100 research outputs found

    Strigolactone biosynthesis and signaling in plant development.

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    Strigolactones (SLs), first identified for their role in parasitic and symbiotic interactions in the rhizosphere, constitute the most recently discovered group of plant hormones. They are best known for their role in shoot branching but, more recently, roles for SLs in other aspects of plant development have emerged. In the last five years, insights into the SL biosynthetic pathway have also been revealed and several key components of the SL signaling pathway have been identified. Here, and in the accompanying poster, we summarize our current understanding of the SL pathway and discuss how this pathway regulates plant development

    The pea branching RMS2 gene encodes the PsAFB4/5 auxin receptor and is involved in an auxin-strigolactone regulation loop

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    Strigolactones (SLs) are well known for their role in repressing shoot branching. In pea, increased transcript levels of SL biosynthesis genes are observed in stems of highly branched SL deficient (ramosus1 (rms1) and rms5) and SL response (rms3 and rms4) mutants indicative of negative feedback control. In contrast, the highly branched rms2 mutant has reduced transcript levels of SL biosynthesis genes. Grafting studies and hormone quantification led to a model where RMS2 mediates a shoot-to-root feedback signal that regulates both SL biosynthesis gene transcript levels and xylem sap levels of cytokinin exported from roots. Here we cloned RMS2 using synteny with Medicago truncatula and demonstrated that it encodes a putative auxin receptor of the AFB4/5 clade. Phenotypes similar to rms2 were found in Arabidopsis afb4/5 mutants, including increased shoot branching, low expression of SL biosynthesis genes and high auxin levels in stems. Moreover, afb4/5 and rms2 display a specific resistance to the herbicide picloram. Yeast-two-hybrid experiments supported the hypothesis that the RMS2 protein functions as an auxin receptor. SL root feeding using hydroponics repressed auxin levels in stems and down-regulated transcript levels of auxin biosynthesis genes within one hour. This auxin down-regulation was also observed in plants treated with the polar auxin transport inhibitor NPA. Together these data suggest a homeostatic feedback loop in which auxin up-regulates SL synthesis in an RMS2-dependent manner and SL down-regulates auxin synthesis in an RMS3 and RMS4- dependent manner

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∌99% of the euchromatic genome and is accurate to an error rate of ∌1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    The James Webb Space Telescope Mission

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    Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least 4m4m. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the 6.5m6.5m James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit.Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figure

    Strigolactones, a novel class of plant hormone controlling shoot branching

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    For several decades, auxin and cytokinin were the only two hormones known to be involved in the control of shoot branching through apical dominance, a process where the shoot apex producing auxin inhibits the outgrowth of axillary buds located below. Grafting studies with high branching mutants and cloning of the mutated genes demonstrated the existence of a novel long distance carotenoid derived signal which acted as a branching inhibitor. Recently, this branching inhibitor has been shown to belong to the strigolactones, a group of small molecules already known to be produced by roots, exuded in the rhizosphere and as having a role in both parasitic and symbiotic interactions.Depuis les annĂ©es 1930, l’auxine et les cytokinines Ă©taient les deux seules hormones connues pour ĂȘtre impliquĂ©es dans le contrĂŽle de la ramification des plantes par le processus de la dominance apicale par lequel l’apex de la tige, producteur d’auxine, inhibe le dĂ©marrage des bourgeons axillaires sous-jacents. Des expĂ©riences de greffes avec des mutants hyper-ramifiĂ©s et le clonage des gĂšnes mutĂ©s ont permis de dĂ©montrer l’existence d’un nouveau signal dĂ©rivĂ© de carotĂ©noides agissant Ă  longue distance et rĂ©primant la ramification. RĂ©cemment, il a Ă©tĂ© dĂ©montrĂ© que cet inhibiteur de la ramification fait partie des strigolactones, groupe de petites molĂ©cules dĂ©jĂ  connues pour ĂȘtre produites par les racines des plantes et exsudĂ©es dans la rhizosphĂšre oĂč elles jouent un rĂŽle dans des interactions parasitaires et symbiotiques

    Interpretation of performances of hybrids obtained from 43 asparagus parent genotypes

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    The data used were the yields of 231 distinct hybrids grown in long-term multi-site trials (10 yr, 4 sites), resulting from the crossing of 43 genotypes. Genotype-environment interaction was taken into account by means of a factorial regression model previously defined through the varieties used as controls in the trials. Two environmental covariates were used: the latitude of the site, and the type of production (green or white asparagus). It is shown in this paper that most of main effects and genotype-environment interactions could be explained by additive and symmetrical parental influences. The pseudo-diallel structure was therefore reduced to the values of 3 parameters associated with each parent (main effect and 2 regression coefficients) and could thus be easily interpreted. The model was used to evaluate yields of all 816 possible hybrids within chosen environmental conditions.Les rendements de 231 hybrides diffĂ©rents constituent l’ensemble des donnĂ©es utilisĂ©, provenant d’un rĂ©seau d’expĂ©rimentation comprenant 10 annĂ©es et 4 lieux. Les interactions gĂ©notype-milieu sont prises en compte par le biais d’un modĂšle de rĂ©gression factorielle Ă©tabli dans un travail antĂ©rieur Ă  partir des variĂ©tĂ©s utilisĂ©es comme tĂ©moin dans le dispositif. Deux covariables du milieu sont utilisĂ©es : la latitude du lieu et le type de production (asperge blanche ou verte) dans le lieu et l’annĂ©e. On arrive Ă  la conclusion que les effets principaux et les interactions gĂ©notype-milieu peuvent ĂȘtre dĂ©crites par des effets parentaux additifs et symĂ©triques. L’interprĂ©tation du pseudo-diallĂšle peut donc ĂȘtre facilement Ă©tablie grĂące aux valeurs de 3 paramĂštres (effet principal et 2 coefficients de rĂ©gression) caractĂ©risant chacun des 43 gĂ©notypes parentaux. Enfin la valeur hypothĂ©tique des hybrides est prĂ©dite (y compris pour les hybrides non expĂ©rimentĂ©s) grĂące au modĂšle retenu pour des conditions d’un milieu dĂ©terminĂ©

    Characterization of environments in long-term multi-site trials in Asparagus, through yield of standard varieties and use of environmental covariates

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    Flowering time in pea (a systems biology approach from the genetic network to the field)

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    Le pois, Ă  la fois espĂšce modĂšle pour l Ă©tude du dĂ©veloppement et espĂšce agronomique, reprĂ©sente un sujet idĂ©al pour des Ă©tudes intĂ©grĂ©es Ă  diffĂ©rentes Ă©chelles. La transition florale est un caractĂšre clĂ© du dĂ©veloppement et des approches variĂ©es ont conduit Ă  diffĂ©rents modĂšles. Les approches de gĂ©nĂ©tique et physiologie menĂ©es en conditions contrĂŽlĂ©es sur une large gamme de mutants ont conduit au dĂ©veloppement d un modĂšle descriptif pour les interactions entre les gĂšnes connus contrĂŽlant la floraison. Les Ă©tudes en plein champ ont permis de dĂ©velopper des modĂšles Ă©cophysiologiques de la date de floraison en fonction de la photopĂ©riode et de la tempĂ©rature qui ne prennent pas en compte le gĂ©notype. Plus rĂ©cemment, les donnĂ©es sur Arabidopsis thaliana permettent d avoir une comprĂ©hension au niveau molĂ©culaire des mĂ©canismes en jeu. Ce projet est une premiĂšre approche pour intĂ©grer ce large jeu de donnĂ©es au sein d un modĂšle prĂ©dictif de la date d initiation florale, dĂ©composĂ© sous la forme du produit mathĂ©matique du premier nƓud d initiation florale (NFI) et du temps nĂ©cessaire Ă  l initiation d un nouveau nƓud Ă  l apex (plastochrone). Un premier modĂšle mathĂ©matique pour la rĂ©gulation gĂ©nĂ©tique du NFI a Ă©tĂ© dĂ©veloppĂ© qui permet de prĂ©dire le NFI pour diffĂ©rents gĂ©notypes et photopĂ©riodes. Les rĂ©ponses du NFI et du plastochrone aux conditions environnementales ont Ă©tĂ© analysĂ©es prĂ©cisĂ©ment. Je me suis intĂ©ressĂ©e particuliĂšrement aux deux gĂšnes clĂ©s de floraison LATE FLOWERING (LF) et HIGH RESPONSE TO PHOTOPERIOD (HR). Ce travail propose des pistes pour exploiter l approche de modĂ©lisation pour la floraison chez le pois Ă  la lumiĂšre des nouvelles donnĂ©es molĂ©culaires.Pea (Pisum sativum) represents a valuable model species for systems biology approaches, as it is both a crop a model species that has been used for decades to investigate developmental processes. Various approaches led to a tremendous amount of data on flowering : (i) genetic and physiological approaches carried out on non-allelic flowering mutants under controlled conditions allowed the development of a descriptive, non-predictive model for the genetic regulation of flowering in pea; (ii) extensive studies on environmental control of flowering led to agroecophysiological models for flowering time prediction. Additionally, recent molecular advances in pea and the model species Arabidopsis thaliana improved the knowledge on the regulation of flowering. The objective of this work was to integrate this wide range of date into a predictive model in which the time of flower initiation has been broken down into two components variables: the node of first open flower (NFI) and the duration between initiation of two nodes (plastochron). I developed a first predictive model for NFI, based on genetic and photoperiodic control of flowering in pea. Furthermore, analyses of lines grown under field conditions allowed a better understanding of NFI and plastochron responses to environmental conditions. These systems biology approaches were complemented by the molecular study of the two pea flowering key genes LATE FLOWERING (LF) and HIGH RESPONSE TO PHOTOPERIOD (HR). These results, together with the new molecular data, lead to a better understanding of the genetic control of flowering and development in pea. This work opens new avenues to modelling approaches for flowering in pea.ORSAY-PARIS 11-BU Sciences (914712101) / SudocSudocFranceF
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