Morphological and physiological responses of apple trees under photoselective colored nets

In recent years and thanks to innovative technological advances in supplemental lighting sources and photo-selective filters, light quality manipulation (i.e. spectral composition of sunlight) have demonstrated positive effects on plant performance in ornamentals and vegetable crops. However, this aspect has been much less studied in fruit trees due to the difficulty of conditioning the light environment of orchards. The aim of the present PhD research was to study the use of different colored nets with selective light transmission in the blue (400 – 500 nm), red (600 – 700 nm) and near infrared (700 – 1100 nm) wavelengths as a tool to the light quality management and its morphological and physiological effects in field-grown apple trees. Chapter I provides a review the current status on physiological and technological advances on light quality management in fruit trees. Chapter II shows the main effect of colored nets on morpho-anatomical (stomata density, mesophyll structure and leaf mass area index) characteristics in apple leaves. Chapter III provides an analysis about the effect of micro-environmental conditions under colored nets on leaf stomatal conductance and leaf photosynthetic capacity. Chapter IV describes a study approach to evaluate the impact of colored nets on fruit growth potential in apples. Summing up results obtained in the present PhD dissertation clearly demonstrate that light quality management through photo-selective colored nets presents an interesting potential for the manipulation of plant morphological and physiological traits in apple trees. Cover orchards with colored nets might be and alternative technology to address many of the most important challenges of modern fruit growing, such as: the need for the efficient use of natural resources (water, soil and nutrients) the reduction of environmental impacts and the mitigation of possible negative effects of global climate change.

Molecular and functional characterization of the chemotactic genes in the PCBs-degrader Pseudomonas pseudoalcaligenes KF707

Although bacteria represent the simplest form of life on Earth, they have a great impact on all living beings. For example the degrader bacterium Pseudomonas pseudoalcaligenes KF707 is used in bioremediation procedures for the recovery of polluted sites. Indeed, KF707 strain is know for its ability to degrade biphenyl and polychlorinated biphenyls - to which is chemotactically attracted - and to tolerate the oxydative stress due to toxic metal oxyanions such as tellurite and selenite. Moreover, in bioremediation processes, target compounds can be easily accessible to KF707 through biofilm formation. All these considerations suggest that KF707 is such a unique microorganism and this Thesis work has been focused on determining the molecular nature of some of the peculiar physiological traits of this strain. The genome project provided a large set of informations: putative genes involved in the degradation of aromatic and toxic compounds and associated to stress response were identified. Notably, multiple chemotactic operons and cheA genes were also found. Deleted mutants in the cheA genes were constructed and their role in motility, chemotaxis and biofilm formation were assessed and compared to those previously attributed to a cheA1 gene in a KF707 mutant constructed by a mini-Tn5 transposon insertion and which was impaired in motility and biofilm development. The results of this present Thesis work, taken together, were interpreted to suggest that in Pseudomonas pseudoalcaligenes KF707 strain, multiple factors are involved in these networks and they might play different roles depending on the environmental conditions. The ability of KF707 strain to produce signal molecules possibly involved in cell-to-cell communication, was also investigated: lack of a lux-like QS system - which is conversely widely present in Gram negative bacteria – keeps open the question about the actual molecular nature of KF707 quorum sensing mechanism.

A multiparental cross population for mapping QTL for relevant agronomic traits in durum wheat (Triticum durum Desf.)

Multiparental cross designs for mapping quantitative trait loci (QTL) in crops are efficient alternatives to conventional biparental experimental populations because they exploit a broader genetic basis and higher mapping resolution. We describe the development and deployment of a multiparental recombinant inbred line (RIL) population in durum wheat (Triticum durum Desf.) obtained by crossing four elite cultivars characterized by different traits of agronomic value. A linkage map spanning 2,663 cM and including 7,594 single nucleotide polymorphisms (SNPs) was produced by genotyping 338 RILs with a wheat-dedicated 90k SNP chip. A cluster file was developed for correct allele calling in the framework of the tetraploid durum wheat genome. Based on phenotypic data collected over four field experiments, a multi-trait quantitative trait loci (QTL) analysis was carried out for 18 traits of agronomic relevance (including yield, yield-components, morpho-physiological and seed quality traits). Across environments, a total of 63 QTL were identified and characterized in terms of the four founder haplotypes. We mapped two QTL for grain yield across environments and 23 QTL for grain yield components. A novel major QTL for number of grain per spikelet/ear was mapped on chr 2A and shown to control up to 39% of phenotypic variance in this cross. Functionally different QTL alleles, in terms of direction and size of genetic effect, were distributed among the four parents. Based on the occurrence of QTL-clusters, we characterized the breeding values (in terms of effects on yield) of most of QTL for heading and maturity as well as yield component and quality QTL. This multiparental RIL population provides the wheat community with a highly informative QTL mapping resource enabling the dissection of the genetic architecture of multiple agronomic relevant traits in durum wheat.