Transcription of alternative oxidase (AOX) and plastid terminal oxidase (PTOX) during stress-regulated root tissue growth in Daucus carota L. - An approach to identify functional marker candidates for breeding on carrot yield stability

A presente tese explora a hipótese de utilização dos genes da oxidase alternativa (AOX) e da oxidase terminal da plastoquinona (PTOX) como genes-alvo para o desenvolvimento de marcadores funcionais (MF) para avaliar a performance do crescimento em cenoura, fator determinante da produtividade. Para avaliar se os referidos genes estão associados com o crescimento da cenoura procedeu—se ao seu isolamento e posterior análise dos seus perfis de transcrição em diversos sistemas biológicos. O sistema in vitro selecionado, denominado sistema de culturas primárias, permitiu avaliar alterações na quantidade de transcritos desses genes durante os processos de reprogramação celular e crescimento. Ao nível da planta foi também estudado o efeito do frio na expressão precoce dos genes AOX. Ambos os genes DcAOX1 e DcAOX2a revelaram uma resposta rápida e um padrão semelhante apos stresse (inoculação in vitro e resposta ao frio). Foi igualmente verificado um incremento na expressão do gene DcPTOX durante a fase inicial do processo de reprogramação celular. Estudos de expressão dos genes AOX durante o desenvolvimento da raiz da cenoura revelaram que o gene DcAOX2a será potencialmente o gene mais envolvido neste processo. De modo a avaliar a hipótese de envolvimento do gene DcPTOX no crescimento da raíz procederam—se a estudos de expressão ao nível do tecido meristemático. Todavia, para um mais completo entendimento da ligação entre DcPTOX e o crescimento secundário e/ou acumulação de carotenos, a expressão do gene DcPTOX foi também avaliada em raízes de cenoura durante o desenvolvimento, utilizando cultivares caracterizadas por distintos conteúdos de carotenos. Os resultados obtidos demonstraram a associação do gene DcPTOX a ambos os processos. O envolvimento da PTOX no crescimento adaptativo da raiz foi analisado com um ensaio que permitiu identificar, no tecido meristemático, uma resposta precoce do gene DcPTOX face a uma diminuição da temperatura. Adicionalmente, foi efetuada a seleção de genes de referência para uma analise precisa da expressão génica por RT-qPCR em diversos sistemas biológicos de cenoura, e a importância do seu estudo ao nível do sistema biológico foi realçada. Os resultados desta tese são encorajadores para prosseguir os estudos de utilização dos genes AOX e PTOX como MF no melhoramento da performance do crescimento adaptativo em cenoura, fator determinante para a produtividade; ABSTRACT: This thesis explores the hypothesis of using the alternative oxidase (AOX) and theplastid terminal oxidase (PTOX) as target genes for functional marker (FM) development for yield-determining growth performance in carrot. To understand if these genes are associated to growth, different AOX gene family members and the single PTOX gene were isolated, and their expression patterns evaluated in diverse carrot plant systems. An in-vitro primary culture system was selected to study AOX and PTOX transcript changes during cell reprogramming and growth performance. At plant level, a putative early response of AOX to chilling was also evaluated. In fact, both DcAOXl and DcAOXZa were early responsive and showed similar patterns under stress conditions (in vitro inoculation and chilling). A role for DcPTOX during earliest events of cell reprogramming was also suggested. Next, the expression profiles of AOX gene family members during carrot tap root development were investigated. DcAOXZa was identified as the most responsive gene to root development. In order to evaluate if DcPTOX is associated with carrot tap root growth performance, DcPTOX transcript levels were measured in the central root meristem. To further understand whether DcPTOX is associated with secondary growth and/or carotenoids accumulation, DcPTOX expression was also studied in deveIOping carrot tap roots in cultivars with different carotenoids contents. The results indicated that DcPTOX associates to both carotenoid biosynthesis and secondary growth during storage root development. To obtain further insights into the involvement of PTOX on adaptive growth, the early effects of temperature decrease were explored in the root meristem, where a short—term early response in DcPTOX was found, probably associated with adaptive growth. Furthermore, a selection of the most suitable reference genes for accurate RT—qPCR analysis in several carrot experimental systems was performed and discussed. The present research provides the necessary toolbox for continuing studies in carrot AOX and PTOX genes as promising resources for FM candidates in order to assist breeding on yield—determining adaptive growth performance.

Knockin' on Digital Doors. Dealing with online [dis]credit in an era of digital scientific inquiry

This chapter aims at presenting and discussing credible online recruitment eliciting techniques targeting scientific purposes adjusted to the digital age. Based on several illustrations conducted by the author within the framework of both quantitative and qualitative inquiries, this chapter critically explores the digital ethos in three main challenges faced when dealing with online recruitment for scientific purposes: entering the normality of the everyday life, entering the idiosyncrasy of multicultural lives, and entering the chaos of busy lives. By the end, a toolbox for establishing and evaluating (dis)credibility within online recruitment strategies is presented. Moreover, it is argued that success of data collection at the present time in online environments seems to rely as ever on internal factors of the communication process vis-à-vis e-mail content, design and related strategies.

On The Use of Genetic Algorithms for Parameter Identification in Anaerobic Digestion Modelling

Anaerobic digestion (AD) of wastewater is a very interesting option for waste valorization, energy production and environment protection. It is a complex, naturally occurring process that can take place inside bioreactors. The capability of predicting the operation of such bioreactors is important to optimize the design and the operation conditions of the reactors, which, in part, justifies the numerous AD models presently available. The existing AD models are not universal, have to be inferred from prior knowledge and rely on existing experimental data. Among the tasks involved in the process of developing a dynamical model for AD, the estimation of parameters is one of the most challenging. This paper presents the identifiability analysis of a nonlinear dynamical model for a batch reactor. Particular attention is given to the structural identifiability of the model, which considers the uniqueness of the estimated parameters. To perform this analysis, the GenSSI toolbox was used. The estimation of the model parameters is achieved with genetic algorithms (GA) which have already been used in the context of AD modelling, although not commonly. The paper discusses its advantages and disadvantages.