Genome dynamics and diversity of Shigella species, the etiologic agents of bacillary dysentery

The Shigella bacteria cause bacillary dysentery, which remains a significant threat to public health. The genus status and species classification appear no longer valid, as compelling evidence indicates that Shigella, as well as enteroinvasive Escherichia coli, are derived from multiple origins of E.coli and form a single pathovar. Nevertheless, Shigella dysenteriae serotype 1 causes deadly epidemics but Shigella boydii is restricted to the Indian subcontinent, while Shigella flexneri and Shigella sonnei are prevalent in developing and developed countries respectively. To begin to explain these distinctive epidemiological and pathological features at the genome level, we have carried out comparative genomics on four representative strains. Each of the Shigella genomes includes a virulence plasmid that encodes conserved primary virulence determinants. The Shigella chromosomes share most of their genes with that of E.coli K12 strain MG1655, but each has over 200 pseudogenes, 300∼700 copies of insertion sequence (IS) elements, and numerous deletions, insertions, translocations and inversions. There is extensive diversity of putative virulence genes, mostly acquired via bacteriophage-mediated lateral gene transfer. Hence, via convergent evolution involving gain and loss of functions, through bacteriophage-mediated gene acquisition, IS-mediated DNA rearrangements and formation of pseudogenes, the Shigella spp. became highly specific human pathogens with variable epidemiological and pathological features

Joint Commonsense and Relation Reasoning for Image and Video Captioning

Exploiting relationships between objects for image and video captioning has received increasing attention. Most existing methods depend heavily on pre-trained detectors of objects and their relationships, and thus may not work well when facing detection challenges such as heavy occlusion, tiny-size objects, and long-tail classes. In this paper, we propose a joint commonsense and relation reasoning method that exploits prior knowledge for image and video captioning without relying on any detectors. The prior knowledge provides semantic correlations and constraints between objects, serving as guidance to build semantic graphs that summarize object relationships, some of which cannot be directly perceived from images or videos. Particularly, our method is implemented by an iterative learning algorithm that alternates between 1) commonsense reasoning for embedding visual regions into the semantic space to build a semantic graph and 2) relation reasoning for encoding semantic graphs to generate sentences. Experiments on several benchmark datasets validate the effectiveness of our prior knowledge-based approach

Modulation of Auxin Signaling and Development by Polyadenylation Machinery

Polyadenylation influences gene expression by affecting mRNA stability, transport, and translatability. Here, we report that Cleavage stimulation Factor 77 (AtCstF77), a component of the pre-mRNA 3'-end polyadenylation machinery, affects polyadenylation site (PAS) selection in transcripts of some auxin signaling genes in Arabidopsis (Arabidopsis thaliana). Disruption of AtCstF77 reduced auxin sensitivity and decreased the expression of the auxin reporter DR5-GFP. Null mutations of cstf77 caused severe developmental defects, but were not lethal as previously reported. cstf77-2 genetically interacted with transport inhibitor response 1 auxin signaling f-box 2 auxin receptor double mutants, further supporting that polyadenylation affects auxin signaling. AtCstF77 was ubiquitously expressed in embryos, seedlings, and adult plants. The AtCstF77 protein was localized in the nucleus, which is consistent with its function in pre-mRNA processing. We observed that PASs in transcripts from approximately 2,400 genes were shifted in the cstf77-2 mutant. Moreover, most of the PAS shifts were from proximal to distal sites. Auxin treatment also caused PAS shifts in transcripts from a small number of genes. Several auxin signaling or homeostasis genes had different PASs in their transcripts in the cstf77-2 mutant. The expression levels of AUXIN RESISTANT 2/INDOLE-3-ACETIC ACID 7 were significantly increased in the cstf77-2 mutant, which can partially account for the auxin resistance phenotype of this mutant. Our results demonstrate that AtCstF77 plays pleiotropic and critical roles in Arabidopsis development. Moreover, disruption of AtCstF64, another component of the polyadenylation machinery, led to developmental defects and reduced auxin response, similar to those of the cstf77-2 mutant. We conclude that AtCstF77 affects auxin responses, likely by controlling PAS selection of transcripts of some auxin signaling components

Rapid and Sensitive Detection of Severe Acute Respiratory Syndrome Coronavirus by Rolling Circle Amplification

The severe acute respiratory syndrome (SARS) epidemic of 2003 was responsible for 774 deaths and caused significant economic damage worldwide. Since July 2003, a number of SARS cases have occurred in China, raising the possibility of future epidemics. We describe here a rapid, sensitive, and highly efficient assay for the detection of SARS coronavirus (SARS-CoV) in cultured material and a small number (n = 7) of clinical samples. Using rolling circle amplification (RCA), we were able to achieve sensitive detection levels of SARS-CoV RNA in both solid and liquid phases. The main advantage of RCA is that it can be performed under isothermal conditions with minimal reagents and avoids the generation of false-positive results, a problem that is frequently encountered in PCR-based assays. Furthermore, the RCA technology provides a faster, more sensitive, and economical option to currently available PCR-based methods