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Organic photovoltaic cells are appealing as indoor illumination harvesters to drive off-grid electronics in the Internet of things. However, a desirable output power usually requires expansive and dark active layers to absorb sufficient incident photons. The deployment of such large-scale dark objects is detrimental to the elaborately designed indoor lighting environment and affects human visual perceptions. Here, we propose a free-contact strategy to adjust the chromaticity of the transmitted indoor light by applying one-dimensional photonic crystals. Combining photonic crystals with various transmittances outside the photovoltaic cells, the spectral power distribution of the transmitted light can be precisely manipulated to realize a broad and consecutive color modulation covering the region from blue to orange. For certain photonic crystals, the chromaticity of propagated light can be recovered close to the light source. This work presents a solution to relieve light-disturbing in the application of organic photovoltaic cells under indoor illuminations. [ABSTRACT FROM AUTHOR]

The gut microbiota plays a key role in host health, and disruptions to gut bacterial homeostasis can cause disease. However, the effect of disease on gut microbiota assembly remains unclear and gut microbiota-based predictions of health status is a promising yet poorly established field. Using Illumina high-throughput sequencing technology, we compared the gut microbiota between healthy (HA and HB) and diarrhoeic (DS) Rana dybowskii groups and analyzed the functional profiles through a phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis. In addition, we estimated the correlation between gut microbiota structures and predicted the functional compositions. The results showed significant differences in the phylogenetic diversity (Pd), Shannon, and observed richness (Sobs) indices between the DS and HB groups, with significant differences observed in the gut microbiota composition between the DS group and the HA and HB groups. Linear discriminant analysis (LDA) effect size (LEfSe) results revealed that Proteobacteria were significantly enriched in the DS group; Bacteroidetes were significantly enriched in the HA and HB groups; and Aeromonas , Citrobacter , Enterococcus , Hafnia-Obesumbacterium , Morganella , Lactococcus , Providencia , Vagococcus , and Staphylococcus were significantly enriched in the DS group. Venn diagrams revealed that there were many more unique genera in the DS group than the HA and HB groups. Among 102 sensitive species selected using the indicator method, 33 indicated a healthy status and 69 (e.g., Acinetobacter , Aeromonas , Legionella , Morganella , Proteus , Providencia , Staphylococcus , and Vagococcus) indicated a diseased status. There was a significant and positive association between the composition and functional composition of the gut microbiota, thus indicating low functional redundancy of the frog gut bacterial community. Rana dybowskii disease was associated with changes in the gut microbiota, which subsequently disrupted bacterial-mediated functions. The results of this study can aid in revealing the effect of the R. dybowskii gut microbiota on host health and provide a basis for elucidating the mechanism of the occurrence of R. dybowskii disease. [ABSTRACT FROM AUTHOR]

Symbiotic microbial communities are common in amphibians, and the composition of gut microbial communities varies with factors such as host phylogeny, life stage, ecology, and diet. However, little is known regarding how amphibians acquire their microbiota or how their growth, development, and environmental factors affect the diversity of their microbiotas. We sampled the gut microbiota during different developmental stages of brown frog Rana dybowskii , including tadpoles (T), frogs in metamorphosis (M), frogs just post-metamorphosis and after eating (F), juvenile frogs in summer (Js), adult frogs in summer (As), adult frogs in autumn (Aa), and hibernating frogs (Ah). We recorded data on the environmental (ambient temperature, fasting status, habitat, and season) and host (body mass and developmental period) factors. We investigated whether the gut microbiota diversity of R. dybowskii differs according to the host developmental stage via high-throughput Illumina sequencing and whether the gut microbiota diversity is affected by environmental and host factors. We found that alpha and beta diversity varied significantly during different developmental stages. The linear discriminant analysis effect size (LEfSe) analysis identified eight phyla exhibiting significant differences: Cyanobacteria (T group), Proteobacteria (M group), Fusobacteria (F group), Firmicutes (As group), Actinobacteria (Aa group), Verrucomicrobia (Aa group), Tenericutes (Aa group), and Bacteroidetes (Ah group). The Venn diagrams showed that 49 shared OTUs were present during all stages of development, whereas 10 OTUs were present in >90% of the samples. The environmental and host factors were significantly correlated with microbial community changes. Furthermore, the AIC-based model results suggested that development was the only variable that needed inclusion in the redundancy analysis (RDA) to explain the variance in taxa. These results have broad implications for our understanding of gut microbiota development and its associations with amphibian development and environmental factors. Unlabelled Image • Significant shifts in gut microbiota diversity occur during frog host development. • Ten core OTUs and 49 shared OTUs were present during all stages of development. • The host developmental stages were clustered into three enterotypes. • The temperature was significantly correlated with microbial community changes. • The habitats were significantly correlated with microbial community changes. [ABSTRACT FROM AUTHOR]

Rana amurensis and R. dybowskii occupy similar habitats. As temperatures decrease with the onset of winter, both species migrate to ponds for hibernation. Our goal was to determine whether different species possess different intestinal microbiota under natural winter fasting conditions. We used high-throughput Illumina sequencing of 16S rRNA gene sequences to analyse the diversity of intestinal microbes in the two species. The dominant gut bacterial phyla in both species were Bacteroidetes, Proteobacteria and Firmicutes. Linear discriminant analysis (LDA) effect size revealed significant enrichment of Proteobacteria in R. amurensis and Firmicutes in R. dybowskii. There were significant differences in the gut microbiota composition between the species. The core operational taxonomic unit numbers in R. amurensis and R. dybowskii shared by the two species were 106, 100 and 36. This study indicates that the intestinal bacterial communities of the two frog species are clearly different. Phylum-level analysis showed that R. amurensis was more abundant in Proteobacteria and Verrucomicrobia than R. dybowskii was This is the first study of the composition and diversity of the gut microbiota of these two species, providing important insights for future research on the gut microbiota and the role of these bacterial communities in frogs. [ABSTRACT FROM AUTHOR]

Season has been suggested to contribute to variation in the gut microbiota of animals. The complicated relationships between amphibians and their gut microbiota and how they change throughout the year require more research. Short-term and long-term hypothermic fasting of amphibians may affect gut microbiota differently; however, these changes have not been explored. In this study, the composition and characteristics of the gut microbiota of Rana amurensis and Rana dybowskii during summer, autumn (short-term fasting) and winter (long-term fasting) were studied by high-throughput Illumina sequencing. Both frog species had higher gut microbiota alpha diversity in summer than autumn and winter, but no significant variations between autumn and spring. The summer, autumn, and spring gut microbiotas of both species differed, as did the autumn and winter microbiomes. In summer, autumn and winter, the dominant phyla in the gut microbiota of both species were Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria. All animals have 10 OTUs (>90% of all 52 frogs). Both species had 23 OTUs (>90% of all 28 frogs) in winter, accounting for 47.49 ± 3.84% and 63.17 ± 3.69% of their relative abundance, respectively. PICRUSt2 analysis showed that the predominant functions of the gut microbiota in these two Rana were focused on carbohydrate metabolism, Global and overview maps, Glycan biosynthesis metabolism, membrane transport, and replication and repair, translation. The BugBase analysis estimated that among the seasons in the R. amurensis group, Facultatively_Anaerobic, Forms_Biofilms, Gram_Negative, Gram_Positive, Potentially_Pathogenic were significantly different. However, there was no difference for R. dybowskii . The research will reveal how the gut microbiota of amphibians adapts to environmental changes during hibernation, aid in the conservation of endangered amphibians, particularly those that hibernate, and advance microbiota research by elucidating the role of microbiota under various physiological states and environmental conditions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Tong, Dong, Xu, Hu, Guo, Han and Cui.)

Well-controlled development leads to uniform body size and a better growth rate; therefore, the ability to determine the growth rate of frogs and their period of sexual maturity is essential for producing healthy, high-quality descendant frogs. To establish a working model that can best predict the growth performance of frogs, the present study examined the growth of one-year-old and two-year-old brown frogs ( Rana dybowskii ) from metamorphosis to hibernation (18 weeks) and out-hibernation to hibernation (20 weeks) under the same environmental conditions. Brown frog growth was studied and mathematically modelled using various nonlinear, linear, and polynomial functions. The model input values were statistically evaluated using parameters such as the Akaike's information criterion. The body weight/size ratio ( K wl ) and Fulton's condition factor ( K ) were used to compare the weight and size of groups of frogs during the growth period. The results showed that the third- and fourth-order polynomial models provided the most consistent predictions of body weight for age 1 and age 2 brown frogs, respectively. Both the Gompertz and third-order polynomial models yielded similarly adequate results for the body size of age 1 brown frogs, while the Janoschek model produced a similarly adequate result for the body size of age 2 brown frogs. The Brody and Janoschek models yielded the highest and lowest estimates of asymptotic weight, respectively, for the body weights of all frogs. The K wl value of all frogs increased from 0.40 to 3.18. The K value of age 1 frogs decreased from 23.81 to 9.45 in the first four weeks. The K value of age 2 frogs remained close to 10. Graphically, a sigmoidal trend was observed for body weight and body size with increasing age. The results of this study will be useful not only for amphibian research but also for frog farming management strategies and decisions., Competing Interests: The authors declare that they have no competing interests.