scholarly journals Honeybee Genetics Shape the Strain-Level Structure of Gut Microbiota in Social Transmission

2020 ◽  
Author(s):  
Jiaqiang Wu ◽  
Haoyu Lang ◽  
Xiaohuan Mu ◽  
Zijing Zhang ◽  
Qinzhi Su ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Receptor Gene ◽  
Level Structure ◽  
Social Transmission ◽  
Strain Level ◽  
Microbial Composition ◽  
Shotgun Metagenomics ◽  
Host Genetics ◽  
A Genome ◽  
Microbiota Structure

Abstract Background : Honeybee gut microbiota transmitted via social interactions are beneficial to the host health. Although the microbial community is relatively stable, individual variations and high strain-level diversity have been detected across honeybees. Although the bee gut microbiota structure is influenced by environmental factors, the heritability of the gut members and the contribution of the host genetics remains elusive. Considering bees within a colony are not readily genetically identical due to the polyandry of queen, we hypothesize that the microbiota structure can be shaped by host genetics. Results : We used shotgun metagenomics to simultaneously profile the microbiota and host genotypes of individuals from hives of four different subspecies. Gut composition is more distant between genetically different bees at both phylotype- and “sequence-discrete population”-level. We then performed a successive passaging experiment within colonies of hybrid bees generated by artificial insemination, which revealed that the microbial composition dramatically shifts across batches of bees during the social transmission. Specifically, different strains from the phylotype of Snodgrassella alvi are preferentially selected by genetically varied hosts, and strains from different hosts show a remarkably biased distribution of single-nucleotide polymorphism in the Type IV pili loci. A genome-wide association analysis identified that the relative abundance of a cluster of Bifidobacterium strains is associated with the host glutamate receptor gene that is specifically expressed in the bee brain. Finally, mono-colonization of Bifidobacterium with a specific polysaccharide utilization locus impacts the expression and alternative splicing of the gluR-B gene, which is associated with an altered circulating metabolomic profile. Conclusions : Our results indicated that host genetics influence the bee gut composition, and suggest a gut-brain connection implicated in the gut bacterial strain preference. Honeybees have been used extensively as a model organism for social behaviors, genetics, and gut microbiome. Further identification of host genetic function as shaping force of microbial structure will advance our understanding of the host-microbe interactions.

scholarly journals Honeybee genetics shape the strain-level structure of gut microbiota in social transmission

2020 ◽  
Author(s):  
Jiaqiang Wu ◽  
Haoyu Lang ◽  
Xiaohuan Mu ◽  
Zijing Zhang ◽  
Qinzhi Su ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Receptor Gene ◽  
Level Structure ◽  
Social Transmission ◽  
Strain Level ◽  
Microbial Composition ◽  
Shotgun Metagenomics ◽  
Host Genetics ◽  
A Genome ◽  
Microbiota Structure

AbstractHoneybee gut microbiota transmitted via social interactions are beneficial to the host health. Although the microbial community is relatively stable, individual variations and high strain-level diversity have been detected across honeybees. Although the bee gut microbiota structure is influenced by environmental factors, the heritability of the gut members and the contribution of the host genetics remains elusive. Considering bees within a colony are not readily genetically identical due to the polyandry of queen, we hypothesize that the microbiota structure can be shaped by host genetics. We used shotgun metagenomics to simultaneously profile the microbiota and host genotypes of individuals from hives of four different subspecies. Gut composition is more distant between genetically different bees at both phylotype- and “sequence-discrete population”-level. We then performed a successive passaging experiment within colonies of hybrid bees generated by artificial insemination, which revealed that the microbial composition dramatically shifts across batches of bees during the social transmission. Specifically, different strains from the phylotype of Snodgrassella alvi are preferentially selected by genetically varied hosts, and strains from different hosts show a remarkably biased distribution of single-nucleotide polymorphism in the Type IV pili loci. A genome-wide association analysis identified that the relative abundance of a cluster of Bifidobacterium strains is associated with the host glutamate receptor gene that is specifically expressed in the bee brain. Finally, mono-colonization of Bifidobacterium with a specific polysaccharide utilization locus impacts the expression and alternative splicing of the gluR-B gene, which is associated with an altered circulating metabolomic profile. Our results indicated that host genetics influence the bee gut composition, and suggest a gut-brain connection implicated in the gut bacterial strain preference. Honeybees have been used extensively as a model organism for social behaviors, genetics, and gut microbiome. Further identification of host genetic function as shaping force of microbial structure will advance our understanding of the host-microbe interactions.

scholarly journals Honey bee genetics shape the strain-level structure of gut microbiota in social transmission

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiaqiang Wu ◽  
Haoyu Lang ◽  
Xiaohuan Mu ◽  
Zijing Zhang ◽  
Qinzhi Su ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Honey Bee ◽  
Honey Bees ◽  
Level Structure ◽  
Social Transmission ◽  
Strain Level ◽  
Microbial Composition ◽  
Shotgun Metagenomics ◽  
Host Genetics ◽  
Microbiota Structure

Abstract Background Honey bee gut microbiota transmitted via social interactions are beneficial to the host health. Although the microbial community is relatively stable, individual variations and high strain-level diversity have been detected across honey bees. Although the bee gut microbiota structure is influenced by environmental factors, the heritability of the gut members and the contribution of the host genetics remains elusive. Considering bees within a colony are not readily genetically identical due to the polyandry of the queen, we hypothesize that the microbiota structure can be shaped by host genetics. Results We used shotgun metagenomics to simultaneously profile the microbiota and host genotypes of bees from hives of four different subspecies. Gut composition is more distant between genetically different bees at both phylotype- and “sequence-discrete population” levels. We then performed a successive passaging experiment within colonies of hybrid bees generated by artificial insemination, which revealed that the microbial composition dramatically shifts across batches of bees during the social transmission. Specifically, different strains from the phylotype of Snodgrassella alvi are preferentially selected by genetically varied hosts, and strains from different hosts show a remarkably biased distribution of single-nucleotide polymorphism in the Type IV pili loci. Genome-wide association analysis identified that the relative abundance of a cluster of Bifidobacterium strains is associated with the host glutamate receptor gene specifically expressed in the bee brain. Finally, mono-colonization of Bifidobacterium with a specific polysaccharide utilization locus impacts the alternative splicing of the gluR-B gene, which is associated with an increased GABA level in the brain. Conclusions Our results indicated that host genetics influence the bee gut composition and suggest a gut-brain connection implicated in the gut bacterial strain preference. Honey bees have been used extensively as a model organism for social behaviors, genetics, and the gut microbiome. Further identification of host genetic function as a shaping force of microbial structure will advance our understanding of the host-microbe interactions.

scholarly journals Distinct composition and metabolic functions of human gut microbiota are associated with cachexia in lung cancer patients

2021 ◽  
Author(s):  
Yueqiong Ni ◽  
Zoltan Lohinai ◽  
Yoshitaro Heshiki ◽  
Balazs Dome ◽  
Judit Moldvay ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Gut Microbiota ◽  
Cancer Patients ◽  
Gut Microbiome ◽  
Human Gut ◽  
Microbial Composition ◽  
Shotgun Metagenomics ◽  
Lung Cancer Patients ◽  
Microbial Species ◽  
Functional Pathways

AbstractCachexia is associated with decreased survival in cancer patients and has a prevalence of up to 80%. The etiology of cachexia is poorly understood, and limited treatment options exist. Here, we investigated the role of the human gut microbiome in cachexia by integrating shotgun metagenomics and plasma metabolomics of 31 lung cancer patients. The cachexia group showed significant differences in the gut microbial composition, functional pathways of the metagenome, and the related plasma metabolites compared to non-cachectic patients. Branched-chain amino acids (BCAAs), methylhistamine, and vitamins were significantly depleted in the plasma of cachexia patients, which was also reflected in the depletion of relevant gut microbiota functional pathways. The enrichment of BCAAs and 3-oxocholic acid in non-cachectic patients were positively correlated with gut microbial species Prevotella copri and Lactobacillus gasseri, respectively. Furthermore, the gut microbiota capacity for lipopolysaccharides biosynthesis was significantly enriched in cachectic patients. The involvement of the gut microbiome in cachexia was further observed in a high-performance machine learning model using solely gut microbial features. Our study demonstrates the links between cachectic host metabolism and specific gut microbial species and functions in a clinical setting, suggesting that the gut microbiota could have an influence on cachexia with possible therapeutic applications.

scholarly journals Genomic Microdiversity of Bifidobacterium pseudocatenulatum Underlying Differential Strain-Level Responses to Dietary Carbohydrate Intervention

mBio ◽  
2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Guojun Wu ◽  
Chenhong Zhang ◽  
Huan Wu ◽  
Ruirui Wang ◽  
Jian Shen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Human Health ◽  
Dietary Intervention ◽  
Genomic Diversity ◽  
Strain Level ◽  
Transport Systems ◽  
Gene Copy ◽  
Dietary Carbohydrate ◽  
A Genome ◽  
Differential Responses

ABSTRACT The genomic basis of the response to dietary intervention of human gut beneficial bacteria remains elusive, which hinders precise manipulation of the microbiota for human health. After receiving a dietary intervention enriched with nondigestible carbohydrates for 105 days, a genetically obese child with Prader-Willi syndrome lost 18.4% of his body weight and showed significant improvement in his bioclinical parameters. We obtained five isolates (C1, C15, C55, C62, and C95) of one of the most abundantly promoted beneficial species, Bifidobacterium pseudocatenulatum , from a postintervention fecal sample. Intriguingly, these five B. pseudocatenulatum strains showed differential responses during the dietary intervention. Two strains were largely unaffected, while the other three were promoted to different extents by the changes in dietary carbohydrate resources. The differential responses of these strains were consistent with their functional clustering based on the COGs (Clusters of Orthologous Groups), including those involved with the ABC-type sugar transport systems, suggesting that the strain-specific genomic variations may have contributed to the niche adaption. Particularly, B. pseudocatenulatum C15, which had the most diverse types and highest gene copy numbers of carbohydrate-active enzymes targeting plant polysaccharides, had the highest abundance after the dietary intervention. These studies show the importance of understanding genomic diversity of specific members of the gut microbiota if precise nutrition approaches are to be realized. IMPORTANCE The manipulation of the gut microbiota via dietary approaches is a promising option for improving human health. Our findings showed differential responses of multiple B. pseudocatenulatum strains isolated from the same habitat to the dietary intervention, as well as strain-specific correlations with bioclinical parameters of the host. The comparative genomics revealed a genome-level microdiversity of related functional genes, which may have contributed to these differences. These results highlight the necessity of understanding strain-level differences if precise manipulation of gut microbiota through dietary approaches is to be realized.

scholarly journals Distinct gut microbial communities and metabolic functions are associated with cachexia in lung cancer patients

2020 ◽  
Author(s):  
Yueqiong Ni ◽  
Zoltan Lohinai ◽  
Yoshitaro Heshiki ◽  
Balazs Dome ◽  
Judit Moldvay ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Gut Microbiota ◽  
Cancer Patients ◽  
Clinical Setting ◽  
Gut Microbiome ◽  
Microbial Composition ◽  
Shotgun Metagenomics ◽  
Lung Cancer Patients ◽  
Microbial Species ◽  
Functional Pathways

Abstract Background Cachexia is associated with decreased survival in cancer patients and has a prevalence of up to 80%. The etiology of cachexia is poorly understood, and limited treatment options exist. Here, we investigated the role of the human gut microbiome in the clinical setting by integrating shotgun metagenomics and plasma metabolomics of 38 lung cancer patients, with known cachexia status. Results The cachexia group showed significant differences in the gut microbial composition, functional pathways of the metagenome, and the related plasma metabolites compared to non-cachectic patients. Branched-chain amino acids (BCAAs), methylhistamine, as well as vitamins, were significantly depleted in the plasma of cachexia patients, which was also reflected in the depletion of relevant gut microbiota functional pathways. The enrichment of plasma BCAAs and 3-oxocholic acid in non-cachectic patients were positively correlated with the gut microbial species Prevotella copri and Lactobacillus gasseri, respectively. Furthermore, the gut microbiota capacity for lipopolysaccharides biosynthesis was significantly enriched in the cancer cachectic patients. The involvement of gut microbiome in cachexia was further observed in a high-performance machine learning model that uses solely gut microbial taxonomic and pathway features to differentiate cachectic from non-cachectic cancer patients. Conclusions Our study demonstrates the links between host metabolism and specific gut microbial species and functions in a clinical setting, suggesting that the gut microbiota could have an influence on cachexia with possible future therapeutic applications.

scholarly journals Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Yuliaxis Ramayo-Caldas ◽  
Laura M. Zingaretti ◽  
David Pérez-Pascual ◽  
Pamela A. Alexandre ◽  
Antonio Reverter ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Association Studies ◽  
Host Genome ◽  
Phenotypic Variance ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Phagocytic Capacity ◽  
Host Genetics ◽  
Gut Microbiota Composition ◽  
Variance Explained

Abstract Background The gut microbiota influences host performance playing a relevant role in homeostasis and function of the immune system. The aim of the present work was to identify microbial signatures linked to immunity traits and to characterize the contribution of host-genome and gut microbiota to the immunocompetence in healthy pigs. Results To achieve this goal, we undertook a combination of network, mixed model and microbial-wide association studies (MWAS) for 21 immunity traits and the relative abundance of gut bacterial communities in 389 pigs genotyped for 70K SNPs. The heritability (h2; proportion of phenotypic variance explained by the host genetics) and microbiability (m2; proportion of variance explained by the microbial composition) showed similar values for most of the analyzed immunity traits, except for both IgM and IgG in plasma that was dominated by the host genetics, and the haptoglobin in serum which was the trait with larger m2 (0.275) compared to h2 (0.138). Results from the MWAS suggested a polymicrobial nature of the immunocompetence in pigs and revealed associations between pigs gut microbiota composition and 15 of the analyzed traits. The lymphocytes phagocytic capacity (quantified as mean fluorescence) and the total number of monocytes in blood were the traits associated with the largest number of taxa (6 taxa). Among the associations identified by MWAS, 30% were confirmed by an information theory network approach. The strongest confirmed associations were between Fibrobacter and phagocytic capacity of lymphocytes (r = 0.37), followed by correlations between Streptococcus and the percentage of phagocytic lymphocytes (r = -0.34) and between Megasphaera and serum concentration of haptoglobin (r = 0.26). In the interaction network, Streptococcus and percentage of phagocytic lymphocytes were the keystone bacterial and immune-trait, respectively. Conclusions Overall, our findings reveal an important connection between gut microbiota composition and immunity traits in pigs, and highlight the need to consider both sources of information, host genome and microbial levels, to accurately characterize immunocompetence in pigs.

scholarly journals Effect of host genetics on the gut microbiome in 7,738 participants of the Dutch Microbiome Project

2020 ◽  
Author(s):  
E.A. Lopera-Maya ◽  
A. Kurilshikov ◽  
A. van der Graaf ◽  
S. Hu ◽  
S. Andreu-Sánchez ◽  
...  
Keyword(s):  
Gut Microbiome ◽  
Genome Wide Association Study ◽  
Strongly Correlated ◽  
Microbial Composition ◽  
Host Genetics ◽  
Secretor Status ◽  
Genome Wide ◽  
A Genome ◽  
And Function ◽  
Larger Sample

AbstractHost genetics are known to influence the gut microbiome, yet their role remains poorly understood. To robustly characterize these effects, we performed a genome-wide association study of 207 taxa and 205 pathways representing microbial composition and function within the Dutch Microbiome Project, a population cohort of 7,738 individuals from the northern Netherlands. Two robust, study-wide significant (p<1.89×10−10) signals near the LCT and ABO genes were found to affect multiple microbial taxa and pathways, and were replicated in two independent cohorts. The LCT locus associations were modulated by lactose intake, while those at ABO reflected participant secretor status determined by FUT2 genotype. Eighteen other loci showed suggestive evidence (p<5×10−8) of association with microbial taxa and pathways. At a more lenient threshold, the number of loci identified strongly correlated with trait heritability, suggesting that much larger sample sizes are needed to elucidate the remaining effects of host genetics on the gut microbiome.

scholarly journals Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs

2021 ◽  
Author(s):  
Yuliaxis Ramayo-Caldas ◽  
Laura M. Zingaretti ◽  
David Perez-Pascual ◽  
Pamela A Alexandre ◽  
Antonio Reverter-Gomez ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Mixed Model ◽  
Association Studies ◽  
Host Genome ◽  
Phenotypic Variance ◽  
Microbial Composition ◽  
Phagocytic Capacity ◽  
Host Genetics ◽  
Microbial Biomarkers ◽  
Variance Explained

The aim of the present work was to identify microbial biomarkers linked to immunity traits and to characterize the contribution of host-genome and gut microbiota to the immunocompetence in healthy pigs. To achieve this goal, we undertook a combination of network, mixed model and microbial-wide association studies (MWAS) for 21 immunity traits and the relative abundance of gut bacterial communities in 389 pigs genotyped for 70K SNPs. The heritability (h2; proportion of phenotypic variance explained by the host genetics) and microbiability (m2; proportion of variance explained by the microbial composition) showed similar values for most of the analyzed immunity traits, except for both IgM and IgG in plasma that were dominated by the host genetics, and the haptoglobin in serum which was the trait with larger m2 (0.275) compared to h2 (0.138). Results from the MWAS suggested a polymicrobial nature of the immunocompetence in pigs and revealed associations between pigs gut microbiota composition and 15 of the analyzed traits. The lymphocytes phagocytic capacity (quantified as mean fluorescence) and the total number of monocytes in blood were the traits associated with the largest number of taxa (6 taxa). Among the associations identified by MWAS, 30% were confirmed by an information theory network approach. The strongest confirmed associations were between Fibrobacter and phagocytic capacity of lymphocytes (r=0.37), followed by correlations between Streptococcus and the percentage of phagocytic lymphocytes (r=-0.34) and between Megasphaera and serum concentration of haptoglobin (r=0.26). In the interaction network, Streptococcus and percentage of phagocytic lymphocytes were the keystone bacterial and immune-trait, respectively. Overall, our findings reveal an important connection between immunity traits and gut microbiota in pigs and highlight the need to consider both sources of information, host genome and microbial levels, to accurately characterize immunocompetence in pigs.

scholarly journals Differences in Anxiety Levels of Various Murine Models in Relation to the Gut Microbiota Composition

Biomedicines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 113 ◽  
Author(s):  
Eunchong Huang ◽  
Shinwon Kang ◽  
Haryung Park ◽  
Soyoung Park ◽  
Yosep Ji ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Psychological Symptoms ◽  
Fecal Microbiota Transplantation ◽  
Fecal Microbiota ◽  
Anxiety Level ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Host Genetics ◽  
Probiotic Strains ◽  
Anxiety Levels

Psychobiotics are probiotic strains that confer mental health benefits to the host through the modulation of the gut microbial population. Mounting evidence shows that the gut microbiota play an important role in communication within the gut–brain axis. However, the relationship between the host genetics and the gut microbiota and their influence on anxiety are still not fully understood. Hence, in our research, we attempted to draw a connection between host genetics, microbiota composition, and anxiety by performing an elevated plus maze (EPM) test on four genetically different mice. Four different breeds of 5-week-old mice were used in this experiment: Balb/c, Orient C57BL/6N, Taconic C57BL/6N, and Taconic C57BL/6J. After 1 week of adaptation, their initial anxiety level was monitored using the EPM test via an EthoVision XT, a standardized software used for behavorial testing. Significant differences in the initial anxiety level and microbial composition were detected. Subsequently, the microbiota of each group was modulated by the administration of either a probiotic, fecal microbiota transplantation, or antibiotics. Changes were observed in host anxiety levels in correlation to the shift of the gut microbiota. Our results suggest that the microbiota, host genetics, and psychological symptoms are strongly related, yet the deeper mechanistic links need further exploration.

scholarly journals Host genetics exerts lifelong effects upon hindgut microbiota and its association with bovine growth and immunity

2021 ◽  
Author(s):  
Peixin Fan ◽  
Corwin D. Nelson ◽  
J. Danny Driver ◽  
Mauricio A. Elzo ◽  
Francisco Peñagaricano ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Environmental Changes ◽  
Short Chain Fatty Acids ◽  
Growth Stages ◽  
Intestinal Epithelial ◽  
Nucleotide Polymorphisms ◽  
Extrinsic Factors ◽  
Host Genetics ◽  
Genetic Components ◽  
Microbiota Structure

AbstractThe gut microbiota is a complex ecological community that plays multiple critical roles within a host. Known intrinsic and extrinsic factors affect gut microbiota structure, but the influence of host genetics is understudied. To investigate the role of host genetics upon the gut microbiota structure, we performed a longitudinal study in which we evaluated the hindgut microbiota and its association with animal growth and immunity across life. We evaluated three different growth stages in an Angus-Brahman multibreed population with a graduated spectrum of genetic variation, raised under variable environmental conditions and diets. We found the gut microbiota structure was changed significantly during growth when preweaning, and fattening calves experienced large variations in diet and environmental changes. However, regardless of the growth stage, we found gut microbiota is significantly influenced by breed composition throughout life. Host genetics explained the relative abundances of 52.2%, 40.0%, and 37.3% of core bacterial taxa at the genus level in preweaning, postweaning, and fattening calves, respectively. Sutterella, Oscillospira, and Roseburia were consistently associated with breed composition at these three growth stages. Especially, butyrate-producing bacteria, Roseburia and Oscillospira, were associated with nine single-nucleotide polymorphisms (SNPs) located in genes involved in the regulation of host immunity and metabolism in the hindgut. Furthermore, minor allele frequency analysis found breed-associated SNPs in the short-chain fatty acids (SCFAs) receptor genes that promote anti-inflammation and enhance intestinal epithelial barrier functions. Our findings provide evidence of dynamic and lifelong host genetic effects upon gut microbiota, regardless of growth stages. We propose that diet, environmental changes, and genetic components may explain observed variation in critical hindgut microbiota throughout life.

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