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Ruan M, Xu F, Li N, Yu J, Teng F, Tang J, Huang C, Zhu H. Free long-chain fatty acids trigger early postembryonic development in starved Caenorhabditis elegans by suppressing mTORC1. PLoS Biol 2024; 22:e3002841. [PMID: 39436954 PMCID: PMC11530034 DOI: 10.1371/journal.pbio.3002841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/01/2024] [Accepted: 09/14/2024] [Indexed: 10/25/2024] Open
Abstract
Postembryonic development of animals has long been considered an internally predetermined program, while macronutrients were believed to be essential solely for providing biomatters and energy to support this process. However, in this study, by using a nematode Caenorhabditis elegans (abbreviated as C. elegans hereafter) model, we surprisingly discovered that dietary supplementation of palmitic acid alone, rather than other abundant essential nutrients such as glucose or amino acid mixture, was sufficient to initiate early postembryonic development even under complete macronutrient deprivation. Such a development was evidenced by changes in morphology, cellular markers in multiple tissues, behaviors, and the global transcription pattern and it occurred earlier than the well-known early L1 nutrient checkpoint. Mechanistically, palmitic acid did not function as a biomatter/energy provider, but rather as a ligand to activate the nuclear hormone receptor NHR-49/80, leading to the production of an unknown peroxisome-derived secretive hormone in the intestine. This hormonal signal was received by chemosensory neurons in the head, regulating the insulin-like neuropeptide secretion and its downstream nuclear receptor to orchestrate global development. Additionally, the nutrient-sensing hub mTORC1 played a negative role in this process. In conclusion, our data indicate that free fatty acids act as a primary nutrient signal to launch the early development in C. elegans, which suggests that specific nutrients, rather than the internal genetic program, serve as the first impetus for postembryonic development.
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Affiliation(s)
- Meiyu Ruan
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Fan Xu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Na Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jing Yu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fukang Teng
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jiawei Tang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Cheng Huang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Huanhu Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
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2
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Pires da Silva A, Kelleher R, Reynoldson L. Decoding lifespan secrets: the role of the gonad in Caenorhabditis elegans aging. FRONTIERS IN AGING 2024; 5:1380016. [PMID: 38605866 PMCID: PMC11008531 DOI: 10.3389/fragi.2024.1380016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/18/2024] [Indexed: 04/13/2024]
Abstract
The gonad has become a central organ for understanding aging in C. elegans, as removing the proliferating stem cells in the germline results in significant lifespan extension. Similarly, when starvation in late larval stages leads to the quiescence of germline stem cells the adult nematode enters reproductive diapause, associated with an extended lifespan. This review summarizes recent advancements in identifying the mechanisms behind gonad-mediated lifespan extension, including comparisons with other nematodes and the role of lipid signaling and transcriptional changes. Given that the gonad also mediates lifespan regulation in other invertebrates and vertebrates, elucidating the underlying mechanisms may help to gain new insights into the mechanisms and evolution of aging.
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3
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Wibisono P, Sun J. Pathogen infection induces specific transgenerational modifications to gene expression and fitness in Caenorhabditis elegans. Front Physiol 2023; 14:1225858. [PMID: 37811492 PMCID: PMC10556243 DOI: 10.3389/fphys.2023.1225858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
How pathogen infection in a parental generation affects response in future generations to the same pathogen via epigenetic modifications has been the topic of recent studies. These studies focused on changes attributed to transgenerational epigenetic inheritance and how these changes cause an observable difference in behavior or immune response in a population. However, we questioned if pathogen infection causes hidden epigenetic changes to fitness that are not observable at the population level. Using the nematode Caenorhabditis elegans as a model organism, we examined the generation-to-generation differences in survival of both an unexposed and primed lineage of animals against a human opportunistic pathogen Salmonella enterica. We discovered that training a lineage of C. elegans against a specific pathogen does not cause a significant change to overall survival, but rather narrows survival variability between generations. Quantification of gene expression revealed reduced variation of a specific member of the TFEB lipophagic pathway. We also provided the first report of a repeating pattern of survival times over the course of 12 generations in the control lineage of C. elegans. This repeating pattern indicates that the variability in survival between generations of the control lineage is not random but may be regulated by unknown mechanisms. Overall, our study indicates that pathogen infection can cause specific phenotypic changes due to epigenetic modifications, and a possible system of epigenetic regulation between generations.
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Affiliation(s)
- Phillip Wibisono
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Jingru Sun
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
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4
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Ribeiro C, Farmer CK, de Magalhães JP, Freitas AA. Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features. Aging (Albany NY) 2023; 15:6073-6099. [PMID: 37450404 PMCID: PMC10373959 DOI: 10.18632/aging.204866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 06/19/2023] [Indexed: 07/18/2023]
Abstract
Recently, there has been a growing interest in the development of pharmacological interventions targeting ageing, as well as in the use of machine learning for analysing ageing-related data. In this work, we use machine learning methods to analyse data from DrugAge, a database of chemical compounds (including drugs) modulating lifespan in model organisms. To this end, we created four types of datasets for predicting whether or not a compound extends the lifespan of C. elegans (the most frequent model organism in DrugAge), using four different types of predictive biological features, based on: compound-protein interactions, interactions between compounds and proteins encoded by ageing-related genes, and two types of terms annotated for proteins targeted by the compounds, namely Gene Ontology (GO) terms and physiology terms from the WormBase's Phenotype Ontology. To analyse these datasets, we used a combination of feature selection methods in a data pre-processing phase and the well-established random forest algorithm for learning predictive models from the selected features. In addition, we interpreted the most important features in the two best models in light of the biology of ageing. One noteworthy feature was the GO term "Glutathione metabolic process", which plays an important role in cellular redox homeostasis and detoxification. We also predicted the most promising novel compounds for extending lifespan from a list of previously unlabelled compounds. These include nitroprusside, which is used as an antihypertensive medication. Overall, our work opens avenues for future work in employing machine learning to predict novel life-extending compounds.
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Affiliation(s)
- Caio Ribeiro
- School of Computing, University of Kent, Canterbury, Kent, UK
| | | | - João Pedro de Magalhães
- Genomics of Ageing and Rejuvenation Lab, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Alex A. Freitas
- School of Computing, University of Kent, Canterbury, Kent, UK
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5
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Bresgen N, Kovacs M, Lahnsteiner A, Felder TK, Rinnerthaler M. The Janus-Faced Role of Lipid Droplets in Aging: Insights from the Cellular Perspective. Biomolecules 2023; 13:912. [PMID: 37371492 PMCID: PMC10301655 DOI: 10.3390/biom13060912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/22/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
It is widely accepted that nine hallmarks-including mitochondrial dysfunction, epigenetic alterations, and loss of proteostasis-exist that describe the cellular aging process. Adding to this, a well-described cell organelle in the metabolic context, namely, lipid droplets, also accumulates with increasing age, which can be regarded as a further aging-associated process. Independently of their essential role as fat stores, lipid droplets are also able to control cell integrity by mitigating lipotoxic and proteotoxic insults. As we will show in this review, numerous longevity interventions (such as mTOR inhibition) also lead to strong accumulation of lipid droplets in Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, and mammalian cells, just to name a few examples. In mammals, due to the variety of different cell types and tissues, the role of lipid droplets during the aging process is much more complex. Using selected diseases associated with aging, such as Alzheimer's disease, Parkinson's disease, type II diabetes, and cardiovascular disease, we show that lipid droplets are "Janus"-faced. In an early phase of the disease, lipid droplets mitigate the toxicity of lipid peroxidation and protein aggregates, but in a later phase of the disease, a strong accumulation of lipid droplets can cause problems for cells and tissues.
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Affiliation(s)
- Nikolaus Bresgen
- Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, 5020 Salzburg, Austria; (N.B.)
| | - Melanie Kovacs
- Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, 5020 Salzburg, Austria; (N.B.)
| | - Angelika Lahnsteiner
- Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, 5020 Salzburg, Austria; (N.B.)
| | - Thomas Klaus Felder
- Department of Laboratory Medicine, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Mark Rinnerthaler
- Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, 5020 Salzburg, Austria; (N.B.)
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6
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Wang Y, Guo K, Wang Q, Zhong G, Zhang W, Jiang Y, Mao X, Li X, Huang Z. Caenorhabditis elegans as an emerging model in food and nutrition research: importance of standardizing base diet. Crit Rev Food Sci Nutr 2022; 64:3167-3185. [PMID: 36200941 DOI: 10.1080/10408398.2022.2130875] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
As a model organism that has helped revolutionize life sciences, Caenorhabditis elegans has been increasingly used in nutrition research. Here we explore the tradeoffs between pros and cons of its use as a dietary model based primarily on literature review from the past decade. We first provide an overview of its experimental strengths as an animal model, focusing on lifespan and healthspan, behavioral and physiological phenotypes, and conservation of key nutritional pathways. We then summarize recent advances of its use in nutritional studies, e.g. food preference and feeding behavior, sugar status and metabolic reprogramming, lifetime and transgenerational nutrition tracking, and diet-microbiota-host interactions, highlighting cutting-edge technologies originated from or developed in C. elegans. We further review current challenges of using C. elegans as a nutritional model, followed by in-depth discussions on potential solutions. In particular, growth scales and throughputs, food uptake mode, and axenic culture of C. elegans are appraised in the context of food research. We also provide perspectives for future development of chemically defined nematode food ("NemaFood") for C. elegans, which is now widely accepted as a versatile and affordable in vivo model and has begun to show transformative potential to pioneer nutrition science.
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Affiliation(s)
- Yuqing Wang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou, China
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
| | - Kaixin Guo
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou, China
- The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Qiangqiang Wang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou, China
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
| | - Guohuan Zhong
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou, China
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Wenjun Zhang
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yiyi Jiang
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
- Perfect Life & Health Institute, Zhongshan, Guangdong, China
| | - Xinliang Mao
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
- Perfect Life & Health Institute, Zhongshan, Guangdong, China
| | - Xiaomin Li
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
- Perfect Life & Health Institute, Zhongshan, Guangdong, China
| | - Zebo Huang
- Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou, China
- Guangdong Province Key Laboratory for Biocosmetics, Guangzhou, China
- Center for Bioresources and Drug Discovery, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
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7
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Microbiomes: How a gut bacterium promotes healthier living in a nematode. Curr Biol 2022; 32:R428-R430. [DOI: 10.1016/j.cub.2022.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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Udayakumar P, Das R, Kannadasan A. Significance of probiotics in remodeling the gut consortium to enhance the immunity of Caenorhabditis elegans. Genesis 2021; 59:e23454. [PMID: 34664387 DOI: 10.1002/dvg.23454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 11/10/2022]
Abstract
In the recent past, Caenorhabditis elegans has emerged as one of the leading nematode models for studying host-microbe interactions on molecular, cellular, or organismal levels. In general, morphological and functional similarities of the gut of C. elegans with respect to that of human has brought in speculations on the study of the intestinal microbiota. On the other hand, probiotics have proved their efficacy in metabolism, development, and pathogenesis thereby inducing an immune response in C. elegans. Nurturing C. elegans with probiotics has led to immunomodulatory effects in the intestinal microbiota, proposing C. elegans as one of the in vivo screening criteria to select potential probiotic bacteria for host health-promoting factors. The major prospect of these probiotics is to exert longevity toward the host in diverse environmental conditions. The extent of research on probiotic metabolism has shed light on mechanisms of the immunomodulatory effect exerted by the nematode model. This review discusses various aspects of the effects of probiotics in improving the health and mechanisms involved in conferring immunity in C. elegans.
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Affiliation(s)
- Prithika Udayakumar
- Dr. APJ Abdul Kalam Centre for Excellence in Innovation and Entrepreneurship, Dr. M.G.R. Educational and Research Institute, Chennai, India
| | - Reena Das
- Dr. APJ Abdul Kalam Centre for Excellence in Innovation and Entrepreneurship, Dr. M.G.R. Educational and Research Institute, Chennai, India
| | - Anandbabu Kannadasan
- Dr. APJ Abdul Kalam Centre for Excellence in Innovation and Entrepreneurship, Dr. M.G.R. Educational and Research Institute, Chennai, India
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9
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Walker MD, Giese GE, Holdorf AD, Bhattacharya S, Diot C, García-González AP, Horowitz BB, Lee YU, Leland T, Li X, Mirza Z, Na H, Nanda S, Ponomarova O, Zhang H, Zhang J, Yilmaz LS, Walhout AJM. WormPaths: Caenorhabditis elegans metabolic pathway annotation and visualization. Genetics 2021; 219:iyab089. [PMID: 34117752 PMCID: PMC8864737 DOI: 10.1093/genetics/iyab089] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 05/28/2021] [Indexed: 11/29/2022] Open
Abstract
In our group, we aim to understand metabolism in the nematode Caenorhabditis elegans and its relationships with gene expression, physiology, and the response to therapeutic drugs. Visualization of the metabolic pathways that comprise the metabolic network is extremely useful for interpreting a wide variety of experiments. Detailed annotated metabolic pathway maps for C. elegans are mostly limited to pan-organismal maps, many with incomplete or inaccurate pathway and enzyme annotations. Here, we present WormPaths, which is composed of two parts: (1) the careful manual annotation of metabolic genes into pathways, categories, and levels, and (2) 62 pathway maps that include metabolites, metabolite structures, genes, reactions, and pathway connections between maps. These maps are available on the WormFlux website. We show that WormPaths provides easy-to-navigate maps and that the different levels in WormPaths can be used for metabolic pathway enrichment analysis of transcriptomic data. In the future, we envision further developing these maps to be more interactive, analogous to road maps that are available on mobile devices.
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Affiliation(s)
- Melissa D Walker
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Gabrielle E Giese
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Amy D Holdorf
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Sushila Bhattacharya
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Cédric Diot
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Aurian P García-González
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Brent B Horowitz
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Yong-Uk Lee
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Thomas Leland
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Xuhang Li
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Zeynep Mirza
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Huimin Na
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Shivani Nanda
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Olga Ponomarova
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Hefei Zhang
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Jingyan Zhang
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - L Safak Yilmaz
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
| | - Albertha J M Walhout
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01609, USA
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10
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Radeke LJ, Herman MA. Take a Walk to the Wild Side of Caenorhabditis elegans-Pathogen Interactions. Microbiol Mol Biol Rev 2021; 85:e00146-20. [PMID: 33731489 PMCID: PMC8139523 DOI: 10.1128/mmbr.00146-20] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Microbiomes form intimate functional associations with their hosts. Much has been learned from correlating changes in microbiome composition to host organismal functions. However, in-depth functional studies require the manipulation of microbiome composition coupled with the precise interrogation of organismal physiology-features available in few host study systems. Caenorhabditis elegans has proven to be an excellent genetic model organism to study innate immunity and, more recently, microbiome interactions. The study of C. elegans-pathogen interactions has provided in depth understanding of innate immune pathways, many of which are conserved in other animals. However, many bacteria were chosen for these studies because of their convenience in the lab setting or their implication in human health rather than their native interactions with C. elegans In their natural environment, C. elegans feed on a variety of bacteria found in rotting organic matter, such as rotting fruits, flowers, and stems. Recent work has begun to characterize the native microbiome and has identified a common set of bacteria found in the microbiome of C. elegans While some of these bacteria are beneficial to C. elegans health, others are detrimental, leading to a complex, multifaceted understanding of bacterium-nematode interactions. Current research on nematode-bacterium interactions is focused on these native microbiome components, both their interactions with each other and with C. elegans We will summarize our knowledge of bacterial pathogen-host interactions in C. elegans, as well as recent work on the native microbiome, and explore the incorporation of these bacterium-nematode interactions into studies of innate immunity and pathogenesis.
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Affiliation(s)
- Leah J Radeke
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Michael A Herman
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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11
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Robles P, Turner A, Zuco G, Adams S, Paganopolou P, Winton M, Hill B, Kache V, Bateson C, Pires-daSilva A. Parental energy-sensing pathways control intergenerational offspring sex determination in the nematode Auanema freiburgensis. BMC Biol 2021; 19:102. [PMID: 34001117 PMCID: PMC8130380 DOI: 10.1186/s12915-021-01032-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 04/20/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Environmental stimuli experienced by the parental generation influence the phenotype of subsequent generations (Demoinet et al., Proc Natl Acad Sci U S A 114:E2689-E2698, 2017; Burton et al., Nat Cell Biol 19:252-257, 2017; Agrawal et al., Nature 401:60-63, 1999). The effects of these stimuli on the parental generation may be passed through the germline, but the mechanisms at the basis of this non-Mendelian type of inheritance, their level of conservation, how they lead to adaptive vs non-adaptive, and intergenerational vs transgenerational inheritance are poorly understood. Here we show that modulation of nutrient-sensing pathways in the parental generation of the nematode Auanema freiburgensis regulates phenotypic plasticity of its offspring. RESULTS In response to con-specific pheromones indicative of stress, AMP-activated protein kinase (AMPK), mechanistic target of rapamycin complex 1 (mTORC1), and insulin signaling regulate stress resistance and sex determination across one generation, and these effects can be mimicked by pathway modulators. The effectors of these pathways are closely associated with the chromatin, and their regulation affects the chromatin acetylation status in the germline. CONCLUSION These results suggest that highly conserved metabolic sensors regulate phenotypic plasticity through regulation of subcellular localization of their effectors, leading to changes in chromatin acetylation and epigenetic status of the germline.
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Affiliation(s)
- Pedro Robles
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Anisa Turner
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Giusy Zuco
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Sally Adams
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | | | - Michael Winton
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Beth Hill
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK
| | - Vikas Kache
- Department of Biology, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - Christine Bateson
- Department of Biology, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - Andre Pires-daSilva
- School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK.
- Department of Biology, University of Texas at Arlington, Arlington, TX, 76019, USA.
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12
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Walker MD, Giese GE, Holdorf AD, Bhattacharya S, Diot C, García-González AP, Horowitz B, Lee YU, Leland T, Li X, Mirza Z, Na H, Nanda S, Ponomarova O, Zhang H, Zhang J, Yilmaz LS, Walhout AJ. WormPaths: Caenorhabditis elegans metabolic pathway annotation and visualization. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.12.22.424026. [PMID: 33398287 PMCID: PMC7781331 DOI: 10.1101/2020.12.22.424026] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
In our group, we aim to understand metabolism in the nematode Caenorhabditis elegans and its relationships with gene expression, physiology and the response to therapeutic drugs. On March 15, 2020, a stay-at-home order was put into effect in the state of Massachusetts, USA, to flatten the curve of the spread of the novel SARS-CoV2 virus that causes COVID-19. For biomedical researchers in our state, this meant putting a hold on experiments for nine weeks until May 18, 2020. To keep the lab engaged and productive, and to enhance communication and collaboration, we embarked on an in-lab project that we all found important but that we never had the time for: the detailed annotation and drawing of C. elegans metabolic pathways. As a result, we present WormPaths, which is composed of two parts: 1) the careful manual annotation of metabolic genes into pathways, categories and levels, and 2) 66 pathway maps that include metabolites, metabolite structures, genes, reactions, and pathway connections between maps. These maps are available on our WormFlux website. We show that WormPaths provides easy-to-navigate maps and that the different levels in WormPaths can be used for metabolic pathway enrichment analysis of transcriptomic data. In the unfortunate event of additional lockdowns, we envision further developing these maps to be more interactive, with an analogy of road maps that are available on mobile devices.
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Affiliation(s)
| | | | | | - Sushila Bhattacharya
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Cédric Diot
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Aurian P. García-González
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Brent Horowitz
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Yong-Uk Lee
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Thomas Leland
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Xuhang Li
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Zeynep Mirza
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Huimin Na
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Shivani Nanda
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Olga Ponomarova
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Hefei Zhang
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | | | - L. Safak Yilmaz
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Albertha J.M. Walhout
- Program in Systems Biology and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
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