Experimental and Natural Infections of Goats with Severe Fever with Thrombocytopenia Syndrome Virus: Evidence for Ticks as Viral Vector

Background

Severe fever with thrombocytopenia syndrome virus (SFTSV), the causative agent for the fatal life-threatening infectious disease, severe fever with thrombocytopenia syndrome (SFTS), was first identified in the central and eastern regions of China. Although the viral RNA was detected in free-living and parasitic ticks, the vector for SFTSV remains unsettled.

Methodology/Principal Findings

Firstly, an experimental infection study in goats was conducted in a bio-safety level-2 (BSL-2) facility to investigate virus transmission between animals. The results showed that infected animals did not shed virus to the outside through respiratory or digestive tract route, and the control animals did not get infected. Then, a natural infection study was carried out in the SFTSV endemic region. A cohort of naïve goats was used as sentinel animals in the study site. A variety of daily samples including goat sera, ticks and mosquitoes were collected for viral RNA and antibody (from serum only) detection, and virus isolation. We detected viral RNA from free-living and parasitic ticks rather than mosquitoes, and from goats after ticks’ infestation. We also observed sero-conversion in all members of the animal cohort subsequently. The S segment sequences of the two recovered viral isolates from one infected goat and its parasitic ticks showed a 100% homology at the nucleic acid level.

Conclusions/Significance

In our natural infection study, close contact between goats does not appear to transmit SFTSV, however, the naïve animals were infected after ticks’ infestation and two viral isolates derived from an infected goat and its parasitic ticks shared 100% of sequence identity. These data demonstrate that the etiologic agent for goat cohort’s natural infection comes from environmental factors. Of these, ticks, especially the predominant species Haemaphysalis longicornis, probably act as vector for this pathogen. The findings in this study may help local health authorities formulate and focus preventive measures to contain this infection.     

Phylogeny of Morella rubra and Its Relatives (Myricaceae) and Genetic Resources of Chinese Bayberry Using RAD Sequencing

Phylogenetic relationships among Chinese species of Morella (Myricaceae) are unresolved. Here, we use restriction site-associated DNA sequencing (RAD-seq) to identify candidate loci that will help in determining phylogenetic relationships among Morella rubra, M. adenophora, M. nana and M. esculenta. Three methods for inferring phylogeny, maximum parsimony (MP), maximum likelihood (ML) and Bayesian concordance, were applied to data sets including as many as 4253 RAD loci with 8360 parsimony informative variable sites. All three methods significantly favored the topology of (((M. rubra, M. adenophora), M. nana), M. esculenta). Two species from North America (M. cerifera and M. pensylvanica) were placed as sister to the four Chinese species. According to BEAST analysis, we deduced speciation of M. rubra to be at about the Miocene-Pliocene boundary (5.28 Ma). Intraspecific divergence in M. rubra occurred in the late Pliocene (3.39 Ma). From pooled data, we assembled 29378, 21902 and 23552 de novo contigs with an average length of 229, 234 and 234 bp for M. rubra, M. nana and M. esculenta respectively. The contigs were used to investigate functional classification of RAD tags in a BLASTX search. Additionally, we identified 3808 unlinked SNP sites across the four populations of M. rubra and discovered genes associated with fruit ripening and senescence, fruit quality and disease/defense metabolism based on KEGG database.     

Enhanced Production of Androst-1,4-Diene-3,17-Dione by Mycobacterium neoaurum JC-12 Using Three-Stage Fermentation Strategy

To improve the androst-1,4-diene-3,17-dione (ADD) production from phytosterol by Mycobacterium neoaurum JC-12, fructose was firstly found favorable as the initial carbon source to increase the biomass and eliminate the lag phase of M. neoaurum JC-12 in the phytosterol transformation process. Based on this phenomenon, two-stage fermentation by using fructose as the initial carbon source and feeding glucose to maintain strain metabolism was designed. By applying this strategy, the fermentation duration was decreased from 168 h to 120 h with the ADD productivity increased from 0.071 g/(L·h) to 0.108 g/(L·h). Further, three-stage fermentation by adding phytosterol to improve ADD production at the end of the two-stage fermentation was carried out and the final ADD production reached 18.6 g/L, which is the highest reported ADD production using phytosterol as substrate. Thus, this strategy provides a possible way in enhancing the ADD production in pharmaceutical industry.     

Microbes are not bound by sociobiology: Response to Kümmerli and Ross‐Gillespie (2013)

In recent years, sociobiology has been extended to microorganisms. Viewed through this lens, the microbial world is replete with cooperative behaviors. However, little attention has been paid to alternate hypotheses, making many studies self‐confirming. Somewhat apart is a recent analysis of pyoverdin production—a paradigmatic public good and social trait—by Pseudomonas, which has revealed discord between predictions arising from sociobiology and the biology of microbes. This led the authors, Zhang and Rainey (Z&R), to question the generality of the conclusion that pyoverdin is a social trait, and to question the fit between the sociobiology framework and microbiology. This has unsettled Kümmerli and Ross‐Gillespie (K&R), who in a recent “Technical Comment” assert that arguments presented by Z&R are flawed, their experiments technically mistaken, and their understanding of social evolution theory naive. We demonstrate these claims to be without substance and show the conclusions of K&R to be based on a lack of understanding of redox chemistry and on misinterpretation of data. We also point to evidence of cherry‐picking and raise the possibility of confirmation bias. Finally, we emphasize that the sociobiology framework applied to microbes is a hypothesis that requires rigorous and careful appraisal.     

CaMKIIα interacts with M4 muscarinic receptors to control receptor and psychomotor function

Muscarinic acetylcholine receptors (mAChRs) are widely expressed in the mammalian brain and are essential for neuronal functions. These receptors are believed to be actively regulated by intracellular signals, although the underlying mechanisms are largely unknown. In this study, we show that Ca²⁺/calmodulin‐dependent protein kinase II (CaMKII) binds directly and selectively to one of five mAChR subtypes, M4 receptors (M4Rs), at their C‐terminal regions of second intracellular loops. This binding relies on Ca²⁺ activation of the kinase and leads to the phosphorylation of M4Rs at a specific threonine site (Thr145). Complementary in vivo studies in rat striatal neurons enriched with M4Rs confirm that rising Ca²⁺ recruits CaMKIIα to M4Rs to potentiate receptor signalling, which controls behavioural sensitivity to dopamine stimulation in an activity‐dependent manner. Our data identify a new model of protein–protein interactions. In a Ca²⁺‐sensitive manner, CaMKIIα regulates M4R efficacy and controls the acetylcholine–dopamine balance in the basal ganglia and also the dynamics of movement.     

Metabolic alterations of impaired fasting glucose by GC/MS based plasma metabolic profiling combined with chemometrics

In this paper, a new strategy for processing GC/MS based metabolic profiling data via multivariate methods was proposed, which is applied to a small pilot study of impaired fasting glucose. The data obtained from plasma samples of impaired fasting glucose patients and healthy controls were first treated by principal component analysis and partial least squares-discriminant analysis to explore the differences and discriminators of the two groups. Subsequently, correlation analyses were employed to examine the relationships between blood glucose and the discriminators or their linear combination, thus may be considered as potential biomarkers of impaired fasting glucose. The results showed that the metabolic patterns of the two groups were different. Furthermore, eleven metabolites were screened as discriminators. Levels of nine of the eleven discriminators, say lactate, 2-ketoisocaproic acid, alanine, α-hydroxyisobutyric acid, urea, phosphoric acid, α-glycerophosphoric acid, palmitic acid and stearic acid, were found to be significantly higher in impaired fasting glucose patients, while 1-monopalmitin and 1-monostearin showed the opposite trend. Correlation analysis indicated that 2-ketoisocaproic acid, stearic acid were positively, while 1-monopalmitin and 1-monostearin were negatively correlated with blood glucose. Moreover, blood glucose correlated well with the linear combination of the eleven discriminators by canonical correlation analysis. The results have demonstrated that 2-ketoisocaproic acid, stearic acid and the linear combination of the eleven discriminators may be considered as the potential biomarkers of impaired fasting glucose and the proposed method may be useful in a larger study for exploring the metabolic alterations and biomarker candidates of diseases.