Lichenicidin biosynthesis and search for novel antibacterial peptides

A estirpe Bacillus licheniformis I89 possui a capacidade de produzir alguns compostos com actividade antibacteriana. No presente estudo, a separação desses compostos foi realizada através da aplicação de vários procedimentos, incluindo extracção em fase sólida e cromatografia liquida de alta pressão. Dois destes compostos bioactivos constituem o lantibiótico de classe II lichenicidina e são caracterizados pela massas molecular de 3250 Da (Bliα) e 3020 Da (Bliβ). O cluster responsável pela biossíntese da lichenicidina foi heterologamente expresso em Escherichia coli, constituindo a primeira descrição da produção de um lantibiótico totalmente in vivo num hospedeiro Gram-negativo. Este sistema foi subsequentemente explorado com o objectivo de relacionar cada proteína codificada no cluster genético da lichenicidina na produção dos péptidos Bliα e Bliβ. O desenvolvimento do sistema de trans complementação possibilitou a produção de variantes destes péptidos. A análise das massas moleculares destas variantes assim como a análise dos padrões de fragmentação obtidos por MS/MS permitiu a revisão de algumas das características estruturais previamente proposta para Bliα e Bliβ. A análise dos genes hipoteticamente envolvidos na protecção da estirpe produtora contra a acção antibiótica da lichenicidina revelou, que em E. coli, a sua ausência não resulta no aumento da susceptibilidade a este composto. Verificou-se também que a presença destes genes não é essencial para a produção de lichenicidina em E. coli. Foi também confirmado experimentalmente que a membrana externa da E. coli constitui uma barreira natural para a entrada dos péptidos na célula. De facto, uma das características intrigantes da produção de lichenicidina por uma bactéria de Gram negativo reside no mecanismo de transporte dos dois péptidos através da membrana externa. Neste estudo foi demonstrado que na ausência da proteína de membrana TolC, a massa molecular de Bliα e Bliβ não foi identificada no sobrenadante de E. coli, demonstrando assim que a sua presença no ambiente extra-celular não se devia a um processo de lise bacteriana. Foi ainda avaliada a capacidade da maquinaria biossintética da lichenicidina para produzir o lantibiótico haloduracina, através do processamento de chimeras lichenicidina-haloduracina, contudo, os resultados foram negativos. Verificou-se ainda que em determinadas condições de incubação, a diferenciação da morfologia original da estirpe B. licheniformis I89 pode ocorrer. Esta dissociação implicou a transição da colónia parental e rugosa para uma colónia de aparência mais simples e suave. Desta forma, as diferenças das duas morfologias em termos de taxa de crescimento, esporulação e actividade antibiótica foram investigadas. Considerando especificamente Bliα e Bliβ verificou-se que a abundância destes péptidos nas culturas do fenótipo fino é geralmente inferior aquela identificada nas culturas do fenótipo parental. Por último, a diversidade de elementos genéticos constituintes de péptido sintetases não ribossomais (NRPS) foi investigada em lagoas no centro de Portugal e em solos provenientes de caves do sul de Portugal, revelando a presença de potenciais novas NRPS nestes ambientes.

Molecular regulation of cork development: the QsMYB1 gene

Cork is a natural and renewable material obtained as a sustainable product from cork oak (Quercus suber L.) during the tree’s life. Cork formation is a secondary growth derived process resulting from the activity of cork cambium. However, despite its economic importance, only very limited knowledge is available about the molecular mechanisms underlying the regulation of cork biosynthesis and differentiation. The work of this PhD thesis was focused on the characterization of an R2R3-MYB transcription factor, the QsMYB1, previously identified as being putatively involved in the regulatory network of cork development. The first chapter introduces cork oak and secondary growth, with special emphasis on cork biosynthesis. Some findings concerning transcriptional regulation of secondary growth are also described. The MYB superfamily and the R2R3-MYB family (in particular) of transcription factors are introduced. Chapter II presents the complete QsMYB1 gene structure with the identification of two alternative splicing variants. Moreover, the results of QsMYB1 expression analysis, done by real-time PCR, in several organs and tissues of cork oak are also reported. Chapter III is dedicate to study the influence of abiotic stresses (drought and high temperature) and recovery on QsMYB1 expression levels. The effects of exogenous application of phytohormones on the expression profile of QsMYB1 gene are evaluated on Chapter IV. Chapter V describes the reverse genetic approach to obtain transgenic lines of Populus tremula L. x tremulóides Michx. overexpressing the QsMYB1 gene. Finally, in Chapter VI the final conclusions of this PhD thesis are presented and some future research directions are pointed based on the obtained results.

Pregnancy and newborns disorders followed by urine metabolomics

Chapter 1 introduces the scope of the work by identifying the clinically relevant prenatal disorders and presently available diagnostic methods. The methodology followed in this work is presented, along with a brief account of the principles of the analytical and statistical tools employed. A thorough description of the state of the art of metabolomics in prenatal research concludes the chapter, highlighting the merit of this novel strategy to identify robust disease biomarkers. The scarce use of maternal and newborn urine in previous reports enlightens the relevance of this work. Chapter 2 presents a description of all the experimental details involved in the work performed, comprising sampling, sample collection and preparation issues, data acquisition protocols and data analysis procedures. The proton Nuclear Magnetic Resonance (NMR) characterization of maternal urine composition in healthy pregnancies is presented in Chapter 3. The urinary metabolic profile characteristic of each pregnancy trimester was defined and a 21-metabolite signature found descriptive of the metabolic adaptations occurring throughout pregnancy. 8 metabolites were found, for the first time to our knowledge, to vary in connection to pregnancy, while known metabolic effects were confirmed. This chapter includes a study of the effects of non-fasting (used in this work) as a possible confounder. Chapter 4 describes the metabolomic study of 2nd trimester maternal urine for the diagnosis of fetal disorders and prediction of later-developing complications. This was achieved by applying a novel variable selection method developed in the context of this work. It was found that fetal malformations (FM) (and, specifically those of the central nervous system, CNS) and chromosomal disorders (CD) (and, specifically, trisomy 21, T21) are accompanied by changes in energy, amino acids, lipids and nucleotides metabolic pathways, with CD causing a further deregulation in sugars metabolism, urea cycle and/or creatinine biosynthesis. Multivariate analysis models´ validation revealed classification rates (CR) of 84% for FM (87%, CNS) and 85% for CD (94%, T21). For later-diagnosed preterm delivery (PTD), preeclampsia (PE) and intrauterine growth restriction (IUGR), it is found that urinary NMR profiles have early predictive value, with CRs ranging from 84% for PTD (11-20 gestational weeks, g.w., prior to diagnosis), 94% for PE (18-24 g.w. pre-diagnosis) and 94% for IUGR (2-22 g.w. pre-diagnosis). This chapter includes results obtained for an ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) study of pre-PTD samples and correlation with NMR data. One possible marker was detected, although its identification was not possible. Chapter 5 relates to the NMR metabolomic study of gestational diabetes mellitus (GDM), establishing a potentially predictive urinary metabolic profile for GDM, 2-21 g.w. prior to diagnosis (CR 83%). Furthermore, the NMR spectrum was shown to carry information on individual phenotypes, able to predict future insulin treatment requirement (CR 94%). Chapter 6 describes results that demonstrate the impact of delivery mode (CR 88%) and gender (CR 76%) on newborn urinary profile. It was also found that newborn prematurity, respiratory depression, large for gestational age growth and malformations induce relevant metabolic perturbations (CR 82-92%), as well as maternal conditions, namely GDM (CR 82%) and maternal psychiatric disorders (CR 91%). Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the value of maternal or newborn urine metabolomics for pregnancy monitoring and disease prediction, towards the development of new early and non-invasive diagnostic methods.