Understanding the Early Evolutionary Stages of a Tandem Drosophilamelanogaster-Specific Gene Family: A Structural and Functional Population Study

Gene families underlie genetic innovation and phenotypic diversification. However, our understanding of the early genomic and functional evolution of tandemly arranged gene families remains incomplete as paralog sequence similarity hinders their accurate characterization. The Drosophila melanogaster-specific gene family Sdic is tandemly repeated and impacts sperm competition. We scrutinized Sdic in 20 geographically diverse populations using reference-quality genome assemblies, read-depth methodologies, and qPCR, finding that ∼90% of the individuals harbor 3-7 copies as well as evidence of population differentiation. In strains with reliable gene annotations, copy number variation (CNV) and differential transposable element insertions distinguish one structurally distinct version of the Sdic region per strain. All 31 annotated copies featured protein-coding potential and, based on the protein variant encoded, were categorized into 13 paratypes differing in their 3′ ends, with 3-5 paratypes coexisting in any strain examined. Despite widespread gene conversion, the only copy present in all strains has functionally diverged at both coding and regulatory levels under positive selection. Contrary to artificial tandem duplications of the Sdic region that resulted in increased male expression, CNV in cosmopolitan strains did not correlate with expression levels, likely as a result of differential genome modifier composition. Duplicating the region did not enhance sperm competitiveness, suggesting a fitness cost at high expression levels or a plateau effect. Beyond facilitating a minimally optimal expression level, Sdic CNV acts as a catalyst of protein and regulatory diversity, showcasing a possible evolutionary path recently formed tandem multigene families can follow toward long-term consolidation in eukaryotic genomes

RNA-seq profiles from grass carp tissues after reovirus (GCRV) infection based on singular and modular enrichment analyses

Hemorrhagic disease of the grass carp, Ctenopharyngodon idella, is a fatal disease in fingerlings and yearlings caused by a reovirus, GCRV. RNA-seq data from four diseased grass carp tissues (gill, intestine, liver and spleen) were obtained at 2 h before and six times after (2 h, 24 h, 48 h, 72 h, 96 h and 120 h) GCRV challenge. A total of 7.25 +/- 0.18 million (M) clean reads and 3.53 +/- 0.37 M unique reads were obtained per RNA-seq analysis. Compared with controls, there were 9060 unique differentially expressed genes (DEGs) in the four tissues at the six time points post-GCRV challenge. Hierarchical clustering analysis of the DEGs showed that the data from the six time points fell into three branches: 2 h, 24 h/48 h, and 72 h/96 h/120 h. Singular (SEA) and modular enrichment analyses of DEGs per RNA-seq dataset were performed based on gene ontology. The results showed that immune responses occurred in all four tissues, indicating that GCRV probably does not target any tissue specifically. Moreover, during the course of disease, disturbances were observed in lipid and carbohydrate metabolism in each of the organs. SEA of DEGs based on the Kyoto Encyclopedia of Genes and Genomes database was also performed, and this indicated that the complement system and cellular immunity played an important role during the course of hemorrhagic disease. The qPCR of pooled samples of duplicate challenge experiment were used to confirm our RNA-seq approach. (C) 2014 Elsevier Ltd. All rights reserved

Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition

Many coronaviruses are capable of interspecies transmission. Some of them have caused worldwide panic as emerging human pathogens in recent years, e.g., severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). In order to assess their threat to humans, we explored to infer the potential hosts of coronaviruses using a dual-model approach based on nineteen parameters computed from spike genes of coronaviruses. Both the support vector machine (SVM) model and the Mahalanobis distance (MD) discriminant model achieved high accuracies in leave-one-out cross-validation of training data consisting of 730 representative coronaviruses (99.86% and 98.08% respectively). Predictions on 47 additional coronaviruses precisely conformed to conclusions or speculations by other researchers. Our approach is implemented as a web server that can be accessed at http://bioinfo.ihb.ac.cn/seq2hosts.</p

The Grass Carp Genome Database (GCGD): an online platform for genome features and annotations

As one of the four major Chinese carps of important economic value, the grass carp (Ctenopharyngodon idellus) has attracted increasing attention from the scientific community. Recently, the draft genome has been released as a milestone in research of grass carp. In order to facilitate the utilization of these genome data, we developed the grass carp genome database (GCGD). GCGD provides visual presentation of the grass carp genome along with annotations and amino acid sequences of predicted protein-coding genes. Other related genetic and genomic data available in this database include the genetic linkage maps, microsatellite genetic markers (i.e. Short Sequence Repeats, SSRs), and some selected transcriptomic datasets. A series of tools have been integrated into GCGD for visualization, analysis and retrieval of data, e.g. JBrowse for navigation of genome annotations, BLAST for sequence alignment, EC2KEGG for comparison of metabolic pathways, IDConvert for conversion of terms across databases and ReadContigs for extraction of sequences from the grass carp genome

FVD: The fish-associated virus database

With the expanding of marine and freshwater aquaculture, the outbreaks of aquatic animal diseases have increasingly become the major threats to the healthy development of aquaculture industries. Notably, viral infections lead to massive fish deaths and result in great economic loss every year across the world. Hence, it is meaningful to clarify the biodiversity, geographical distribution and host specificity of fish-associated viruses. In this study, viral sequences detected in fish samples were manually collected from public resources, along with the related metadata, such as sampling time, location, specimen type and fish species. Moreover, the information regarding the host fish, including aliases, diet type and geographic distribution were also integrated into a database (FVD). To date, FVD covers the information of 4860 fish-associated viruses belonging to 15 viral families, which were detected from 306 fish species in 57 countries. Meanwhile, sequence alignment, live data statistics and download function are available. Through the user-friendly interface, FVD provides a practical platform that would not only benefit virologists who want to disclose the spread of fish-associated viruses, but also zoologists who focus on the health of domestic and wild animals. Furthermore, it may facilitate the surveillance and prevention of fish viral diseases.</p

PMSeeker: A Scheme Based on the Greedy Algorithm and the Exhaustive Algorithm to Screen Low-Redundancy Marker Sets for Large-Scale Parentage Assignment with Full Parental Genotyping

Parentage assignment is a genetic test that utilizes genetic characteristics, such as molecular markers, to identify the parental relationships within populations, which, in commercial fish farming, are almost always large and where full information on potential parents is known. To accurately find the true parents, the genotypes of all loci in the parentage marker set (PMS) are required for each individual being tested. With the same accuracy, a PMS containing a smaller number of markers will undoubtedly save experimental costs. Thus, this study established a scheme to screen low-redundancy PMSs using the exhaustive algorithm and greedy algorithm. When screening PMSs, the greedy algorithm selects markers based on the parental dispersity index (PDI), a uniquely defined metric that outperforms the probability of exclusion (PE). With the conjunctive use of the two algorithms, non-redundant PMSs were found for more than 99.7% of solvable cases in three groups of random sample experiments in this study. Then, a low-redundancy PMS can be composed using two or more of these non-redundant PMSs. This scheme effectively reduces the number of markers in PMSs, thus conserving human and experimental resources and laying the groundwork for the widespread implementation of parentage assignment technology in economic species breeding

Transcriptome analysis of grass carp provides insights into disease-related genes and novel regulation pattern of bile acid feedback in response to lithocholic acid

Gut microbiota and its metabolites affect lipid metabolism and liver health. Grass carp (Ctenopharyngodon idellus) often suffers from functional disorders of liver and gallbladder, which is usually accompanied by accumulation of lipids in the liver. Here we studied liver transcriptome and microbial fluctuation in the gut in response to dietary lithocholic acid (LCA; a metabolite of gut microbiota) supplementation in grass carp. A total of 1802 differentially expressed genes (DEGs) were identified between LCA and Control groups according to the liver transcriptome analysis. Of these DEGs, 8 nonalcoholic fatty liver disease-related genes were all upregulated, and 11 of 12 cancer related genes were upregulated in the LCA group. We also found significantly upregulated bile acid receptor, hepatocyte nuclear factor 4-beta (HNF4B), in the LCA group. The red oil O staining of liver showed a higher abundance of lipid droplets in the LCA group. LCA also changed the composition of gut microbiota, with increasing proportion of Proteobacteria and Firmicutes, whereas Fusobacteria decreased. Co-occurrence between DEGs and microbial taxa was mainly identified between signal transduction and genetic information processing-related genes and Proteobacteria and Firmicutes taxa. Overall, our results elucidate the effects of LCA on liver and gut microbiota in fish, and suggest a novel pattern of bile acid feedback in grass carp. These results contribute to our understanding of the interplay between gut microbiota and liver diseases in fish, and offer insights into putative treatments of liver diseases in grass carp

FishSNP: a high quality cross-species SNP database of fishes

Abstract The progress of aquaculture heavily depends on the efficient utilization of diverse genetic resources to enhance production efficiency and maximize profitability. Single nucleotide polymorphisms (SNPs) have been widely used in the study of aquaculture genomics, genetics, and breeding research since they are the most prevalent molecular markers on the genome. Currently, a large number of SNP markers from cultured fish species are scattered in individual studies, making querying complicated and data reuse problematic. We compiled relevant SNP data from literature and public databases to create a fish SNP database, FishSNP ( http://bioinfo.ihb.ac.cn/fishsnp ), and also used a unified analysis pipeline to process raw data that the author of the literature did not perform SNP calling on to obtain SNPs with high reliability. This database presently contains 45,690,243 (45 million) nonredundant SNP data for 13 fish species, with 30,288,958 (30 million) of those being high-quality SNPs. The main function of FishSNP is to search, browse, annotate and download SNPs, which provide researchers various and comprehensive associated information

Glutathione peroxidase 5 deficiency induces lipid metabolism regulated by reactive oxygen species in Chlamydomonas reinhardtii

Background: Reactive oxygen species (ROS) are generated incidentally during natural metabolism process of aerobic photosynthetic organisms which could be either harmful for cellular components. How ROS regulated lipid metabolism and the transcriptomes of stressed cells respond to ROS in aerobic photosynthetic organisms are unclear. Glutathione peroxidases (GPXs) detoxify hydrogen peroxide or organic hydroperoxides, which are important enzymes of the antioxidant system. So the function of GPXs matters the cellular redox state. How the lipid metabolism respond to the GPXs deficiency remains to be explored. Methods: In this study, we employed a Chlamydomonas reinhardtii gpx5 knockout mutant to examine the effects of ROS on lipid metabolism. The redox state and lipid content of the parental strain CC4348 and the gpx5 mutant were detected. Besides, the transcriptomes of CC4348 and the gpx5 mutant were sequenced before and after treatment with nitrogen-free medium to obtain genome wide respond. Then we performed the functional annotation, classification and enrichment analysis based on KEGG database for the differentially expressed genes (DEGs) before and after nitrogen deprivation of CC4348 and the gpx5 mutant. Results: In the CC4348 cells, the lipid accumulated accompanying with increasing ROS level after treatment with nitrogen-free media. However, in the gpx5 mutant, the ROS level is much higher than that in the parental strain CC4348, unexpectedly with reduced lipid accumulation. By comparing the transcriptomes of CC4348 and gpx5 mutant, we found that both CC4348 and gpx5 mutant cells displayed upregulation of transcripts related to protein, nucleic acid, carbon metabolism and chlorophyll biosynthesis, but more proportion of genes related to lipid metabolism were up-regulated in CC4348 than that in the gpx5 mutant. Conclusion: In CC4348, lipid metabolism was up-regulated with increasing ROS level. But in the gpx5 mutant, Lipid accumulation was less with higher ROS level, which was due to the inhibited lipid biosynthesis. Therefore, ROS provides dual-directional regulation of lipid metabolism induced by GPX5 in Chlamydomonas