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Bukhman YV, Morin PA, Meyer S, Chu LF, Jacobsen JK, Antosiewicz-Bourget J, Mamott D, Gonzales M, Argus C, Bolin J, Berres ME, Fedrigo O, Steill J, Swanson SA, Jiang P, Rhie A, Formenti G, Phillippy AM, Harris RS, Wood JMD, Howe K, Kirilenko BM, Munegowda C, Hiller M, Jain A, Kihara D, Johnston JS, Ionkov A, Raja K, Toh H, Lang A, Wolf M, Jarvis ED, Thomson JA, Chaisson MJP, Stewart R. A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography. Mol Biol Evol 2024; 41:msae036. [PMID: 38376487 PMCID: PMC10919930 DOI: 10.1093/molbev/msae036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
The blue whale, Balaenoptera musculus, is the largest animal known to have ever existed, making it an important case study in longevity and resistance to cancer. To further this and other blue whale-related research, we report a reference-quality, long-read-based genome assembly of this fascinating species. We assembled the genome from PacBio long reads and utilized Illumina/10×, optical maps, and Hi-C data for scaffolding, polishing, and manual curation. We also provided long read RNA-seq data to facilitate the annotation of the assembly by NCBI and Ensembl. Additionally, we annotated both haplotypes using TOGA and measured the genome size by flow cytometry. We then compared the blue whale genome with other cetaceans and artiodactyls, including vaquita (Phocoena sinus), the world's smallest cetacean, to investigate blue whale's unique biological traits. We found a dramatic amplification of several genes in the blue whale genome resulting from a recent burst in segmental duplications, though the possible connection between this amplification and giant body size requires further study. We also discovered sites in the insulin-like growth factor-1 gene correlated with body size in cetaceans. Finally, using our assembly to examine the heterozygosity and historical demography of Pacific and Atlantic blue whale populations, we found that the genomes of both populations are highly heterozygous and that their genetic isolation dates to the last interglacial period. Taken together, these results indicate how a high-quality, annotated blue whale genome will serve as an important resource for biology, evolution, and conservation research.
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Affiliation(s)
- Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Susanne Meyer
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Li-Fang Chu
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, Canada
| | | | | | - Daniel Mamott
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Maylie Gonzales
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Cara Argus
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Jennifer Bolin
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Mark E Berres
- University of Wisconsin Biotechnology Center, Bioinformatics Resource Center, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
| | - John Steill
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Scott A Swanson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Peng Jiang
- Center for Gene Regulation in Health and Disease (GRHD), Cleveland State University, Cleveland, OH, USA
- Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OH, USA
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | | | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1SA, UK
| | - Bogdan M Kirilenko
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Chetan Munegowda
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Aashish Jain
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Alexander Ionkov
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Kalpana Raja
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Huishi Toh
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Aimee Lang
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Magnus Wolf
- Institute for Evolution and Biodiversity (IEB), University of Muenster, 48149, Muenster, Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - James A Thomson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, Los Angeles, CA 90089, USA
| | - Ron Stewart
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
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Xu H, Zhang M, Hao Z, Liang C. hOGG1 rs1052133 Polymorphism and Prostate Cancer Risk: A Chinese Case-Control Study and Meta-Analysis. Med Sci Monit 2022; 28:e938012. [PMID: 36310366 PMCID: PMC9635216 DOI: 10.12659/msm.938012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND We performed a case-control study and an updated meta-analysis to assess the relationship between the hOGG1 rs1052133 polymorphism and prostate cancer (PCa) risk. MATERIAL AND METHODS We recruited 160 PCa cases and 243 healthy controls. For the meta-analysis, relevant studies were recruited from diverse databases up to April 2022. Genetic risk was evaluated by using an odds ratio (OR) with a corresponding 95% confidence interval (95% CI). The genotypes of this polymorphism were genotyped via the SNaPshot genotyping method. RESULTS In the case-control study, we failed to identify any association between the hOGG1 rs1052133 polymorphism and PCa risk. Negative results were also obtained when stratified analyses were performed based on the patient's prostatic-specific antigen (PSA) level and Gleason score, as well as tumor, node, and metastasis (TNM) stage. To enlarge the sample size, we performed a restricted updated meta-analysis by recruiting 10 case-control studies (including the current one), and the results suggested that genotypes of rs1052133 polymorphism were significantly associated with an elevated risk of PCa in 2 genetic models - the heterozygote and dominant models. In the stratification analysis by population ethnicity, a significant association of this polymorphism with susceptibility to PCa was found both in the Asian populations and White populations. CONCLUSIONS Our case-control and updated meta-analysis study suggest that the hOGG1 rs1052133 polymorphism is a susceptibility factor for PCa, but still needs to be further verified in the Chinese population.
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Affiliation(s)
- Hanjiang Xu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China,Institute of Urology, Anhui Medical University, Hefei, Anhui, PR China,Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, PR China
| | - Meng Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China,Institute of Urology, Anhui Medical University, Hefei, Anhui, PR China,Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, PR China
| | - Zongyao Hao
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China,Institute of Urology, Anhui Medical University, Hefei, Anhui, PR China,Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, PR China
| | - Chaozhao Liang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China,Institute of Urology, Anhui Medical University, Hefei, Anhui, PR China,Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, PR China
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Buttari B, Arese M, Oberley-Deegan RE, Saso L, Chatterjee A. NRF2: A crucial regulator for mitochondrial metabolic shift and prostate cancer progression. Front Physiol 2022; 13:989793. [PMID: 36213236 PMCID: PMC9540504 DOI: 10.3389/fphys.2022.989793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/31/2022] [Indexed: 12/05/2022] Open
Abstract
Metabolic alterations are a common survival mechanism for prostate cancer progression and therapy resistance. Oxidative stress in the cellular and tumor microenvironment dictates metabolic switching in the cancer cells to adopt, prosper and escape therapeutic stress. Therefore, regulation of oxidative stress in tumor cells and in the tumor-microenvironment may enhance the action of conventional anticancer therapies. NRF2 is the master regulator for oxidative stress management. However, the overall oxidative stress varies with PCa clinical stage, metabolic state and therapy used for the cancer. In agreement, the blanket use of NRF2 inducers or inhibitors along with anticancer therapies cause adverse effects in some preclinical cancer models. In this review, we have summarized the levels of oxidative stress, metabolic preferences and NRF2 activity in the different stages of prostate cancer. We also propose condition specific ways to use NRF2 inducers or inhibitors along with conventional prostate cancer therapies. The significance of this review is not only to provide a detailed understanding of the mechanism of action of NRF2 to regulate oxidative stress-mediated metabolic switching by prostate cancer cells to escape the radiation, chemo, or hormonal therapies, and to grow aggressively, but also to provide a potential therapeutic method to control aggressive prostate cancer growth by stage specific proper use of NRF2 regulators.
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Affiliation(s)
- Brigitta Buttari
- Department of Cardiovascular and Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy
| | - Marzia Arese
- Department of Biochemical Sciences “A. Rossi Fanelli”, Sapienza University of Rome, Rome, Italy
| | - Rebecca E. Oberley-Deegan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, United States
| | - Luciano Saso
- Department of Physiology and Pharmacology ‘‘Vittorio Erspamer”, Sapienza University of Rome, Rome, Italy
| | - Arpita Chatterjee
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, United States
- *Correspondence: Arpita Chatterjee,
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