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Shoer S, Shilo S, Godneva A, Ben-Yacov O, Rein M, Wolf BC, Lotan-Pompan M, Bar N, Weiss EI, Houri-Haddad Y, Pilpel Y, Weinberger A, Segal E. Impact of dietary interventions on pre-diabetic oral and gut microbiome, metabolites and cytokines. Nat Commun 2023; 14:5384. [PMID: 37666816 PMCID: PMC10477304 DOI: 10.1038/s41467-023-41042-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/17/2023] [Indexed: 09/06/2023] Open
Abstract
Diabetes and associated comorbidities are a global health threat on the rise. We conducted a six-month dietary intervention in pre-diabetic individuals (NCT03222791), to mitigate the hyperglycemia and enhance metabolic health. The current work explores early diabetes markers in the 200 individuals who completed the trial. We find 166 of 2,803 measured features, including oral and gut microbial species and pathways, serum metabolites and cytokines, show significant change in response to a personalized postprandial glucose-targeting diet or the standard of care Mediterranean diet. These changes include established markers of hyperglycemia as well as novel features that can now be investigated as potential therapeutic targets. Our results indicate the microbiome mediates the effect of diet on glycemic, metabolic and immune measurements, with gut microbiome compositional change explaining 12.25% of serum metabolites variance. Although the gut microbiome displays greater compositional changes compared to the oral microbiome, the oral microbiome demonstrates more changes at the genetic level, with trends dependent on environmental richness and species prevalence in the population. In conclusion, our study shows dietary interventions can affect the microbiome, cardiometabolic profile and immune response of the host, and that these factors are well associated with each other, and can be harnessed for new therapeutic modalities.
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Affiliation(s)
- Saar Shoer
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center, Petah Tikva, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Bat Chen Wolf
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Ervin I Weiss
- Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Prosthodontics, The Hebrew University-Hadassah School of Dental Medicine, Jerusalem, Israel
| | - Yael Houri-Haddad
- Department of Prosthodontics, The Hebrew University-Hadassah School of Dental Medicine, Jerusalem, Israel
| | - Yitzhak Pilpel
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
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Ben-Yacov O, Godneva A, Rein M, Shilo S, Lotan-Pompan M, Weinberger A, Segal E. Gut microbiome modulates the effects of a personalised postprandial-targeting (PPT) diet on cardiometabolic markers: a diet intervention in pre-diabetes. Gut 2023; 72:1486-1496. [PMID: 37137684 PMCID: PMC10359530 DOI: 10.1136/gutjnl-2022-329201] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 04/17/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVE To explore the interplay between dietary modifications, microbiome composition and host metabolic responses in a dietary intervention setting of a personalised postprandial-targeting (PPT) diet versus a Mediterranean (MED) diet in pre-diabetes. DESIGN In a 6-month dietary intervention, adults with pre-diabetes were randomly assigned to follow an MED or PPT diet (based on a machine-learning algorithm for predicting postprandial glucose responses). Data collected at baseline and 6 months from 200 participants who completed the intervention included: dietary data from self-recorded logging using a smartphone application, gut microbiome data from shotgun metagenomics sequencing of faecal samples, and clinical data from continuous glucose monitoring, blood biomarkers and anthropometrics. RESULTS PPT diet induced more prominent changes to the gut microbiome composition, compared with MED diet, consistent with overall greater dietary modifications observed. Particularly, microbiome alpha-diversity increased significantly in PPT (p=0.007) but not in MED arm (p=0.18). Post hoc analysis of changes in multiple dietary features, including food-categories, nutrients and PPT-adherence score across the cohort, demonstrated significant associations between specific dietary changes and species-level changes in microbiome composition. Furthermore, using causal mediation analysis we detect nine microbial species that partially mediate the association between specific dietary changes and clinical outcomes, including three species (from Bacteroidales, Lachnospiraceae, Oscillospirales orders) that mediate the association between PPT-adherence score and clinical outcomes of hemoglobin A1c (HbA1c), high-density lipoprotein cholesterol (HDL-C) and triglycerides. Finally, using machine-learning models trained on dietary changes and baseline clinical data, we predict personalised metabolic responses to dietary modifications and assess features importance for clinical improvement in cardiometabolic markers of blood lipids, glycaemic control and body weight. CONCLUSIONS Our findings support the role of gut microbiome in modulating the effects of dietary modifications on cardiometabolic outcomes, and advance the concept of precision nutrition strategies for reducing comorbidities in pre-diabetes. TRIAL REGISTRATION NUMBER NCT03222791.
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Affiliation(s)
- Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- School of Public Health, University of Haifa, Haifa, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center, Petah Tikva, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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Rein MS, Dadiani M, Godneva A, Bakalenik-Gavry M, Morzaev-Sulzbach D, Vachnish Y, Kolobkov D, Lotan-Pompan M, Weinberger A, Segal E, Gal-Yam EN. BREAst Cancer Personalised NuTrition (BREACPNT): dietary intervention in breast cancer survivors treated with endocrine therapy - a protocol for a randomised clinical trial. BMJ Open 2022; 12:e062498. [PMID: 36410828 PMCID: PMC9680181 DOI: 10.1136/bmjopen-2022-062498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Breast cancer survivors treated with adjuvant endocrine therapy commonly experience weight gain, which has been associated with low adherence to therapy and worse breast cancer prognosis. We aim to assess whether a personalised postprandial glucose targeting diet will be beneficial for weight management as compared with the recommended Mediterranean diet in this patient population METHODS AND ANALYSIS: The BREAst Cancer Personalised NuTrition study is a phase-2 randomised trial in hormone receptor positive patients with breast cancer, treated with adjuvant endocrine therapy. The study objective is to assess whether dietary intervention intended to improve postprandial glycaemic response to meals results in better weight and glycaemic control in this population as compared with the standard recommended Mediterranean diet. Consenting participants will be assigned in a single blinded fashion to either of two dietary arms (Mediterranean diet or an algorithm-based personalised diet). They will be asked to provide a stool sample for microbiome analysis and will undergo continuous glucose monitoring for 2 weeks, at the initiation and termination of the intervention period. Microbiome composition data will be used to tailor personal dietary recommendations. After randomisation and provision of dietary recommendations, participants will be asked to continuously log their diet and lifestyle activities on a designated smartphone application during the 6-month intervention period, during which they will be monthly monitored by a certified dietitian. Participants' clinical records will be followed twice yearly for 5 years for treatment adherence, disease-free survival and recurrence. ETHICS AND DISSEMINATION The study has been approved by the ethics committee in the Sheba medical centre (file 5725-18-SMC, Ramat Gan, Israel) and the Weizmann Institutional Review Board (file 693-2, Rehovot, Israel). The findings of this study will be published in a peer reviewed publication. TRIAL REGISTRATION NUMBER NCT04079270.
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Affiliation(s)
- Michal Sela Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Dadiani
- Cancer Research Center, Sheba Medical Center, Ramat Gan, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Yaeli Vachnish
- Cancer Research Center, Sheba Medical Center, Ramat Gan, Israel
| | - Dmitry Kolobkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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Rein M, Ben-Yacov O, Godneva A, Shilo S, Zmora N, Kolobkov D, Cohen-Dolev N, Wolf BC, Kosower N, Lotan-Pompan M, Weinberger A, Halpern Z, Zelber-Sagi S, Elinav E, Segal E. Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial. BMC Med 2022; 20:56. [PMID: 35135549 PMCID: PMC8826661 DOI: 10.1186/s12916-022-02254-y] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/12/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Dietary modifications are crucial for managing newly diagnosed type 2 diabetes mellitus (T2DM) and preventing its health complications, but many patients fail to achieve clinical goals with diet alone. We sought to evaluate the clinical effects of a personalized postprandial-targeting (PPT) diet on glycemic control and metabolic health in individuals with newly diagnosed T2DM as compared to the commonly recommended Mediterranean-style (MED) diet. METHODS We enrolled 23 adults with newly diagnosed T2DM (aged 53.5 ± 8.9 years, 48% males) for a randomized crossover trial of two 2-week-long dietary interventions. Participants were blinded to their assignment to one of the two sequence groups: either PPT-MED or MED-PPT diets. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses (PPGR). We further evaluated the long-term effects of PPT diet on glycemic control and metabolic health by an additional 6-month PPT intervention (n = 16). Participants were connected to continuous glucose monitoring (CGM) throughout the study and self-recorded dietary intake using a smartphone application. RESULTS In the crossover intervention, the PPT diet lead to significant lower levels of CGM-based measures as compared to the MED diet, including average PPGR (mean difference between diets, - 19.8 ± 16.3 mg/dl × h, p < 0.001), mean glucose (mean difference between diets, - 7.8 ± 5.5 mg/dl, p < 0.001), and daily time of glucose levels > 140 mg/dl (mean difference between diets, - 2.42 ± 1.7 h/day, p < 0.001). Blood fructosamine also decreased significantly more during PPT compared to MED intervention (mean change difference between diets, - 16.4 ± 37 μmol/dl, p < 0.0001). At the end of 6 months, the PPT intervention leads to significant improvements in multiple metabolic health parameters, among them HbA1c (mean ± SD, - 0.39 ± 0.48%, p < 0.001), fasting glucose (- 16.4 ± 24.2 mg/dl, p = 0.02) and triglycerides (- 49 ± 46 mg/dl, p < 0.001). Importantly, 61% of the participants exhibited diabetes remission, as measured by HbA1c < 6.5%. Finally, some clinical improvements were significantly associated with gut microbiome changes per person. CONCLUSION In this crossover trial in subjects with newly diagnosed T2DM, a PPT diet improved CGM-based glycemic measures significantly more than a Mediterranean-style MED diet. Additional 6-month PPT intervention further improved glycemic control and metabolic health parameters, supporting the clinical efficacy of this approach. TRIAL REGISTRATION ClinicalTrials.gov number, NCT01892956.
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Affiliation(s)
- Michal Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel.,School of Public Health, University of Haifa, 3498838, Haifa, Israel
| | - Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Pediatric Diabetes Unit, Ruth Rappaport Children's Hospital, Rambam Healthcare Campus, Haifa, Israel
| | - Niv Zmora
- Immunology Department, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Digestive Center, Tel Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel.,Internal Medicine Department, Tel Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel
| | - Dmitry Kolobkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Noa Cohen-Dolev
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Bat-Chen Wolf
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Noa Kosower
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Zamir Halpern
- Digestive Center, Tel Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel.,Internal Medicine Department, Tel Aviv Sourasky Medical Center, 6423906, Tel Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, University of Haifa, 3498838, Haifa, Israel
| | - Eran Elinav
- Immunology Department, Weizmann Institute of Science, 7610001, Rehovot, Israel.
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001, Rehovot, Israel. .,Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001, Rehovot, Israel.
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5
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Talmor-Barkan Y, Bar N, Shaul AA, Shahaf N, Godneva A, Bussi Y, Lotan-Pompan M, Weinberger A, Shechter A, Chezar-Azerrad C, Arow Z, Hammer Y, Chechi K, Forslund SK, Fromentin S, Dumas ME, Ehrlich SD, Pedersen O, Kornowski R, Segal E. Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease. Nat Med 2022; 28:295-302. [PMID: 35177859 DOI: 10.1038/s41591-022-01686-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 01/06/2022] [Indexed: 12/29/2022]
Abstract
Complex diseases, such as coronary artery disease (CAD), are often multifactorial, caused by multiple underlying pathological mechanisms. Here, to study the multifactorial nature of CAD, we performed comprehensive clinical and multi-omic profiling, including serum metabolomics and gut microbiome data, for 199 patients with acute coronary syndrome (ACS) recruited from two major Israeli hospitals, and validated these results in a geographically distinct cohort. ACS patients had distinct serum metabolome and gut microbial signatures as compared with control individuals, and were depleted in a previously unknown bacterial species of the Clostridiaceae family. This bacterial species was associated with levels of multiple circulating metabolites in control individuals, several of which have previously been linked to an increased risk of CAD. Metabolic deviations in ACS patients were found to be person specific with respect to their potential genetic or environmental origin, and to correlate with clinical parameters and cardiovascular outcomes. Moreover, metabolic aberrations in ACS patients linked to microbiome and diet were also observed to a lesser extent in control individuals with metabolic impairment, suggesting the involvement of these aberrations in earlier dysmetabolic phases preceding clinically overt CAD. Finally, a metabolomics-based model of body mass index (BMI) trained on the non-ACS cohort predicted higher-than-actual BMI when applied to ACS patients, and the excess BMI predictions independently correlated with both diabetes mellitus (DM) and CAD severity, as defined by the number of vessels involved. These results highlight the utility of the serum metabolome in understanding the basis of risk-factor heterogeneity in CAD.
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Affiliation(s)
- Yeela Talmor-Barkan
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Aviv A Shaul
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Nir Shahaf
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yuval Bussi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Alon Shechter
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Chava Chezar-Azerrad
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ziad Arow
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Yoav Hammer
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Kanta Chechi
- Genomic and Environmental Medicine, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- School of Public Health, Faculty of Medicine, Imperial College London, Medical School Building, St Mary's Hospital, London, UK
| | - Sofia K Forslund
- Experimental and Clinical Research Center, a cooperation of Charité-Universitätsmedizin and the Max-Delbrück Center, Berlin, Germany
- Max Delbrück Center for Molecular Medicine (MDC), Berlin, Germany
- MCharité University Hospital, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Berlin, Germany
| | - Sebastien Fromentin
- University College London, Department of Clinical and Movement Neurosciences, London, UK
| | - Marc-Emmanuel Dumas
- Genomic and Environmental Medicine, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- European Genomics Institute for Diabetes, UMR1283/8199 INSERM, CNRS, Institut Pasteur de Lille, Lille University Hospital, University of Lille, Lille, France
| | - S Dusko Ehrlich
- University College London, Department of Clinical and Movement Neurosciences, London, UK
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Ran Kornowski
- Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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6
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Ben-Yacov O, Godneva A, Rein M, Shilo S, Kolobkov D, Koren N, Cohen Dolev N, Travinsky Shmul T, Wolf BC, Kosower N, Sagiv K, Lotan-Pompan M, Zmora N, Weinberger A, Elinav E, Segal E. Personalized Postprandial Glucose Response-Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes. Diabetes Care 2021; 44:1980-1991. [PMID: 34301736 DOI: 10.2337/dc21-0162] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 06/15/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To compare the clinical effects of a personalized postprandial-targeting (PPT) diet versus a Mediterranean (MED) diet on glycemic control and metabolic health in prediabetes. RESEARCH DESIGN AND METHODS We randomly assigned adults with prediabetes (n = 225) to follow a MED diet or a PPT diet for a 6-month dietary intervention and additional 6-month follow-up. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses. During the intervention, all participants were connected to continuous glucose monitoring (CGM) and self-reported dietary intake using a smartphone application. RESULTS Among 225 participants randomized (58.7% women, mean ± SD age 50 ± 7 years, BMI 31.3 ± 5.8 kg/m2, HbA1c, 5.9 ± 0.2% [41 ± 2.4 mmol/mol], fasting plasma glucose 114 ± 12 mg/dL [6.33 ± 0.67 mmol/L]), 200 (89%) completed the 6-month intervention. A total of 177 participants also contributed 12-month follow-up data. Both interventions reduced the daily time with glucose levels >140 mg/dL (7.8 mmol/L) and HbA1c levels, but reductions were significantly greater in PPT compared with MED. The mean 6-month change in "time above 140" was -0.3 ± 0.8 h/day and -1.3 ± 1.5 h/day for MED and PPT, respectively (95% CI between-group difference -1.29 to -0.66, P < 0.001). The mean 6-month change in HbA1c was -0.08 ± 0.19% (-0.9 ± 2.1 mmol/mol) and -0.16 ± 0.24% (-1.7 ± 2.6 mmol/mol) for MED and PPT, respectively (95% CI between-group difference -0.14 to -0.02, P = 0.007). The significant between-group differences were maintained at 12-month follow-up. No significant differences were noted between the groups in a CGM-measured oral glucose tolerance test. CONCLUSIONS In this clinical trial in prediabetes, a PPT diet improved glycemic control significantly more than a MED diet as measured by daily time of glucose levels >140 mg/dL (7.8 mmol/L) and HbA1c. These findings may have implications for dietary advice in clinical practice.
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Affiliation(s)
- Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,School of Public Health, University of Haifa, Haifa, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Pediatric Diabetes Unit, Ruth Rappaport Children's Hospital, Rambam Healthcare Campus, Haifa, Israel
| | - Dmitry Kolobkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Netta Koren
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Cohen Dolev
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Tamara Travinsky Shmul
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Bat Chen Wolf
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Kosower
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Keren Sagiv
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Niv Zmora
- Immunology Department, Weizmann Institute of Science, Rehovot, Israel.,Digestive Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Internal Medicine Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Elinav
- Immunology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel .,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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7
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Shilo S, Bar N, Keshet A, Talmor-Barkan Y, Rossman H, Godneva A, Aviv Y, Edlitz Y, Reicher L, Kolobkov D, Wolf BC, Lotan-Pompan M, Levi K, Cohen O, Saranga H, Weinberger A, Segal E. 10 K: a large-scale prospective longitudinal study in Israel. Eur J Epidemiol 2021; 36:1187-1194. [PMID: 33993378 DOI: 10.1007/s10654-021-00753-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 04/16/2021] [Indexed: 11/28/2022]
Abstract
The 10 K is a large-scale prospective longitudinal cohort and biobank that was established in Israel. The primary aims of the study include development of prediction models for disease onset and progression and identification of novel molecular markers with a diagnostic, prognostic and therapeutic value. The recruitment was initiated in 2018 and is expected to complete in 2021. Between 28/01/2019 and 13/12/2020, 4,629 from the expected 10,000 participants were recruited (46 %). Follow-up visits are scheduled every year for a total of 25 years. The cohort includes individuals between the ages of 40 and 70 years. Predefined medical conditions were determined as exclusions. Information collected at baseline includes medical history, lifestyle and nutritional habits, vital signs, anthropometrics, blood tests results, Electrocardiography, Ankle-brachial pressure index (ABI), liver US and Dual-energy X-ray absorptiometry (DXA) tests. Molecular profiling includes transcriptome, proteome, gut and oral microbiome, metabolome and immune system profiling. Continuous measurements include glucose levels using a continuous glucose monitoring device for 2 weeks and sleep monitoring by a home sleep apnea test device for 3 nights. Blood and stool samples are collected and stored at - 80 °C in a storage facility for future research. Linkage is being established with national disease registries.
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Affiliation(s)
- Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Pediatric Diabetes Clinic, Institute of Diabetes, Endocrinology and Metabolism, Rambam Health Care Campus, Haifa, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ayya Keshet
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yeela Talmor-Barkan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Department of Cardiology, Rabin Medical Center, Petah-Tikva, Israel
| | - Hagai Rossman
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yaron Aviv
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Department of Cardiology, Rabin Medical Center, Petah-Tikva, Israel
| | - Yochai Edlitz
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Lee Reicher
- Tel Aviv Sourasky Medical Center, Lis Hospital for Women, Tel Aviv, Israel
| | - Dmitry Kolobkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Bat Chen Wolf
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Kohava Levi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ori Cohen
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Hila Saranga
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. .,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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8
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Levi I, Gurevich M, Perlman G, Magalashvili D, Menascu S, Bar N, Godneva A, Zahavi L, Chermon D, Kosower N, Wolf BC, Malka G, Lotan-Pompan M, Weinberger A, Yirmiya E, Rothschild D, Leviatan S, Tsur A, Didkin M, Dreyer S, Eizikovitz H, Titngi Y, Mayost S, Sonis P, Dolev M, Stern Y, Achiron A, Segal E. Potential role of indolelactate and butyrate in multiple sclerosis revealed by integrated microbiome-metabolome analysis. Cell Rep Med 2021; 2:100246. [PMID: 33948576 PMCID: PMC8080254 DOI: 10.1016/j.xcrm.2021.100246] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 01/18/2021] [Accepted: 03/18/2021] [Indexed: 12/12/2022]
Abstract
Multiple sclerosis (MS) is an immune-mediated disease whose precise etiology is unknown. Several studies found alterations in the microbiome of individuals with MS, but the mechanism by which it may affect MS is poorly understood. Here we analyze the microbiome of 129 individuals with MS and find that they harbor distinct microbial patterns compared with controls. To study the functional consequences of these differences, we measure levels of 1,251 serum metabolites in a subgroup of subjects and unravel a distinct metabolite signature that separates affected individuals from controls nearly perfectly (AUC = 0.97). Individuals with MS are found to be depleted in butyrate-producing bacteria and in bacteria that produce indolelactate, an intermediate in generation of the potent neuroprotective antioxidant indolepropionate, which we found to be lower in their serum. We identify microbial and metabolite candidates that may contribute to MS and should be explored further for their causal role and therapeutic potential.
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Affiliation(s)
- Izhak Levi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Michael Gurevich
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Gal Perlman
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - David Magalashvili
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Shay Menascu
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv 69978, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Liron Zahavi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Danyel Chermon
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Noa Kosower
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Bat Chen Wolf
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Gal Malka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Erez Yirmiya
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Daphna Rothschild
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Sigal Leviatan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Avishag Tsur
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Maria Didkin
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Sapir Dreyer
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Hen Eizikovitz
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Yamit Titngi
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Sue Mayost
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Polina Sonis
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Mark Dolev
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Yael Stern
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
| | - Anat Achiron
- Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Ramat-Gan 526200, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv 69978, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
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9
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Kalaora S, Nagler A, Nejman D, Alon M, Barbolin C, Barnea E, Ketelaars SLC, Cheng K, Vervier K, Shental N, Bussi Y, Rotkopf R, Levy R, Benedek G, Trabish S, Dadosh T, Levin-Zaidman S, Geller LT, Wang K, Greenberg P, Yagel G, Peri A, Fuks G, Bhardwaj N, Reuben A, Hermida L, Johnson SB, Galloway-Peña JR, Shropshire WC, Bernatchez C, Haymaker C, Arora R, Roitman L, Eilam R, Weinberger A, Lotan-Pompan M, Lotem M, Admon A, Levin Y, Lawley TD, Adams DJ, Levesque MP, Besser MJ, Schachter J, Golani O, Segal E, Geva-Zatorsky N, Ruppin E, Kvistborg P, Peterson SN, Wargo JA, Straussman R, Samuels Y. Identification of bacteria-derived HLA-bound peptides in melanoma. Nature 2021; 592:138-143. [PMID: 33731925 PMCID: PMC9717498 DOI: 10.1038/s41586-021-03368-8] [Citation(s) in RCA: 159] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/17/2021] [Indexed: 01/31/2023]
Abstract
A variety of species of bacteria are known to colonize human tumours1-11, proliferate within them and modulate immune function, which ultimately affects the survival of patients with cancer and their responses to treatment12-14. However, it is not known whether antigens derived from intracellular bacteria are presented by the human leukocyte antigen class I and II (HLA-I and HLA-II, respectively) molecules of tumour cells, or whether such antigens elicit a tumour-infiltrating T cell immune response. Here we used 16S rRNA gene sequencing and HLA peptidomics to identify a peptide repertoire derived from intracellular bacteria that was presented on HLA-I and HLA-II molecules in melanoma tumours. Our analysis of 17 melanoma metastases (derived from 9 patients) revealed 248 and 35 unique HLA-I and HLA-II peptides, respectively, that were derived from 41 species of bacteria. We identified recurrent bacterial peptides in tumours from different patients, as well as in different tumours from the same patient. Our study reveals that peptides derived from intracellular bacteria can be presented by tumour cells and elicit immune reactivity, and thus provides insight into a mechanism by which bacteria influence activation of the immune system and responses to therapy.
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Affiliation(s)
- Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Nagler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Deborah Nejman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Chaya Barbolin
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eilon Barnea
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | - Steven L C Ketelaars
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kuoyuan Cheng
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | | | - Noam Shental
- Department of Mathematics and Computer Science, Open University of Israel, Raanana, Israel
| | - Yuval Bussi
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Ron Rotkopf
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gil Benedek
- Tissue Typing and Immunogenetics Unit, Hadassah Medical Center, Jerusalem, Israel
| | - Sophie Trabish
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Tali Dadosh
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Levin-Zaidman
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Leore T Geller
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Kun Wang
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Polina Greenberg
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gal Yagel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Aviyah Peri
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Garold Fuks
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Neerupma Bhardwaj
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Alexandre Reuben
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leandro Hermida
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sarah B Johnson
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Chantale Bernatchez
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reetakshi Arora
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lior Roitman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Raya Eilam
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Lotem
- Sharett Institute of Oncology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Arie Admon
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | - Yishai Levin
- The de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Mitchell P Levesque
- Faculty of Medicine, University of Zurich Hospital, University of Zurich, Zurich, Switzerland
| | - Michal J Besser
- The Ella Lemelbaum Institute for Immuno Oncology and Melanoma, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jacob Schachter
- The Ella Lemelbaum Institute for Immuno Oncology and Melanoma, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Naama Geva-Zatorsky
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- MaRS Centre, Canadian Institute for Advanced Research (CIFAR) Azrieli Global Scholar, Toronto, Ontario, Canada
| | - Eytan Ruppin
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Pia Kvistborg
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Scott N Peterson
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravid Straussman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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10
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Bar J, Sarig O, Lotan-Pompan M, Dassa B, Miodovnik M, Weinberger A, Sprecher E, Segal E, Samuelov L. Evidence for cutaneous dysbiosis in dystrophic epidermolysis bullosa. Clin Exp Dermatol 2021; 46:1223-1229. [PMID: 33682945 DOI: 10.1111/ced.14592] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 01/10/2021] [Accepted: 02/01/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND The human microbiome project addresses the relationship between bacterial flora and the human host, in both healthy and diseased conditions. The skin is an ecosystem with multiple niches, each featuring unique physiological conditions and thus hosting different bacterial populations. The skin microbiome has been implicated in the pathogenesis of many dermatoses. Given the role of dysbiosis in the pathogenesis of inflammation, which is prominent in dystrophic epidermolysis bullosa (DEB), we undertook a study on the skin microbiome. AIM To characterize the skin microbiome in a series of patients with DEB. METHODS This was a case-control study of eight patients with DEB and nine control cases enrolled between June 2017 and November 2018. The skin of patients with DEB was sampled at three different sites: untreated wound, perilesional skin and normal-appearing (uninvolved) skin. Normal skin on the forearm was sampled from age-matched healthy controls (HCs). We used a dedicated DNA extraction protocol to isolate microbial DNA, which was then analysed using next-generation microbial 16S rRNA sequencing. Data were analysed using a series of advanced bioinformatics tools. RESULTS The wounds, perilesional and uninvolved skin of patients with DEB demonstrated reduced bacterial diversity compared with HCs, with the flora in DEB wounds being the least diverse. We found an increased prevalence of staphylococci species in the lesional and perilesional skin of patients with DEB, compared with their uninvolved, intact skin. Similarly, the uninvolved skin of patients with DEB displayed increased staphylococcal content and significantly different microbiome diversities (other than staphylococci) compared with HC skin. CONCLUSIONS These findings suggest the existence of a unique DEB-associated skin microbiome signature, which could be targeted by specific pathogen-directed therapies. Moreover, altering the skin microbiome with increasing colonization of bacteria associated with nonchronic wounds may potentially facilitate wound healing in patients with DEB.
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Affiliation(s)
- J Bar
- Division of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - O Sarig
- Division of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - M Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - B Dassa
- Bioinformatics Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - M Miodovnik
- Division of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - A Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - E Sprecher
- Division of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - E Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - L Samuelov
- Division of Dermatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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11
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Bar N, Korem T, Weissbrod O, Zeevi D, Rothschild D, Leviatan S, Kosower N, Lotan-Pompan M, Weinberger A, Le Roy CI, Menni C, Visconti A, Falchi M, Spector TD, Adamski J, Franks PW, Pedersen O, Segal E. A reference map of potential determinants for the human serum metabolome. Nature 2020; 588:135-140. [DOI: 10.1038/s41586-020-2896-2] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 09/29/2020] [Indexed: 12/13/2022]
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12
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Nejman D, Livyatan I, Fuks G, Gavert N, Zwang Y, Geller LT, Rotter-Maskowitz A, Weiser R, Mallel G, Gigi E, Meltser A, Douglas GM, Kamer I, Gopalakrishnan V, Dadosh T, Levin-Zaidman S, Avnet S, Atlan T, Cooper ZA, Arora R, Cogdill AP, Khan MAW, Ologun G, Bussi Y, Weinberger A, Lotan-Pompan M, Golani O, Perry G, Rokah M, Bahar-Shany K, Rozeman EA, Blank CU, Ronai A, Shaoul R, Amit A, Dorfman T, Kremer R, Cohen ZR, Harnof S, Siegal T, Yehuda-Shnaidman E, Gal-Yam EN, Shapira H, Baldini N, Langille MGI, Ben-Nun A, Kaufman B, Nissan A, Golan T, Dadiani M, Levanon K, Bar J, Yust-Katz S, Barshack I, Peeper DS, Raz DJ, Segal E, Wargo JA, Sandbank J, Shental N, Straussman R. The human tumor microbiome is composed of tumor type-specific intracellular bacteria. Science 2020; 368:973-980. [PMID: 32467386 DOI: 10.1126/science.aay9189] [Citation(s) in RCA: 957] [Impact Index Per Article: 239.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 01/22/2020] [Accepted: 04/14/2020] [Indexed: 12/15/2022]
Abstract
Bacteria were first detected in human tumors more than 100 years ago, but the characterization of the tumor microbiome has remained challenging because of its low biomass. We undertook a comprehensive analysis of the tumor microbiome, studying 1526 tumors and their adjacent normal tissues across seven cancer types, including breast, lung, ovary, pancreas, melanoma, bone, and brain tumors. We found that each tumor type has a distinct microbiome composition and that breast cancer has a particularly rich and diverse microbiome. The intratumor bacteria are mostly intracellular and are present in both cancer and immune cells. We also noted correlations between intratumor bacteria or their predicted functions with tumor types and subtypes, patients' smoking status, and the response to immunotherapy.
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Affiliation(s)
- Deborah Nejman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ilana Livyatan
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Garold Fuks
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Nancy Gavert
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yaara Zwang
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Leore T Geller
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Roi Weiser
- Division of Surgery, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.,Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Giuseppe Mallel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Elinor Gigi
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Arnon Meltser
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gavin M Douglas
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
| | - Iris Kamer
- Institute of Oncology, Sheba Medical Center, Ramat Gan, Israel
| | | | - Tali Dadosh
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Levin-Zaidman
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Sofia Avnet
- Orthopaedic Pathophysiology and Regenerative Unit, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Tehila Atlan
- Department of Bioinformatics, Jerusalem College of Technology, Jerusalem, Israel
| | - Zachary A Cooper
- Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Reetakshi Arora
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandria P Cogdill
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Md Abdul Wadud Khan
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gabriel Ologun
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuval Bussi
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Gili Perry
- Cancer Research Center, Sheba Medical Center, Ramat Gan, Israel
| | - Merav Rokah
- Department of Thoracic Surgery, Sheba Medical Center, Ramat Gan, Israel
| | | | - Elisa A Rozeman
- Department of Medical Oncology and Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Christian U Blank
- Department of Medical Oncology and Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Anat Ronai
- Pediatric Gastroenterology Institute, Rambam Medical Center, Haifa, Israel
| | - Ron Shaoul
- Pediatric Gastroenterology Institute, Rambam Medical Center, Haifa, Israel
| | - Amnon Amit
- Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.,Department of Obstetrics and Gynecology, Rambam Health Care Campus, Haifa, Israel
| | - Tatiana Dorfman
- Division of General Surgery, Rambam Health Care Campus, Haifa, Israel.,Ambulatory and Breast Surgery Service, Rambam Health Care Campus, Haifa, Israel
| | - Ran Kremer
- Department of Thoracic Surgery, Rambam Health Care Campus, Haifa, Israel
| | - Zvi R Cohen
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Department of Neurosurgery, Sheba Medical Center, Ramat Gan, Israel
| | - Sagi Harnof
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Department of Neurosurgery, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | - Tali Siegal
- Neuro-Oncology Unit, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | | | | | - Hagit Shapira
- Institute of Pathology, Megalab, Maccabi Healthcare Services, Rehovot, Israel
| | - Nicola Baldini
- Orthopaedic Pathophysiology and Regenerative Unit, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Morgan G I Langille
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Alon Ben-Nun
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Department of Thoracic Surgery, Sheba Medical Center, Ramat Gan, Israel
| | - Bella Kaufman
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Institute of Oncology, Sheba Medical Center, Ramat Gan, Israel
| | - Aviram Nissan
- Department of Surgical Oncology (Surgery C), Sheba Medical Center, Ramat Gan, Israel
| | - Talia Golan
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Institute of Oncology, Sheba Medical Center, Ramat Gan, Israel
| | - Maya Dadiani
- Cancer Research Center, Sheba Medical Center, Ramat Gan, Israel
| | - Keren Levanon
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Cancer Research Center, Sheba Medical Center, Ramat Gan, Israel
| | - Jair Bar
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Institute of Oncology, Sheba Medical Center, Ramat Gan, Israel
| | - Shlomit Yust-Katz
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Neuro-Oncology Unit, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | - Iris Barshack
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Department of Pathology, Sheba Medical Center, Ramat Gan, Israel
| | - Daniel S Peeper
- Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Dan J Raz
- Division of Thoracic Surgery, City of Hope Medical Center, Duarte, CA, USA
| | - Eran Segal
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Judith Sandbank
- Institute of Pathology, Megalab, Maccabi Healthcare Services, Rehovot, Israel
| | - Noam Shental
- Department of Mathematics and Computer Science, The Open University of Israel, Ra'anana, Israel
| | - Ravid Straussman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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13
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Zeevi D, Korem T, Godneva A, Bar N, Kurilshikov A, Lotan-Pompan M, Weinberger A, Fu J, Wijmenga C, Zhernakova A, Segal E. Structural variation in the gut microbiome associates with host health. Nature 2019; 568:43-48. [PMID: 30918406 DOI: 10.1038/s41586-019-1065-y] [Citation(s) in RCA: 179] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 02/21/2019] [Indexed: 12/16/2022]
Abstract
Differences in the presence of even a few genes between otherwise identical bacterial strains may result in critical phenotypic differences. Here we systematically identify microbial genomic structural variants (SVs) and find them to be prevalent in the human gut microbiome across phyla and to replicate in different cohorts. SVs are enriched for CRISPR-associated and antibiotic-producing functions and depleted from housekeeping genes, suggesting that they have a role in microbial adaptation. We find multiple associations between SVs and host disease risk factors, many of which replicate in an independent cohort. Exploring genes that are clustered in the same SV, we uncover several possible mechanistic links between the microbiome and its host, including a region in Anaerostipes hadrus that encodes a composite inositol catabolism-butyrate biosynthesis pathway, the presence of which is associated with lower host metabolic disease risk. Overall, our results uncover a nascent layer of variability in the microbiome that is associated with microbial adaptation and host health.
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Affiliation(s)
- David Zeevi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. .,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel. .,Center for Studies in Physics and Biology, The Rockefeller University, New York, NY, USA.
| | - Tal Korem
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.,Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Noam Bar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Alexander Kurilshikov
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Jingyuan Fu
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands
| | - Cisca Wijmenga
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.,Department of Immunology, K.G. Jebsen Coeliac Disease Research Centre, University of Oslo, Oslo, Norway
| | - Alexandra Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. .,Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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14
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Kotler E, Shani O, Goldfeld G, Lotan-Pompan M, Tarcic O, Gershoni A, Hopf TA, Marks DS, Oren M, Segal E. A Systematic p53 Mutation Library Links Differential Functional Impact to Cancer Mutation Pattern and Evolutionary Conservation. Mol Cell 2019; 71:178-190.e8. [PMID: 29979965 DOI: 10.1016/j.molcel.2018.06.012] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 03/23/2018] [Accepted: 06/06/2018] [Indexed: 12/11/2022]
Abstract
The TP53 gene is frequently mutated in human cancer. Research has focused predominantly on six major "hotspot" codons, which account for only ∼30% of cancer-associated p53 mutations. To comprehensively characterize the consequences of the p53 mutation spectrum, we created a synthetically designed library and measured the functional impact of ∼10,000 DNA-binding domain (DBD) p53 variants in human cells in culture and in vivo. Our results highlight the differential outcome of distinct p53 mutations in human patients and elucidate the selective pressure driving p53 conservation throughout evolution. Furthermore, while loss of anti-proliferative functionality largely correlates with the occurrence of cancer-associated p53 mutations, we observe that selective gain-of-function may further favor particular mutants in vivo. Finally, when combined with additional acquired p53 mutations, seemingly neutral TP53 SNPs may modulate phenotypic outcome and, presumably, tumor progression.
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Affiliation(s)
- Eran Kotler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Odem Shani
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Guy Goldfeld
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ohad Tarcic
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Anat Gershoni
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Thomas A Hopf
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Debora S Marks
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Moshe Oren
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
| | - Eran Segal
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel.
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15
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Kotler E, Shani O, Goldfeld G, Lotan-Pompan M, Tarcic O, Gershoni A, Hopf TA, Marks DS, Oren M, Segal E. A Systematic p53 Mutation Library Links Differential Functional Impact to Cancer Mutation Pattern and Evolutionary Conservation. Mol Cell 2018; 71:873. [PMID: 30193102 PMCID: PMC6127029 DOI: 10.1016/j.molcel.2018.08.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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16
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van Dijk D, Sharon E, Lotan-Pompan M, Weinberger A, Segal E, Carey LB. Corrigendum: Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators. Genome Res 2017; 27:500. [PMID: 28250019 DOI: 10.1101/gr.220574.117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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17
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Levo M, Avnit-Sagi T, Lotan-Pompan M, Kalma Y, Weinberger A, Yakhini Z, Segal E. Systematic Investigation of Transcription Factor Activity in the Context of Chromatin Using Massively Parallel Binding and Expression Assays. Mol Cell 2017; 65:604-617.e6. [DOI: 10.1016/j.molcel.2017.01.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Revised: 11/28/2016] [Accepted: 01/10/2017] [Indexed: 10/20/2022]
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18
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van Dijk D, Sharon E, Lotan-Pompan M, Weinberger A, Segal E, Carey LB. Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators. Genome Res 2016; 27:87-94. [PMID: 27965290 PMCID: PMC5204347 DOI: 10.1101/gr.212316.116] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 11/15/2016] [Indexed: 12/31/2022]
Abstract
Transcription factors (TFs) are key mediators that propagate extracellular and intracellular signals through to changes in gene expression profiles. However, the rules by which promoters decode the amount of active TF into target gene expression are not well understood. To determine the mapping between promoter DNA sequence, TF concentration, and gene expression output, we have conducted in budding yeast a large-scale measurement of the activity of thousands of designed promoters at six different levels of TF. We observe that maximum promoter activity is determined by TF concentration and not by the number of binding sites. Surprisingly, the addition of an activator site often reduces expression. A thermodynamic model that incorporates competition between neighboring binding sites for a local pool of TF molecules explains this behavior and accurately predicts both absolute expression and the amount by which addition of a site increases or reduces expression. Taken together, our findings support a model in which neighboring binding sites interact competitively when TF is limiting but otherwise act additively.
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Affiliation(s)
- David van Dijk
- Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, New York 10027, USA.,Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Eilon Sharon
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 76100 Rehovot, Israel.,Department of Molecular Cell Biology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Lucas B Carey
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
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19
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Keren L, Hausser J, Lotan-Pompan M, Vainberg Slutskin I, Alisar H, Kaminski S, Weinberger A, Alon U, Milo R, Segal E. Massively Parallel Interrogation of the Effects of Gene Expression Levels on Fitness. Cell 2016; 166:1282-1294.e18. [PMID: 27545349 DOI: 10.1016/j.cell.2016.07.024] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 07/05/2016] [Accepted: 07/18/2016] [Indexed: 02/02/2023]
Abstract
Data of gene expression levels across individuals, cell types, and disease states is expanding, yet our understanding of how expression levels impact phenotype is limited. Here, we present a massively parallel system for assaying the effect of gene expression levels on fitness in Saccharomyces cerevisiae by systematically altering the expression level of ∼100 genes at ∼100 distinct levels spanning a 500-fold range at high resolution. We show that the relationship between expression levels and growth is gene and environment specific and provides information on the function, stoichiometry, and interactions of genes. Wild-type expression levels in some conditions are not optimal for growth, and genes whose fitness is greatly affected by small changes in expression level tend to exhibit lower cell-to-cell variability in expression. Our study addresses a fundamental gap in understanding the functional significance of gene expression regulation and offers a framework for evaluating the phenotypic effects of expression variation.
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Affiliation(s)
- Leeat Keren
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel; Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Jean Hausser
- Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Maya Lotan-Pompan
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ilya Vainberg Slutskin
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Hadas Alisar
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Sivan Kaminski
- Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Adina Weinberger
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Uri Alon
- Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ron Milo
- Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Eran Segal
- Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
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20
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Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalová L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell 2016; 163:1079-1094. [PMID: 26590418 DOI: 10.1016/j.cell.2015.11.001] [Citation(s) in RCA: 1434] [Impact Index Per Article: 179.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 10/29/2015] [Accepted: 10/30/2015] [Indexed: 02/06/2023]
Abstract
Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences. VIDEO ABSTRACT.
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Affiliation(s)
- David Zeevi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Tal Korem
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Niv Zmora
- Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel; Internal Medicine Department, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel; Research Center for Digestive Tract and Liver Diseases, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel
| | - David Israeli
- Day Care Unit and the Laboratory of Imaging and Brain Stimulation, Kfar Shaul Hospital, Jerusalem Center for Mental Health, Jerusalem 9106000, Israel
| | - Daphna Rothschild
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Orly Ben-Yacov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Dar Lador
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Tali Avnit-Sagi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Jotham Suez
- Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Jemal Ali Mahdi
- Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Elad Matot
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Gal Malka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Noa Kosower
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Michal Rein
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | | | - Lenka Dohnalová
- Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel
| | | | - Rony Bikovsky
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Zamir Halpern
- Research Center for Digestive Tract and Liver Diseases, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6423906, Israel; Digestive Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
| | - Eran Elinav
- Immunology Department, Weizmann Institute of Science, Rehovot 7610001, Israel.
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
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Levo M, Zalckvar E, Sharon E, Dantas Machado AC, Kalma Y, Lotan-Pompan M, Weinberger A, Yakhini Z, Rohs R, Segal E. Corrigendum: Unraveling determinants of transcription factor binding outside the core binding site. Genome Res 2015; 25:1410.2. [PMID: 26330574 PMCID: PMC4561500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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22
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Lubliner S, Regev I, Lotan-Pompan M, Edelheit S, Weinberger A, Segal E. Core promoter sequence in yeast is a major determinant of expression level. Genome Res 2015; 25:1008-17. [PMID: 25969468 PMCID: PMC4484384 DOI: 10.1101/gr.188193.114] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2014] [Accepted: 05/11/2015] [Indexed: 11/24/2022]
Abstract
The core promoter is the regulatory sequence to which RNA polymerase is recruited and where it acts to initiate transcription. Here, we present the first comprehensive study of yeast core promoters, providing massively parallel measurements of core promoter activity and of TSS locations and relative usage for thousands of native and designed sequences. We found core promoter activity to be highly correlated to the activity of the entire promoter and that sequence variation in different core promoter regions substantially tunes its activity in a predictable way. We also show that location, orientation, and flanking bases critically affect TATA element function, that transcription initiation in highly active core promoters is focused within a narrow region, that poly(dA:dT) orientation has a functional consequence at the 3' end of promoters, and that orthologous core promoters across yeast species have conserved activities. Our results demonstrate the importance of core promoters in the quantitative study of gene regulation.
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Affiliation(s)
- Shai Lubliner
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Ifat Regev
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Sarit Edelheit
- Department of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
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23
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Shalem O, Sharon E, Lubliner S, Regev I, Lotan-Pompan M, Yakhini Z, Segal E. Systematic dissection of the sequence determinants of gene 3' end mediated expression control. PLoS Genet 2015; 11:e1005147. [PMID: 25875337 PMCID: PMC4398552 DOI: 10.1371/journal.pgen.1005147] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Accepted: 03/17/2015] [Indexed: 01/09/2023] Open
Abstract
The 3'end genomic region encodes a wide range of regulatory process including mRNA stability, 3' end processing and translation. Here, we systematically investigate the sequence determinants of 3' end mediated expression control by measuring the effect of 13,000 designed 3' end sequence variants on constitutive expression levels in yeast. By including a high resolution scanning mutagenesis of more than 200 native 3' end sequences in this designed set, we found that most mutations had only a mild effect on expression, and that the vast majority (~90%) of strongly effecting mutations localized to a single positive TA-rich element, similar to a previously described 3' end processing efficiency element, and resulted in up to ten-fold decrease in expression. Measurements of 3' UTR lengths revealed that these mutations result in mRNAs with aberrantly long 3'UTRs, confirming the role for this element in 3' end processing. Interestingly, we found that other sequence elements that were previously described in the literature to be part of the polyadenylation signal had a minor effect on expression. We further characterize the sequence specificities of the TA-rich element using additional synthetic 3' end sequences and show that its activity is sensitive to single base pair mutations and strongly depends on the A/T content of the surrounding sequences. Finally, using a computational model, we show that the strength of this element in native 3' end sequences can explain some of their measured expression variability (R = 0.41). Together, our results emphasize the importance of efficient 3' end processing for endogenous protein levels and contribute to an improved understanding of the sequence elements involved in this process.
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Affiliation(s)
- Ophir Shalem
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Eilon Sharon
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Shai Lubliner
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Ifat Regev
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
| | - Zohar Yakhini
- Department of Computer Science, Technion, Haifa, Israel
- Agilent Laboratories, Tel Aviv, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel
- * E-mail:
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24
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Zeevi D, Lubliner S, Lotan-Pompan M, Hodis E, Vesterman R, Weinberger A, Segal E. Molecular dissection of the genetic mechanisms that underlie expression conservation in orthologous yeast ribosomal promoters. Genome Res 2014; 24:1991-9. [PMID: 25294245 PMCID: PMC4248315 DOI: 10.1101/gr.179259.114] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Recent studies have shown a surprising phenomenon, whereby orthologous regulatory regions from different species drive similar expression levels despite being highly diverged in sequence. Here, we investigated this phenomenon by genomically integrating hundreds of ribosomal protein (RP) promoters from nine different yeast species into S. cerevisiae and accurately measuring their activity. We found that orthologous RP promoters have extreme expression conservation even across evolutionarily distinct yeast species. Notably, our measurements reveal two distinct mechanisms that underlie this conservation and which act in different regions of the promoter. In the core promoter region, we found compensatory changes, whereby effects of sequence variations in one part of the core promoter were reversed by variations in another part. In contrast, we observed robustness in Rap1 transcription factor binding sites, whereby significant sequence variations had little effect on promoter activity. Finally, cases in which orthologous promoter activities were not conserved could largely be explained by the sequence variation within the core promoter. Together, our results provide novel insights into the mechanisms by which expression is conserved throughout evolution across diverged promoter sequences.
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Affiliation(s)
- Danny Zeevi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Shai Lubliner
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Eran Hodis
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Rita Vesterman
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, 7610001, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, 7610001, Israel
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25
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Keren L, Zackay O, Lotan-Pompan M, Barenholz U, Dekel E, Sasson V, Aidelberg G, Bren A, Zeevi D, Weinberger A, Alon U, Milo R, Segal E. Promoters maintain their relative activity levels under different growth conditions. Mol Syst Biol 2013; 9:701. [PMID: 24169404 PMCID: PMC3817408 DOI: 10.1038/msb.2013.59] [Citation(s) in RCA: 135] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Accepted: 09/27/2013] [Indexed: 12/20/2022] Open
Abstract
Most genes change expression levels across conditions, but it is unclear which of these changes represents specific regulation and what determines their quantitative degree. Here, we accurately measured activities of ~900 S. cerevisiae and ~1800 E. coli promoters using fluorescent reporters. We show that in both organisms 60-90% of promoters change their expression between conditions by a constant global scaling factor that depends only on the conditions and not on the promoter's identity. Quantifying such global effects allows precise characterization of specific regulation-promoters deviating from the global scale line. These are organized into few functionally related groups that also adhere to scale lines and preserve their relative activities across conditions. Thus, only several scaling factors suffice to accurately describe genome-wide expression profiles across conditions. We present a parameter-free passive resource allocation model that quantitatively accounts for the global scaling factors. It suggests that many changes in expression across conditions result from global effects and not specific regulation, and provides means for quantitative interpretation of expression profiles.
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Affiliation(s)
- Leeat Keren
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Ora Zackay
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Uri Barenholz
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Erez Dekel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Vered Sasson
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Guy Aidelberg
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anat Bren
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Danny Zeevi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Uri Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ron Milo
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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26
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Raveh-Sadka T, Levo M, Shabi U, Shany B, Keren L, Lotan-Pompan M, Zeevi D, Sharon E, Weinberger A, Segal E. Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast. Nat Genet 2012; 44:743-50. [PMID: 22634752 DOI: 10.1038/ng.2305] [Citation(s) in RCA: 149] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2012] [Accepted: 05/03/2012] [Indexed: 11/09/2022]
Abstract
Understanding how precise control of gene expression is specified within regulatory DNA sequences is a key challenge with far-reaching implications. Many studies have focused on the regulatory role of transcription factor-binding sites. Here, we explore the transcriptional effects of different elements, nucleosome-disfavoring sequences and, specifically, poly(dA:dT) tracts that are highly prevalent in eukaryotic promoters. By measuring promoter activity for a large-scale promoter library, designed with systematic manipulations to the properties and spatial arrangement of poly(dA:dT) tracts, we show that these tracts significantly and causally affect transcription. We show that manipulating these elements offers a general genetic mechanism, applicable to promoters regulated by different transcription factors, for tuning expression in a predictable manner, with resolution that can be even finer than that attained by altering transcription factor sites. Overall, our results advance the understanding of the regulatory code and suggest a potential mechanism by which promoters yielding prespecified expression patterns can be designed.
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Affiliation(s)
- Tali Raveh-Sadka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
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27
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Zeevi D, Sharon E, Lotan-Pompan M, Lubling Y, Shipony Z, Raveh-Sadka T, Keren L, Levo M, Weinberger A, Segal E. Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters. Genome Res 2011; 21:2114-28. [PMID: 22009988 PMCID: PMC3227101 DOI: 10.1101/gr.119669.110] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2010] [Accepted: 08/02/2011] [Indexed: 11/24/2022]
Abstract
Coordinate regulation of ribosomal protein (RP) genes is key for controlling cell growth. In yeast, it is unclear how this regulation achieves the required equimolar amounts of the different RP components, given that some RP genes exist in duplicate copies, while others have only one copy. Here, we tested whether the solution to this challenge is partly encoded within the DNA sequence of the RP promoters, by fusing 110 different RP promoters to a fluorescent gene reporter, allowing us to robustly detect differences in their promoter activities that are as small as ~10%. We found that single-copy RP promoters have significantly higher activities, suggesting that proper RP stoichiometry is indeed partly encoded within the RP promoters. Notably, we also partially uncovered how this regulation is encoded by finding that RP promoters with higher activity have more nucleosome-disfavoring sequences and characteristic spatial organizations of these sequences and of binding sites for key RP regulators. Mutations in these elements result in a significant decrease of RP promoter activity. Thus, our results suggest that intrinsic (DNA-dependent) nucleosome organization may be a key mechanism by which genomes encode biologically meaningful promoter activities. Our approach can readily be applied to uncover how transcriptional programs of other promoters are encoded.
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Affiliation(s)
- Danny Zeevi
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Eilon Sharon
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Maya Lotan-Pompan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Yaniv Lubling
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Zohar Shipony
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Tali Raveh-Sadka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Leeat Keren
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Michal Levo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
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28
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Harel-Beja R, Tzuri G, Portnoy V, Lotan-Pompan M, Lev S, Cohen S, Dai N, Yeselson L, Meir A, Libhaber SE, Avisar E, Melame T, van Koert P, Verbakel H, Hofstede R, Volpin H, Oliver M, Fougedoire A, Stalh C, Fauve J, Copes B, Fei Z, Giovannoni J, Ori N, Lewinsohn E, Sherman A, Burger J, Tadmor Y, Schaffer AA, Katzir N. A genetic map of melon highly enriched with fruit quality QTLs and EST markers, including sugar and carotenoid metabolism genes. Theor Appl Genet 2010; 121:511-33. [PMID: 20401460 DOI: 10.1007/s00122-010-1327-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2009] [Accepted: 03/22/2010] [Indexed: 05/03/2023]
Abstract
A genetic map of melon enriched for fruit traits was constructed, using a recombinant inbred (RI) population developed from a cross between representatives of the two subspecies of Cucumis melo L.: PI 414723 (subspecies agrestis) and 'Dulce' (subspecies melo). Phenotyping of 99 RI lines was conducted over three seasons in two locations in Israel and the US. The map includes 668 DNA markers (386 SSRs, 76 SNPs, six INDELs and 200 AFLPs), of which 160 were newly developed from fruit ESTs. These ESTs include candidate genes encoding for enzymes of sugar and carotenoid metabolic pathways that were cloned from melon cDNA or identified through mining of the International Cucurbit Genomics Initiative database (http://www.icugi.org/). The map covers 1,222 cM with an average of 2.672 cM between markers. In addition, a skeleton physical map was initiated and 29 melon BACs harboring fruit ESTs were localized to the 12 linkage groups of the map. Altogether, 44 fruit QTLs were identified: 25 confirming QTLs described using other populations and 19 newly described QTLs. The map includes QTLs for fruit sugar content, particularly sucrose, the major sugar affecting sweetness in melon fruit. Six QTLs interacting in an additive manner account for nearly all the difference in sugar content between the two genotypes. Three QTLs for fruit flesh color and carotenoid content were identified. Interestingly, no clear colocalization of QTLs for either sugar or carotenoid content was observed with over 40 genes encoding for enzymes involved in their metabolism. The RI population described here provides a useful resource for further genomics and metabolomics studies in melon, as well as useful markers for breeding for fruit quality.
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Affiliation(s)
- R Harel-Beja
- Department of Vegetable Research, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, Ramat Yishay, 30095, Israel
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29
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Aloni B, Karni L, Deventurero G, Levin Z, Cohen R, Katzir N, Lotan-Pompan M, Edelstein M, Aktas H, Turhan E, Joel D, Horev C, Kapulnik Y. POSSIBLE MECHANISMS FOR GRAFT INCOMPATIBILITY BETWEEN MELON SCIONS AND PUMPKIN ROOTSTOCKS. ACTA ACUST UNITED AC 2008. [DOI: 10.17660/actahortic.2008.782.39] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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30
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Lotan-Pompan M, Cohen R, Yarden O, Portnoy V, Burger Y, Katzir N. Trifluralin herbicide-induced resistance of melon to fusarium wilt involves expression of stress- and defence-related genes. Mol Plant Pathol 2007; 8:9-22. [PMID: 20507475 DOI: 10.1111/j.1364-3703.2006.00365.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
SUMMARY To identify genes involved in trifluralin herbicide-induced resistance of melon to Fusarium oxysporum f. sp. melonis, suppression subtractive hybridization (SSH) and cDNA-amplified fragment-length polymorphism (cDNA-AFLP) were used. A total of 123 clones-60 of which have never been isolated from melon-were isolated, sequenced and annotated. A significant proportion (35%) of the total 123 clones exhibited similarity to genes that have been formerly described as stress- or defence-related. Thirty-two selected clones were subjected to a detailed expression analysis, one-third of which were found to be up-regulated in response to trifluralin treatment and/or fusarium inoculation. The putative roles of seven of these clones in stress are discussed. Furthermore, the expression of four stress-related and up-regulated genes was enhanced when the plants were subjected to salinity stress, suggesting that trifluralin induces a general stress response which protects the plant against fusarium wilt.
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Affiliation(s)
- Maya Lotan-Pompan
- Department of Vegetable Crops, Newe Ya'ar Research Center, Agricultural Research Organization, PO Box 1021, Ramat-Yishay 30095, Israel
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