A Genome-Wide Perspective on Metabolism

Author(s):  
Alexander Rauch ◽  
Susanne Mandrup
PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e92456 ◽  
Author(s):  
Ankur R. Bhardwaj ◽  
Gopal Joshi ◽  
Ritu Pandey ◽  
Bharti Kukreja ◽  
Shailendra Goel ◽  
...  

2020 ◽  
Author(s):  
Carmen Amador ◽  
Yanni Zeng ◽  
Rosie Walker ◽  
Archie Campbell ◽  
Andrew M. McIntosh ◽  
...  

ABSTRACTVariation in complex traits related to obesity, such as body weight and body mass index, has a genetic basis with heritabilities between 40 and 70%. Nonetheless, the so-called global obesity pandemic is usually associated with environmental changes related to diet, lifestyle, and sociocultural and socioeconomic changes. However, most genetic studies do not include all relevant environmental covariates so their contribution, alongside genetics, to variation in obesity-related traits can not be assessed. Similarly, some studies have described interactions between a few individual genes linked to obesity and different environmental variables but the total contribution to differences between individuals is unknown. In this study we explored the effect of smoking and gene-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain by modelling them using self-reported data and a proxy created using methylation data. Our results indicate that exploiting omic measures as proxies for environmental variation can improve our models for complex traits such as obesity and can be used as a substitute of environmental measures when they are not available or jointly to improve their accuracy.


PLoS Genetics ◽  
2021 ◽  
Vol 17 (9) ◽  
pp. e1009750
Author(s):  
Carmen Amador ◽  
Yanni Zeng ◽  
Michael Barber ◽  
Rosie M. Walker ◽  
Archie Campbell ◽  
...  

Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates, so the genetic contribution to variation in obesity-related traits cannot be accurately assessed. Some studies have described interactions between a few individual genes linked to obesity and environmental variables but there is no agreement on their total contribution to differences between individuals. Here we compared self-reported smoking data and a methylation-based proxy to explore the effect of smoking and genome-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain. Our results indicate that exploiting omic measures can improve models for complex traits such as obesity and can be used as a substitute for, or jointly with, environmental records to better understand causes of disease.


2016 ◽  
Vol 48 (1) ◽  
Author(s):  
Arianna Manunza ◽  
Antonia Noce ◽  
Juan Manuel Serradilla ◽  
Félix Goyache ◽  
Amparo Martínez ◽  
...  

2019 ◽  
Vol 85 (7) ◽  
Author(s):  
Zhong Xu ◽  
Yuanyuan Li ◽  
Yemin Wang ◽  
Zixin Deng ◽  
Meifeng Tao

ABSTRACTStreptomycesspecies are important antibiotic-producing organisms that tightly regulate their antibiotic production. Actinorhodin is a typical antibiotic produced by the model actinomyceteStreptomyces coelicolor. To discover the regulators of actinorhodin production, we constructed a library of 50,000 independent mutants with hyperactive Tn5transposase-based transposition systems. Five hundred fifty-one genes were found to influence actinorhodin production in 988 individual mutants. Genetic complementation suggested that most of the insertions (76%) were responsible for the changes in antibiotic production. Genes involved in diverse cellular processes such as amino acid biosynthesis, carbohydrate metabolism, cell wall homeostasis, and DNA metabolism affected actinorhodin production. Genome-wide mutagenesis can identify novel genes and pathways that impact antibiotic levels, potentially aiding in engineering strains to optimize the production of antibiotics inStreptomyces.IMPORTANCEPrevious studies have shown that various genes can influence antibiotic production inStreptomycesand that intercommunication between regulators can complicate antibiotic production. Therefore, to gain a better understanding of antibiotic regulation, a genome-wide perspective on genes that influence antibiotic production was needed. We searched for genes that affected production of the antibiotic actinorhodin using a genome-wide gene disruption system. We identified 551 genes that altered actinorhodin levels, and more than half of these genes were newly identified effectors. Some of these genes may be candidates for engineeringStreptomycesstrains to improve antibiotic production levels.


2021 ◽  
Author(s):  
Scott Hotaling ◽  
Thomas Desvignes ◽  
John S. Sproul ◽  
Luana S.F. Lins ◽  
Joanna L Kelley

Long-read sequencing is driving a new reality for genome science where highly contiguous assemblies can be produced efficiently with modest resources. Genome assemblies from long-read sequencing are particularly exciting for understanding the evolution of complex genomic regions that are often difficult to assemble. In this study, we leveraged long-read sequencing to generate a high-quality genome assembly for an Antarctic eelpout, Opthalmolycus amberensis, the first for the globally distributed family Zoarcidae. We used this assembly to understand how O. amberensis has adapted to the harsh Southern Ocean and compared it to another group of Antarctic fishes: the notothenioids. We showed that from a genome-wide perspective, selection has largely acted on different targets in eelpouts relative to notothenioids. However, we did find some overlap; in both groups, selection has acted on genes involved in membrane structure and DNA repair. We found evidence for historical shifts of transposable element activity in O. amberensis and other polar fishes, perhaps reflecting a response to environmental change. We were specifically interested in the evolution of two complex genomic regions known to underlie key adaptations to polar seas: hemoglobin and antifreeze proteins (AFPs). We observed unique evolution of the hemoglobin MN cluster in eelpouts and related fishes in the suborder Zoarcoidei relative to other teleosts. For AFPs, we identified the first species in the suborder with no evidence of afpIII sequences (Cebidichthys violaceus), potentially reflecting a lineage-specific loss of this gene cluster. Beyond polar fishes, our results highlight the power of long-read sequencing to understand genome evolution.


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