Browsing by Subject "life cycle"
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Item Open Access Integrating Life Cycle Assessment in AT&T's Product Eco-Rating System(2015-04-24) Barrs, DanielleAT&T Inc. is an American communications holding company whose subsidiaries and affiliates are providers of AT&T services, including wireless services. In connection with its Citizenship & Sustainability (C&S) efforts, AT&T requires that wireless devices carrying its brand be rated based on a number of environmental factors. These factors are assessed and devices are given an eco-rating of 1-5 stars. Now, AT&T is looking to incorporate life cycle assessment (LCA) into this product eco-rating system. This Master’s Project serves as a reference guide to assist AT&T in the integration of LCA in their eco-ratings. It also serves as the foundation for a business strategy roadmap which leverages the incorporation of LCA in corporate sustainability initiatives. This enhances transparency, reliability and innovation – not only as it relates to the company itself, but in helping consumers and other organizations forge a more sustainable future in an ever-evolving world. This report begins with an overview of sustainability initiatives at AT&T, followed by a breakdown of the company’s product eco-rating system. Subsequent sections consist of an LCA overview and roadmap, an analysis of emerging trends in the ICT industry with regards to life cycle and impact assessment, and recommendations for further development of AT&T’s C&S efforts in this regard.Item Open Access Overlapping Patterns of Gene Expression Between Gametophyte and Sporophyte Phases in the Fern Polypodium amorphum (Polypodiales).(Frontiers in plant science, 2018-01) Sigel, EM; Schuettpelz, E; Pryer, KM; Der, JPFerns are unique among land plants in having sporophyte and gametophyte phases that are both free living and fully independent. Here, we examine patterns of sporophytic and gametophytic gene expression in the fern Polypodium amorphum, a member of the homosporous polypod lineage that comprises 80% of extant fern diversity, to assess how expression of a common genome is partitioned between two morphologically, ecologically, and nutritionally independent phases. Using RNA-sequencing, we generated transcriptome profiles for three replicates of paired samples of sporophyte leaf tissue and whole gametophytes to identify genes with significant differences in expression between the two phases. We found a nearly 90% overlap in the identity and expression levels of the genes expressed in both sporophytes and gametophytes, with less than 3% of genes uniquely expressed in either phase. We compare our results to those from similar studies to establish how phase-specific gene expression varies among major land plant lineages. Notably, despite having greater similarity in the identity of gene families shared between P. amorphum and angiosperms, P. amorphum has phase-specific gene expression profiles that are more like bryophytes and lycophytes than seed plants. Our findings suggest that shared patterns of phase-specific gene expression among seed-free plants likely reflect having relatively large, photosynthetic gametophytes (compared to the gametophytes of seed plants that are highly reduced). Phylogenetic analyses were used to further investigate the evolution of phase-specific expression for the phototropin, terpene synthase, and MADS-box gene families.Item Open Access The Influence of Genetic and Environmental Factors on the Phenology and Life-Cycle Expression of Arabidopsis thaliana(2015) Burghardt, Liana TThis dissertation examines the processes that generate phenotypic variation in life cycles in seasonal environments. Collectively, a life cycle describes the stages an organism passes through during a generation. The timing, or phenology, of these transitions is often influenced by both environmental and allelic variation. Using the model organism Arabidopsis thaliana and both empirical and modeling approaches, I examine how correlations between life-cycle transitions, environment-dependent allelic effects, and epistasis generate patterns of life-cycle variation both within and between generations. In my first chapter, I use experiments to determine that many combinations of genetic, environmental, and developmental factors can create similar germination phenotypes, that maternal effects can influence phenotypes more than genetic differences, and that cross-generational effects can reduce variation in germination timing despite variation in flowering and dispersal time. In my second chapter, I use a modeling approach to consider the entire life cycle. I find that environmental variation is a major driver of phenotypic variation, and that considering the known geographic distribution of allelic variation across the range improves the match of model predictions to phenotypes expressed in natural populations. Specifically, variation in dormancy generated in the previous generation is predicted to cause life-cycle differences within a location, and the geographic distribution of allelic variation in dormancy interacts with local climatic environments to canalize an annual life history across the range. Finally, I test if allelic and environmental variation that affects early life stages can influence the environment experienced during reproduction. This environment determines both the time available for reproduction and the environment experienced during senescence. By implementing simple survival rules for flowering plants in the model, I show that time available for a plant to reproduce depends on earlier phenological traits and varies widely from year to year, location to location, and genotype to genotype. If reproductive trade-offs that underlie the evolution of senescence are environmentally sensitive, these results suggest that genetic variation in earlier life-stage transitions might shape senescence rates and whether they are environmentally responsive. In sum, my dissertation demonstrates the importance of pleiotropy, environment-dependent allelic expression, and epistasis in defining life-cycle variation, and proposes a novel way of predicting these relationships and complex life cycles under seasonal conditions.