A Novel Approach Utilizing Domain Adversarial Neural Networks for the Detection and Classification of Selective Sweeps.

The identification and classification of selective sweeps are of great significance for improving the understanding of biological evolution and exploring opportunities for precision medicine and genetic improvement. Here, a domain adaptation sweep detection and classification (DASDC) method is presented to balance the alignment of two domains and the classification performance through a domain-adversarial neural network and its adversarial learning modules. DASDC effectively addresses the issue of mismatch between training data and real genomic data in deep learning models, leading to a significant improvement in its generalization capability, prediction robustness, and accuracy. The DASDC method demonstrates improved identification performance compared to existing methods and excels in classification performance, particularly in scenarios where there is a mismatch between application data and training data. The successful implementation of DASDC in real data of three distinct species highlights its potential as a useful tool for identifying crucial functional genes and investigating adaptive evolutionary mechanisms, particularly with the increasing availability of genomic data.

AGIDB: a versatile database for genotype imputation and variant decoding across species.

The high cost of large-scale, high-coverage whole-genome sequencing has limited its application in genomics and genetics research. The common approach has been to impute whole-genome sequence variants obtained from a few individuals for a larger population of interest individually genotyped using SNP chip. An alternative involves low-coverage whole-genome sequencing (lcWGS) of all individuals in the larger population, followed by imputation to sequence resolution. To overcome limitations of processing lcWGS data and meeting specific genotype imputation requirements, we developed AGIDB (https://agidb.pro), a website comprising tools and database with an unprecedented sample size and comprehensive variant decoding for animals. AGIDB integrates whole-genome sequencing and chip data from 17 360 and 174 945 individuals, respectively, across 89 species to identify over one billion variants, totaling a massive 688.57 TB of processed data. AGIDB focuses on integrating multiple genotype imputation scenarios. It also provides user-friendly searching and data analysis modules that enable comprehensive annotation of genetic variants for specific populations. To meet a wide range of research requirements, AGIDB offers downloadable reference panels for each species in addition to its extensive dataset, variant decoding and utility tools. We hope that AGIDB will become a key foundational resource in genetics and breeding, providing robust support to researchers.

[Identification of Peripheral Blood GZMK + CD8 + T Cells As Biomarkers of Alzheimer's Disease Based on Single-Cell Transcriptome].

Objective: Based on single-cell RNA sequencing (scRNA-seq) to explore immune characteristics in the peripheral blood of patients with Alzheimer's disease (AD) as biomarkers. Methods: GSE168522, the scRNA-seq dataset of AD peripheral blood immune cells, was downloaded from the Gene Expression Omnibus (GEO) database and was analyzed in the RAD-Blood web server (http://www.bioinform.cn/RAD-Blood/). The changes in blood cell composition in AD patients were analyzed. The abnormal communications between different types of cells in AD patients were investigated by the CellChat R package. Results: There were two kinds of CD8 + T cells in the blood of AD patients and healthy individuals, one of which highly expressed granzyme K ( GZMK) (false discovery rate [FDR]<0.05), and the other highly expressed GZMA, GZMB, and GZMH (FDR<0.05). In the blood of AD patients, the content of GZMK + CD8 + T cells was increased by 32.9% ( P=5.15E-21), their interactions with other cell types were increased, and they might be associated with AD through the abnormal signal transduction of major histocompatibility complex class Ⅰ (MHC-Ⅰ). Erythrocyte provided the main ligands, that are, human leukocyte antigen (HLA) class Ⅰ molecules, including HLA- A, HLA- B, HLA- C, and HLA- E, for the abnormal MHC-Ⅰ signaling pathway of GZMK + CD8 + T cells. The RESISTIN signaling pathway was specifically enriched in the blood of AD patients. Conclusion: The increased content of peripheral blood GZMK + CD8 + T cells, the increased interaction between GZMK + CD8 + T cells and erythrocytes, and the enhanced RESISTIN pathway are potential blood biomarkers of AD.

The cause and effect of gut microbiota in development of inflammatory disorders of the breast.

BACKGROUND: Inflammatory disorders of the breast (IDB) damages the interests of women and children and hinders the progress of global health seriously. Several studies had offered clues between gut microbiota (GM) and inflammatory disorders of the breast (IDB). The gut-mammary gland axis also implied a possible contribution of the GM to IDB. However, the causality between them is still elusive. METHODS: The data of two-sample Mendelian randomization (MR) study related to the composition of GM (n = 18,340) and IDB (n = 177,446) were accessed from openly available genome-wide association studies (GWAS) database. As the major analytical method, inverse variance weighted (IVW) was introduced and several sensitive analytical methods were conducted to verify results. RESULTS: Inverse variance weighted revealed Eubacterium rectale group (OR = 1.87, 95% CI: 1.02-3.43, p = 4.20E-02), Olsenella (OR = 1.29, 95% CI: 1.02-1.64, p = 3.30E-02), Ruminiclostridium-6 (OR = 1.53, 95% CI: 1.08-2.14, p = 1.60E-02) had an anti-protective effect on IDB. Peptococcus (OR = 0.75, 95% CI: 0.60-0.94, p = 1.30E-02) had a protective effect on IDB. The results were credible through a series of test. CONCLUSIONS: We revealed causality between IDB and GM taxa, exactly including Ruminiclostridium-6, Eubacterium rectale group, Olsenella and Peptococcus. These genera may become novel biomarkers and supply new viewpoint for probiotic treatment. However, these findings warrant further test owing to the insufficient evidences.

The genomic characteristics affect phenotypic diversity from the perspective of genetic improvement of economic traits.

The genetic improvement of economic traits suggests that chicken is an excellent model for exploring the genetic changes and molecular mechanisms underlying phenotypic diversity and artificial selection. Here, the sequencing data including 477 samples from 25 breeds worldwide were used to reveal the genomic patterns of chicken domestication. We analyzed 7.4 Tb clean data with 14.8× per individual to identify 23,504,766 SNPs, 3,289,782 InDels, and 27,027 SVs. The diversity analysis indicates that high-intensity artificial selection would accelerate population differentiation. We also found that the human-driven traits are controlled by polygenes and major genes, such as the primary candidates SOX5 and IGF1 for body size, and NEDD4 for sperm storage capacity. Our findings provide an important reference for understanding how genomic patterns shape phenotypes in livestock.

Revealing the impacts on shaping scutate scales in goose skin.

Feather follicles and scales are two types of skin appendages distributed on different parts of avian skin. The morphogenesis and development of scales in waterfowl remain largely unknown. Here, we used H&E staining, ISH and RNA sequencing to reveal the morphological and molecular variations at the early development of scutate scales in goose shank skin. Transcriptome analysis produced 1824 differentially expressed genes (DEGs) regulating the induction of scales and further enriched gene function in cell adhesion and Wnt signaling pathway, etc. A total of 8 candidate genes (ALDOC, CSRP2, KRT15, KRT75, LGALS1, S100A6, OGN and SFRP2) were further detected by RT-qPCR to show upregulated (6 genes) and downregulated (2 genes) from pre-placodal to placode stage during the induction of goose scales. The localization of 7 candidate genes (ALDOC, CSRP2, CD109, KRT15, KRT75, S100A6, and OGN) by ISH suggests the potential roles for dermal and epidermal development during the induction of scutate scales. The dynamic molecular changes and specific gene expression patterns revealed in this report provide general knowledge of scale development in waterfowl as well as skin appendage diversity.

HOXC10 intronic duplication is associated with unsealed skull and crest in crested chicken with cerebral hernia.

The genetic basis and developmental mechanism of unsealed skull in crested chicken with cerebral hernia remain unclear. Here, a genomic region including six HOXC genes was mapped by bulked segregant analysis (BSA) in a crested chicken resource population. A 195-bp intronic tandem duplication was further confirmed in the HOXC10 gene. HOXC genes, particularly HOXC10, were expressed ectopically in fetal skin and meningeal tissues of crested chicken with cerebral hernia, indicating its impact on the cranial mesenchymal tissues that drive the development of scalp skin, frontal bone, and meninges. The restricted expansion of frontal bone progenitors labeled with anti-RUNX2 antibody in the supraorbital mesenchyme of the fetal head implied abnormal migration, which contributed to the formation of the unsealed skull. This study suggests that HOXC genes were potent drivers for the abnormalities of the head crest and unsealed skull observed in crested chicken with cerebral hernia.

Transcriptomic and metabolomic insights into the variety of sperm storage in oviduct of egg layers.

In birds, the sperm storage tubules (SST) are dispersed in uterovaginal junction (UVJ) and highly correlated with differential capacity of sperm storage (SS) in and among species with unspecified mechanisms. Here, the SS duration of 252 egg layer breeders was evaluated in 5 rounds with 3 phenotypic traits to screen high- and low-SS individuals, respectively, followed with transcriptome of UVJ tissues and metabolome of serum (high-SS vs. low-SS) to decipher the candidate genes and biochemical markers correlated with differential SS capacity. Histological characterization suggested slightly higher density of SST in UVJ (high-SS vs. low-SS). Transcriptome analyses identified 596 differentially expressed genes (336 upregulated vs. 260 downregulated), which were mainly enriched in gene ontology terms of homeostasis, steroid and lipid metabolism and hormone activity, and 12 significant pathways (P < 0.05) represented by calcium, steroid, and lipid metabolism. Immunohistochemical staining of GNAQ, ST6GAL1, ADFP, and PCNA showed similar distribution in UVJ tissues between 2 groups. Several candidates (HSD11B2, DIO2, AQP3, GNAQ, NANS, ST6GAL1) combined with 4 (11ß-prostaglandin F2α, prostaglandin B1, 7α-hydroxytestosterone, and N-acetylneuraminic acid) of 40 differential metabolites enriched in serum metabolome were considered as regulators and biomarkers of SS duration in egg layer breeders. The integrated transcriptome and metabolome analyses of chicken breeder hens will provide novel insights for exploration and improvement of differential SS capacity in birds.

Comparison of the abundance and community structure of ammonia oxidizing prokaryotes in rice rhizosphere under three different irrigation cultivation modes.

The abundance, diversity and community structure of ammonia oxidizing archaea (AOA) and bacteria (AOB) in rice rhizosphere soils under three different irrigation cultivated modes, named continuous irrigation mode (C), intermittent irrigation mode (I) and semi-arid mode (M), respectively, were investigated using amoA gene as a molecular biomarker. Clone libraries and quantitative polymerase chain reaction results indicated the highest number of archaeal amoA gene copy was detected in M cultivation mode, then in I and C, whereas, their order of amoA gene copy numbers were I > M > C for AOB, and those were obvious higher than in the bulk soil. The ratios of AOA/AOB were greater than 1 for all samples, suggested the predominance of AOA throughout the period of rice growth in the three different irrigation cultivation modes. Diversity index (SChao1 and Shannon H) have an obvious variation in three different irrigation cultivation modes. For AOA, SChao1 was highest in M and lowest in I mode, whereas, Shannon H was highest in M cultivation mode and lowest in C mode. For AOB, mode M exhibited the highest diversity index (SChao1 and Shannon H), while C showed the lowest highest diversity, suggested long-term water input (continuous mode) may decrease diversity of ammonia oxidizers, whereas mode M may be more appropriate for them. In addition, AOA sequences fall within Nitrososphaera, Nitrosopumilus and Nitrosotalea cluster with proportion of 89.38, 8.85 and 1.77 %, respectively. AOB gene sequences belonged to the Nitrosomonas and Nitrosospira genera with proportion of 90.97 and 9.03 %, respectively. In addition, the abundances, diversity and community structure had an obvious temporal variation in three developmental stages of rice, further suggested rice growth obviously affected the ammonia oxidizing prokaryotes in their rhizosphere soil.

A Comparison of Anammox Bacterial Abundance and Community Structures in Three Different Emerged Plants-Related Sediments.

Quantitative polymerase chain reaction (qPCR) assays and 16S rRNA gene clone libraries were used to document the abundance, diversity and community structure of anaerobic ammonia-oxidising (anammox) bacteria in the rhizosphere and non-rhizosphere sediments of three emergent macrophyte species (Iris pseudacorus, Thalia dealbata and Typha orientalis). The qPCR results confirmed the existence of anammox bacteria (AMX) with observed log number of gene copies per dry gram sediment ranging from 5.00 to 6.78. AMX was more abundant in T. orientalis-associated sediments than in the other two plant species. The I. pseudacorus- and T. orientalis-associated sediments had higher Shannon diversity values, indicating higher AMX diversity in these sediments. Based on the 16S rRNA gene, Candidatus 'Brocadia', Candidatus 'Kuenenia', Candidatus 'Jettenia' and new clusters were observed with the predominant Candidatus 'Kuenenia' cluster. The I. pseudacorus-associated sediments contained all the sequences of the C. 'Jettenia' cluster. Sequences obtained from T. orientalis-associated sediments contributed more than 90 % sequences in the new cluster, whereas none was found from I. pseudacorus. The new cluster was distantly related to known sequences; thus, this cluster was grouped outside the known clusters, indicating that the new cluster may be a new Planctomycetales genus. Further studies should be undertaken to confirm this finding.

[Spectral analysis of oxygen radical in a synergistic system of pulsed discharge plasma/TiO2].

Based on the synergistic effect of pulsed discharge plasma and titanium dioxide (TiO2) photocatalysis, a coupling system of pulsed discharge plasma/TiO2 was set up in the present paper, by using the ultraviolet radiation produced during the pulsed discharge process. TiO2 film immobilized on the glass beads was used as the photocatalyst in the synergistic system. In the research, the synergistic mechanism of pulsed discharge plasma and TiO2 photocatalysis was reviewed by the spectral diagnosis of oxygen radical (* O radical) produced in different reaction systems. The obtained results showed that the characteristic emission spectrum of * O radical could be observed at 777 nm and the corresponding transitions was 3p5 P --> 3s5 S. When air was used as bubbling gas, the relative emission intensity of * O radical recorded in the synergistic system was stronger than that in the plasma alone system, and the same result was also obtained when oxygen (O2) was used as bubbling gas. This result revealed that the photocatalytic activity of the immobilized TiO2 in the synergistic system could be induced by the ultraviolet radiation formed during the pulsed discharge process. In the systems of pulsed discharge plasma alone and pulsed discharge plasma combined with TiO2 photocatalysis, the relative emission intensity of * O radical in distilled water was stronger than that in phenol solutions. The results showed that * O radical was one of responsible radicals for phenol degradation in the pulsed discharge plasma alone system as well as the synergistic system.

Preparation, characterization and photocatalytic properties of Cu-loaded BiVO(4).

A series of Cu-loaded BiVO(4) (Cu-BiVO(4)) catalysts were prepared by impregnation method and characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), X-ray photoelectron spectroscopy (XPS), UV-vis diffuse reflectance spectroscopy (DRS) and special surface area. The photocatalytic activities of Cu-BiVO(4) catalysts for the degradation of methylene blue (MB) were found to depend largely on the Cu content and the calcination temperature. The optimum Cu loading and calcination temperature were found to be 5 at.% and 300 degrees C, respectively. The results of XPS and SEM analysis indicated that Cu, CuO in this case, was dispersed on the surface of BiVO(4). The results of DRS analysis showed that the Cu-BiVO(4) series catalysts had significant optical absorption in the visible region between 550 and 800 nm and found that the absorption intensity increased with the enhancement of Cu content. An efficient N-demethylation of MB using Cu-BiVO(4) catalyst (5 at.% Cu content) calcined at 300 degrees C was also observed.