Biology subjects

Zhou, C.

Publications and source records attributed to Zhou, C..

261 records · Page 15Linked to original sources

bioRxiv2018

Agricultural Pollution Risks Influence Microbial Ecology in Honghu Lake

BackgroundAgricultural activities, such as stock-farming, planting industry, and fish aquaculture, can influence the physicochemistry and biology of freshwater lakes. However, the extent to which these agricultural activities, especially those that result in eutrophication and antibiotic pollution, effect water and sediment-associated microbial ecology, remains unclear.\n\nMethodsWe performed a geospatial analysis of water and sediment associated microbial community structure, as well as physicochemical parameters and antibiotic pollution, across 18 sites in Honghu lake, which range from impacted to less-impacted by agricultural pollution. Furthermore, the co-occurrence network of water and sediment were built and compared accorded to the agricultural activities.\n\nResultsPhysicochemical properties including TN, TP, NO3--N, and NO2--N were correlated with microbial compositional differences in water samples. Likewise, in sediment samples, Sed-OM and Sed-TN correlated with microbial diversity. Oxytetracycline and tetracycline concentration described the majority of the variance in taxonomic and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Finally, the structure of microbial co-associations was influenced by the eutrophication and antibiotic pollution.\n\nConclusionThese analyses of the composition and structure of water and sediment microbial communities in anthropologically-impacted lakes are imperative for effective environmental pollution monitoring. Likewise, the exploration of the associations between environmental variables (e.g. physicochemical properties, and antibiotics) and community structure is important in the assessment of lake water quality and its ability to sustain agriculture. These results show agricultural practices can negatively influence not only the physicochemical properties, but also the biodiversity of microbial communities associated with the Honghu lake ecosystem. And these results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu lake.

microbiology↗

bioRxiv2017

WSL5, a pentatricopeptide repeat protein, is essential for chloroplast biogenesis in rice under cold stress

AbstactChloroplasts play an essential role in plant growth and development, and cold has a great effect on chloroplast development. Although many genes or regulators involved in chloroplast biogenesis and development have been isolated and characterized, identification of novel components associated with cold is still lacking. In this study, we reported the functional characterization of white stripe leaf 5 (wsl5) mutant in rice. The mutant developed white-striped leaves during early leaf development and was albinic when planted under cold stress. Genetic and molecular analysis revealed that WSL5 encodes a novel chloroplast-targeted pentatricopeptide repeat protein. RNA-seq analysis showed that expression of nuclear-encoded photosynthetic genes in the mutant was significantly repressed, and expression of many chloroplast-encoded genes was also significantly changed. Notably, the WSL5 mutation caused defects in editing of rpl2 and atpA, and in splicing of rpl2 and rps12. Chloroplast ribosome biogenesis was impaired under cold stress. We propose that WSL5 is required for normal chloroplast development in rice under cold stress.

genetics↗

bioRxiv2017

Boosting Gene Expression Clustering with System-Wide Biological Information: A Robust Autoencoder Approach

Gene expression analysis provides genome-wide insights into the transcriptional activity of a cell. One of the first computational steps in exploration and analysis of the gene expression data is clustering. With a number of standard clustering methods routinely used, most of the methods do not take prior biological information into account. In this paper, we propose a new approach for gene expression clustering analysis. The approach benefits from a new deep learning architecture, Robust Autoencoder, which provides a more accurate high-level representation of the feature sets, and from incorporating prior biological information into the clustering process. We tested our approach on two distinct gene expression datasets and compared the performance with two widely used clustering methods, hierarchical clustering and k-means, as well as with a recent deep learning clustering approach. As a result, our approach outperformed all other clustering methods on the labeled yeast gene expression dataset. Furthermore we showed that it is better in identifying the functionally common clusters than k-means on the unlabeled human gene expression dataset. The results demonstrate that our new deep learning architecture could generalize well the specific properties of gene expression profiles. Furthermore, the results confirm our hypothesis that the prior biological network knowledge could be helpful in the gene expression clustering task.

bioinformatics↗

bioRxiv2017

Mitochondrial genomes infer phylogenetic relationships among the oldest extant winged insects (Palaeoptera)

Phylogenetic relationships among the basal orders of winged insects remain unclear, in particular the relationship of the Ephemeroptera (mayflies) and the Odonata (dragonflies and damselflies) with the Neoptera. Insect evolution is thought to have followed rapid divergence in the distant past and phylogenetic reconstruction may therefore be susceptible to problems of taxon sampling, choice of outgroup, marker selection, and tree reconstruction method. Here we newly sequenced three mitochondrial genomes representing the two most diverse families of the Ephemeroptera, one of which is a basal lineage of the order. We then used an additional 90 insect mitochondrial genomes to reconstruct their phylogeny using Bayesian and maximum likelihood approaches. Bayesian analysis supported a basal Odonata hypothesis, with Ephemeroptera as sister group to the remaining insects. This was only supported when using an optimized data matrix from which rogue taxa and terminals affected by long-branch attraction were removed. None of our analyses supported a basal Ephemeroptera hypothesis or Ephemeroptera + Odonata as monophyletic clade sister to other insects (i.e., the Palaeoptera hypothesis). Our newly sequenced mitochondrial genomes of Baetis rutilocylindratus, Cloeon dipterum, and Habrophlebiodes zijinensis had a complete set of protein coding genes and a conserved orientation except for two inverted tRNAs in H. zijinensis. Increased mayfly sampling, removal of problematic taxa, and a Bayesian phylogenetic framework were needed to infer phylogenetic relationships within the three ancient insect lineages of Odonata, Ephemeroptera, and Neoptera. Pruning of rogue taxa improved the number of supported nodes in all phylogenetic trees. Our results add to previous evidence for the Odonata hypothesis and indicate that the phylogenetic resolution of the basal insects can be resolved with more data and sampling effort.

evolutionary biology↗

bioRxiv2017

Natural variation in stochastic photoreceptor specification and color preference in Drosophila

Each individual perceives the world in a unique way, but little is known about the genetic basis of variation in sensory perception. Here we investigated natural variation in the development and function of the color vision system of Drosophila. In the fly eye, the random mosaic of color-detecting R7 photoreceptor subtypes is determined by stochastic expression of the transcription factor Spineless (Ss). Individual R7s randomly choose between SsON or SsOFF fates at a ratio of 65:35, resulting in unique patterns but consistent proportions of cell types across genetically identical retinas. In a genome wide association study, we identified a naturally occurring insertion in a regulatory DNA element in the ss gene that lowers the ratio of SsON to SsOFF cells. This change in photoreceptor fates shifts the innate color preference of flies from green to blue. The genetic variant increases the binding affinity for Klumpfuss (Klu), a zinc finger transcriptional repressor that regulates ss expression. Klu is expressed at intermediate levels to determine the normal ratio of SsON to SsOFF cells. Thus, binding site affinity and transcription factor levels are finely tuned to regulate stochastic on/off gene expression, setting the ratio of alternative cell fates and ultimately determining color preference.

developmental biology↗

bioRxiv2017

Assembly Of Whole-Chromosome Pseudomolecules For Polyploid Plant Genomes Using Outcrossed Mapping Populations

The assembly of whole-chromosome pseudomolecules for plant genomes remains challenging due to polyploidy and high repeat content. We developed an approach for constructing complete pseudomolecules for polyploid species using genotyping-by-sequencing data from outcrossing mapping populations coupled with high coverage whole genome sequence data of a reference genome. Our approach combines de novo assembly with linkage mapping to arrange scaffolds into pseudomolecules. We show that the method is able to reconstruct simulated chromosomes for both diploid and tetraploid genomes. Comparisons to three existing genetic mapping tools show that our method outperforms the other methods in accuracy on both grouping and ordering, and is robust to the presence of substantial amounts of missing data and genotyping errors. We applied our method to three real datasets including a diploid Ipomoea trifida and two tetraploid potato mapping populations. The linkage maps show significant concordance with the reference chromosomes. We resolved seven assembly errors for the published Ipomoea trifida genome assembly as well as anchored an unplaced scaffold in the published potato genome.

bioinformatics↗

bioRxiv2017

Divergent In vitro MIC Characteristics and underlying isogenic mutations in host-specialized Pseudomonas aeruginosa

Clinical isolates of Pseudomonas aeruginosa (Pa) from patients with cystic fibrosis (CF) are known to differ from those associated with infections of non-CF hosts in colony morphology, drug susceptibility patterns, and genomic hypermutability. Although Pa isolates from CF have long been recognized for their overall higher resistance rate calculated generally by reduced \"percent susceptible\", this study takes the approach to compare and contrast Etest MIC distributions between two distinct cohorts of clinical strains (n=224 from 56 CF patients and n=130 from 68 non-CF patients respectively) isolated in 2013. Logarithmic transformed MIC (logMIC) values of 11 antimicrobial agents were compared between the two groups. CF isolates tended to produce heterogeneous and widely dispersed MICs compared to non-CF isolates. By applying a test for equality of variances, we were able to confirm that the MICs generated from CF isolates against 9 out of the 11 agents were significantly more dispersed than those from non-CF (p<0.02-<0.001). Quantile-quantiles plots indicated little agreement between the two cohorts of isolates. Based on whole genome sequencing of 19 representative CF Pa isolates, divergent gain- or loss-of-function mutations in efflux and porin genes and their regulators between isogenic or intra-clonal associates were evident. Not one, not a few, but the net effect all adaptive mutational changes in the genomes of CF Pa, both shared and unshared between isogenic strains, are responsible for the divergent heteroresistance patterns. Moreover, the isogenic variations are suggestive of a bacterial syntrophic lifestyle when \"lockedo inside a host focal airway environment over prolonged periods.\n\nSignificance statementBacterial heteroresistance is associated with niche specialized organisms interacting with host species for prolonged period of time, medically characterized by \"chronic focal infections\". A prime example is found in Pseudomonas aeruginosa isogenic/non-homogeneous isolates from patient airways with cystic fibrosis. The development of pseudomonal polarizing MICs in vitro to many actively used antimicrobial agents among isogenic isolates and \"Eagle-type\" heteroresistance patterns are common and characteristic. Widespread isogenic gene lesions were evident for defects in drug transporters, DNA mismatch repair, and many other structural or cellular functions--a result of pseudomonal symbiotic response to host selection. Co-isolation of extremely susceptible and resistant isogenic Pa strains suggests intra-airway evolution of a multicellular syntrophic bacterial lifestyle, which has laboratory interpretation and clinical treatment implications.

microbiology↗

bioRxiv2017

Identification and characterization of m6A circular RNA epitranscriptomes

This study brings together the expanding fields of RNA modifications and circular (circ) RNAs. We find that cells express thousands of m6A methylated circRNAs, with cell-type specificity observed between human embryonic stem cells and HeLa cells. m6A-circRNAs were identified by RNA sequencing of total RNA following ribosome depletion and m6A immunoprecipitation. The presence of m6A-circRNAs is corroborated by the identification of complexes between circRNAs and YTHDF1 and YTHDF2, proteins that \"read\" m6A sites in mRNAs.\n\nFurthermore, m6A modifications on non-linear RNAs depend on METTL3 and METTL14, the known m6A methyltransferase \"writer\" complex components, suggesting that circRNAs are methylated by the same complexes responsible for m6A modification of linear RNAs. Despite sharing m6A readers and writers, m6A-circRNAs are frequently derived from exons not methylated in mRNAs. Nevertheless, m6A-mRNAs that are methylated on the same exons as those composing m6A-circRNAs exhibit less stability than other m6A-mRNA, and this circRNA-mRNA cross-talk is regulated by YTHDF2. Thus, our results expand the m6A regulatory code through identification of the first circRNA epitranscriptome.

bioinformatics↗

bioRxiv2017

Ongoing human chromosome end extension driven by a primate ancestral genomic region revealed by analysis of BioNano genomics data

The majority of human chromosome ends remain incompletely assembled due to their highly repetitive structure. In this study, we use BioNano data to anchor and extend chromosome ends from two European trios as well as two unrelated Asian genomes. BioNano assembled chromosome ends are structurally divergent from the reference genome, including both missing sequence (10%) and extensions(22%). These extensions are heritable and in some cases divergent between Asian and European samples. Six ninths of the extension sequence in NA12878 can be confirmed and filled by nanopore data. We identify two sequence families in these sequences which have undergone substantial duplication in multiple primate lineages. We show that these sequence families have arisen from progenitor interstitial sequence on the ancestral primate chromosome 7. Comparison of chromosome end sequences from 15 species revealed that chromosome end missing sequence matches the corresponding phylogenetic relationship and revealed a rate of chromosome extension per chromosome of 0.0020 bp per year in average.

genomics↗