The experience of teaching introductory programming skills to bioscientists in Brazil.

Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to insights and bridge communication between life scientists and computer scientists. Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. Here, we describe the conception, organization, and implementation of the Brazilian Python Workshop for Biological Data. This workshop has been organized by graduate and undergraduate students and supported, mostly in administrative matters, by experienced faculty members since 2017. The workshop was conceived for teaching bioscientists, mainly students in Brazil, on how to program in a biological context. The goal of this article was to share our experience with the 2020 edition of the workshop in its virtual format due to the Coronavirus Disease 2019 (COVID-19) pandemic and to compare and contrast this year's experience with the previous in-person editions. We described a hands-on and live coding workshop model for teaching introductory Python programming. We also highlighted the adaptations made from in-person to online format in 2020, the participants' assessment of learning progression, and general workshop management. Lastly, we provided a summary and reflections from our personal experiences from the workshops of the last 4 years. Our takeaways included the benefits of the learning from learners' feedback (LLF) that allowed us to improve the workshop in real time, in the short, and likely in the long term. We concluded that the Brazilian Python Workshop for Biological Data is a highly effective workshop model for teaching a programming language that allows bioscientists to go beyond an initial exploration of programming skills for data analysis in the medium to long term.

Dissemination of blaKPC-2 in an NTEKPC by an IncX5 plasmid.

blaKPC-2 is disseminated worldwide usually in Tn4401, a Tn3-family transposon, and primarily in Klebsiella pneumoniae ST258, a well-known lineage that is distributed worldwide and responsible for several outbreaks. Although occurring rarely, blaKPC-2 has been described in non-Tn4401 elements (NTEKPCs), first in China and then in a few other countries. This study reports the dissemination of a blaKPC-2-carrying NTEKPC among ST11/CG258 K. pneumoniae strains and ST1642 K. quasipneumoniae subsp. quasipneumoniae AMKP9 in an Amazonian hospital. The dissemination was due to pAMKP10, an ~48 kbp IncX5 plasmid carrying ΔISKpn6/blaKPC-2/ISKpn27 in a Tn1722-based unit. Although similar to NTEKPC-Ia from pKP048 described in China, a different transposase is present upstream of ISKpn27. Additionally, mutations were identified downstream of ISKpn27 but did not affect the blaKPC-2 promoter regions. pAMKP10 conjugated in vitro only from CG258 isolates. Since CG258 strains are generally well adapted to the hospital environment, it is significant that pAMKP10 has found its way into this clinically significant clonal group. The impact of inter- and intraspecies dissemination of NTEKPCs and IncX5 plasmids harboring carbapenem resistance genes is unknown, but monitoring these plasmids could reveal their dissemination preferences.

A blueprint of septin expression in human tissues.

Septins are GTP-binding proteins that polymerize to form filaments involved in several important biological processes. In human, 13 distinct septins genes are classified in four groups. Filaments formed by septins are complex and usually involve members of each group in specific positions. Expression data from GTEx database, a publicly available expression database with thousands of samples derived from multiple human tissues, was used to evaluate the expression of septins. The brain is noticeably a hotspot for septin expression where few genes contribute to a large portion of septin transcript pool. Co-expression data between septins suggests two predominant specific complexes in brain tissues and one filament in other tissues. SEPT3 and SEPT5 are two genes highly expressed in the brain and with a strong co-expression in all brain tissues. Additional analysis shows that the expression of these two genes is highly variable between individuals, but significantly dependent on the individual's age. Age-dependent decrease of expression from those two septins involved in synapses reinforces their possible link with cognitive decay and neurodegenerative diseases associated with aging. Analysis of enrichment of Gene Ontology terms from lists of genes consistently co-expressed with septins suggests participation in diverse biological processes, pointing out some novel roles for septins. Interestingly, we observed strong consistency of some of these terms with experimentally described roles of septins. Coordination of septins expression with genes involved in DNA repair and cell cycle control may provide insights for previously described links between septins and cancer.

Full Genome Sequence and sfRNA Interferon Antagonist Activity of Zika Virus from Recife, Brazil.

BACKGROUND: The outbreak of Zika virus (ZIKV) in the Americas has transformed a previously obscure mosquito-transmitted arbovirus of the Flaviviridae family into a major public health concern. Little is currently known about the evolution and biology of ZIKV and the factors that contribute to the associated pathogenesis. Determining genomic sequences of clinical viral isolates and characterization of elements within these are an important prerequisite to advance our understanding of viral replicative processes and virus-host interactions. METHODOLOGY/PRINCIPAL FINDINGS: We obtained a ZIKV isolate from a patient who presented with classical ZIKV-associated symptoms, and used high throughput sequencing and other molecular biology approaches to determine its full genome sequence, including non-coding regions. Genome regions were characterized and compared to the sequences of other isolates where available. Furthermore, we identified a subgenomic flavivirus RNA (sfRNA) in ZIKV-infected cells that has antagonist activity against RIG-I induced type I interferon induction, with a lesser effect on MDA-5 mediated action. CONCLUSIONS/SIGNIFICANCE: The full-length genome sequence including non-coding regions of a South American ZIKV isolate from a patient with classical symptoms will support efforts to develop genetic tools for this virus. Detection of sfRNA that counteracts interferon responses is likely to be important for further understanding of pathogenesis and virus-host interactions.