Domestication and the storage starch biosynthesis pathway: Signatures of selection from a whole sorghum genome sequencing strategy

Next-generation sequencing of complete genomes has given researchers unprecedented levels of information to study the multifaceted evolutionary changes that have shaped elite plant germplasm. In conjunction with population genetic analytical techniques and detailed online databases, we can more accurately capture the effects of domestication on entire biological pathways of agronomic importance. In this study, we explore the genetic diversity and signatures of selection in all predicted gene models of the storage starch synthesis pathway of Sorghum bicolor, utilizing a diversity panel containing lines categorized as either ‘Landraces’ or ‘Wild and Weedy’ genotypes. Amongst a total of 114 genes involved in starch synthesis, 71 had at least a single signal of purifying selection and 62 a signal of balancing selection and others a mix of both. This included key genes such as STARCH PHOSPHORYLASE 2 (SbPHO2, under balancing selection), PULLULANASE (SbPUL, under balancing selection) and ADP-glucose pyrophosphorylases (SHRUNKEN2, SbSH2 under purifying selection). Effectively, many genes within the primary starch synthesis pathway had a clear reduction in nucleotide diversity between the Landraces and wild and weedy lines indicating that the ancestral effects of domestication are still clearly identifiable. There was evidence of the positional rate variation within the well-characterized primary starch synthesis pathway of sorghum, particularly in the Landraces, whereby low evolutionary rates upstream and high rates downstream in the metabolic pathway were expected. This observation did not extend to the wild and weedy lines or the minor starch synthesis pathways.

Domestication and the storage starch biosynthesis pathway: signatures of selection from a whole sorghum genome sequencing strategy

Next-generation sequencing of complete genomes has given researchers unprecedented levels of information to study the multifaceted evolutionary changes that have shaped elite plant germplasm. In conjunction with population genetic analytical techniques and detailed online databases, we can more accurately capture the effects of domestication on entire biological pathways of agronomic importance. In this study, we explore the genetic diversity and signatures of selection in all predicted gene models of the storage starch synthesis pathway of Sorghum bicolor, utilizing a diversity panel containing lines categorized as either ‘Landraces’ or ‘Wild and Weedy’ genotypes. Amongst a total of 114 genes involved in starch synthesis, 71 had at least a single signal of purifying selection and 62 a signal of balancing selection and others a mix of both. This included key genes such as STARCH PHOSPHORYLASE 2 (SbPHO2, under balancing selection), PULLULANASE (SbPUL, under balancing selection) and ADP-glucose pyrophosphorylases (SHRUNKEN2, SbSH2 under purifying selection). Effectively, many genes within the primary starch synthesis pathway had a clear reduction in nucleotide diversity between the Landraces and wild and weedy lines indicating that the ancestral effects of domestication are still clearly identifiable. There was evidence of the positional rate variation within the well-characterized primary starch synthesis pathway of sorghum, particularly in the Landraces, whereby low evolutionary rates upstream and high rates downstream in the metabolic pathway were expected. This observation did not extend to the wild and weedy lines or the minor starch synthesis pathways.

The Evolution of Massive Young Stellar Objects in the Large Magellanic Cloud

This thesis presents an analysis of the largest catalog to date of infrared spectra of massive young stellar objects in the Large Magellanic Cloud. Evidenced by their very different spectral features, the luminous objects span a range of evolutionary states from those most embedded in their natal molecular material to those that have dissipated and ionized their surroundings to form compact HII regions and photodissociation regions. We quantify the contributions of the various spectral features using the statistical method of principal component analysis. Using this analysis, we classify the YSO spectra into several distinct groups based upon their dominant spectral features: silicate absorption (S Group), silicate absorption and fine-structure line emission (SE), polycyclic aromatic hydrocarbon (PAH) emission (P Group), PAH and fine-structure line emission (PE), and only fine-structure line emission (E). Based upon the relative numbers of sources in each category, we are able to estimate the amount of time massive YSOs spend in each evolutionary stage. We find that approximately 50% of the sources have ionic fine-structure lines, indicating that a compact HII region forms about half-way through the YSO lifetime probed in our study. Of the 277 YSOs we collected spectra for, 41 have ice absorption features, indicating they are surrounded by cold ice-bearing dust particles. We have decomposed the shape of the ice features to probe the composition and thermal history of the ice. We find that most the CO2 ice is embedded a polar ice matrix that has been thermally processed by the embedded YSO. The amount of thermal processing may be correlated with the luminosity of the YSO. Using the Australia Telescope Compact Array, we imaged the dense gas around a subsample of our sources in the HII complexes N44, N105, N113, and N159 using HCO+ and HCN as dense gas tracers. We find that the molecular material in star forming environments is highly clumpy, with clumps that range from subparsec to ~2 parsecs in size and with masses between 10^2 to 10^4 solar masses. We find that there are varying levels of star formation in the clumps, with the lower-mass clumps tending to be without massive YSOs. These YSO-less clumps could either represent an earlier stage of clump to the more massive YSO-bearing ones or clumps that will never form a massive star. Clumps with massive YSOs at their centers have masses larger than those with massive YSOs at their edges, and we suggest that the difference is evolutionary: edge YSO clumps are more advanced than those with YSOs at their centers. Clumps with YSOs at their edges may have had a significant fraction of their mass disrupted or destroyed by the forming massive star. We find that the strength of the silicate absorption seen in YSO IR spectra feature is well-correlated with the on-source HCO+ and HCN flux densities, such that the strength of the feature is indicative of the embeddedness of the YSO. We estimate that ~40% of the entire spectral sample has strong silicate absorption features, implying that the YSOs are embedded in circumstellar material for about 40% of the time probed in our study.

Quichua-Spanish language contact in Salcedo, Ecuador: revisiting media lengua syncretic language practices

The purpose of the current thesis is to develop a better understanding of the interaction between Spanish and Quichua in the Salcedo region and provide more information for the processes that might have given rise to Media Lengua, a ‘mixed’ language comprised of a Quichua grammar and Spanish lexicon. Muysken attributes the formation of Media Lengua to relexification, ruling out any influence from other bilingual phenomena. I argue that the only characteristic that distinguishes Media Lengua from other language contact varieties in central Ecuador is the quantity of the overall Spanish borrowings and not the type of processes that might have been employed by Quichua speakers during the genesis of Media Lengua. The results from the Salcedo data that I have collected show how processes such as adlexification, code-mixing, and structural convergence produce Media Lengua-type sentences, evidence that supports an alternative analysis to Muysken’s relexification hypothesis. Overall, this dissertation is developed around four main objectives: (1) to describe the variation of Spanish loanwords within a bilingual community in Salcedo; (2) to analyze some of the prominent and recent structural changes in Quichua and Spanish; (3) to determine whether Spanish loanword use can be explained by the relationship consultants have with particular social categories; and (4) to analyze the consultants’ language ideologies toward syncretic uses of Spanish and Quichua. Overall, 58% of the content words, 39% of the basic vocabulary, and 50% of the subject pronouns in the Salcedo corpus were derived from Spanish. When compared to Muysken’s description of highlander Quichua in the 1970’s, Spanish loanwords have more than doubled in each category. The overall level of Spanish loanwords in Salcedo Quichua has grown to a level between highlander Quichua in the 1970’s and Media Lengua. Similar to Spanish’s lexical influence in Media Lengua, the increase of Spanish borrowings in today’s rural Quichua can be seen in non-basic and basic vocabularies as well as the subject pronoun system. Significantly, most of the growth has occurred through forms of adlexification i.e., doublets, well-established borrowings, and cultural borrowings, suggesting that ‘ordinary’ lexical borrowing is also capable of producing Media Lengua-type sentences. I approach the second objective by investigating two separate phenomena related to structural convergence. The first examines the complex verbal constructions that have developed in Quichua through Spanish loan translations while the second describes the type of Quichua particles that are attached to Spanish lexemes while speaking Spanish. The calquing of the complex verbal constructions from Spanish were employed when speaking standard Quichua. Since this standard form is typically used by language purists, I argue that their use of calques is a strategy of exploiting the full range of expression from Spanish without incorporating any of the Spanish lexemes which would give the appearance of ‘contamination’. The use of Quichua particles in local varieties of Spanish is a defining characteristic of Quichuacized Spanish, spoken most frequently by women and young children in the community. Although the use of Quichua particles was probably not the main catalyst engendering Media Lengua, I argue that its contribution as a source language to other ‘mixed’ varieties, such as Media Lengua, needs to be accounted for in descriptions of BML genesis. Contrary to Muysken’s representation of relatively ‘unmixed’ Spanish and Quichua as the two source languages of Media Lengua, I propose that local varieties of Spanish might have already been ‘mixed’ to a large degree before Media Lengua was created. The third objective attempts to draw a relationship between particular social variables and the use of Spanish loanwords. Whisker Boxplots and ANOVAs were used to determine which social group, if any, have been introducing new Spanish borrowings into the bilingual communities in Salcedo. Specifically, I controlled for age, education, native language, urban migration, and gender. The results indicate that none of the groups in each of the five social variables indicate higher or lower loanword use. The implication of these results are twofold: (a) when lexical borrowing occurs, it is immediately adopted as the community-wide norm and spoken by members from different backgrounds and generations, or (b) this level of Spanish borrowing (58%) is not a recent phenomenon. The fourth and final objective draws on my ethnographic research that addresses the attitudes of syncretic language use. I observed that Quichuacized Spanish and Hispanicized Quichua are highly stigmatized varieties spoken by the country’s most marginalized populations and families, yet within the community, syncretic ways of speaking are in fact the norm. It was shown that there exists a range of different linguistic definitions for ‘Chaupi Lengua’ and other syncretic language practices as well as many contrasting connotations, most of which were negative. One theme that emerged from the interviews was that speaking syncretic varieties of Quichua weakened the consultant’s claim to an indigenous identity. The linguistic and social data presented in this dissertation supports an alternative view to Muysken’s relexification hypothesis, one that has the advantage of operating with well-precedented linguistic processes and which is actually observable in the present-day Salcedo area. The results from the study on lexical borrowing are significant because they demonstrate how a dynamic bilingual speech community has gradually diversified their Quichua lexicon under intense pressure to shift toward Spanish. They also show that Hispanicized Quichua (Quichua with heavy lexical borrowing) clearly arose from adlexification and prolonged lexical borrowing, and is one of at least six identifiable speech styles found in Salcedo. These results challenge particular interpretations of language contact outcomes, such as, ones that depict sources languages as discrete and ‘unmixed.’ The bilingual continuum presented in this thesis shows on the one hand, the range of speech styles that are accessible to different speakers, and on the other hand, the overlapping, syncretic features that are shared among the different registers and language varieties. It was observed that syncretic speech styles in Salcedo are employed by different consultants in varied interactional contexts, and in turn, produce different evaluations by other fellow community members. In the current dissertation, I challenge the claim that relexification and Media Lengua-type sentences develop in isolation and without the influence of other bilingual phenomena. Based on Muysken's Media Lengua example sentences and the speech styles from the Salcedo corpus, I argue that Media Lengua may have arisen as an institutionalized variant of the highly mixed "middle ground" within the range of the Salcedo bilingual continuum discussed above. Such syncretic forms of Spanish and Quichua strongly resemble Media Lengua sentences in Muysken’s research, and therefore demonstrate how its development could have occurred through several different language contact processes and not only through relexification.

Management accounting and supply chains: actions, concerns, and networks

What does this thesis do? This thesis uses Actor-Network Theory (ANT) to examine how a UK retailer’s organization and strategy, and, in turn, its form of management accounting was shaped by its supply chain. The thesis does this by reporting on four related themes in the form of four inter-connected essays. The first essay undertakes a state-of-the-art review of the literature. It examines how accounting issues within supply chains permeate ‘matters of concern’. In accordance with this idea of ANT, the essay illustrates how issues emerged, controversies developed, and matters evolved through an actor-network of accounting researchers within the supply chain domain. This leads on to the second essay, which exemplifies the nature of the UK’s retailing industry within which the supply chain case organization emerged and developed. The purposes of the essay are twofold: to introduce the contextual ramifications of the case organization; and to illustrate the emergence of a new market logic, which led to the creation of a global supply chain and a new form of management accounting therein. The third essay reports on a qualitative case study. It analyses the dualistic relation between ostensive and performative aspects of supply chain strategy, reveals how accounting numbers act as an obligatory passage point within this dualism, and makes a contribution to the ANT debate around the issue of whether and how a dualism between ostensive and performative aspects exists. The final essay reports on another case analysis of institutionalizing a heterarchical form of management accounting: a distributed form of intelligence that penetrates through lateral accountable relations. The analysis reveals a new form of management accounting characterised by ambiguity; it emphasizes the possibilities of compromises and negotiations, and it thus contributes to knowledge by combining an aspect of ANT with heterarchical tendencies in the world of contemporary organizations. Finally, the thesis concludes that it is the supply chain that organises today’s neoliberal capitalism; and it is management accounting that unites both human and non-human actors within such supply chains, despite that form of management accounting being ambiguous. The thesis comprises the introduction, these four essays, and the conclusion.

Origin and fate of surface drift in the oceanic convergence zones of the eastern Pacific

This study investigates the structure and intensity of the surface pathways connecting to and from the central areas of the large-scale convergence regions of the eastern Pacific Ocean. Surface waters are traced with numerical Lagrangian particles transported in the velocity field of three different ocean models with horizontal resolutions that range from ¼° to 1/32°. The connections resulting from the large-scale convergent Ekman dynamics agree qualitatively but are strongly modulated by eddy variability that introduces meridional asymmetry in the amplitude of transport. Lagrangian forward-in-time integrations are used to analyze the fate of particles originating from the central regions of the convergence zones and highlight specific outflows not yet reported for the southeastern Pacific when using the currents at the highest resolutions (1/12° and 1/32°). The meridional scales of these outflows are comparable to the characteristic width of the fine-scale striation of mean currents.

Dynamic Programming Approaches for Estimating and Applying Large-scale Discrete Choice Models

People go through their life making all kinds of decisions, and some of these decisions affect their demand for transportation, for example, their choices of where to live and where to work, how and when to travel and which route to take. Transport related choices are typically time dependent and characterized by large number of alternatives that can be spatially correlated. This thesis deals with models that can be used to analyze and predict discrete choices in large-scale networks. The proposed models and methods are highly relevant for, but not limited to, transport applications. We model decisions as sequences of choices within the dynamic discrete choice framework, also known as parametric Markov decision processes. Such models are known to be difficult to estimate and to apply to make predictions because dynamic programming problems need to be solved in order to compute choice probabilities. In this thesis we show that it is possible to explore the network structure and the flexibility of dynamic programming so that the dynamic discrete choice modeling approach is not only useful to model time dependent choices, but also makes it easier to model large-scale static choices. The thesis consists of seven articles containing a number of models and methods for estimating, applying and testing large-scale discrete choice models. In the following we group the contributions under three themes: route choice modeling, large-scale multivariate extreme value (MEV) model estimation and nonlinear optimization algorithms. Five articles are related to route choice modeling. We propose different dynamic discrete choice models that allow paths to be correlated based on the MEV and mixed logit models. The resulting route choice models become expensive to estimate and we deal with this challenge by proposing innovative methods that allow to reduce the estimation cost. For example, we propose a decomposition method that not only opens up for possibility of mixing, but also speeds up the estimation for simple logit models, which has implications also for traffic simulation. Moreover, we compare the utility maximization and regret minimization decision rules, and we propose a misspecification test for logit-based route choice models. The second theme is related to the estimation of static discrete choice models with large choice sets. We establish that a class of MEV models can be reformulated as dynamic discrete choice models on the networks of correlation structures. These dynamic models can then be estimated quickly using dynamic programming techniques and an efficient nonlinear optimization algorithm. Finally, the third theme focuses on structured quasi-Newton techniques for estimating discrete choice models by maximum likelihood. We examine and adapt switching methods that can be easily integrated into usual optimization algorithms (line search and trust region) to accelerate the estimation process. The proposed dynamic discrete choice models and estimation methods can be used in various discrete choice applications. In the area of big data analytics, models that can deal with large choice sets and sequential choices are important. Our research can therefore be of interest in various demand analysis applications (predictive analytics) or can be integrated with optimization models (prescriptive analytics). Furthermore, our studies indicate the potential of dynamic programming techniques in this context, even for static models, which opens up a variety of future research directions.

French good practice guidelines for management of the risk of low back pain among workers exposed to manual material handling: Hierarchical strategy of risk assessment of work situations

International audience

A Fuzzy Decision Strategy for Topic Identification and Dynamic Selection of Language Models

International audience

Análise experimental do efeito da diversificação em carteiras de ações: a relação entre risco e quantidade de ativos sob a ótica da estratégia ingênua

The objective is to analyze the relationship between risk and number of stocks of a portfolio for an individual investor when stocks are chosen by "naive strategy". For this, we carried out an experiment in which individuals select actions to reproduce this relationship. 126 participants were informed that the risk of first choice would be an asset average of all standard deviations of the portfolios consist of a single asset, and the same procedure should be used for portfolios composed of two, three and so on, up to 30 actions . They selected the assets they want in their portfolios without the support of a financial analysis. For comparison we also tested a hypothetical simulation of 126 investors who selected shares the same universe, through a random number generator. Thus, each real participant is compensated for random hypothetical investor facing the same opportunity. Patterns were observed in the portfolios of individual participants, characterizing the curves for the components of the samples. Because these groupings are somewhat arbitrary, it was used a more objective measure of behavior: a simple linear regression for each participant, in order to predict the variance of the portfolio depending on the number of assets. In addition, we conducted a pooled regression on all observations by analyzing cross-section. The result of pattern occurs on average but not for most individuals, many of which effectively "de-diversify" when adding seemingly random bonds. Furthermore, the results are slightly worse using a random number generator. This finding challenges the belief that only a small number of titles is necessary for diversification and shows that there is only applicable to a large sample. The implications are important since many individual investors holding few stocks in their portfolios

Multiscale Modeling and Simulation of Stepped Crystal Surfaces

A primary goal of this dissertation is to understand the links between mathematical models that describe crystal surfaces at three fundamental length scales: The scale of individual atoms, the scale of collections of atoms forming crystal defects, and macroscopic scale. Characterizing connections between different classes of models is a critical task for gaining insight into the physics they describe, a long-standing objective in applied analysis, and also highly relevant in engineering applications. The key concept I use in each problem addressed in this thesis is coarse graining, which is a strategy for connecting fine representations or models with coarser representations. Often this idea is invoked to reduce a large discrete system to an appropriate continuum description, e.g. individual particles are represented by a continuous density. While there is no general theory of coarse graining, one closely related mathematical approach is asymptotic analysis, i.e. the description of limiting behavior as some parameter becomes very large or very small. In the case of crystalline solids, it is natural to consider cases where the number of particles is large or where the lattice spacing is small. Limits such as these often make explicit the nature of links between models capturing different scales, and, once established, provide a means of improving our understanding, or the models themselves. Finding appropriate variables whose limits illustrate the important connections between models is no easy task, however. This is one area where computer simulation is extremely helpful, as it allows us to see the results of complex dynamics and gather clues regarding the roles of different physical quantities. On the other hand, connections between models enable the development of novel multiscale computational schemes, so understanding can assist computation and vice versa. Some of these ideas are demonstrated in this thesis. The important outcomes of this thesis include: (1) a systematic derivation of the step-flow model of Burton, Cabrera, and Frank, with corrections, from an atomistic solid-on-solid-type models in 1+1 dimensions; (2) the inclusion of an atomistically motivated transport mechanism in an island dynamics model allowing for a more detailed account of mound evolution; and (3) the development of a hybrid discrete-continuum scheme for simulating the relaxation of a faceted crystal mound. Central to all of these modeling and simulation efforts is the presence of steps composed of individual layers of atoms on vicinal crystal surfaces. Consequently, a recurring theme in this research is the observation that mesoscale defects play a crucial role in crystal morphological evolution.

Development of a novel platform for high-throughput gene design and artificial gene synthesis to produce large libraries of recombinant venom peptides for drug discovery

Tese de Doutoramento em Ciências Veterinárias na Especialidade de Ciências Biológicas e Biomédicas

Multiresistance in Pasteurella multocida is mediated by coexistence of small plasmids

In most gram-negative bacteria, acquired multiresistance is conferred by large plasmids compiling numerous antimicrobial resistance genes. Here, we show an evolutionary alternative strategy used by Pasteurella multocida to become resistant to multiple clinically relevant antibiotics. Thirteen beta-lactam-resistant clinical isolates, concomitantly resistant to tetracyclines and/or streptomycin as well as to sulfonamides, were studied. Pulsed-field gel electrophoresis analysis revealed different profiles among the isolates, showing that clonal dissemination was not the sole event responsible for the spread of multiresistance. Each P. multocida strain carried two or three small plasmids between 4 and 6 kb in size. A direct association between resistance profile and plasmid content was found. Complete nucleotide sequencing of all plasmids revealed seven different replicons, six of them belonging to the ColE1 superfamily. All plasmids carried one, or a maximum of two, antimicrobial resistance determinants. Plasmids pB1000 and pB1002 bore bla(ROB-1), pB1001 carried tet(B), pB1003 and pB1005 carried sul2 and strA, pB1006 harbored tet(O), and p9956 bore the tet(H) gene. All plasmids except pB1002 and pB1006 were successfully transformed into Escherichia coli. pB1000, also involved in beta-lactam resistance in Haemophilus parasuis (A. San Millan et al., Antimicrob. Agents Chemother. 51:2260-2264, 2007), was mobilized in E. coli using the conjugation machinery of an IncP plasmid. Stability experiments proved that pB1000 was stable in P. multocida but highly unstable in E. coli. In conclusion, bla(ROB-1) is responsible for beta-lactam resistance in P. multocida in Spain. Coexistence and the spread of small plasmids are used by P. multocida to become multiresistant.

Reassessing the Evolutionary History of the 17q21 Inversion Polymorphism

A polymorphic inversion that lies on chromosome 17q21 comprises two major haplotype families (H1 and H2) that not only differ in orientation but also in copy-number. Although the processes driving the spread of the inversion-associated lineage (H2) in humans remain unclear, a selective advantage has been proposed for one of its subtypes. Here, we genotyped a large panel of individuals from previously overlooked populations using a custom array with a unique panel of H2-specific single nucleotide polymorphisms and found a patchy distribution of H2 haplotypes in Africa, with North Africans displaying a higher frequency of inverted subtypes, when compared with Sub-Saharan groups. Interestingly, North African H2s were found to be closer to "non-African" chromosomes further supporting that these populations may have diverged more recently from groups outside Africa. Our results uncovered higher diversity within the H2 family than previously described, weakening the hypothesis of a strong selective sweep on all inverted chromosomes and suggesting a rather complex evolutionary history at this locus.

Molecular Origins of Higher Harmonics in Large-Amplitude Oscillatory Shear Flow: Shear Stress Response

Recent work has focused on deepening our understanding of the molecular origins of the higher harmonics that arise in the shear stress response of polymeric liquids in large-amplitude oscillatory shear flow. For instance, these higher harmonics have been explained by just considering the orientation distribution of rigid dumbbells suspended in a Newtonian solvent. These dumbbells, when in dilute suspension, form the simplest relevant molecular model of polymer viscoelasticity, and this model specifically neglects interactions between the polymer molecules [R.B. Bird et al., J Chem Phys, 140, 074904 (2014)]. In this paper, we explore these interactions by examining the Curtiss-Bird model, a kinetic molecular theory designed specifically to account for the restricted motions that arise when polymer chains are concentrated, thus interacting and specifically, entangled. We begin our comparison using a heretofore ignored explicit analytical solution [Fan and Bird, JNNFM, 15, 341 (1984)]. For concentrated systems, the chain motion transverse to the chain axis is more restricted than along the axis. This anisotropy is described by the link tension coefficient, ε, for which several special cases arise: ε = 0 corresponds to reptation, ε > 1/8 to rod-climbing, 1/2 ≥ ε ≥ 3/4 to reasonable predictions for shear-thinning in steady simple shear flow, and ε = 1 to the dilute solution without hydrodynamic interaction. In this paper, we examine the shapes of the shear stress versus shear rate loops for the special cases ε = (0,1/8, 3/8,1) , and we compare these with those of rigid dumbbell and reptation model predictions.