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Objective: This study aimed to investigate the effect of Antarctic krill oil on zebrafish model of depression. Methods: The zebrafish (Danio rerio) model of depression was induced by 40 mg/L reserpine, and five groups, i.e., blank control group, model group, fluoxetine group, low-dose krill oil group and high-dose krill oil group were investigated and compared, buy using new tank test (NTT) and light dark box test (LDB). The central nervous system serotonin (5-HT), dopamine (DA), monoamine oxidase A (MAO-A) Interleukin-6 (IL-6), tumor necrosis factor α (TNF-α) and systemic cortisol (COR) levels of the five groups were analyzed. Results: Reserpine 40 mg/L caused depressive behavior in zebrafish, while the addition of prawn oil reduced the this behavior, by increasing the levels of monoamine neurotransmitters including 5-HT and DA in the brain and decreasing the levels of MAO-A, IL-6 and TNF-α proinflammatory factors and systemic COR levels. Conclusion: Antarctic krill oil can improve the depression of zebrafish by reducing neuroinflammation and regulating neuroendocrine.

Rhododendron is the largest genus in Ericaceae and is well known for its diversity and beauty of flowers present in different species, making it a much‐revered lineage of ornamental plants. Many species of Rhododendron are intolerant of high temperatures, which are becoming more common and intense in urban areas under global climate change. Therefore, the discovery and description of genes from heat‐tolerant Rhododendron lineages are essential in the development of new climate‐resilient cultivars. One such species known to be heat tolerant is Rhododendron × pulchrum Sweet. To better understand the genomics of heat tolerance in this species, we assembled a haplotype‐resolved and chromosome‐scale genome for R. × pulchrum, which had a genome size of 509 Mb; a scaffold N50 of 37 251 370 bp; and contained 35 610 genes. In addition, based on the same reannotation pipeline, we conducted pan‐genomic analyses for all seven available chromosome‐scale Rhododendron genomes and found 14 415 gene groups shared across all species and 18 018 gene groups distributed in the other species, including 1879 gene groups found in only a single species. Finally, we analyzed the transcriptomic data from heat‐treated and non‐heat‐treated R. × pulchrum plants to quantify the genes that are most important during heat stress in an effort to inform the development of climate‐resilient cultivars. This study provides insight into the genome diversity in Rhododendron and targets several genes related to agronomic traits that may help in further analysis. [ABSTRACT FROM AUTHOR]

Data-driven learning of the fractional discrete-time unified system is studied in this paper. A neural network method is suggested in the parameter estimation of fractional discrete-time chaotic systems. An optimization problem is obtained and the famous Adam algorithm is employed to train the neural network's weights and parameters. The parameter estimation result is compared with that of the stepwise response sensitivity approach (SRSA). This paper provides a high accuracy method for parameter inverse problems. The method also can be applied to data-driven learning of other fractional chaotic systems. [ABSTRACT FROM AUTHOR]

Objective: A highly active and stable composite photocatalyst which can be used in practical environmental remediation was developed. Methods: g‐C3N4/SnO2/BiPO4 ternary composites (CN/SO/BPO) were synthesised via simple impregnation, and their texture structure, morphology, and surface composition were deeply characterized. Results: In just 25 min under visible‐light radiation, CN/SO/BPO almost eliminated rhodamine B, and the observed rate constant for the reaction was almost 36 and 3 times higher in comparison to that of CN/BPO and SO/BPO, respectively. Conclusions: On the basis of experimental outcomes and DFT calculation, the direct Z‐type structure of CN/SO/BPO lead to the improved photogenerated charge separation efficiency, as confirmed by surface photovoltage spectroscopy, electrochemical impedance spectroscopy, and transient photocurrent responses. [ABSTRACT FROM AUTHOR]

Identifying the factors that cause reproductive isolation and their relative importance in species divergence is crucial to our understanding of speciation processes. In most species, natural selection is commonly considered to play a large role in driving speciation. Based on whole genome re‐sequencing data from 27 Populus alba and 28 Populus adenopoda individuals, we explored the factors related to reproductive isolation of these two closely related species. The results showed that the two species diverged ~5–10 million years ago (Ma), when the Qinghai–Tibet Plateau reached a certain height and the inland climate of the Asian continent became arid. In highly differentiated genomic regions, the relative divergence (FST) and absolute divergence (dxy) were significantly higher than the genomic background, θπ and shared polymorphisms decreased whereas fixed differences increased, which indicated that natural selection played a key role in the reproductive isolation of the two species. In addition, we found several genes that were related to reproduction that may be involved in explaining the reproductive isolation. Using phylogenetic trees resolved from haplotype data of Populus tomentosa and P. adenopoda, the maternal origin of P. tomentosa from P. adenopoda was likely to be located in Hubei and Chongqing Provinces. [ABSTRACT FROM AUTHOR]