Biology subjects

Mo, H.

Publications and source records attributed to Mo, H..

4 recordsLinked to original sources

bioRxiv2021

The gut microbial signature of gestational diabetes mellitus and the association with diet intervention

Gestational diabetes mellitus (GDM) is a high-risk pregnancy complication that is associated with metabolic disorder phenotypes, such as abnormal blood glucose and obesity. The link between microbiota and diet management contributes to metabolic homeostasis in GDM. Therefore, it is crucial to understand the structure of the gut microbiota in GDM and to explore the effect of dietary management on the microbiota structure. In this study, we analyzed the composition of the gut microbiota between 27 GDM and 30 healthy subjects at two time points using Illumina HiSeq 2500 platform. The taxonomy analyses suggested that the overall bacteria clustered by diabetes status, rather than diet intervention. Of particular interest, the phylum Acidobacteria in GDM was significantly increased, and positively correlated with blood glucose levels. Moreover, Partial least-squares discriminant analysis (PLS-DA) revealed that certain genera in the phyla Firmicutes, Bacteroidetes, Proteobacteria, and Lentisphaerae characterized the GDM gut microbiota. Correlation analysis indicated that blood glucose levels and BMI index were correlated with the relative abundance of SCFAS-producing genera. Through the comparison between the GDM and healthy samples with or without diet intervention, we discovered that the role of short-term diet management in GDM processes is associated with the change in the Firmicutes/Bacteroidetes ratio and some specific taxa, rather than an alternative gut microbial pattern. Our study have important implications for understanding the beneficial effects of diet intervention on the specific gut microbiota and thus possibly their metabolism in pregnant women with GDM. ImportanceUnderstanding the composition and dynamics of the gut microbiota in GDM women under diet intervention is important because there may be opportunities for preventive strategies. We examined the relationships between GDM gut microbiota at two times before and after the diet intervention during second trimester of pregnancy and clinical characteristics in cohort of GDM women. We found that short-term diet management in GDM processes is associated with changes in the Firmicutes/Bacteroidetes ratio and some specific taxa rather than an alternative gut microbial pattern. Our study highlights the importance of considering diet intervention as the rescue of microbial dysfunction of GDM disease and can serve as a strategy for early prevention in future study.

microbiology↗

bioRxiv2020

Genome Wide Characterization, Identification And Expression Analysis Of Erf Gene Family In Cotton

ERF is a subfamily of AP2/EREBP superfamily, contained single AP2 domain. The overexpression of ERF genes steered to abiotic stress tolerance and pathogen resistance in transgenic plants. Here, a genome-wide analysis of ERF gene family within two diploid species (G. arboreum & G. raimondii) and two tetraploid species (G. barbadense, G. hirsutum) was performed. A total of 118, 120, 213, 220 genes contained sequence single AP2 domain were identified in G. arboreum, G. raimondii, G. barbadense and G. hirsutum respectively. The identified genes were unevenly distributed across 13/26 chromosomes of A and D genomes of cotton. Genome comparison revealed that segmental duplication may have played crucial roles in the expansion of the cotton ERF gene family, and tandem duplication also played a minor role. Analysis of RNA-Seq data indicated that cotton ERF gene expression levels varied across different tissues and in response to different abiotic stress. Overall, our results could provide valuable information for better understanding the evolution of cotton ERF genes and lays a foundation for future investigation in cotton.

bioinformatics↗

bioRxiv2020

Genetic Conservation of SARS-CoV-2 RNA Replication Complex in Globally Circulating Isolates from Humans and Minks Predicts Minimal Pre-Existing Resistance to Remdesivir

Remdesivir (RDV) exhibits potent antiviral activity against SARS-CoV-2 and is currently the only drug approved for the treatment of COVID-19. However, little is currently known about the potential for pre-existing resistance to RDV and the possibility of SARS-CoV-2 genetic diversification that might impact RDV efficacy as the virus continue to spread globally. In this study, >90,000 SARS-CoV-2 sequences from globally circulating clinical isolates, including sequences from recently emerged United Kingdom and South Africa variants, and >300 from mink isolates were analyzed for genetic diversity in the RNA replication complex (nsp7, nsp8, nsp10, nsp12, nsp13, and nsp14) with a focus on the RNA-dependent RNA polymerase (nsp12), the molecular target of RDV. Overall, low genetic variation was observed with only 12 amino acid substitutions present in the entire RNA replication complex in [≥]0.5% of analyzed sequences with the highest overall frequency (82.2%) observed for nsp12 P323L that consistently increased over time. Low sequence variation in the RNA replication complex was also observed among the mink isolates. Importantly, the coronavirus Nsp12 mutations previously selected in vitro in the presence of RDV were identified in only 2 isolates (0.002%) within all the analyzed sequences. In addition, among the sequence variants observed in [≥]0.5% clinical isolates, including P323L, none were located near the established polymerase active site or sites critical for the RDV mechanism of inhibition. In summary, the low diversity and high genetic stability of the RNA replication complex observed over time and in the recently emerged SARS-CoV-2 variants suggests a minimal global risk of pre-existing SARS-CoV-2 resistance to RDV.

genomics↗

bioRxiv2018

Pervasive adaptation of hepatitis C virus to interferon lambda polymorphism across multiple genotypes

Genetic polymorphism in the interferon lambda (IFN-{lambda}) region is associated with spontaneous clearance of hepatitis C virus (HCV) infection and with response to interferon-based antiviral treatment. Here, we evaluate the associations between IFN- {lambda} polymorphism and HCV variation through a genome-to-genome analysis in 8,729 patients from diverse ancestral backgrounds infected with various HCV genotypes. We searched for associations between rs12979860 genotype, a tag for IFN-{lambda} haplotypes, and amino acid variants in the NS3, NS4A, NS5A and NS5B HCV proteins. We report multiple associations between host and pathogen variants in the full cohort as well as in subgroups defined by viral genotype and human ancestry. We also assess the combined impact of human and HCV variation on pre-treatment viral load. By demonstrating that IFN-{lambda} genetic variation leaves a large footprint in the viral genome, this study provides strong evidence of pervasive viral adaptation to host innate immune pressure during chronic HCV infection.

genomics↗