Metabolomics demonstrates divergent responses of two Eucalyptus species to water stress

Past studies of water stress in Eucalyptus spp. generally highlighted the role of fewer than five “important” metabolites, whereas recent metabolomic studies on other genera have shown tens of compounds are affected. There are currently no metabolite profiling data for responses of stress-tolerant species to water stress. We used GC–MS metabolite profiling to examine the response of leaf metabolites to a long (2 month) and severe (Ψpredawn < −2 MPa) water stress in two species of the perennial tree genus Eucalyptus (the mesic Eucalyptus pauciflora and the semi-arid Eucalyptus dumosa). Polar metabolites in leaves were analysed by GC–MS and inorganic ions by capillary electrophoresis. Pressure–volume curves and metabolite measurements showed that water stress led to more negative osmotic potential and increased total osmotically active solutes in leaves of both species. Water stress affected around 30–40% of measured metabolites in E. dumosa and 10–15% in E. pauciflora. There were many metabolites that were affected in E. dumosa but not E. pauciflora, and some that had opposite responses in the two species. For example, in E. dumosa there were increases in five acyclic sugar alcohols and four low-abundance carbohydrates that were unaffected by water stress in E. pauciflora. Re-watering increased osmotic potential and decreased total osmotically active solutes in E. pauciflora, whereas in E. dumosa re-watering led to further decreases in osmotic potential and increases in total osmotically active solutes. This experiment has added several extra dimensions to previous targeted analyses of water stress responses in Eucalyptus, and highlights that even species that are closely related (e.g. congeners) may respond differently to water stress and re-watering

Estudio molecular de gluteninas de alto y bajo peso molecular en Triticum aestivum ssp. vulgare L. y su relación con la calidad panadera

El trigo blando (Triticum aestivum ssp vulgare L., AABBDD, 2n=6x=42) presenta propiedades viscoélasticas únicas debidas a la presencia en la harina de las prolaminas: gluteninas y gliadinas. Ambos tipos de proteínas forman parte de la red de gluten. Basándose en la movilidad en SDS-PAGE, las gluteninas se clasifican en dos grupos: gluteninas de alto peso molecular (HMW-GS) y gluteninas de bajo peso molecular (LMW-GS). Los genes que codifican para las HMW-GS se encuentran en tres loci del grupo 1 de cromosomas: Glu-A1, Glu-B1 y Glu-D1. Cada locus codifica para uno o dos polipéptidos o subunidades. La variación alélica de las HMW-GS es el principal determinante de de la calidad harino-panadera y ha sido ampliamente estudiado tanto a nivel de proteína como de ADN. El conocimiento de estas proteínas ha contribuido sustancialmente al progreso de los programas de mejora para la calidad del trigo. Comparadas con las HMW-GS, las LMW-GS forman una familia proteica mucho más compleja. La mayoría de los genes LMW se localizan en el grupo 1 de cromosomas en tres loci: Glu-A3, Glu-B3 y Glu-D3 que se encuentran estrechamente ligados a los loci que codifican para gliadinas. El número de copias de estos genes ha sido estimado entre 10-40 en trigo hexaploide, pero el número exacto aún se desconoce debido a la ausencia de un método eficiente para diferenciar los miembros de esta familia multigénica. La nomenclatura de los alelos LMW-GS por electroforesis convencional es complicada, y diferentes autores asignan distintos alelos a la misma variedad lo que dificulta aún más el estudio de esta compleja familia. El uso de marcadores moleculares para la discriminación de genes LMW, aunque es una tarea dificil, puede ser muy útil para los programas de mejora. El objetivo de este trabajo ha sido profundizar en la relación entre las gluteninas y la calidad panadera y desarrollar marcadores moleculares que permitan ayudar en la correcta clasificación de HMW-GS y LMW-GS. Se han obtenido dos poblaciones de líneas avanzadas F4:6 a partir de los cruzamientos entre las variedades ‘Tigre’ x ‘Gazul’ y ‘Fiel’ x ‘Taber’, seleccionándose para los análisis de calidad las líneas homogéneas para HMW-GS, LMW-GS y gliadinas. La determinación alélica de HMW-GS se llevó a cabo por SDS-PAGE, y se complementó con análisis moleculares, desarrollándose un nuevo marcador de PCR para diferenciar entre las subunidades Bx7 y Bx7*del locus Glu-B1. Resumen 2 La determinación alélica para LMW-GS se llevó a cabo mediante SDS-PAGE siguiendo distintas nomenclaturas y utilizando variedades testigo para cada alelo. El resultado no fue concluyente para el locus Glu-B3, así que se recurrió a marcadores moleculares. El ADN de los parentales y de los testigos se amplificó usando cebadores diseñados en regiones conservadas de los genes LMW y fue posteriormente analizado mediante electroforesis capilar. Los patrones de amplificación obtenidos fueron comparados entre las distintas muestras y permitieron establecer una relación con los alelos de LMW-GS. Con este método se pudo aclarar la determinación alélica de este locus para los cuatro parentales La calidad de la harina fue testada mediante porcentaje de contenido en proteína, prueba de sedimentación (SDSS) y alveógrafo de Chopin (parámetros P, L, P/L y W). Los valores fueron analizados en relación a la composición en gluteninas. Las líneas del cruzamiento ‘Fiel’ x ‘Taber’ mostraron una clara influencia del locus Glu-A3 en la variación de los valores de SDSS. Las líneas que llevaban el nuevo alelo Glu-A3b’ presentaron valores significativamente mayores que los de las líneas con el alelo Glu-A3f. En las líneas procedentes del cruzamiento ‘Tigre ’x ‘Gazul’, los loci Glu-B1 y Glu-B3 loci mostraron ambos influencia en los parámetros de calidad. Los resultados indicaron que: para los valores de SDSS y P, las líneas con las HMW-GS Bx7OE+By8 fueron significativamente mejores que las líneas con Bx17+By18; y las líneas que llevaban el alelo Glu-B3ac presentaban valores de P significativamente superiores que las líneas con el alelo Glu-B3ad y significativamente menores para los valores de L . El análisis de los valores de calidad en relación a los fragmentos LMW amplificados, reveló un efecto significativo entre dos fragmentos (2-616 y 2-636) con los valores de P. La presencia del fragmento 2-636 estaba asociada a valores de P mayores. Estos fragmentos fueron clonados y secuenciados, confirmándose que correspondían a genes del locus Glu-B3. El estudio de la secuencia reveló que la diferencia entre ambos se hallaba en algunos SNPs y en una deleción de 21 nucleótidos que en la proteína correspondería a un InDel de un heptapéptido en la región repetida de la proteína. En este trabajo, la utilización de líneas que difieren en el locus Glu-B3 ha permitido el análisis de la influencia de este locus (el peor caracterizado hasta la fecha) en la calidad panadera. Además, se ha validado el uso de marcadores moleculares en la determinación alélica de las LMW-GS y su relación con la calidad panadera. Summary 3 Bread wheat (Triticum aestivum ssp vulgare L., AABBDD, 2n=6x=42) flour has unique dough viscoelastic properties conferred by prolamins: glutenins and gliadins. Both types of proteins are cross-linked to form gluten polymers. On the basis of their mobility in SDS-PAGE, glutenins can be classified in two groups: high molecular weight glutenins (HMW-GS) and low molecular weight glutenins (LMW-GS). Genes encoding HMW-GS are located on group 1 chromosomes in three loci: Glu-A1, Glu-B1 and Glu-D1, each one encoding two polypeptides, named subunits. Allelic variation of HMW-GS is the most important determinant for bread making quality, and has been exhaustively studied at protein and DNA level. The knowledge of these proteins has substantially contributed to genetic improvement of bread quality in breeding programs. Compared to HMW-GS, LMW-GS are a much more complex family. Most genes encoded LMW-GS are located on group 1 chromosomes. Glu-A3, Glu-B3 and Glu-D3 loci are closely linked to the gliadin loci. The total gene copy number has been estimated to vary from 10–40 in hexaploid wheat. However, the exact copy number of LMW-GS genes is still unknown, mostly due to lack of efficient methods to distinguish members of this multigene family. Nomenclature of LMW-GS alleles is also unclear, and different authors can assign different alleles to the same variety increasing confusion in the study of this complex family. The use of molecular markers for the discrimination of LMW-GS genes might be very useful in breeding programs, but their wide application is not easy. The objective of this work is to gain insight into the relationship between glutenins and bread quality, and the developing of molecular markers that help in the allele classification of HMW-GS and LMW-GS. Two populations of advanced lines F4:6 were obtained from the cross ‘Tigre’ x ‘Gazul’ and ‘Fiel’ x ‘Taber’. Lines homogeneous for HMW-GS, LMW-GS and gliadins pattern were selected for quality analysis. The allele classification of HMW-GS was performed by SDS-PAGE, and then complemented by PCR analysis. A new PCR marker was developed to undoubtedly differentiate between two similar subunits from Glu-B1 locus, Bx7 and Bx7*. The allele classification of LMW-GS was initially performed by SDS-PAGE following different established nomenclatures and using standard varieties. The results were not completely concluding for Glu-B3 locus, so a molecular marker system was applied. DNA from parental lines and standard varieties was amplified using primers designed in conserved domains of LMW genes and analyzed by capillary electrophoresis. The pattern of amplification products obtained was compared among samples and related to the protein allele classification. It was possible to establish a correspondence between specific amplification products and almost all LMW alleles analyzed. With this method, the allele classification of the four parental lines was clarified. Flour quality of F4:6 advanced lines were tested by protein content, sedimentation test (SDSS) and alveograph (P, L, P/L and W). The values were analyzed in relation to the lines prolamin composition. In the ‘Fiel’ x ‘Taber’ population, Glu-A3 locus showed an influence in SDSS values. Lines carrying new allele Glu-A3b’, presented a significantly higher SDSS value than lines with Glu-A3f allele. In the ‘Tigre ’x ‘Gazul’ population, the Glu-B1 and Glu-B3 loci also showed an effect in quality parameters, in SDSS, and P and L values. Results indicated that: for SDSS and P, lines with Bx7OE+By8 were significantly better than lines with Bx17+By18; lines carrying Glu-B3ac allele had a significantly higher P values than Glu-B3ad allele values. lines with and lower L The analysis of quality parameters and amplified LMW fragments revealed a significant influence of two peaks (2-616 y 2-636) in P values. The presence of 2-636 peak gave higher P values than 2-616. These fragments had been cloned and sequenced and identified as Glu-B3 genes. The sequence analysis revealed that the molecular difference between them was some SNPs and a small deletion of 21 nucleotides that in the protein would produce an InDel of a heptapeptide in the repetitive region. In this work, the analysis of two crosses with differences in Glu-3 composition has made possible to study the influence of LMG-GS in quality parameters. Specifically, the influence of Glu-B3, the most interesting and less studied loci has been possible. The results have shown that Glu-B3 allele composition influences the alveograph parameter P (tenacity). The existence of different molecular variants of Glu-B3 alleles have been assessed by using a molecular marker method. This work supports the use of molecular approaches in the study of the very complex LMW-GS family, and validates their application in the analysis of advanced recombinant lines for quality studies.

Molecular characterization of Glu-B3 locus in wheat cultivars and segregating populations

Bread wheat quality constitutes a key trait for the demands of the baking industry as well as the broad consumer preferences. The role of the low molecular weight glutenin subunits (LMW-GS) with regard to bread quality is so far not well understood owing to their genetic complexity and to the use of different nomenclatures and standards for the LMW-GS assignment by different research groups, which has made difficult the undertaking of association studies between genotypes and bread quality. The development of molecular markers to carry out genetic characterization and allele determination is demanding. Nowadays, the most promising LMW gene marker system is based on PCR and high resolution capillary electrophoresis for the simultaneous analysis of the complete multigene family. The molecular analysis of the bread wheat Glu-B3 locus in F2 and F4:6 populations expressed the expected one-locus Mendelian segregation pattern, thus validating the suitability of this marker system for the characterization of LMW-GS genes in segregating populations, allowing for the successful undertaking of studies related to bread-making quality. Moreover, the Glu-B3 allele characterization of standard cultivars with the molecular marker system has revealed its potential as a complementary tool for the allelic determination of this complex multigene family.

Technical note: Comparison of automated ribosomal intergenic spacer analysis (ARISA) and denaturing gradient gel electrophoresis (DGGE) to assess bacterial diversity in the rumen of sheep

The aim of this study was to compare automated ribosomal intergenic spacer analysis (ARISA) and denaturing gradient gel electrophoresis (DGGE) techniques to assess bacterial diversity in the rumen of sheep. Sheep were fed 2 diets with 70% of either alfalfa hay or grass hay, and the solid (SOL) and liquid (LIQ) phases of the rumen were sampled immediately before feeding (0 h) and at 4 and 8 h postfeeding. Both techniques detected similar differences between forages, with alfalfa hay promoting greater (P < 0.05) bacterial diversity than grass hay. In contrast, whereas ARISA analysis showed a decrease (P < 0.05) of bacterial diversity in SOL at 4 h postfeeding compared with 0 and 8 h samplings, no variations (P > 0.05) over the postfeeding period were detected by DGGE. The ARISA technique showed lower (P < 0.05) bacterial diversity in SOL than in LIQ samples at 4 h postfeeding, but no differences (P > 0.05) in bacterial diversity between both rumen phases were detected by DGGE. Under the conditions of this study, the DGGE was not sensitive enough to detect some changes in ruminal bacterial communities, and therefore ARISA was considered more accurate for assessing bacterial diversity of ruminal samples. The results highlight the influence of the fingerprinting technique used to draw conclusions on factors affecting ruminal bacterial diversity.

Disjoining pressure and the film-height-dependent surface tension of thin liquid films: New insight from capillary wave fluctuations

In this paper we review simulation and experimental studies of thermal capillary wave fluctuations as an ideal means for probing the underlying disjoining pressure and surface tensions, and more generally, fine details of the Interfacial Hamiltonian Model. We discuss recent simulation results that reveal a film-height-dependent surface tension not accounted for in the classical Interfacial Hamiltonian Model. We show how this observation may be explained bottom-up from sound principles of statistical thermodynamics and discuss some of its implications