Differential Growth of and Nanoscale TiO2 Accumulation in Tetrahymena thermophila by Direct Feeding versus Trophic Transfer from Pseudomonas aeruginosa

Nanoscale titanium dioxide (TiO₂) is increasingly used in consumer goods and is entering waste streams, thereby exposing and potentially affecting environmental microbes. Protozoans could either take up TiO₂ directly from water and sediments or acquire TiO₂ during bactivory (ingestion of bacteria) of TiO₂-encrusted bacteria. Here, the route of exposure of the ciliated protozoan Tetrahymena thermophila to TiO₂ was varied and the growth of, and uptake and accumulation of TiO₂ by, T. thermophila were measured. While TiO₂ did not affect T. thermophila swimming or cellular morphology, direct TiO₂ exposure in rich growth medium resulted in a lower population yield. When TiO₂ exposure was by bactivory of Pseudomonas aeruginosa, the T. thermophila population yield and growth rate were lower than those that occurred during the bactivory of non-TiO₂-encrusted bacteria. Regardless of the feeding mode, T. thermophila cells internalized TiO₂ into their food vacuoles. Biomagnification of TiO₂ was not observed; this was attributed to the observation that TiO₂ appeared to be unable to cross the food vacuole membrane and enter the cytoplasm. Nevertheless, our findings imply that TiO₂ could be transferred into higher trophic levels within food webs and that the food web could be affected by the decreased growth rate and yield of organisms near the base of the web.     

Freshwater snail vital rates affected by non-lethal concentrations of silver nanoparticles

Freshwater gastropods are widespread and common members of benthic communities that interact with other species and conspecifics. Anthropogenic activities are increasing the presence of chemical contaminants in aquatic systems, which have the potential to disrupt species interactions through acute toxic effects and low-exposure chronic effects on vital rates and behaviors of organisms. We determined the effects of the commonly used manufactured nanomaterial, silver nanoparticles (AgNPs), on the survival, growth, reproduction, and behaviors of a common pulmonate gastropod, Physa acuta. Gastropod survival decreased in higher concentrations of AgNP (LC50 = 2.18 μg/l), but was enhanced when experimental containers included sediment (LC50 > 10 μg/l). Chronic exposures resulted in growth rates and size at first reproduction of snails declining in only the highest exposure concentration of 1 μg/l AgNP. Physa egg production was reduced by 50% when chronically exposed to 0.01 μg/l or greater AgNP. Physa crawled more rapidly when exposed to 0.01 μg/l AgNP and greater, indicating a stress response to higher AgNP concentrations. Physa exposed to 1 μg/l AgNP used near-surface habitats in a similar manner to those exposed to the threat of crayfish predation, indicating that the stress response to AgNP is similar in magnitude and direction to the threat of a predator. The sublethal effects reported here suggest that low but environmentally relevant concentrations of AgNP are likely to affect gastropod populations in many ways, potentially leading to measurable effects on communities and ecosystems.     

Nitrous oxide emissions during establishment of eight alternative cellulosic bioenergy cropping systems in the North Central United States

Greenhouse gas (GHG) emissions from soils are a key sustainability metric of cropping systems. During crop establishment, disruptive land‐use change is known to be a critical, but under reported period, for determining GHG emissions. We measured soil N₂O emissions and potential environmental drivers of these fluxes from a three‐year establishment‐phase bioenergy cropping systems experiment replicated in southcentral Wisconsin (ARL) and southwestern Michigan (KBS). Cropping systems treatments were annual monocultures (continuous corn, corn–soybean–canola rotation), perennial monocultures (switchgrass, miscanthus, and poplar), and perennial polycultures (native grass mixture, early successional community, and restored prairie) all grown using best management practices specific to the system. Cumulative three‐year N₂O emissions from annuals were 142% higher than from perennials, with fertilized perennials 190% higher than unfertilized perennials. Emissions ranged from 3.1 to 19.1 kg N₂O‐N ha^?1 yr^?1 for the annuals with continuous corn > corn–soybean–canola rotation and 1.1 to 6.3 kg N₂O‐N ha^?1 yr^?1 for perennials. Nitrous oxide peak fluxes typically were associated with precipitation events that closely followed fertilization. Bayesian modeling of N₂O fluxes based on measured environmental factors explained 33% of variability across all systems. Models trained on single systems performed well in most monocultures (e.g., R² = 0.52 for poplar) but notably worse in polycultures (e.g., R² = 0.17 for early successional, R² = 0.06 for restored prairie), indicating that simulation models that include N₂O emissions should be parameterized specific to particular plant communities. Our results indicate that perennial bioenergy crops in their establishment phase emit less N₂O than annual crops, especially when not fertilized. These findings should be considered further alongside yield and other metrics contributing to important ecosystem services.     

The Genetics of Leaf Flecking in Maize and Its Relationship to Plant Defense and Disease Resistance

Physiological leaf spotting, or flecking, is a mild-lesion phenotype observed on the leaves of several commonly used maize (Zea mays) inbred lines and has been anecdotally linked to enhanced broad-spectrum disease resistance. Flecking was assessed in the maize nested association mapping (NAM) population, comprising 4,998 recombinant inbred lines from 25 biparental families, and in an association population, comprising 279 diverse maize inbreds. Joint family linkage analysis was conducted with 7,386 markers in the NAM population. Genome-wide association tests were performed with 26.5 million single-nucleotide polymorphisms (SNPs) in the NAM population and with 246,497 SNPs in the association population, resulting in the identification of 18 and three loci associated with variation in flecking, respectively. Many of the candidate genes colocalizing with associated SNPs are similar to genes that function in plant defense response via cell wall modification, salicylic acid- and jasmonic acid-dependent pathways, redox homeostasis, stress response, and vesicle trafficking/remodeling. Significant positive correlations were found between increased flecking, stronger defense response, increased disease resistance, and increased pest resistance. A nonlinear relationship with total kernel weight also was observed whereby lines with relatively high levels of flecking had, on average, lower total kernel weight. We present evidence suggesting that mild flecking could be used as a selection criterion for breeding programs trying to incorporate broad-spectrum disease resistance.The plant hypersensitive response (HR) is a form of programmed cell death (PCD) characterized by rapid, localized cell death at the point of attempted pathogen penetration, usually resulting in disease resistance (Coll et al., 2011). It is often associated with other responses, including ion fluxes, an oxidative burst, lipid peroxidation, and cell wall fortification (Hammond-Kosack and Jones, 1996). van Doorn et al. (2011) suggested that HR is a type of PCD sharing features with, but distinct from, both vacuolar cell death and necrosis.HR has been associated with resistance to almost every class of pathogen and pest, including bacteria, viruses, fungi, nematodes, insects, and parasitic plants (Wu and Baldwin, 2010), and generally is most effective against biotrophic pathogens, since biotrophs require a long-term feeding relationship with living host cells. It is generally mediated by dominant resistance (R) genes whose activation is triggered by the direct or indirect detection of specific pathogen-derived effector proteins (Bent and Mackey, 2007). R proteins are maintained in their inactive state if their corresponding effector is not present. Mutants in which HR is constitutively active have been identified in many plant species, including maize/corn (Zea mays; Walbot et al., 1983; Johal, 2007), Arabidopsis (Arabidopsis thaliana; Lorrain et al., 2003), barley (Hordeum vulgare; Wolter et al., 1993), and rice (Oryza sativa; Yin et al., 2000).One well-known class of plant mutants spontaneously form lesions (patches of dead or chlorotic cells) in the absence of any obvious injury, stress, or infection to the plant. Since these lesions in some cases resemble HR, they have been termed disease-lesion mimics (Neuffer and Calvert, 1975). These mutants, which we will here collectively term Les mutants, have been studied extensively, especially in maize (Walbot et al., 1983; Johal et al., 1995; Johal, 2007) and Arabidopsis (Coll et al., 2011). While some of these lesion phenotypes are indeed caused by perturbations in the plant defense response (Hu et al., 1996; Rustérucci et al., 2001), some of the genes underlying this mutant class affect various other pathways that cause cell death if their function is perturbed (Johal, 2007). For instance, the Arabidopsis gene acd2 and the maize gene lls1 are defective in chlorophyll degradation (Gray et al., 1997; Mach et al., 2001).We have defined leaf flecking as the mild, genetically determined spotting observed on many maize inbred cultivars (Vontimitta et al., 2015; Fig. 1). The trait is qualitatively and visually similar to, but quantitatively less severe than, Les mutant phenotypes. The distinction between what constitutes a flecking versus a mild Les trait is necessarily somewhat arbitrary, but for our purposes, we have defined any nonproliferating and distinct leaf-spotting phenotype as flecking.Open in a separate windowFigure 1.A, Examples of variation in the flecking phenotype among inbred lines, with severity increasing from left to right (flecking scores in parentheses, from 0 to 4, scored on a scale of 1–10). B, Leaves of the lines nearly isogenic to inbred Mo20W, into which specific indicated dominant Les mutant genes have been introgressed (Rp1-D21 mutation in an H95 inbred background). Photographs were taken in Clayton, North Carolina, 12 weeks after planting. This figure is adapted from Figure 1 of Vontimitta et al. (2015).Leaf flecking is familiar to most corn breeders, appearing in such well-known and widely used lines such as Mo17 (Zehr et al., 1994) and in several other species such as barley (Makepeace et al., 2007), wheat (Triticum aestivum; Nair and Tomar, 2001), and oat (Avena sativa; Ferdinandsen and Winge, 1930). Flecking tends to be more noticeable in inbreds compared with their derived hybrids (M. Goodman and W. Dolezal, personal communication). Anecdotally, it is often thought to be indicative of a constitutive low-level defense response and as a marker for increased disease resistance.In previous work, we and others have defined the genetic architectures associated with resistance to several maize diseases, including southern leaf blight (SLB; causal agent, Cochliobolus heterostrophus), northern leaf blight (NLB; causal agent, Exserohilum turcicum), and gray leaf spot (GLS; causal agent, Cercospora zeae-maydis; Kump et al., 2011; Poland et al., 2011; Wisser et al., 2011; Benson et al., 2015), and with the control of the maize HR (Chintamanani et al., 2010; Chaikam et al., 2011; Olukolu et al., 2013). For much of this work, we used two powerful mapping populations: the maize association population (Flint-Garcia et al., 2005), a collection of 302 diverse inbred lines with low linkage disequilibrium, and the 5,000-line nested association mapping (NAM) population (McMullen et al., 2009), which is made up of 25 200-line recombinant inbred line (RIL) subpopulations derived from crosses between the common parent B73 and 25 diverse inbreds. Using these populations, it is possible to both sample a diverse array of germplasm and map quantitative trait loci (QTLs) precisely, in some cases to the gene level (Tian et al., 2011; Cook et al., 2012; Hung et al., 2012; Larsson et al., 2013; Olukolu et al., 2013; Wang and Balint-Kurti, 2016).A recent study using 300 lines from the maize intermated B73 × Mo17 population advanced intercross line mapping population identified low but moderately significant positive correlations between increased flecking and increased disease resistance and defense response (Vontimitta et al., 2015). Loci associated with variation in flecking were mapped, although these loci did not colocalize with QTLs identified previously for disease resistance and defense response traits (Balint-Kurti et al., 2007, 2008, 2010; Olukolu et al., 2013). In this study, we have extended this work to examine the genetic basis of leaf flecking over a much more diverse set of maize germplasm using a substantially larger population. We mapped loci associated with variation in leaf flecking and identified candidate genes and pathways that may be involved in this phenotype. Additionally, we have examined the correlations between leaf flecking and disease resistance, the hypersensitive defense response, and total kernel weight.     

A prospective observational cohort study in primary care practices to identify factors associated with treatment failure in <Emphasis Type="Italic">Staphylococcus aureus</Emphasis> skin and soft tissue infections

Background

The incidence of outpatient visits for skin and soft tissue infections (SSTIs) has substantially increased over the last decade. The emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has made the management of S. aureus SSTIs complex and challenging. The objective of this study was to identify risk factors contributing to treatment failures associated with community-associated S. aureus skin and soft tissue infections SSTIs.

Methods

This was a prospective, observational study among 14 primary care clinics within the South Texas Ambulatory Research Network. The primary outcome was treatment failure within 90 days of the initial visit. Univariate associations between the explanatory variables and treatment failure were examined. A generalized linear mixed-effect model was developed to identify independent risk factors associated with treatment failure.

Results

Overall, 21% (22/106) patients with S. aureus SSTIs experienced treatment failure. The occurrence of treatment failure was similar among patients with methicillin-resistant S. aureus and those with methicillin-susceptible S. aureus SSTIs (19 vs. 24%; p = 0.70). Independent predictors of treatment failure among cases with S. aureus SSTIs was a duration of infection of ≥7 days prior to initial visit [aOR, 6.02 (95% CI 1.74–19.61)] and a lesion diameter size ≥5 cm [5.25 (1.58–17.20)].

Conclusions

Predictors for treatment failure included a duration of infection for ≥7 days prior to the initial visit and a wound diameter of ≥5 cm. A heightened awareness of these risk factors could help direct targeted interventions in high-risk populations.

     

Monitoring population‐level responses of marine mammals to human activities

We provide guidance for monitoring whether human activities affect the physiology or behavior of marine mammals and, if so, whether those effects may lead to changes in survival and reproduction at the population level. We suggest that four elements be included in designing and implementing such a monitoring program. The first is development of a theory of change: a set of mechanistic hypotheses that outline why a given activity might be expected to have one or more measurable effects on individuals and populations, and ideally the magnitude, timing, and duration of the effects. The second element, definition of biologically meaningful effect sizes, ultimately facilitates the development of a monitoring program that can detect those magnitudes of effect with the desired levels of precision. The third element, selection of response variables for monitoring, allows inference to whether observed changes in the status of individuals or populations are attributable to a given activity. Visual observations, passive acoustic and tagging instruments, and direct physical measurements all can provide data that facilitate quantitative hypothesis testing. The fourth element is specification of the temporal sequence of monitoring. These elements also can be used to inform monitoring of the responses of other taxonomic groups to human activities.