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Biology subjects

Xia, C.

Publications and source records attributed to Xia, C..

7 recordsLinked to original sources

The expansion of apolipoprotein D genes in cluster in teleost fishes

BackgroundGene and genome duplication play important roles in the evolution of gene function. Compared to individual duplicated genes, gene clusters attract particular attentions considering their frequent associations with innovation and adaptation. Here, we report for the first time the expansion of the ligand (e.g., pheromone and hormone)-transporter genes, apolipoprotein D (ApoD) genes in a cluster, specific to teleost fishes.\n\nResultsThe single ApoD gene in the ancestor expands in two clusters with a dynamic evolutionary pattern in teleost fishes. Based on comparative genomic and transcriptomic analyses, protein 3D structure comparison, evolutionary rate detection and breakpoint detection, orthologous genes show conserved expression patterns. Lineage-specific duplicated genes that are under positive selection evolved specific and even new expression profiles. Different duplicates show high tissue-specific expression patterns (e.g., skin, eye, anal fin pigmentation patterns, gonads, gills, spleen and lower pharyngeal jaw). Cluster analyses based on protein 3D structure comparisons, especially the four loops at the opening side, show segregation patterns with different duplicates. Duplicated ApoD genes are predicted to be associated with forkhead transcription factors and MAPK genes, and they are located next to the breakpoints of genome rearrangements.\n\nConclusionsHere, we report the expansion of ApoD genes specific to teleost fishes in a cluster manner for the first time. Neofunctionalization and subfunctionalization were observed at both protein and expression levels after duplication. Evidence from different aspects, i.e. abnormal expression induced disease in human, fish-specific expansion, predicted associations with forkhead transcription factors and MAPK genes, highly specific expression patterns in tissues related to sexual selection and adaptation, duplicated genes that are under positive selection, and their locations next to breakpoints of genome rearrangement, suggests the potential advantageous roles of ApoD genes in teleost fishes. Cluster expansion of ApoD genes specific to teleost fishes thus provides an ideal evo-devo model for studying gene duplication, cluster maintenance and new gene function emergence.

evolutionary biology

Genetic and environmental determinants of stressful life events and their overlap with depression and neuroticism

BackgroundStressful life events (SLEs) and neuroticism are risk factors for major depressive disorder (MDD). However, SLEs and neuroticism are heritable traits that are correlated with genetic risk for MDD. In the current study, we sought to investigate the genetic and environmental contributions to SLEs in a large family-based sample, and quantify any genetic overlap with MDD and neuroticism.\n\nMethodsA subset of Generation Scotland: the Scottish Family Health Study, consisting of 9618 individuals comprise the present study. We estimated the heritability of SLEs using pedigree-based and molecular genetic data. The environment was assessed by modelling familial, couple and sibling components. Using polygenic risk scores (PRS) and LD score regression we analysed the genetic overlap between MDD, neuroticism and SLEs.\n\nResultsPast 6-month life events were positively correlated with lifetime MDD status ({beta}=0.21, r2=1.1%, p=2.5 x 10-25) and neuroticism ({beta} =0.13, r2=1.9%, p=1.04 x 10-37). Common SNPs explained 8% of the variance in personal life events (those directly affecting the individual) (S.E.=0.03, p=9 x 10-4). A significant effect of couple environment accounted for 13% (S.E.=0.03, p=0.016) of variation in SLEs. PRS analyses found that individuals with higher PRS for MDD reported more SLEs ({beta} =0.05, r2=0.3%, p=3 x 10-5). LD score regression demonstrated genetic correlations between MDD and both SLEs (rG=0.33, S.E.=0.08) and neuroticism (rG=0.15, S.E.=0.07).\n\nConclusionsThese findings suggest that SLEs are partially heritable and this heritability is shared with risk for MDD and neuroticism. Further work should determine the causal direction and source of these associations.

genetics

The Impact of In-Scanner Head Motion on Structural Connectivity Derived from Diffusion Tensor Imaging

Multiple studies have shown that data quality is a critical confound in the construction of brain networks derived from functional MRI. This problem is particularly relevant for studies of human brain development where important variables (such as participant age) are correlated with data quality. Nevertheless, the impact of head motion on estimates of structural connectivity derived from diffusion tractography methods remains poorly characterized. Here, we evaluated the impact of in-scanner head motion on structural connectivity using a sample of 949 participants (ages 8-23 years old) who passed a rigorous quality assessment protocol for diffusion tensor imaging (DTI) acquired as part of the Philadelphia Neurodevelopmental Cohort. Structural brain networks were constructed for each participant using both deterministic and probabilistic tractography. We hypothesized that subtle variation in head motion would systematically bias estimates of structural connectivity and confound developmental inference, as observed in previous studies of functional connectivity. Even following quality assurance and retrospective correction for head motion, eddy currents, and field distortions, in-scanner head motion significantly impacted the strength of structural connectivity in a consistency-and length-dependent manner. Specifically, increased head motion was associated with reduced estimates of structural connectivity for high-consistency network edges, which included both short-and long-range connections. In contrast, motion inflated estimates of structural connectivity for low-consistency network edges that were primarily shorter-range. Finally, we demonstrate that age-related differences in head motion can both inflate and obscure developmental inferences on structural connectivity. Taken together, these data delineate the systematic impact of head motion on structural connectivity, and provide a critical context for identifying motion-related confounds in studies of structural brain network development.

neuroscience

Detection of domain motion in NADPH-cytochrome P450 oxidoreductase through polarization anisotropy measurements

Conformational transitions between closed and open states in the NADPH-cytochrome P450 oxidoreductase (POR) play a critical role in its electron-transport function. In this study, we determined rotational diffusion coefficients of the EDANS fluorophore attached to the cytosolic POR construct lacking the N-terminal transmembrane region. We identified two dynamic modes, slow and fast, which are interpreted as the rotational diffusion of POR as a whole and the local domain motion, respectively. Timescale of the local rotational diffusion component suggests that it may correspond to the transient opening of the fully oxidized POR structure.

biochemistry

Revelation of the Genetic Basis for Convergent Innovative Anal Fin Pigmentation Patterns in Cichlid Fishes

Determining whether convergent novelties share a common genetic basis is vital to understanding the extent to which evolution is predictable. The convergent evolution of innovative anal fin pigmentation patterns in cichlid fishes is an ideal model for studying this question. Here, we focused on two patterns: 1) egg-spots, circular pigmentation patterns with different numbers, sizes and positions; and 2) the blotch, irregular pattern with no variation among species. How these two novelties originate and evolve remains unclear. Based on a thorough comparative transcriptomic and genomic analysis, we observed a common genetic basis with high evolutionary rates and similar expression levels between egg-spots and the blotch. Furthermore, associations of common genes with transcription factors and signalling pathways in the core gene network, as well as the integration of advantageous genes were observed for egg-spots. We propose that the re-use of the common genetic basis indicates important conservative functions (e.g., toolkit genes) for the origin of these convergent novel phenotypes, whereas independently evolved associations of common genes with transcription factors and signalling pathways (intrinsic factor) can free the evolution of egg-spots, and together with the integration of advantageous genes (extrinsic factor) can provide a clue to link egg-spots as a key innovation to the adaptive radiation in cichlid fishes. This hypothesis will further illuminate the mechanism of the origin and evolution of novelties in a broad sense.

evolutionary biology

Genomic analysis of family data reveals additional genetic effects on intelligence and personality

Pedigree-based analyses of intelligence have reported that genetic differences account for 50-80% of the phenotypic variation. For personality traits these effects are smaller, with 34-48% of the variance being explained by genetic differences. However, molecular genetic studies using unrelated individuals typically report a heritability estimate of around 30% for intelligence and between 0% and 15% for personality variables. Pedigree-based estimates and molecular genetic estimates may differ because current genotyping platforms are poor at tagging causal variants, variants with low minor allele frequency, copy number variants, and structural variants. Using [~]20 000 individuals in the Generation Scotland family cohort genotyped for [~]700 000 single nucleotide polymorphisms (SNPs), we exploit the high levels of linkage disequilibrium (LD) found in members of the same family to quantify the total effect of genetic variants that are not tagged in GWASs of unrelated individuals. In our models, genetic variants in low LD with genotyped SNPs explain over half of the genetic variance in intelligence, education, and neuroticism. By capturing these additional genetic effects our models closely approximate the heritability estimates from twin studies for intelligence and education, but not for neuroticism and extraversion. We then replicated our finding using imputed molecular genetic data from unrelated individuals to show that [~]50% of differences in intelligence, and [~]40% of the differences in education, can be explained by genetic effects when a larger number of rare SNPs are included. From an evolutionary genetic perspective, a substantial contribution of rare genetic variants to individual differences in intelligence and education is consistent with mutation-selection balance.

genetics

Evidence for a Large-Scale Brain System Supporting Allostasis and Interoception in Humans

AbstractLarge-scale intrinsic brain systems have been identified for exteroceptive senses (e.g., sight, hearing, touch). We introduce an analogous system for representing sensations from within the body, called interoception, and demonstrate its relation to regulating peripheral systems in the body, called allostasis. Employing the recently introduced Embodied Predictive Interoception Coding (EPIC) model, we used tract-tracing studies of macaque monkeys, followed by two intrinsic functional magnetic resonance imaging samples (N = 280 and N = 270) to evaluate the existence of an intrinsic allostatic/interoceptive system in the human brain. Another sample (N = 41) allowed us to evaluate the convergent validity of the hypothesized allostatic/interoceptive system by showing that individuals with stronger connectivity between system hubs performed better on an implicit index of interoceptive ability related to autonomic fluctuations. Implications include novel insights for the brains functional architecture, dissolving the artificial boundary between mind and body, and unifying mental and physical illness.

neuroscience