Publications by authors named "Hodgman T"

Changes in the frequency and severity of extreme weather may introduce new threats to species that are already under stress from gradual habitat loss and climate change. We provide a probabilistic framework that quantifies potential threats by applying concepts from ecological resilience to single populations. Our approach uses computation to compare disturbance-impacted projections to a population's normal range of variation, quantifying the full range of potential impacts.

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The case for improving crop phosphorus-use-efficiency is widely recognized. Although much is known about the molecular and regulatory mechanisms, improvements have been hampered by the extreme complexity of phosphorus (P) dynamics, which involves soil chemistry; plant-soil interactions; uptake, transport, utilization and remobilization within plants; and agricultural practices. The urgency and direction of phosphate research is also dependent upon the finite sources of P, availability of stocks to farmers and reducing environmental hazards.

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A central challenge in the Mississippi River Basin is how to continue to support profitable agricultural production, provide water supply, flood control, transportation, and other benefits, while reducing the current burden of environmental degradation. Several practices have been shown to reduce nutrient runoff and water pollution, and improve soil fertility, while often yielding profits for farmers. Yet many of these beneficial practices remain underutilized.

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Phosphorus is a growth-limiting nutrient for plants. The growing scarcity of phosphate stocks threatens global food security. Phosphate-uptake regulation is so complex and incompletely known that attempts to improve phosphorus use efficiency have had extremely limited success.

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Article Synopsis
  • The study examines how abiotic (non-living) and biotic (living) stressors impact the Saltmarsh Sparrow's nest survival across its breeding range, revealing significant spatial variation.
  • Researchers collected demographic data from 23 sites and analyzed 837 nests, finding that nest predation risk decreases with latitude while nest flooding is driven by specific tidal conditions rather than geography.
  • The findings highlight the independent influence of these stressors on the bird's reproductive success, providing crucial insights for conservation efforts aimed at protecting this threatened species amidst changing environmental conditions.
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Introduction: It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations.

Objectives: This work simplifies this process.

Methods: A method has been developed to query an online holistic lipid metabolic network (of 7923 metabolites) to extract the pathways that connect the input list of lipids.

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The range of a species is determined by the balance of its demographic rates across space. Population growth rates are widely hypothesized to be greatest at the geographic center of the species range, but indirect empirical support for this pattern using abundance as a proxy has been mixed, and demographic rates are rarely quantified on a large spatial scale. Therefore, the texture of how demographic rates of a species vary over its range remains an open question.

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Coastal marshes are one of the world's most productive ecosystems. Consequently, they have been heavily used by humans for centuries, resulting in ecosystem loss. Direct human modifications such as road crossings and ditches and climatic stressors such as sea-level rise and extreme storm events have the potential to further degrade the quantity and quality of marsh along coastlines.

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We aimed to identify novel molecular mechanisms for muscle growth during administration of anabolic agents. Growing pigs (Duroc/(Landrace/Large-White)) were administered Ractopamine (a beta-adrenergic agonist; BA; 20 ppm in feed) or Reporcin (recombinant growth hormone; GH; 10 mg/48 hours injected) and compared to a control cohort (feed only; no injections) over a 27-day time course (1, 3, 7, 13 or 27-days). Longissimus Dorsi muscle gene expression was analyzed using Agilent porcine transcriptome microarrays and clusters of genes displaying similar expression profiles were identified using a modified maSigPro clustering algorithm.

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In plants, genomic DNA methylation which contributes to development and stress responses can be actively removed by DEMETER-like DNA demethylases (DMLs). Indeed, in Arabidopsis DMLs are important for maternal imprinting and endosperm demethylation, but only a few studies demonstrate the developmental roles of active DNA demethylation conclusively in this plant. Here, we show a direct cause and effect relationship between active DNA demethylation mainly mediated by the tomato DML, SlDML2, and fruit ripening- an important developmental process unique to plants.

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The endogenous circadian clock enables organisms to adapt their growth and development to environmental changes. Here we describe how the circadian clock is employed to coordinate responses to the key signal auxin during lateral root (LR) emergence. In the model plant, Arabidopsis thaliana, LRs originate from a group of stem cells deep within the root, necessitating that new organs emerge through overlying root tissues.

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In 2001, the Society of Critical Care Medicine published practice model guidelines that focused on the delivery of critical care and the roles of different ICU team members. An exhaustive review of the additional literature published since the last guideline has demonstrated that both the structure and process of care in the ICU are important for achieving optimal patient outcomes. Since the publication of the original guideline, several authorities have recognized that improvements in the processes of care, ICU structure, and the use of quality improvement science methodologies can beneficially impact patient outcomes and reduce costs.

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Plant cell wall composition is important for regulating growth rates, especially in roots. However, neither analyses of cell wall composition nor transcriptomes on their own can comprehensively reveal which genes and processes are mediating growth and cell elongation rates. This study reveals the benefits of carrying out multiple analyses in combination.

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Plant biology has had longstanding successes from applying mathematical models to plant systems. Of the >160 models that have been developed to date, a closer study is made of crop models and more recent plant models. The latter focus on hormone response networks, metabolism, circadian clock, biomechanics of growth and new organ development.

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Root elongation and bending require the coordinated expansion of multiple cells of different types. These processes are regulated by the action of hormones that can target distinct cell layers. We use a mathematical model to characterise the influence of the biomechanical properties of individual cell walls on the properties of the whole tissue.

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Auxin is a key regulator of plant growth and development. Within the root tip, auxin distribution plays a crucial role specifying developmental zones and coordinating tropic responses. Determining how the organ-scale auxin pattern is regulated at the cellular scale is essential to understanding how these processes are controlled.

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Article Synopsis
  • ChIP-Seq is a technique used to identify genomic regions bound by transcription factors (TFs), but various software tools often struggle with false positives and lack experimental validation for their predictions.
  • A study compared the effectiveness of four computational models for predicting FoxA binding sites in mouse liver and human HepG2 cells, finding that traditional methods had a high false positive rate.
  • The best results for accurately identifying TF binding sites came from a combination of SiteGA and de novo motif discovery approaches, which successfully recognized up to 90% of the binding loci analyzed.*
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Article Synopsis
  • As multicellular organisms develop, they rely on positional information to correctly arrange cells, with Arabidopsis roots showing a radial symmetry disrupted by auxin and cytokinin signaling domains.
  • Bidirectional communication between the stele and surrounding tissues, involving the SHORT ROOT (SHR) transcription factor and microRNA species, plays a crucial role in vascular patterning, although the integration of these signals is still not fully understood.
  • Using a multicellular model, researchers identified essential components, including the interactions between auxin, cytokinin, SHR, and specific microRNAs, necessary for maintaining a stable vascular pattern, validated by experiments showing loss of symmetry in shr mutants.
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In the elongation zone of the Arabidopsis thaliana plant root, cells undergo rapid elongation, increasing their length by ∼10-fold over 5 h while maintaining a constant radius. Although progress is being made in understanding how this growth is regulated, little consideration has been given as to how cell elongation affects the distribution of the key regulating hormones. Using a multiscale mathematical model and measurements of growth dynamics, we investigate the distribution of the hormone gibberellin in the root elongation zone.

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Gravity profoundly influences plant growth and development. Plants respond to changes in orientation by using gravitropic responses to modify their growth. Cholodny and Went hypothesized over 80 years ago that plants bend in response to a gravity stimulus by generating a lateral gradient of a growth regulator at an organ's apex, later found to be auxin.

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Environmental mercury exposure of birds through atmospheric deposition and watershed point-source contamination is an issue of increasing concern globally. The saltmarsh sparrow (Ammodramus caudacutus) is of high conservation concern throughout its range and the potential threat of mercury exposure adds to other anthropogenic stressors, including sea level rise. To assess methylmercury exposure we sampled blood of the northern nominal subspecies of saltmarsh sparrows (A.

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Background: Microarrays are a powerful tool used for the determination of global RNA expression. There is an increasing requirement to focus on profiling gene expression in tissues where it is difficult to obtain large quantities of material, for example individual tissues within organs such as the root, or individual isolated cells. From such samples, it is difficult to produce the amount of RNA required for labelling and hybridisation in microarray experiments, thus a process of amplification is usually adopted.

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The modeling of genetic networks especially from microarray and related data has become an important aspect of the biosciences. This review takes a fresh look at a specific family of models used for constructing genetic networks, the so-called Boolean networks. The review outlines the various different types of Boolean network developed to date, from the original Random Boolean Network to the current Probabilistic Boolean Network.

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Seven sequence variants (SVs) have been identified in exon 1 and in the promoter region upstream of the bovine gonadotrophin releasing hormone (GnRH) receptor gene, at nucleotides g.-331A>G, g.-108T>C, g.

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Article Synopsis
  • Current methods for predicting transcription factor binding sites (TFBS) struggle with high false-positive rates because they mainly focus on core binding site sequence conservation.
  • This study evaluated various Position Weight Matrix (PWM) algorithms to enhance the accuracy of TFBS predictions, especially for important biological processes related to growth, inflammation, obesity, and cell cycle regulation.
  • The introduction of a new method called SiteGA, which considers structural interactions within the binding sites, demonstrated similar effectiveness to optimized PWMs, and the resulting recognition models can be accessed through a web tool for sequence analysis.
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