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Zhao L, Zhou W, He J, Li DZ, Li HT. Positive selection and relaxed purifying selection contribute to rapid evolution of male-biased genes in a dioecious flowering plant. eLife 2024; 12:RP89941. [PMID: 38353667 PMCID: PMC10942601 DOI: 10.7554/elife.89941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Abstract
Sex-biased genes offer insights into the evolution of sexual dimorphism. Sex-biased genes, especially those with male bias, show elevated evolutionary rates of protein sequences driven by positive selection and relaxed purifying selection in animals. Although rapid sequence evolution of sex-biased genes and evolutionary forces have been investigated in animals and brown algae, less is known about evolutionary forces in dioecious angiosperms. In this study, we separately compared the expression of sex-biased genes between female and male floral buds and between female and male flowers at anthesis in dioecious Trichosanthes pilosa (Cucurbitaceae). In floral buds, sex-biased gene expression was pervasive, and had significantly different roles in sexual dimorphism such as physiology. We observed higher rates of sequence evolution for male-biased genes in floral buds compared to female-biased and unbiased genes. Male-biased genes under positive selection were mainly associated with functions to abiotic stress and immune responses, suggesting that high evolutionary rates are driven by adaptive evolution. Additionally, relaxed purifying selection may contribute to accelerated evolution in male-biased genes generated by gene duplication. Our findings, for the first time in angiosperms, suggest evident rapid evolution of male-biased genes, advance our understanding of the patterns and forces driving the evolution of sexual dimorphism in dioecious plants.
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Affiliation(s)
- Lei Zhao
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of SciencesKunming, YunnanChina
| | - Wei Zhou
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of SciencesKunming, YunnanChina
| | - Jun He
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of SciencesKunming, YunnanChina
| | - De-Zhu Li
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of SciencesKunming, YunnanChina
- Kunming College of Life Science, University of Chinese Academy of SciencesKunmingChina
| | - Hong-Tao Li
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of SciencesKunming, YunnanChina
- Kunming College of Life Science, University of Chinese Academy of SciencesKunmingChina
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2
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Zwonitzer KD, Iverson ENK, Sterling JE, Weaver RJ, Maclaine BA, Havird JC. Disentangling Positive Selection from Relaxed Selection in Animal Mitochondrial Genomes. Am Nat 2023; 202:E121-E129. [PMID: 37792916 PMCID: PMC10955554 DOI: 10.1086/725805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
AbstractDisentangling different types of selection is a common goal in molecular evolution. Elevated dN/dS ratios (the ratio of nonsynonymous to synonymous substitution rates) in focal lineages are often interpreted as signs of positive selection. Paradoxically, relaxed purifying selection can also result in elevated dN/dS ratios, but tests to distinguish these two causes are seldomly implemented. Here, we reevaluated seven case studies describing elevated dN/dS ratios in animal mitochondrial DNA (mtDNA) and their accompanying hypotheses regarding selection. They included flightless lineages versus flighted lineages in birds, bats, and insects and physiological adaptations in snakes, two groups of electric fishes, and primates. We found that elevated dN/dS ratios were often not caused by the predicted mechanism, and we sometimes found strong support for the opposite mechanism. We discuss reasons why energetic hypotheses may be confounded by other selective forces acting on mtDNA and caution against overinterpreting singular molecular signals, including elevated dN/dS ratios.
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Affiliation(s)
- Kendra D. Zwonitzer
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712
| | - Erik N. K. Iverson
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712
| | - Jess E. Sterling
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712
| | - Ryan J. Weaver
- Department of Ecology, Evolution, and Organismal Biology and Department of Natural Resource Ecology and Management, Iowa State University, Ames, Iowa 50011
| | - Bradley A. Maclaine
- Department of Human Development and Family Sciences, University of Texas at Austin, Austin, Texas 78712
| | - Justin C. Havird
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712
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3
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Kaczanowska J, Ganglberger F, Chernomor O, Kargl D, Galik B, Hess A, Moodley Y, von Haeseler A, Bühler K, Haubensak W. Molecular archaeology of human cognitive traits. Cell Rep 2022; 40:111287. [PMID: 36044840 DOI: 10.1016/j.celrep.2022.111287] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 05/20/2022] [Accepted: 08/05/2022] [Indexed: 01/06/2023] Open
Abstract
The brains and minds of our human ancestors remain inaccessible for experimental exploration. Therefore, we reconstructed human cognitive evolution by projecting nonsynonymous/synonymous rate ratios (ω values) in mammalian phylogeny onto the anatomically modern human (AMH) brain. This atlas retraces human neurogenetic selection and allows imputation of ancestral evolution in task-related functional networks (FNs). Adaptive evolution (high ω values) is associated with excitatory neurons and synaptic function. It shifted from FNs for motor control in anthropoid ancestry (60-41 mya) to attention in ancient hominoids (26-19 mya) and hominids (19-7.4 mya). Selection in FNs for language emerged with an early hominin ancestor (7.4-1.7 mya) and was later accompanied by adaptive evolution in FNs for strategic thinking during recent (0.8 mya-present) speciation of AMHs. This pattern mirrors increasingly complex cognitive demands and suggests that co-selection for language alongside strategic thinking may have separated AMHs from their archaic Denisovan and Neanderthal relatives.
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Affiliation(s)
- Joanna Kaczanowska
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria
| | | | - Olga Chernomor
- Center for Integrative Bioinformatics Vienna (CIBIV), Max Perutz Labs, University of Vienna, Medical University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria
| | - Dominic Kargl
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria; Department of Neuronal Cell Biology, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Bence Galik
- Bioinformatics and Scientific Computing, Vienna Biocenter Core Facilities (VBCF), Dr. Bohr Gasse 3, 1030 Vienna, Austria
| | - Andreas Hess
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nuremberg, Fahrstrasse 17, 91054 Erlangen, Germany
| | - Yoshan Moodley
- Department of Zoology, University of Venda, Private Bag X5050, Thohoyandou, Republic of South Africa
| | - Arndt von Haeseler
- Center for Integrative Bioinformatics Vienna (CIBIV), Max Perutz Labs, University of Vienna, Medical University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria; Faculty of Computer Science, University of Vienna, Währinger Str. 29, 1090 Vienna, Austria
| | - Katja Bühler
- VRVis Research Center, Donau-City Strasse 11, 1220 Vienna, Austria
| | - Wulf Haubensak
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria; Department of Neuronal Cell Biology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
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5
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Rasmussen M, Reddy M, Nolan R, Camunas-Soler J, Khodursky A, Scheller NM, Cantonwine DE, Engelbrechtsen L, Mi JD, Dutta A, Brundage T, Siddiqui F, Thao M, Gee EPS, La J, Baruch-Gravett C, Santillan MK, Deb S, Ame SM, Ali SM, Adkins M, DePristo MA, Lee M, Namsaraev E, Gybel-Brask DJ, Skibsted L, Litch JA, Santillan DA, Sazawal S, Tribe RM, Roberts JM, Jain M, Høgdall E, Holzman C, Quake SR, Elovitz MA, McElrath TF. RNA profiles reveal signatures of future health and disease in pregnancy. Nature 2022; 601:422-427. [PMID: 34987224 PMCID: PMC8770117 DOI: 10.1038/s41586-021-04249-w] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 11/16/2021] [Indexed: 11/08/2022]
Abstract
Maternal morbidity and mortality continue to rise, and pre-eclampsia is a major driver of this burden1. Yet the ability to assess underlying pathophysiology before clinical presentation to enable identification of pregnancies at risk remains elusive. Here we demonstrate the ability of plasma cell-free RNA (cfRNA) to reveal patterns of normal pregnancy progression and determine the risk of developing pre-eclampsia months before clinical presentation. Our results centre on comprehensive transcriptome data from eight independent prospectively collected cohorts comprising 1,840 racially diverse pregnancies and retrospective analysis of 2,539 banked plasma samples. The pre-eclampsia data include 524 samples (72 cases and 452 non-cases) from two diverse independent cohorts collected 14.5 weeks (s.d., 4.5 weeks) before delivery. We show that cfRNA signatures from a single blood draw can track pregnancy progression at the placental, maternal and fetal levels and can robustly predict pre-eclampsia, with a sensitivity of 75% and a positive predictive value of 32.3% (s.d., 3%), which is superior to the state-of-the-art method2. cfRNA signatures of normal pregnancy progression and pre-eclampsia are independent of clinical factors, such as maternal age, body mass index and race, which cumulatively account for less than 1% of model variance. Further, the cfRNA signature for pre-eclampsia contains gene features linked to biological processes implicated in the underlying pathophysiology of pre-eclampsia.
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Affiliation(s)
| | | | - Rory Nolan
- Mirvie, Inc., South San Francisco, CA, USA
| | | | | | - Nikolai M Scheller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | | | - Line Engelbrechtsen
- Department of Obstetrics and Gynecology, Herlev University Hospital, Herlev, Denmark
| | - Jia Dai Mi
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital Campus, London, UK
| | - Arup Dutta
- Center for Public Health Kinetics, New Delhi, India
| | | | | | | | | | - Johnny La
- Mirvie, Inc., South San Francisco, CA, USA
| | | | - Mark K Santillan
- Department of Obstetrics & Gynecology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
| | - Saikat Deb
- Center for Public Health Kinetics, New Delhi, India
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | - Shaali M Ame
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | - Said M Ali
- Public Health Laboratory-Idc, Pemba, Zanzibar, Tanzania
| | | | | | | | | | - Dorte Jensen Gybel-Brask
- Department of Obstetrics, Zealand University Hospital, Roskilde, Denmark
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | - Lillian Skibsted
- Department of Obstetrics, Zealand University Hospital, Roskilde, Denmark
| | - James A Litch
- Global Alliance to Prevent Prematurity and Stillbirth (GAPPS), Lynnwood, WA, USA
| | - Donna A Santillan
- Department of Obstetrics & Gynecology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
| | | | - Rachel M Tribe
- Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, St Thomas' Hospital Campus, London, UK
| | - James M Roberts
- Magee-Womens Research Institute, Department of Obstetrics and Gynecology and Reproductive Sciences, Epidemiology and Clinical and Translational Research University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Estrid Høgdall
- Department of Pathology, Herlev University Hospital, Herlev, Denmark
| | | | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Michal A Elovitz
- Mirvie, Inc., South San Francisco, CA, USA.
- Maternal and Child Health Research Program, Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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7
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Benton ML, Abraham A, LaBella AL, Abbot P, Rokas A, Capra JA. The influence of evolutionary history on human health and disease. Nat Rev Genet 2021; 22:269-283. [PMID: 33408383 PMCID: PMC7787134 DOI: 10.1038/s41576-020-00305-9] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 01/29/2023]
Abstract
Nearly all genetic variants that influence disease risk have human-specific origins; however, the systems they influence have ancient roots that often trace back to evolutionary events long before the origin of humans. Here, we review how advances in our understanding of the genetic architectures of diseases, recent human evolution and deep evolutionary history can help explain how and why humans in modern environments become ill. Human populations exhibit differences in the prevalence of many common and rare genetic diseases. These differences are largely the result of the diverse environmental, cultural, demographic and genetic histories of modern human populations. Synthesizing our growing knowledge of evolutionary history with genetic medicine, while accounting for environmental and social factors, will help to achieve the promise of personalized genomics and realize the potential hidden in an individual's DNA sequence to guide clinical decisions. In short, precision medicine is fundamentally evolutionary medicine, and integration of evolutionary perspectives into the clinic will support the realization of its full potential.
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Affiliation(s)
- Mary Lauren Benton
- grid.152326.10000 0001 2264 7217Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN USA ,grid.252890.40000 0001 2111 2894Department of Computer Science, Baylor University, Waco, TX USA
| | - Abin Abraham
- grid.152326.10000 0001 2264 7217Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN USA
| | - Abigail L. LaBella
- grid.152326.10000 0001 2264 7217Department of Biological Sciences, Vanderbilt University, Nashville, TN USA
| | - Patrick Abbot
- grid.152326.10000 0001 2264 7217Department of Biological Sciences, Vanderbilt University, Nashville, TN USA
| | - Antonis Rokas
- grid.152326.10000 0001 2264 7217Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Department of Biological Sciences, Vanderbilt University, Nashville, TN USA
| | - John A. Capra
- grid.152326.10000 0001 2264 7217Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Department of Biological Sciences, Vanderbilt University, Nashville, TN USA ,grid.266102.10000 0001 2297 6811Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA USA
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