Homoploid hybrid speciation in a rare endemic Castilleja from Idaho (Castilleja christii,Orobanchaceae)

• Premise of the study: Hybridization is an important evolutionary force in the history of angiosperms; however, there are few examples of stabilized species derived through homoploid hybrid speciation. Homoploid hybrid species are generally detected via the presence of genetic additivity of parental markers, novel ecological and spatial distinctions, and novel morphological traits, all of which may aid in the successful establishment of hybrid species from parental types. Speciation and diversification within the genus Castilleja (Orobanchaceae) has been attributed to high levels of hybridization and polyploidy, though currently there are no examples of homoploid hybrid speciation within the genus. We employed multiple lines of evidence to examine a putative hybrid origin in C. christii, a rare endemic, known only from 80 hectares at the summit of Mt. Harrison (Cassia Co., Idaho). • Methods: We used granule-bound starch synthase II (waxy) sequences and 26 morphological characters to address hybridization between C. christii and widespread congeners C. miniata and/or C. linariifolia in an area of sympatry. Chromosomes of C. christii were also counted for the first time. • Key results: All 230 direct-sequenced C. christii individuals had the additive genomes of both C. miniata and C. linariifolia. Castilleja christii shares traits with both parents but also has floral characters that are unique and transgressive. Cytological counts indicated that all three taxa are diploid. • Conclusions: We conclude that C. christii is a stabilized homoploid hybrid derivative of C. linariifolia and C. miniata and is likely following an independent evolutionary trajectory from its progenitors.     

Diverse water quality responses to extreme climate events: an introduction

We synthesize and summarize main findings from a special issue examining the origins, evolution, and resilience of diverse water quality responses to extreme climate events resulting from a Chapman Conference of the American Geophysical Union (AGU). Origins refer to sequences of interactive disturbances and antecedent conditions that influence diversification of water quality responses to extreme events. Evolution refers to the amplification, intensification, and persistence of water quality signals across space and time in watersheds. Resilience refers to strategies for managing and minimizing extreme water quality impacts and ecosystem recovery. The contributions of this special issue, taken together, highlight the following: (1) there is diversification in the origins of water quality responses to extreme climate events based on the intensity, duration, and magnitude of the event mediated by previous historical conditions; (2) interactions between climate variability and watershed disturbances (e.g., channelization of river networks, land use change, and deforestation) amplify water quality ‘pulses,’ which can manifest as large changes in chemical concentrations and fluxes over relatively short time periods. In the context of the evolution of water quality responses, results highlight: (3) there are high intensity and long-term climate events, which can generate unique sequences in water quality, which have differential impacts on persistence of water quality problems and ecosystem recovery rates; and (4) ‘chemical cocktails’ or novel mixtures of elements and compounds are transported and transformed during extreme climate events. The main findings regarding resilience to extreme climate events are that: (5) river restoration strategies for reducing pollution from extreme events can be improved by preserving and restoring floodplains, wetlands, and oxbow ponds, which enhance hydrologic and biogeochemical retention, and lengthen the distribution of hydrologic residence times; and (6) the biogeochemical capacity for stream and river ecosystems to retain and transform pollution from landscapes can become “saturated” during floods unless watershed pollution sources are reduced. Finally, the unpredictable occurrence of extreme climate events argues for wider deployment of high-frequency, in situ sensors for monitoring, managing, and modeling diverse water quality responses. These sensors can be used to develop robust proxies for chemical cocktails, detect water quality violations following extreme climate events, and effectively trace the trajectory of water quality recovery in response to managing ecosystem resilience.     

Restored floodplains enhance denitrification compared to naturalized floodplains in agricultural streams

Predicted changes in the timing and magnitude of storms have the potential to amplify water quality challenges associated with agricultural runoff. In agricultural streams of the Midwestern US, floodplain restoration has the potential to enhance inorganic nitrogen (N) removal by increasing the bioreactive surface area for microbially-mediated denitrification. The restoration of inset floodplains via construction of the two-stage ditch increases denitrification compared to channelized systems, however, little is known about how denitrification on restored floodplains compares to those formed naturally when stream channel management lapses. We used sacrificial microcosm incubations and membrane-inlet mass spectrometry (MIMS) to compare denitrification rates in floodplain soils collected along transects in both naturalized and restored floodplains; longitudinal transects spanned two zones in the active floodplain (near-stream, NS vs. middle, MID) and a third zone that reflected upland conditions in the riparian buffer strip (UP). Denitrification rates were 35–49% higher in the restored, inset floodplains compared to naturalized floodplains. Variation in denitrification rates were primarily explained by soil organic matter (OM) and OM was > 20% higher in restored floodplains than naturalized, highlighting the contrasts between stable, constructed floodplains with heterogeneous, depositional bars typical of naturalizing channels. Consequently, restored inset floodplains could remove > 70% more N than the naturalized floodplains during similar storm inundation events.     

Combining allele frequency and tree‐based approaches improves phylogeographic inference from natural history collections

Model selection approaches in phylogeography have allowed researchers to evaluate the support for competing demographic histories, which provides a mode of inference and a measure of uncertainty in understanding climatic and spatial influences on intraspecific diversity. Here, to rank all models in the comparison set and determine what proportion of the total support the top‐ranked model garners, we conduct model selection using two analytical approaches—allele frequency‐based, implemented in fastsimcoal2 , and gene tree‐based, implemented in phrapl . We then expand this model selection framework by including an assessment of absolute fit of the models to the data. For this, we utilize DNA isolated from existing natural history collections that span the distribution of red alder (Alnus rubra) in the Pacific Northwest of North America to generate genomic data for the evaluation of 13 demographic scenarios. The quality of DNA recovered from herbarium specimen leaf tissue was assessed for its utility and effectiveness in demographic model selection, specifically in the two approaches mentioned. We present strong support for the use of herbarium tissue in the generation of genomic DNA, albeit with the inclusion of additional quality control checks prior to library preparation and analyses with multiple approaches that incorporate various data. Analyses with allele frequency spectra and gene trees predominantly support A. rubra having experienced an ancient vicariance event with intermittent and frequent gene flow between the disjunct populations. Additionally, the data consistently fit the most frequently selected model, corroborating the model selection techniques. Finally, these results suggest that the A. rubra disjunct populations do not represent separate species.     

<Superscript>15</Superscript>N photo-CIDNP MAS NMR analysis of reaction centers of <Emphasis Type="Italic">Chloracidobacterium thermophilum</Emphasis>

Photochemically induced dynamic nuclear polarization (photo-CIDNP) has been observed in the homodimeric, type-1 photochemical reaction centers (RCs) of the acidobacterium, Chloracidobacterium (Cab.) thermophilum, by ¹⁵N magic-angle spinning (MAS) solid-state NMR under continuous white-light illumination. Three light-induced emissive (negative) signals are detected. In the RCs of Cab. thermophilum, three types of (bacterio)chlorophylls have previously been identified: bacteriochlorophyll a (BChl a), chlorophyll a (Chl a), and Zn-bacteriochlorophyll a′ (Zn-BChl a′) (Tsukatani et al. in J Biol Chem 287:5720–5732, 2012). Based upon experimental and quantum chemical ¹⁵N NMR data, we assign the observed signals to a Chl a cofactor. We exclude Zn-BChl because of its measured spectroscopic properties. We conclude that Chl a is the primary electron acceptor, which implies that the primary donor is most likely Zn-BChl a′. Chl a and 8¹-OH Chl a have been shown to be the primary electron acceptors in green sulfur bacteria and heliobacteria, respectively, and thus a Chl a molecule serves this role in all known homodimeric type-1 RCs.     

Detection of virulence and pathogenicity genes in selected phytopathovars

Plant pathogenic organisms are known to infect host cell using various range of secretory proteins. Amongst all other secretion systems, type III secretion system (T3SS) is a key mechanism for bacterial pathogenesis for establishing and maintaining infection into the host. Expression levels of seven genes viz. avrXacE1, avrXacE2, hpaA and hrpG along with bacterial endogenous control lrp (leucine-responsive protein) were studied. The pathogenic organisms selected for the present study includes Enterobacter cloacae, Enterobacter spp., Pantoea ananatis, Xanthomonas campestris pv. Citri, Pantoea agglomerans, Ochrobactrum anthropi and Erwinia chrysanthemi. P. agglomerans and Enterobacter spp. gave high expression of above-mentioned virulence genes compared to Xanthomonas, while E. cloacae and P. ananatis showed similar expression with that of Xanthomonas. The detailed relationship of the expression profiles with respect to the selected organisms is discussed.     

Demographic model selection using random forests and the site frequency spectrum

Phylogeographic data sets have grown from tens to thousands of loci in recent years, but extant statistical methods do not take full advantage of these large data sets. For example, approximate Bayesian computation (ABC) is a commonly used method for the explicit comparison of alternate demographic histories, but it is limited by the “curse of dimensionality” and issues related to the simulation and summarization of data when applied to next‐generation sequencing (NGS) data sets. We implement here several improvements to overcome these difficulties. We use a Random Forest (RF) classifier for model selection to circumvent the curse of dimensionality and apply a binned representation of the multidimensional site frequency spectrum (mSFS) to address issues related to the simulation and summarization of large SNP data sets. We evaluate the performance of these improvements using simulation and find low overall error rates (~7%). We then apply the approach to data from Haplotrema vancouverense, a land snail endemic to the Pacific Northwest of North America. Fifteen demographic models were compared, and our results support a model of recent dispersal from coastal to inland rainforests. Our results demonstrate that binning is an effective strategy for the construction of a mSFS and imply that the statistical power of RF when applied to demographic model selection is at least comparable to traditional ABC algorithms. Importantly, by combining these strategies, large sets of models with differing numbers of populations can be evaluated.     

Bioisosteric replacement of dihydropyrazole of 4S-(-)-3-(4-chlorophenyl)-N-methyl-N'-[(4-chlorophenyl)-sulfonyl]-4-phenyl-4,5-dihydro-1H-pyrazole-1-caboxamidine (SLV-319) a potent CB1 receptor antagonist by imidazole and oxazole

Design, synthesis and conformational analysis of few imidazole and oxazole as bioisosters of 4S-(-)-3-(4-chlorophenyl)-N-methyl-N'-[(4-chlorophenyl)-sulfonyl]-4-phenyl-4,5-dihydro-1H-pyrazole-1-caboxamidine (SLV-319) 2 is reported. Computer assisted conformational analysis gave a direct clue for the loss of CB1 antagonistic activity of the ligands without a fine docking simulation for the homology model.     

Resveratrol induces catalytic bioscavenger paraoxonase 1 expression and protects against chemical warfare nerve agent toxicity in human cell lines

Current advances in enzyme bioscavenger prophylactic therapy against chemical warfare nerve agent (CWNA) exposure are moving towards the identification of catalytic bioscavengers that can degrade large doses of organophosphate (OP) nerve agents without self destruction. This is a preferred method compared to therapy with the purified stoichiometric bioscavenger, butyrylcholinesterase, which binds OPs 1:1 and would thus require larger doses for treatment. Paraoxonase-1 (PON-1) is one such catalytic bioscavenger that has been shown to hydrolyze OP insecticides and contribute to detoxification in animals and humans. Here we investigated the effects of a common red wine ingredient, Resveratrol (RSV), to induce the expression of PON-1 in the human hepatic cell line HC04 and evaluated the protection against CWNA simulants. Dose-response curves showed that a concentration of 20 microM RSV was optimal in inducing PON-1 expression in HC04 cells. RSV at 20 microM increased the extracellular PON-1 activity approximately 150% without significantly affecting the cells. Higher doses of RSV were cytotoxic to the cells. Resveratrol also induced PON-1 in the human lung cell line A549. RSV pre-treatment significantly (P = 0.05) protected the hepatic cells against exposure to 2x LD(50) of soman and sarin simulants. However, lung cells were protected against soman simulant exposure but not against sarin simulant exposure following RSV treatment. In conclusion, these studies indicate that dietary inducers, such as RSV, can up-regulate PON-1, a catalytic bioscavenger, which can then hydrolyze and protect against CWNA-induced toxicity, providing a prospective new method to protect against CWNA exposure.     

Dermal gland secretion improves the heat tolerance of the brown dog tick, Rhipicephalus sanguineus, allowing for their prolonged exposure to host body temperature

Dermal glands (sensilla sagittiformia) secrete when brown dog ticks, Rhipicephalus sanguineus, are mechanically disturbed, presumably as a defensive mechanism. Recently, we observed that these glands secrete due to the pressure stimulation of engorgement. In this study, we examine how dermal gland secretion alters the physiology of R. sanguineus, particularly if this secretion is an important mechanism during blood feeding. The ability of ticks to retain water was not modified by dermal gland secretion, but heat tolerance was enhanced. Short-term heat shock was improved slightly (1 h at 50 °C to 1 h at 56 °C) and featured reduced injury responses and greater recovery after heat shock. When exposed to their host body temperature (37 °C) for prolonged periods, individuals that had secreted survived over 1 week longer than individuals that did not secrete. Dorsal application of squalene, the main component of dermal gland secretion, did not increase temperature tolerance, suggesting that the act of secreting rather than the physical properties of the secretion itself is responsible for the increase in heat tolerance. Based on our results, dermal gland secretion may be an essential mechanism in certain tick species (Amblyomma, Dermacentor, Hyalomma, Rhipicephalus, but not Ixodes) for tolerating body temperature and not succumbing to heat stress during the extended time periods of feeding on a mammalian host, serving as a mechanism to prevent heat damage from the host during feeding.