Phylogenetic inference's algorithms

Phylogenetic inference consist in the search of an evolutionary tree to explain the best way possible genealogical relationships of a set of species. Phylogenetic analysis has a large number of applications in areas such as biology, ecology, paleontology, etc. There are several criterias which has been defined in order to infer phylogenies, among which are the maximum parsimony and maximum likelihood. The first one tries to find the phylogenetic tree that minimizes the number of evolutionary steps needed to describe the evolutionary history among species, while the second tries to find the tree that has the highest probability of produce the observed data according to an evolutionary model. The search of a phylogenetic tree can be formulated as a multi-objective optimization problem, which aims to find trees which satisfy simultaneously (and as much as possible) both criteria of parsimony and likelihood. Due to the fact that these criteria are different there won't be a single optimal solution (a single tree), but a set of compromise solutions. The solutions of this set are called "Pareto Optimal". To find this solutions, evolutionary algorithms are being used with success nowadays.This algorithms are a family of techniques, which aren’t exact, inspired by the process of natural selection. They usually find great quality solutions in order to resolve convoluted optimization problems. The way this algorithms works is based on the handling of a set of trial solutions (trees in the phylogeny case) using operators, some of them exchanges information between solutions, simulating DNA crossing, and others apply aleatory modifications, simulating a mutation. The result of this algorithms is an approximation to the set of the “Pareto Optimal” which can be shown in a graph with in order that the expert in the problem (the biologist when we talk about inference) can choose the solution of the commitment which produces the higher interest. In the case of optimization multi-objective applied to phylogenetic inference, there is open source software tool, called MO-Phylogenetics, which is designed for the purpose of resolving inference problems with classic evolutionary algorithms and last generation algorithms. REFERENCES [1] C.A. Coello Coello, G.B. Lamont, D.A. van Veldhuizen. Evolutionary algorithms for solving multi-objective problems. Spring. Agosto 2007 [2] C. Zambrano-Vega, A.J. Nebro, J.F Aldana-Montes. MO-Phylogenetics: a phylogenetic inference software tool with multi-objective evolutionary metaheuristics. Methods in Ecology and Evolution. En prensa. Febrero 2016.

NGS y Metagenómica

The Next Generation Sequencing (NGS) allows to sequence the whole genome of an organism, compared to Maxam and Gilbert and Sanger sequencing that only allow to sequence, hardly, a single gene. Removing the separation of DNA fragments by electrophoresis, and the development of techniques that let the parallelization (analysing simultaneously several DNA fragments) have been crucial for the improvements of this process. The new companies in this ambit, Roche and Illumina, bet for different protocols to achieve these goals. Illumina bets for the sequencing by synthesis (SBS), requiring the library preparation and the use of adapters. Likewise, Illumina has replaced Roche because its lower rate of misincorporation, making it ideal for studies of genetic variability, transcriptomic, epigenomic, and metagenomic, in which this study will focus. However, it is noteworthy that the last progress in sequencing is carried out by the third generation sequencing, using nanotechnology to design small sequencers that sequence the whole genome of an organism quickly and inexpensively. Moreover, they provide more reliable data than current systems because they sequence a single molecule, solving the problem of synchronisation. In this way, PacBio and Nanopore allow a great progress in diagnostic and personalized medicine. Metagenomics provide to make a qualitative and quantitative analysis of the various species present in a sample. The main advantage of this technique is the no necessary isolation and growth of the species, allowing the analysis of nonculturable species. The Illumina protocol studies the variable regions of the 16S rRNA gene, which contains variable and not variables regions providing a phylogenetic classification. Therefore, metagenomics is a topic of interest to know the biodiversity of complex ecosystems and to study the microbiome of patients given the high involvement with certain microbial profiles on the condition of certain metabolic diseases.

Tecnología Nanopore para la secuenciación de DNA

Nanopore-based sequencer will open the path to the fourth-generation DNA sequencing technology. The main differences between this technique and the previous ones are: DNA molecule that will be sequenced does not need a previous amplification step, is not necessary any type of specific label both molecular adaptors, and it has been abolished enzymatic process in the nucleotide sequence identification event. These differences have as result a more economic method since don’t spend the necessary reagents for the previous techniques, furthermore it lets to sequence samples with a low DNA concentration. This technique is based in the use of a membrane with a biologic nanopore inserted in it whereby the molecule to analyze (analyte) it made to pass, this membrane is placed between two reservoirs containing ions, when an external volatage is applied in both sides this lead to an ion current through the nanopore. When an analyte cross the nanopore the ion current is modified, that modification in the amplitude and duration of ion current determine the physical and chemical properties of that analyte. By means of subsequent statistical analyzes it can be determined to what sequence own this ion current blockade patterns. More used nanopores are the biologic ones, although they are working to develop synthetic nanopores. The main biologic nanopores are: α-Hemolysin from Staphylococcus aureus (α-HL), Mycobacterium smegmatis porin A (MspA) and bacteriophage phi29 pore (phi29). Α-HL and MspA have in their narrowest point a diameter similar to nucleotide size, they are functional at high temperature both wide range of pH (2-12) but MspA is able to read four nucleotide at the same time while α- HL just can read one by one. Finally, phi29 present a bigger diameter what let to get information about DNA spatial conformation and their interaction with proteins (Feng et al., 2015). Nowaday Oxford Nanopore Technologies (ONT) is the only company which has developed Nanopore technology; they have two devices available to sequencing (PromethION and MinION). The MinION is a single-use DNA sequencing device with the size of a USB memory with a total of 3000 nanopores that can sequence until 200kb. The PrometheION is big size sequencer that own 48 different cells, what let to sequence different samples at the same time, with a total of 144.000 nanopores and reading of several megabases (https://www.nanoporetech.com/). The high processivity and low cost become this technique in a great option to massive- sequencing.

Microarrays as a functional approach to the transcriptome

Knowing a cell’s transcriptome is a fundamental requisite in order to analyze its response to the environment. Microarrays have supposed a revolution on this field as they are able to yield an overview of gene expression at any environmental condition on a genome-wide scale. This technique consists in the hybridisation of a nucleic acid sample, previously marked, with a probe (which might be made up of cDNA, oligonucleotides or PCR products) anchored to a solid surface (made of glass, plastic, silicon...) giving as a result a dot grid which reveals, after image analysis, which genes are being expressed. Nevertheless, this only can be achieved if information on the species genome has been generated. Different kinds of expression microarrays exist attending to the probe’s nature and the method used in its synthesis. In this poster two of these will be treated: Spotted Microarrays, for which the probe is synthesised prior to its fixation to the array and allow the analysis of two targets simultaneously. They can be easily customized, but lack high reproducibility and sensitivity. Oligonucleotide Microarrays, which are characterized by the direct printing of the probe on the array. In this case the probes consist on, invariably, oligonucleotides that are complementary to a small fraction of the gene it is representing at the microarray. Their application is somewhat restricted. This fact, however, makes them more reproducible. Currently, the approach towards the transcriptome studies from the Next Generation Sequencing technologies offers a large volume of information in a short amount of time needing less previous information on the target organism than that needed by microarrays, but their expensive price limits their use. The versatility of the latter, together with their reduced costs in comparison to other techniques, makes them an interesting resource in applications that may need less complexity.

Evolution of genome sequencing techniques

The quality and the speed for genome sequencing has advanced at the same time that technology boundaries are stretched. This advancement has been divided so far in three generations. The first-generation methods enabled sequencing of clonal DNA populations. The second-generation massively increased throughput by parallelizing many reactions while the third-generation methods allow direct sequencing of single DNA molecules. The first techniques to sequence DNA were not developed until the mid-1970s, when two distinct sequencing methods were developed almost simultaneously, one by Alan Maxam and Walter Gilbert, and the other one by Frederick Sanger. The first one is a chemical method to cleave DNA at specific points and the second one uses ddNTPs, which synthesizes a copy from the DNA chain template. Nevertheless, both methods generate fragments of varying lengths that are further electrophoresed. Moreover, it is important to say that until the 1990s, the sequencing of DNA was relatively expensive and it was seen as a long process. Besides, using radiolabeled nucleotides also compounded the problem through safety concerns and prevented the automation. Some advancements within the first generation include the replacement of radioactive labels by fluorescent labeled ddNTPs and cycle sequencing with thermostable DNA polymerase, which allows automation and signal amplification, making the process cheaper, safer and faster. Another method is Pyrosequencing, which is based on the “sequencing by synthesis” principle. It differs from Sanger sequencing, in that it relies on the detection of pyrophosphate release on nucleotide incorporation. By the end of the last millennia, parallelization of this method started the Next Generation Sequencing (NGS) with 454 as the first of many methods that can process multiple samples, calling it the 2º generation sequencing. Here electrophoresis was completely eliminated. One of the methods that is sometimes used is SOLiD, based on sequencing by ligation of fluorescently dye-labeled di-base probes which competes to ligate to the sequencing primer. Specificity of the di-base probe is achieved by interrogating every 1st and 2nd base in each ligation reaction. The widely used Solexa/Illumina method uses modified dNTPs containing so called “reversible terminators” which blocks further polymerization. The terminator also contains a fluorescent label, which can be detected by a camera. Now, the previous step towards the third generation was in charge of Ion Torrent, who developed a technique that is based in a method of “sequencing-by-synthesis”. Its main feature is the detection of hydrogen ions that are released during base incorporation. Likewise, the third generation takes into account nanotechnology advancements for the processing of unique DNA molecules to a real time synthesis sequencing system like PacBio; and finally, the NANOPORE, projected since 1995, also uses Nano-sensors forming channels obtained from bacteria that conducts the sample to a sensor that allows the detection of each nucleotide residue in the DNA strand. The advancements in terms of technology that we have nowadays have been so quick, that it makes wonder: ¿How do we imagine the next generation?

Hibridación in situ fluorescente (FISH)

Background: At the end of 80s, cloning technologies with the increase of the antibodies’ sensibility made easier the development of technologies based on Fluorescence in situ Hibridation (FISH). Nowadays, It’s widely used in the field of basic investigation as much as clinic diagnostic. Method: FISH is a technique that combines molecular biology with histochemistry way to detect specific nucleotide sequences so that chromosome’s section or even whole chromosome can be marked on metaphases cells (cell in division) and on attached cellular nucleus. This detection is realized using DNA fluorescence probes (marked with fluorophores), that can be different according to the structures manage to detect: large single-locus probes, small unique-sequence probes, chromosome- or region-specific “paints” or repetitive sequence probes and genomic DNA probes. Some of the applications of this technique is that can be so useful in the detection of numerical and structural chromosomal alterations such as polyploidies or genomic rearrangement, to mapping metaphases cells and even to detect bacteria or another type of microorganism. In addition, FISH allows us to monitoring diseases (antitumor therapies, quantification of genomic altered cells…) and the precise location of chromosomic broken spots on tumor searching for new genes involved in cancer and detect and map interested known genes. Conclusion: FISH has many advantages ahead of conventional cytogenetic techniques (bands G karyotype) overall at the time of establish a clinic diagnostic to detect tumors and chromosomic aberration, presenting a higher sensibility and specificity as well as being a relative quick technique (24 hours).

Quantum Dots

The purpose of this communication is to make a bibliographic review of Quantum Dots methods and their applications in the field of Biotechnology. Quantum dots (QDs) are a novel class of inorganic fluorophores, which are gaining widespread recognition as a result of their exceptional photophysical properties.

Multi-­‐dimensional Protein Identification Technology

Before the rise of the Multidimentional Protein Identification Technology (MudPIT), protein and peptide mixtures were resolved using traditional proteomic technologies like the gel-­‐ based 2D chromatography that separates proteins by isoelectric point and molecular weight. This technique was tedious and limited, since the characterization of single proteins required isolation of protein gel spots, their subsequent proteolyzation and analysis using Matrix-­‐ assisted laser desorption/ionization-­‐time of flight (MALDI-­‐TOF) mass spectrometry.

Selected Reaction Monitoring (SRM) frente a Western Blot

We propose the SRM technology as a complementary method to the Western Blot for the detection and quantification of proteins in a sample. The technique Western Blot has its own limitations: i) only a protein-of-choice is detected, ignoring any non-relevant proteins, ii) the sensitivity of the technique depends on the specificity of the antibody and iii) Western Blot is expensive and time-consuming. The advantages of SRM with respect Western Blot are remarkable: i) you can detect up to hundreds of different proteins in a sample, ii) SRM is more sensitive, because just 50 copies of the target protein per cell are enough for the detection and iii) once it has been made an investment in the necessary machinery to develop this technique, the detection of proteins in a sample turns into a cheaper, faster, more specific and full-quantitative procedure, without the need of using antibodies. First of all, SRM requires the identification of little peptides, obtained by tryptic digestion, whose sequence must be unique for a single protein or isoform. There is software for that aim. Then, it’s necessary to create isotope-labeled peptides of that identified for acting as internal standards. That sample is introduced in a triple quadrupole mass spectrometer: it passes through a first quadrupole, which functions as a filter, where the fragments are selected, previously ionized, attending to the mass/charge (m/z) relation that correspond to that unique fragments of the protein of interest. In this first selection may be other peptides from other proteins, with the same m/z but with different sequence. To select those that are exclusive from the target protein, the fragments are moved to a second quadrupole, where they are fragmented again with a physical method, and so new smaller fragments are generated. All the new fragments are conduced to the third quadrupole, where just those which come from the protein of interest are selected, attending at their m/z again. The target peptide concentration is determined by measuring the observed signal response for the target peptide relative to that of the isotopic-labeled peptide, the concentration of which is calculated from a pre-determined calibration-response curve. Calibration curves have to be generated for each target peptide in the sample. Because SRM technology is increasing its use, there have been developed databases where the scientific community upload information about protocols and standards for each protein with the aim to facilitate the work to other researchers.

A bacterial acetyltransferase targets the protein kinase ZIP1, a positive regulator of plant immunity

Pseudomonas syringae is a model bacterial pathogen that penetrates the leaf to reach the plant apoplast, where it replicates causing disease. In order to do that, the pathogen must interfere and suppress a two-tiered plant defense response: PTI (PAMP-Triggered Immunity, or basal resistance) and ETI (Effector-Triggered Immunity). P. syringae uses a type III secretion system to directly deliver effector proteins inside the plant cell cytosol, many of which are known to suppress PTI, some of which are known to trigger ETI, and a handful of which are known to suppress ETI. Bacterial infection can also trigger a systemic plant defense response that protects the plant against additional pathogen attacks known as SAR (Systemic Acquired Resistance). We are particularly interested in the molecular and cellular mechanisms involved in effector-mediated defense evasion by P. syringae, in particular those involved in the suppression of ETI and SAR, and/or mediation of hormone signaling. Here we present data describing effector-mediated interference with plant immunity, by means of acetylation of a key positive regulator of local and systemic responses. Our work identifies a novel plant target for effector function, and characterizes its function. This work illustrates how analyzing the means by which a given effector interferes with its target can provide novel information regarding eukaryotic molecular mechanisms.

PAMP-triggered immunity against Pseudomonas syringae involves microRNA-mediated regulation of several uncharacterized R genes

Two main types of noncoding small RNA molecules have been found in plants: microRNAs (miRNAs) and small interfering RNAs (siRNAs). They differ in their biogenesis and mode of action, but share similar sizes (20-24 nt). Their precursors are processed by Dicer-Like RNase III (dcl) proteins present in Arabidopsis thaliana, and in their mature form can act as negative regulators of gene expression, being involved in a vast array of plant processes, including plant development, genomic integrity or response to stress. Small-RNA mediated regulation can occurs at transcriptional level (TGS) or at post-transcriptional level (PTGS). In recent years, the role of gene silencing in the regulation of expression of genes related to plant defence responses against bacterial pathogens is becoming clearer. Comparisons carried out in our lab between the expression profiles of different mutants affected in gene silencing, and plants challenged with Pseudomonas syringae pathovar tomato DC3000, led us to identify a set of uncharacterized R genes, belonging to the TIR-NBS-LRR gene family, differentially expressed in these conditions. Through the use of bioinformatics tools, we found a miRNA* of 22 nt putatively responsible for down-regulating expression of these R genes through the generation of siRNAs. We have also found that the corresponding pri-miRNA is down-regulated after PAMP-perception in a SA-dependent manner. We also demonstrate that plants with altered levels of miRNA* (knockdown lines or overexpression lines) exhibit altered PTI-associated phenotypes, suggesting a role for this miRNA* in this defence response against bacteria. In addition we identify one of the target genes as a negative regulator of defence response against Pseudomonas syringae.

Posibles funciones de la familia génica de la glutamato descarboxilasa en Populus

Aunque hace más de 50 años que se describió que la glutamato descarboxilasa (GAD) lleva a cabo la descarboxilación del glutamato para producir GABA, y en animales ha sido muy estudiada debido al papel del GABA como neurotransmisor, la información disponible sobre las GADs de plantas es aún limitada, conociéndose sólo algunos aspectos de la regulación por calcio de su actividad enzimática o de expresión de algunos de los genes de su familia génica. El GABA es un metabolito que tradicionalmente se ha asociado a estrés, pero su papel en plantas todavía no está claro. En las últimas dos décadas los resultados experimentales obtenidos sobre la GAD y el GABA, destacando las alteraciones fenotípicas mostradas por plantas tratadas con GABA y por plantas transgénicas para GAD, han generado preguntas interesantes sobre el posible papel de este metabolito y la enzima en señalización en plantas. En plantas, son varios los papeles que se han propuesto para el metabolismo del GABA tales como su participación como componente del metabolismo del carbono y del nitrógeno (Fait y col., 2008), protección frente especies reactivas de oxigeno (Liu y col., 2011), regulación de la expresión génica incluyendo la regulación de genes implicados en la síntesis de hormonas (Khatiresan y col., 1997; Shi y col., 2010; Lancien y Roberts, 2006) y señalización a larga distancia (Beuve y col., 2004) y en gradiente guiando el crecimiento del tubo polínico (Palanivelu y col., 2013). Nuestro grupo de investigación ha sugerido un papel novedoso para la producción de GABA durante la xilogénesis en pino (Molina-Rueda y col., 2010, 2015). En base a estos antecedentes, los objetivos planteados para este trabajo han sido: la asignación de posibles funciones a las GADs de Populus en condiciones normales de crecimiento y en estrés abióticos, estudiar la adquisición del dominio de unión a calmodulina (CaMBD) de las GADs de plantas vasculares y analizar el efecto del GABA y del glutamato en las raíces de Populus. Las conclusiones que se derivan de los resultados de este trabajo se detallan a continuación. El dominio de unión a calmodulina de la GAD de plantas esta conservado en GADs de plantas consideradas ancestros de plantas vasculares y ausente en plantas no vasculares, lo que sitúa juntos en la evolución los eventos de adquisición del dominio de unión a CaM y el desarrollo del tejido vascular de plantas. Los resultados similares de la localización de GABA en xilema y una expresión GAD asociada a la formación de madera de reacción tanto en pino como en chopo apuntan a un papel relevante de la producción de GABA durante la xilogénesis en leñosas. La familia génica GAD posee seis genes codificando todos ellos para proteínas aparentemente funcionales y susceptibles de ser reguladas por calcio. Esta familia génica ha sufrido duplicaciones y eventos de especialización durante la evolución de Populus. Este trabajo ha posibilitado la asociación entre papeles específicos y los diferentes genes de esta familia. Beuvé N, Rispail N, Laine P, Cliquet J-B, Ourry A, Deunff F (2004) Putative role of Υ-aminobutyric acid as a long-distance signal in up-regulation of nitrate uptake in Brassica napus L. Plant Cell Environ. 27: 1035-1046 Fait A, Fromm H, Walter D, Galili G, Fernie AR (2008) Highway or byway: the metabolic role of the GABA shunt in plants. Trends in plant science 13: 14-19 Kathiresan A, Tung P, Chinnappa CC, Reid DM (1997) gamma-Aminobutyric acid stimulates ethylene biosynthesis in sunflower. Plant Physiol. 115: 129-135 Lancien M, Roberts MR (2006) Regulation of Arabidopsis thaliana 14-3-3 gene expression by ϒ-aminobutyric acid. Plant Cell Environ. 29: 1430-1436 Liu C, Zhao L, Yu G (2011) The dominant glutamic acid metabolic flux to produce gamma-amino butyric acid over proline in Nicotiana tabacum leaves under water stress relates to its significant role in antioxidant activity. Journal of integrative plant biology 53: 608-618 Molina-Rueda JJ, Pascual MB, Canovas FM, Gallardo F (2010) Characterization and developmental expression of a glutamate decarboxylase from maritime pine. Planta 232: 1471-1483 Molina-Rueda, J.J. y col., 2015. A putative role for γ-aminobutyric acid (GABA) in vascular development in pine seedlings. Planta 241: 257-267 Palanivelu R, Brass L, Edlund AF, D P (2003) Pollen tube growth and guidance is regulated by POP2, an Arabidopsis gene that controls GABA levels. Cell 114: 47-59 Shi SQ, Shi Z, Jiang ZP, Qi LW, Sun XM, Li CX, Liu JF, Xiao WF, Zhang SG (2010) Effects of exogenous GABA on gene expression of Caragana intermedia roots under NaCl stress: regulatory roles for H2O2 and ethylene production. Plant, cell & environment 33: 149-162

Estudio de márgenes tras tumorectomía seguida de radiofrecuencia en cirugía conservadora del cáncer de mama

Introducción: La cirugía conservadora constituye hoy el tratamiento estándar en el ca. mama. La recurrencia local debe evitarse en la medida de lo posible, en tanto en cuanto condiciona un mayor estrés para la paciente, la obligatoriedad de tratamientos más agresivos, y una disminución de la supervivencia. Para ello, la obtención de márgenes libres es un factor clave. Pese a todos los esfuerzos por obtener dichos márgenes libres en un único acto quirúrgico, sigue existiendo una alta tasa de reintervenciones para su obtención. La ARF es un procedimiento aún en investigación sobre la que existen pocos datos relativos a los detalles de la técnica y su reproductibilidad, así como su eficacia en la obtención de márgenes libres y menos aún sobre persistencia de enfermedad, recurrencia local y repercusión sobre la supervivencia, para lo que se necesitaran estudios con amplios grupos de pacientes y tiempo de seguimiento. Nosotros nos proponemos aportar datos relativos a la ARF, centrados en un protocolo de la técnica de aplicación de la ARF, valoración de la utilidad de la ARF en la obtención de margen libres y repercusión de la ARF sobre las complicaciones y el resultado estético. Material y métodos: Estudio longitudinal de una cohorte prospectiva a las que se le realiza cirugía conservadora seguida de radiofrecuencia, y una cohorte retrospectiva a las que se le realiza cirugía conservadora sin aplicación de radiofrecuencia. Análisis descriptivo de los resultados y comparativo del grupo a estudio respecto a grupo control. Resultados: Se ha realizado ARF a un total de 14 pacientes, con el empleo de un terminal de electrodo simple, lo que aporta gran versatilidad y reproducibilidad a la técnica, y obteniendo un 100% de márgenes libres. Se ha registrado una reintervención por microcalcificaciones evidenciadas en mamografía de control. No se han registrado complicaciones específicas de la técnica. Se han obtenido un total de 92,8% de resultados buenos ó excelentes. En el análisis comparativo, no se han encontrado diferencias estadísticamente significativas respecto a tasa de reintervenciones, resultados cosméticos ó complicaciones. Conclusiones: 1. La ARF ha demostrado en el grupo de estudio una eficacia del 100% en relación con negatividad o no viabilidad de células tumores en todos los márgenes extirpados. 2. La ARF contribuye a aumentar el margen quirúrgico oncológico de seguridad en cirugía conservadora del cáncer de mama, hecho de especial interés en subgupos de mayor riesgo de recurrencia local. 3. La ARF ha demostrado ser una técnica segura con una tasa de complicaciones generales similares al tratamiento estándar, no existiendo en nuestra serie ninguna complicación específica atribuible a la técnica. 4. La elección del terminal con electrodo simple nos permite mayor versatilidad, adaptando el procedimiento y técnica quirúrgica según el tamaño de la lesión para conseguir el efecto deseado. 5. Asimismo la utilización del terminal con electrodo simple nos permite ampliar indicaciones de la ARF al poder incluir lesiones cercanas a piel y pectoral sin riesgo de quemaduras. 6. La aplicación de radiofrecuencia en márgenes y su exéresis no ha afectado el resultado cosmético.

Transcriptional regulation os phenylalaline biosynthesis and utilization

Conifer trees divert large quantities of carbon into the biosynthesis of phenylpropanoids, particularly to generate lignin, an important constituent of wood. Since phenylalanine is the precursor for phenylpropanoid biosynthesis, the precise regulation of phenylalanine synthesis and utilization should occur simultaneously. This crucial pathway is finely regulated primarily at the transcriptional level. Transcriptome analyses indicate that the transcription factors (TFs) preferentially expressed during wood formation in plants belong to the MYB and NAC families. Craven-Bartle et al. (2013) have shown in conifers that Myb8 is a candidate regulator of key genes in phenylalanine biosynthesis involved in the supply of the phenylpropane carbon skeleton necessary for lignin biosynthesis. This TF is able to bind AC elements present in the promoter regions of these genes to activate transcription. Constitutive overexpression of Myb8 in white spruce increased secondary-wall thickening and led to ectopic lignin deposition (Bomal et al. 2008). In Arabidopsis, the transcriptional network controlling secondary cell wall involves NAC-domain regulators operating upstream Myb transcription factors. Functional orthologues of members of this network described have been identified in poplar and eucalyptus, but in conifers functional evidence had only been obtained for MYBs. We have identified in the P. pinaster genome 37 genes encoding NAC proteins, which 3 NAC proteins could be potential candidates to be involved in vascular development (Pascual et al. 2015). The understanding of the transcriptional regulatory network associated to phenylpropanoids and lignin biosynthesis in conifers is crucial for future applications in tree improvement and sustainable forest management. This work is supported by the projects BIO2012-33797, BIO2015-69285-R and BIO-474 References: Bomal C, et al. (2008) Involvement of Pinus taeda MYB1 and MYB8 in phenylpropanoid metabolism and secondary cell wall biogenesis: a comparative in planta analysis. J Exp Bot. 59: 3925-3939. Craven-Bartle B, et al. (2013) A Myb transcription factor regulates genes of the phenylalanine pathway in maritime pine. Plant J, 74: 755-766. Pascual MB, et al. (2015) The NAC transcription factor family in maritime pine (Pinus pinaster): molecular regulation of two genes involved in stress responses. BMC Plant Biol, 15: 254.

QTLs mapping for primary metabolites responsible of the organoleptic and nutritional characteristics of strawberry (Fragaria x ananassa)

The cultivated strawberry (Fragaria x ananassa) is the berry fruit most consumed worldwide and is well-known for its delicate flavour and nutritional properties. However, fruit quality attributes have been lost or reduced after years of traditional breeding focusing mainly on agronomical traits. To face the obstacles encountered in the improvement of cultivated crops, new technological tools, such as genomics and high throughput metabolomics, are becoming essential for the identification of genetic factors responsible of organoleptic and nutritive traits. Integration of “omics” data will allow a better understanding of the molecular and genetic mechanisms underlying the accumulation of metabolites involved in the flavour and nutritional value of the fruit. To identify genetic components affecting/controlling? fruit metabolic composition, here we present a quantitative trait loci (QTL) analysis using a 95 F1 segregating population derived from genotypes ‘1392’, selected for its superior flavour, and ‘232’ selected based in high yield (Zorrilla-Fontanesi et al., 2011; Zorrilla-Fontanesi et al., 2012). Metabolite profiling was performed on red stage strawberry fruits using gas chromatography hyphenated to time-of-flight mass spectrometry, which is a rapid and highly sensitive approach, allowing a good coverage of the central pathways of primary metabolism. Around 50 primary metabolites, including sugars, sugars derivatives, amino and organic acids, were detected and quantified after analysis in each individual of the population. QTL mapping was performed on the ‘232’ x ‘1392’ population separately over two successive years, based on the integrated linkage map (Sánchez-Sevilla et al., 2015). First, significant associations between metabolite content and molecular markers were identified by the non-parametric test of Kruskal-Wallis. Then, interval mapping (IM), as well as the multiple QTL method (MQM) allowed the identification of QTLs in octoploid strawberry. A permutation test established LOD thresholds for each metabolite and year. A total of 132 QTLs were detected in all the linkage groups over the two years for 42 metabolites out of 50. Among them, 4 (9.8%) QTLs for sugars, 9 (25%) for acids and 7 (12.7%) for amino acids were stable and detected in the two successive years. We are now studying the QTLs regions in order to find candidate genes to explain differences in metabolite content in the different individuals of the population, and we expect to identify associations between genes and metabolites which will help us to understand their role in quality traits of strawberry fruit.