1
|
Chen JH, Landback P, Arsala D, Guzzetta A, Xia S, Atlas J, Sosa D, Zhang YE, Cheng J, Shen B, Long M. Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. Genome Res 2025; 35:379-392. [PMID: 39952680 PMCID: PMC11960464 DOI: 10.1101/gr.279498.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 02/06/2025] [Indexed: 02/17/2025]
Abstract
New genes (or young genes) are genetic novelties pivotal in mammalian evolution. However, their phenotypic impacts and evolutionary patterns over time remain elusive in humans owing to the technical and ethical complexities of functional studies. Integrating gene age dating with Mendelian disease phenotyping, we reveal a gradual rise in disease gene proportion as gene age increases. Logistic regression modeling indicates that this increase in older genes may be related to their longer sequence lengths and higher burdens of deleterious de novo germline variants (DNVs). We also find a steady integration of new genes with biomedical phenotypes into the human genome over macroevolutionary timescales (∼0.07% per million years). Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures across gene ages. Young genes show significant enrichment in diseases related to the male reproductive system, indicating strong sexual selection. Young genes also exhibit disease-related functions potentially linked to human phenotypic innovations, such as increased brain size, musculoskeletal phenotypes, and color vision. We further reveal a logistic growth pattern of pleiotropy over evolutionary time, indicating a diminishing marginal growth of new functions for older genes owing to intensifying selective constraints over time. We propose a "pleiotropy-barrier" model that delineates higher potential for phenotypic innovation in young genes compared to older genes, a process under natural selection. Our study demonstrates that evolutionarily new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.
Collapse
Affiliation(s)
- Jian-Hai Chen
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA;
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Patrick Landback
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA
| | - Alexander Guzzetta
- Department of Pathology, The University of Chicago, Chicago, Illinois 60637, USA
| | - Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA
| | - Jared Atlas
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois 60637, USA
| | - Dylan Sosa
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingqiu Cheng
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Bairong Shen
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China;
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA;
| |
Collapse
|
2
|
Xia S, Chen J, Arsala D, Emerson JJ, Long M. Functional innovation through new genes as a general evolutionary process. Nat Genet 2025; 57:295-309. [PMID: 39875578 DOI: 10.1038/s41588-024-02059-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 12/15/2024] [Indexed: 01/30/2025]
Abstract
In the past decade, our understanding of how new genes originate in diverse organisms has advanced substantially, and more than a dozen molecular mechanisms for generating initial gene structures were identified, in addition to gene duplication. These new genes have been found to integrate into and modify pre-existing gene networks primarily through mutation and selection, revealing new patterns and rules with stable origination rates across various organisms. This progress has challenged the prevailing belief that new proteins evolve from pre-existing genes, as new genes may arise de novo from noncoding DNA sequences in many organisms, with high rates observed in flowering plants. New genes have important roles in phenotypic and functional evolution across diverse biological processes and structures, with detectable fitness effects of sexual conflict genes that can shape species divergence. Such knowledge of new genes can be of translational value in agriculture and medicine.
Collapse
Affiliation(s)
- Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA
| | - Jianhai Chen
- Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA
| | - J J Emerson
- Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA, USA
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.
| |
Collapse
|
3
|
Qi C, Wei Q, Ye Y, Liu J, Li G, Liang JW, Huang H, Wu G. Fixation of Expression Divergences by Natural Selection in Arabidopsis Coding Genes. Int J Mol Sci 2024; 25:13710. [PMID: 39769472 PMCID: PMC11678068 DOI: 10.3390/ijms252413710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/11/2025] Open
Abstract
Functional divergences of coding genes can be caused by divergences in their coding sequences and expression. However, whether and how expression divergences and coding sequence divergences coevolve is not clear. Gene expression divergences in differentiated cells and tissues recapitulate developmental models within a species, while gene expression divergences between analogous cells and tissues resemble traditional phylogenies in different species, suggesting that gene expression divergences are molecular traits that can be used for evolutionary studies. Using transcriptomes and evolutionary proxies to study gene expression divergences among differentiated cells and tissues in Arabidopsis, expression divergences of coding genes are shown to be strongly anti-correlated with phylostrata (gene ages), indicators of selective constraint Ka/Ks (nonsynonymous replacement rate/synonymous substitution rate) and indicators of positive selection (frequency of loci with Ka/Ks > 1), but only weakly or not correlated with indicators of neutral selection (Ks). Our results thus suggest that expression divergences largely coevolve with coding sequence divergences, suggesting that expression divergences of coding genes are selectively fixed by natural selection but not neutral selection, which provides a molecular framework for trait diversification, functional adaptation and speciation. Our findings therefore support that positive selection rather than negative or neutral selection is a major driver for the origin and evolution of Arabidopsis genes, supporting the Darwinian theory at molecular levels.
Collapse
Affiliation(s)
- Cheng Qi
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| | - Qiang Wei
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| | - Yuting Ye
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| | - Jing Liu
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| | - Guishuang Li
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| | - Jane W. Liang
- Department of Statistics, University of California, Berkeley, CA 94720, USA; (J.W.L.); (H.H.)
| | - Haiyan Huang
- Department of Statistics, University of California, Berkeley, CA 94720, USA; (J.W.L.); (H.H.)
| | - Guang Wu
- College of Life Science, Shaanxi Normal University, Xi’an 710119, China; (C.Q.); (Y.Y.); (J.L.); (G.L.)
| |
Collapse
|
4
|
Shi T, Gao Z, Chen J, Van de Peer Y. Dosage sensitivity shapes balanced expression and gene longevity of homoeologs after whole-genome duplications in angiosperms. THE PLANT CELL 2024; 36:4323-4337. [PMID: 39121058 PMCID: PMC7616505 DOI: 10.1093/plcell/koae227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/23/2024] [Accepted: 08/01/2024] [Indexed: 08/11/2024]
Abstract
Following whole-genome duplication (WGD), duplicate gene pairs (homoeologs) can evolve varying degrees of expression divergence. However, the determinants influencing these relative expression level differences (RFPKM) between homoeologs remain elusive. In this study, we analyzed the RFPKM between homoeologs in 3 angiosperms, Nymphaea colorata, Nelumbo nucifera, and Acorus tatarinowii, all having undergone a single WGD since the origin of angiosperms. Our results show significant positive correlations in RFPKM of homoeologs among tissues within the same species, and among orthologs across these 3 species, indicating convergent expression balance/bias between homoeologous gene copies following independent WGDs. We linked RFPKM between homoeologs to gene attributes associated with dosage-balance constraints, such as protein-protein interactions, lethal-phenotype scores in Arabidopsis (Arabidopsis thaliana) orthologs, domain numbers, and expression breadth. Notably, homoeologs with lower RFPKM often had more interactions and higher lethal-phenotype scores, indicating selective pressures favoring balanced expression. Also, homoeologs with lower RFPKM were more likely to be retained after WGDs in angiosperms. Within Nelumbo, greater RFPKM between homoeologs correlated with increased cis- and trans-regulatory differentiation between species, highlighting the ongoing escalation of gene expression divergence. We further found that expression degeneration in 1 copy of homoeologs is inclined toward nonfunctionalization. Our research highlights the importance of balanced expression, shaped by dosage-balance constraints, in the evolutionary retention of homoeologs in plants.
Collapse
Affiliation(s)
- Tao Shi
- Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan430074, China
| | - Zhiyan Gao
- Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan430074, China
| | - Jinming Chen
- Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan430074, China
| | - Yves Van de Peer
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- Centre for Plant Systems Biology, VIB, Ghent, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, 0028Pretoria, South-Africa
- College of Horticulture, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, 210095Nanjing, China
| |
Collapse
|
5
|
Chen JH, Landback P, Arsala D, Guzzetta A, Xia S, Atlas J, Sosa D, Zhang YE, Cheng J, Shen B, Long M. Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.14.567139. [PMID: 38045239 PMCID: PMC10690195 DOI: 10.1101/2023.11.14.567139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
New genes (or young genes) are genetic novelties pivotal in mammalian evolution. However, their phenotypic impacts and evolutionary patterns over time remain elusive in humans due to the technical and ethical complexities of functional studies. Integrating gene age dating with Mendelian disease phenotyping, our research shows a gradual rise in disease gene proportion as gene age increases. Logistic regression modeling indicates that this increase in older genes may be related to their longer sequence lengths and higher burdens of deleterious de novo germline variants (DNVs). We also find a steady integration of new genes with biomedical phenotypes into the human genome over macroevolutionary timescales (~0.07% per million years). Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures across gene ages. Notably, young genes show significant enrichment in diseases related to the male reproductive system, indicating strong sexual selection. Young genes also exhibit disease-related functions in tissues and systems potentially linked to human phenotypic innovations, such as increased brain size, musculoskeletal phenotypes, and color vision. We further reveal a logistic growth pattern of pleiotropy over evolutionary time, indicating a diminishing marginal growth of new functions for older genes due to intensifying selective constraints over time. We propose a "pleiotropy-barrier" model that delineates higher potentials for phenotypic innovation in young genes compared to older genes, a process that is subject to natural selection. Our study demonstrates that evolutionarily new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.
Collapse
Affiliation(s)
- Jian-Hai Chen
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Patrick Landback
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Deanna Arsala
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Alexander Guzzetta
- Department of Pathology, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Shengqian Xia
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Jared Atlas
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Dylan Sosa
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| | - Yong E. Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jingqiu Cheng
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Bairong Shen
- Institutes for Systems Genetics, West China University Hospital, Chengdu 610041, China
| | - Manyuan Long
- Department of Ecology and Evolution, The University of Chicago, 1101 E 57th Street, Chicago, IL 60637
| |
Collapse
|
6
|
Lyu H, Moya ND, Andersen EC, Chamberlin HM. Gene duplication and evolutionary plasticity of lin-12/Notch gene function in Caenorhabditis. Genetics 2024; 227:iyae064. [PMID: 38809718 PMCID: PMC11492284 DOI: 10.1093/genetics/iyae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/16/2024] [Indexed: 05/31/2024] Open
Abstract
Gene duplication is an important substrate for the evolution of new gene functions, but the impacts of gene duplicates on their own activities and on the developmental networks in which they act are poorly understood. Here, we use a natural experiment of lin-12/Notch gene duplication within the nematode genus Caenorhabditis, combined with characterization of loss- and gain-of-function mutations, to uncover functional distinctions between the duplicate genes in 1 species (Caenorhabditis briggsae) and their single-copy ortholog in Caenorhabditis elegans. First, using improved genomic sequence and gene model characterization, we confirm that the C. briggsae genome includes 2 complete lin-12 genes, whereas most other genes encoding proteins that participate in the LIN-12 signaling pathway retain a one-to-one orthology with C. elegans. We use CRISPR-mediated genome editing to introduce alleles predicted to cause gain-of-function (gf) or loss-of-function (lf) into each C. briggsae gene and find that the gf mutations uncover functional distinctions not apparent from the lf alleles. Specifically, Cbr-lin-12.1(gf), but not Cbr-lin-12.2(gf), causes developmental defects similar to those observed in Cel-lin-12(gf). In contrast to Cel-lin-12(gf), however, the Cbr-lin-12.1(gf) alleles do not cause dominant phenotypes as compared to the wild type, and the mutant phenotype is observed only when 2 gf alleles are present. Our results demonstrate that gene duplicates can exhibit differential capacities to compensate for each other and to interfere with normal development, and uncover coincident gene duplication and evolution of developmental sensitivity to LIN-12/Notch activity.
Collapse
Affiliation(s)
- Haimeng Lyu
- Department of Molecular Genetics, Ohio State University, 484 W 12th Ave, Columbus, OH 43210, USA
| | - Nicolas D Moya
- Department of Biology, Johns Hopkins University, Bascom UTL 383, 3400 North Charles St., Baltimore, MD 21218, USA
| | - Erik C Andersen
- Department of Biology, Johns Hopkins University, Bascom UTL 383, 3400 North Charles St., Baltimore, MD 21218, USA
| | - Helen M Chamberlin
- Department of Molecular Genetics, Ohio State University, 484 W 12th Ave, Columbus, OH 43210, USA
| |
Collapse
|
7
|
Zhang S, Wang R, Zhang L, Birchler JA, Sun L. Inverse and Proportional Trans Modulation of Gene Expression in Human Aneuploidies. Genes (Basel) 2024; 15:637. [PMID: 38790266 PMCID: PMC11121296 DOI: 10.3390/genes15050637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Genomic imbalance in aneuploidy is often detrimental to organisms. To gain insight into the molecular basis of aneuploidies in humans, we analyzed transcriptome data from several autosomal and sex chromosome aneuploidies. The results showed that in human aneuploid cells, genes located on unvaried chromosomes are inversely or proportionally trans-modulated, while a subset of genes on the varied chromosomes are compensated. Less genome-wide modulation is found for sex chromosome aneuploidy compared with autosomal aneuploidy due to X inactivation and the retention of dosage sensitive regulators on both sex chromosomes to limit the effective dosage change. We also found that lncRNA and mRNA can have different responses to aneuploidy. Furthermore, we analyzed the relationship between dosage-sensitive transcription factors and their targets, which illustrated the modulations and indicates genomic imbalance is related to stoichiometric changes in components of gene regulatory complexes.In summary, this study demonstrates the existence of trans-acting effects and compensation mechanisms in human aneuploidies and contributes to our understanding of gene expression regulation in unbalanced genomes and disease states.
Collapse
Affiliation(s)
- Shuai Zhang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (S.Z.); (R.W.); (L.Z.)
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Ruixue Wang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (S.Z.); (R.W.); (L.Z.)
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Ludan Zhang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (S.Z.); (R.W.); (L.Z.)
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - James A. Birchler
- Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Lin Sun
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China; (S.Z.); (R.W.); (L.Z.)
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
8
|
Su Y, Yu Z, Jin S, Ai Z, Yuan R, Chen X, Xue Z, Guo Y, Chen D, Liang H, Liu Z, Liu W. Comprehensive assessment of mRNA isoform detection methods for long-read sequencing data. Nat Commun 2024; 15:3972. [PMID: 38730241 PMCID: PMC11087464 DOI: 10.1038/s41467-024-48117-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
The advancement of Long-Read Sequencing (LRS) techniques has significantly increased the length of sequencing to several kilobases, thereby facilitating the identification of alternative splicing events and isoform expressions. Recently, numerous computational tools for isoform detection using long-read sequencing data have been developed. Nevertheless, there remains a deficiency in comparative studies that systemically evaluate the performance of these tools, which are implemented with different algorithms, under various simulations that encompass potential influencing factors. In this study, we conducted a benchmark analysis of thirteen methods implemented in nine tools capable of identifying isoform structures from long-read RNA-seq data. We evaluated their performances using simulated data, which represented diverse sequencing platforms generated by an in-house simulator, RNA sequins (sequencing spike-ins) data, as well as experimental data. Our findings demonstrate IsoQuant as a highly effective tool for isoform detection with LRS, with Bambu and StringTie2 also exhibiting strong performance. These results offer valuable guidance for future research on alternative splicing analysis and the ongoing improvement of tools for isoform detection using LRS data.
Collapse
Affiliation(s)
- Yaqi Su
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
| | - Zhejian Yu
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Siqian Jin
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Zhipeng Ai
- Division of Human Reproduction and Developmental Genetics, Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Ruihong Yuan
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Xinyi Chen
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Ziwei Xue
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Yixin Guo
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Di Chen
- Center for Reproductive Medicine of the Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre for Regeneration and Cell Therapy of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Hongqing Liang
- Division of Human Reproduction and Developmental Genetics, Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Zuozhu Liu
- Zhejiang University-Angel Align Inc. R&D Center for Intelligent Healthcare, Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJU-UIUC Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Wanlu Liu
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314100, China.
- Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| |
Collapse
|
9
|
Li X, Ma Y, Zhang N, Li Y, Liang Z, Luo Y, Lin L, Zhang D, He Y, Wang Z, Zhang Z, Deng Y. Whole-genome sequencing of Fusarium spp. causing sugarcane root rot on both chewing cane and sugar-making cane. STRESS BIOLOGY 2024; 4:7. [PMID: 38270818 PMCID: PMC10811303 DOI: 10.1007/s44154-023-00145-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/24/2023] [Indexed: 01/26/2024]
Abstract
Previously we isolated three Fusarium strains (a F. sacchari strain namely GXUF-1, and another two F. commune strains namely GXUF-2 and GXUF-3), and we verified that GXUF-3 was able to cause sugarcane root rot to the chewing cane cultivar Badila. Considering that Fusarium spp. are a group of widely distributed fungal pathogens, we tested whether these three Fusarium isolates were able to cause root rot to Badila as well as sugar-making cane cultivar (Guitang42), using a suitable inoculation method established based on infection assays using Badila. We found that the three Fusarium strains were able to cause root rot symptoms to both Badila and Guitang42, to different extents. To better investigate the potential pathogenicity mechanisms, we performed Illumina high-throughput sequencing and analyzed the whole genomic sequence data of these three Fusarium strains. The results reveal that the assembly sizes of the three Fusarium strains were in a range of 44.7-48.2 Mb, with G + C contents of 48.0-48.5%, and 14,154-15,175 coding genes. The coding genes were annotated by multiple public databases, and potential pathogenic genes were predicted using proprietary databases (such as PHI, DFVF, CAZy, etc.). Furthermore, based on evolutionary analysis of the coding sequence, we found that contraction and expansion of gene families occurred in the three Fusarium strains. Overall, our results suggest a potential risk that the root rot disease may occur to the sugar-making canes although it was initially spotted from fruit cane, and provide clues to understand the pathogenic mechanisms of Fusarium spp. causing sugarcane root rot.
Collapse
Affiliation(s)
- Xinyang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Yuming Ma
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, 510642, China
| | - Na Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, 510642, China
| | - Yiming Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Zhibin Liang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, 510642, China
| | - Yibao Luo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Longxin Lin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Dongliang Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Yongqiang He
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Ziting Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Zhiquan Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresource, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, 530004, China
| | - Yizhen Deng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, 510642, China.
| |
Collapse
|
10
|
Chen J. Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection. RESEARCH SQUARE 2023:rs.3.rs-3632644. [PMID: 38045389 PMCID: PMC10690325 DOI: 10.21203/rs.3.rs-3632644/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
New genes (or young genes) are structural novelties pivotal in mammalian evolution. Their phenotypic impact on humans, however, remains elusive due to the technical and ethical complexities in functional studies. Through combining gene age dating with Mendelian disease phenotyping, our research reveals that new genes associated with disease phenotypes steadily integrate into the human genome at a rate of ~ 0.07% every million years over macroevolutionary timescales. Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures between young and old genes. Notably, young genes show significant enrichment in the male reproductive system, indicating strong sexual selection. Young genes also exhibit functions in tissues and systems potentially linked to human phenotypic innovations, such as increased brain size, bipedal locomotion, and color vision. Our findings further reveal increasing levels of pleiotropy over evolutionary time, which accompanies stronger selective constraints. We propose a "pleiotropy-barrier" model that delineates different potentials for phenotypic innovation between young and older genes subject to natural selection. Our study demonstrates that evolutionary new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.
Collapse
|
11
|
Clifton BD, Hariyani I, Kimura A, Luo F, Nguyen A, Ranz JM. Paralog transcriptional differentiation in the D. melanogaster-specific gene family Sdic across populations and spermatogenesis stages. Commun Biol 2023; 6:1069. [PMID: 37864070 PMCID: PMC10589255 DOI: 10.1038/s42003-023-05427-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/05/2023] [Indexed: 10/22/2023] Open
Abstract
How recently originated gene copies become stable genomic components remains uncertain as high sequence similarity of young duplicates precludes their functional characterization. The tandem multigene family Sdic is specific to Drosophila melanogaster and has been annotated across multiple reference-quality genome assemblies. Here we show the existence of a positive correlation between Sdic copy number and total expression, plus vast intrastrain differences in mRNA abundance among paralogs, using RNA-sequencing from testis of four strains with variable paralog composition. Single cell and nucleus RNA-sequencing data expose paralog expression differentiation in meiotic cell types within testis from third instar larva and adults. Additional RNA-sequencing across synthetic strains only differing in their Y chromosomes reveal a tissue-dependent trans-regulatory effect on Sdic: upregulation in testis and downregulation in male accessory gland. By leveraging paralog-specific expression information from tissue- and cell-specific data, our results elucidate the intraspecific functional diversification of a recently expanded tandem gene family.
Collapse
Affiliation(s)
- Bryan D Clifton
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA.
| | - Imtiyaz Hariyani
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA
| | - Ashlyn Kimura
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA
| | - Fangning Luo
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA
| | - Alvin Nguyen
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA
| | - José M Ranz
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, 92697, USA.
| |
Collapse
|
12
|
Zhu PK, Yang J, Yang DM, Xu YP, He TY, Rong JD, Zheng YS, Chen LY. Identification and characterization of the cupin_1 domain-containing proteins in ma bamboo ( Dendrocalamus latiflorus) and their potential role in rhizome sprouting. FRONTIERS IN PLANT SCIENCE 2023; 14:1260856. [PMID: 37908839 PMCID: PMC10614299 DOI: 10.3389/fpls.2023.1260856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/25/2023] [Indexed: 11/02/2023]
Abstract
Cupin_1 domain-containing protein (CDP) family, which is a member of the cupin superfamily with the most diverse functions in plants, has been found to be involved in hormone pathways that are closely related to rhizome sprouting (RS), a vital form of asexual reproduction in plants. Ma bamboo is a typical clumping bamboo, which mainly reproduces by RS. In this study, we identified and characterized 53 Dendrocalamus latiflorus CDP genes and divided them into seven subfamilies. Comparing the genetic structures among subfamilies showed a relatively conserved gene structure within each subfamily, and the number of cupin_1 domains affected the conservation among D. latiflorus CDP genes. Gene collinearity results showed that segmental duplication and tandem duplication both contributed to the expansion of D. latiflorus CDP genes, and lineage-specific gene duplication was an important factor influencing the evolution of CDP genes. Expression patterns showed that CDP genes generally had higher expression levels in germinating underground buds, indicating that they might play important roles in promoting shoot sprouting. Transcription factor binding site prediction and co-expression network analysis indicated that D. latiflorus CDPs were regulated by a large number of transcription factors, and collectively participated in rhizome buds and shoot development. This study significantly provided new insights into the evolutionary patterns and molecular functions of CDP genes, and laid a foundation for further studying the regulatory mechanisms of plant rhizome sprouting.
Collapse
Affiliation(s)
- Peng-kai Zhu
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jing Yang
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - De-ming Yang
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yan-ping Xu
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Tian-you He
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jun-dong Rong
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yu-shan Zheng
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Ling-yan Chen
- College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China
| |
Collapse
|
13
|
Ma H, Wang M, Zhang YE, Tan S. The power of "controllers": Transposon-mediated duplicated genes evolve towards neofunctionalization. J Genet Genomics 2023; 50:462-472. [PMID: 37068629 DOI: 10.1016/j.jgg.2023.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/04/2023] [Accepted: 04/05/2023] [Indexed: 04/19/2023]
Abstract
Since the discovery of the first transposon by Dr. Barbara McClintock, the prevalence and diversity of transposable elements (TEs) have been gradually recognized. As fundamental genetic components, TEs drive organismal evolution not only by contributing functional sequences (e.g., regulatory elements or "controllers" as phrased by Dr. McClintock) but also by shuffling genomic sequences. In the latter respect, TE-mediated gene duplications have contributed to the origination of new genes and attracted extensive interest. In response to the development of this field, we herein attempt to provide an overview of TE-mediated duplication by focusing on common rules emerging across duplications generated by different TE types. Specifically, despite the huge divergence of transposition machinery across TEs, we identify three common features of various TE-mediated duplication mechanisms, including end bypass, template switching, and recurrent transposition. These three features lead to one common functional outcome, namely, TE-mediated duplicates tend to be subjected to exon shuffling and neofunctionalization. Therefore, the intrinsic properties of the mutational mechanism constrain the evolutionary trajectories of these duplicates. We finally discuss the future of this field including an in-depth characterization of both the duplication mechanisms and functions of TE-mediated duplicates.
Collapse
Affiliation(s)
- Huijing Ma
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mengxia Wang
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China; Chinese Institute for Brain Research, Beijing 102206, China.
| | - Shengjun Tan
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| |
Collapse
|
14
|
Ma C, Li C, Ma H, Yu D, Zhang Y, Zhang D, Su T, Wu J, Wang X, Zhang L, Chen CL, Zhang YE. Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum. Genome Biol 2022; 23:251. [PMID: 36474250 PMCID: PMC9724437 DOI: 10.1186/s13059-022-02821-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 11/24/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Despite having been extensively studied, it remains largely unclear why humans bear a particularly high risk of cancer. The antagonistic pleiotropy hypothesis predicts that primate-specific genes (PSGs) tend to promote tumorigenesis, while the molecular atavism hypothesis predicts that PSGs involved in tumors may represent recently derived duplicates of unicellular genes. However, these predictions have not been tested. RESULTS By taking advantage of pan-cancer genomic data, we find the upregulation of PSGs across 13 cancer types, which is facilitated by copy-number gain and promoter hypomethylation. Meta-analyses indicate that upregulated PSGs (uPSGs) tend to promote tumorigenesis and to play cell cycle-related roles. The cell cycle-related uPSGs predominantly represent derived duplicates of unicellular genes. We prioritize 15 uPSGs and perform an in-depth analysis of one unicellular gene-derived duplicate involved in the cell cycle, DDX11. Genome-wide screening data and knockdown experiments demonstrate that DDX11 is broadly essential across cancer cell lines. Importantly, non-neutral amino acid substitution patterns and increased expression indicate that DDX11 has been under positive selection. Finally, we find that cell cycle-related uPSGs are also preferentially upregulated in the highly proliferative embryonic cerebrum. CONCLUSIONS Consistent with the predictions of the atavism and antagonistic pleiotropy hypotheses, primate-specific genes, especially those PSGs derived from cell cycle-related genes that emerged in unicellular ancestors, contribute to the early proliferation of the human cerebrum at the cost of hitchhiking by similarly highly proliferative cancer cells.
Collapse
Affiliation(s)
- Chenyu Ma
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chunyan Li
- School of Engineering Medicine, Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), and Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
| | - Huijing Ma
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Daqi Yu
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yufei Zhang
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- School of Life Sciences, Nanjing University, Nanjing, 210093, China
| | - Dan Zhang
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tianhan Su
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianmin Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Xiaoyue Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Li Zhang
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Chun-Long Chen
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR3244, Dynamics of Genetic Information, 75005, Paris, France
| | - Yong E Zhang
- Key Laboratory of Zoological Systematics and Evolution & State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
| |
Collapse
|
15
|
Birchler JA, Yang H. The multiple fates of gene duplications: Deletion, hypofunctionalization, subfunctionalization, neofunctionalization, dosage balance constraints, and neutral variation. THE PLANT CELL 2022; 34:2466-2474. [PMID: 35253876 PMCID: PMC9252495 DOI: 10.1093/plcell/koac076] [Citation(s) in RCA: 107] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/17/2022] [Indexed: 05/13/2023]
Abstract
Gene duplications have long been recognized as a contributor to the evolution of genes with new functions. Multiple copies of genes can result from tandem duplication, from transposition to new chromosomes, or from whole-genome duplication (polyploidy). The most common fate is that one member of the pair is deleted to return the gene to the singleton state. Other paths involve the reduced expression of both copies (hypofunctionalization) that are held in duplicate to maintain sufficient quantity of function. The two copies can split functions (subfunctionalization) or can diverge to generate a new function (neofunctionalization). Retention of duplicates resulting from doubling of the whole genome occurs for genes involved with multicomponent interactions such as transcription factors and signal transduction components. In contrast, these classes of genes are underrepresented in small segmental duplications. This complementary pattern suggests that the balance of interactors affects the fate of the duplicate pair. We discuss the different mechanisms that maintain duplicated genes, which may change over time and intersect.
Collapse
Affiliation(s)
- James A Birchler
- Division of Biological Sciences, University of Missouri, Columbia, Missouri 65211, USA
| | - Hua Yang
- Division of Biological Sciences, University of Missouri, Columbia, Missouri 65211, USA
| |
Collapse
|
16
|
Liao BY. Young duplicate genic DNA. Nat Ecol Evol 2021; 6:249-250. [PMID: 34969987 DOI: 10.1038/s41559-021-01639-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Ben-Yang Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan, Republic of China.
| |
Collapse
|