish Centropyge bicolor, a sequential hermaphrodite. Each haremic group contains a single linear body size‐based hierarchy with the male being most dominant, followed by several females in descending size order. Compared to their subordinate females, dominant males clearly benefited from disproportionately high spawning frequencies, but bore costs in lower foraging rates and greater aggressive defence of their large territories. Within the female hierarchy, more dominant individuals benefited from higher spawning frequencies and larger home ranges, but displayed neither higher foraging rates nor spawn order priority. However, dominance in females was also linked to aggressiveness, particularly towards immediate subordinates, suggesting that females were using energetically costly aggression to maintain their high rank. We further showed by experimentally removing dominant females that the linear hierarchy was also a social queue, with subordinates growing to inherit higher rank with its attendant benefits and costs when dominants disappeared. We suggest that in C. bicolor, the primary benefit of high rank is increased reproductive success in terms of current spawning frequency and the prospect of inheriting the male position in the near future, which may be traded off against the cost of aggressively defending rank and territory.     

Complexity of the microRNA repertoire revealed by next-generation sequencing

MicroRNAs (miRNAs) have been implicated to play key roles in normal physiological functions, and altered expression of specific miRNAs has been associated with a number of diseases. It is of great interest to understand their roles and a prerequisite for such study is the ability to comprehensively and accurately assess the levels of the entire repertoire of miRNAs in a given sample. It has been shown that some miRNAs frequently have sequence variations termed isomirs. To better understand the extent of miRNA sequence heterogeneity and its potential implications for miRNA function and measurement, we conducted a comprehensive survey of miRNA sequence variations from human and mouse samples using next generation sequencing platforms. Our results suggest that the process of generating this isomir spectrum might not be random and that heterogeneity at the ends of miRNA affects the consistency and accuracy of miRNA level measurement. In addition, we have constructed a database from our sequencing data that catalogs the entire repertoire of miRNA sequences (http://galas.systemsbiology.net/cgi-bin/isomir/find.pl). This enables users to determine the most abundant sequence and the degree of heterogeneity for each individual miRNA species. This information will be useful both to better understand the functions of isomirs and to improve probe or primer design for miRNA detection and measurement.     

A reliable phenotype predictor for human immunodeficiency virus type 1 subtype C based on envelope V3 sequences

In human immunodeficiency virus type 1 (HIV-1) subtype B infections, the emergence of viruses able to use CXCR4 as a coreceptor is well documented and associated with accelerated CD4 decline and disease progression. However, in HIV-1 subtype C infections, responsible for more than 50% of global infections, CXCR4 usage is less common, even in individuals with advanced disease. A reliable phenotype prediction method based on genetic sequence analysis could provide a rapid and less expensive approach to identify possible CXCR4 variants and thus increase our understanding of subtype C coreceptor usage. For subtype B V3 loop sequences, genotypic predictors have been developed based on position-specific scoring matrices (PSSM). In this study, we apply this methodology to a training set of 279 subtype C sequences of known phenotypes (228 non-syncytium-inducing [NSI] CCR5⁺ and 51 SI CXCR4⁺ sequences) to derive a C-PSSM predictor. Specificity and sensitivity distributions were estimated by combining data set bootstrapping with leave-one-out cross-validation, with random sampling of single sequences from individuals on each bootstrap iteration. The C-PSSM had an estimated specificity of 94% (confidence interval [CI], 92% to 96%) and a sensitivity of 75% (CI, 68% to 82%), which is significantly more sensitive than predictions based on other methods, including a commonly used method based on the presence of positively charged residues (sensitivity, 47.8%). A specificity of 83% and a sensitivity of 83% were achieved with a validation set of 24 SI and 47 NSI unique subtype C sequences. The C-PSSM performs as well on subtype C V3 loops as existing subtype B-specific methods do on subtype B V3 loops. We present bioinformatic evidence that particular sites may influence coreceptor usage differently, depending on the subtype.     

Genetic epidemiology of rheumatoid arthritis: what to expect from Latin America?

Rheumatoid arthritis is a chronic and systemic autoimmune disease characterized by inflammation and destruction of the synovial joints. It affects approximately 0.5% of the Latin-American population and is three times more common in women than in men. Evidence of familial aggregation (lambdas=2-17) was the first indication of a genetic susceptibility to disease. As in other autoimmune diseases, it has a complex genetic basis. Results from whole-genome scans indicate that the HLA region contains a significant and consistent set of linked loci. However, HLA accounts for only one-third of the genetic susceptibility of disease, indicating that non-HLA genes are also involved in the disease susceptibility. In Latin-America, association with HLA-DRB1*0404 and TNF -308A alleles has been uniformly established; however, many other candidate genes remain to be studied. The identification of genetic factors conferring susceptibility to rheumatoid arthritis will contribute to the knowledge of the pathogenic mechanisms, ability to predict its occurrence, the development of diagnostic tools, prognosis, and treatment. The genetic epidemiology of rheumatoid arthritis is herein reviewed; a set of recommendations is provided for the design, analysis and interpretation of genetic association studies in the context of Latin-American populations.     

The effect of the loading condition corresponding to functional shoulder activities on trabecular architecture of glenoid

There is little information on bone morphology as it relates to shoulder activities. This study investigated how loads corresponding to functional shoulder activities affect the trabecular architecture of the glenoid. Two different protocols were used. Protocol 1 investigated the material and morphological characteristics of the glenoid by analyzing digitized trabecular bone images obtained from 12 cadaver scapula specimens. Protocol 2 used a finite element analysis (FEA) to compute the principal stress trajectories acting within the glenoid. The principal stresses were derived for five loading conditions, which represent typical functional shoulder activities. The study showed that shoulder activity involved in carrying a light load makes the greatest contribution to the trabecular architecture compared with other shoulder activities considered in this study (p<0.05). With all of the activities considered in this study, the lateral region, particularly in the anterior and posterior portions, showed greater deviation and greater sensitivity to variation under loading conditions than did the other regions (p<0.05). These results suggest that owing to the extra sensitivity of the anterior and posterior parts of the lateral region, these regions may be more informative in the analysis of the trabecular architecture following shoulder musculoskeletal injuries. These results may provide essential design information for shoulder prostheses and contribute to an understanding of morphological changes resulting from injury.     

A systematic bioinformatics approach for selection of epitope-based vaccine targets

Epitope-based vaccines provide a new strategy for prophylactic and therapeutic application of pathogen-specific immunity. A critical requirement of this strategy is the identification and selection of T-cell epitopes that act as vaccine targets. This study describes current methodologies for the selection process, with dengue virus as a model system. A combination of publicly available bioinformatics algorithms and computational tools are used to screen and select antigen sequences as potential T-cell epitopes of supertype human leukocyte antigen (HLA) alleles. The selected sequences are tested for biological function by their activation of T-cells of HLA transgenic mice and of pathogen infected subjects. This approach provides an experimental basis for the design of pathogen specific, T-cell epitope-based vaccines that are targeted to majority of the genetic variants of the pathogen, and are effective for a broad range of differences in human leukocyte antigens among the global human population.