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Han W, Bao S, Liu J, Wu Y, Zeng L, Zhang T, Chen N, Yao K, Fan S, Huang A, Feng Y, Zhang G, Zhang R, Zhu H, Hua T, Liu Z, Cao L, Huang X, Zhao S. The chordata olfactory receptor database. Protein Cell 2025; 16:286-295. [PMID: 39302986 PMCID: PMC12053476 DOI: 10.1093/procel/pwae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 08/29/2024] [Indexed: 09/22/2024] Open
Affiliation(s)
- Wei Han
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Siyu Bao
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Jintao Liu
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Yiran Wu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Liting Zeng
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Tao Zhang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ningmeng Chen
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Kai Yao
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Shunguo Fan
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Aiping Huang
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Yuanyuan Feng
- Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Guiquan Zhang
- Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Ruiyi Zhang
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Hongjin Zhu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Tian Hua
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Key Laboratory of High-Resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, China
| | - Zhijie Liu
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Key Laboratory of High-Resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, China
| | - Lina Cao
- Department of Intelligent Edge Cloud, China Telecom Cloud Technology Co., Ltd., Shanghai 200120, China
| | - Xingxu Huang
- Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China
| | - Suwen Zhao
- iHuman Institute, ShanghaiTech University, Shanghai 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Key Laboratory of High-Resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, China
- Shanghai Clinical Research and Trial Center, Shanghai 201210, China
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Ibáñez A, Garcia-Porta J. The scent of habitat shift: Olfactory receptor evolution is associated with environmental transitions in turtles. ZOOLOGY 2025; 168:126236. [PMID: 39709692 DOI: 10.1016/j.zool.2024.126236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 10/30/2024] [Accepted: 12/13/2024] [Indexed: 12/24/2024]
Abstract
The transition between aquatic and terrestrial habitats leads to extreme structural changes in sensorial systems. Olfactory receptors (OR) are involved in the detection of odorant molecules both in water and on land. Therefore, ORs are affected by evolutionary habitat transitions experienced by organisms. In this study, we used turtles, a group of vertebrates which inhabit many distinct environments, to explore whether functional olfactory gene receptor repertoires are correlated to habitat. We found that the proportion of class I vs class II functional olfactory receptor genes (used for waterborne odorant detection and volatile odorant detection, respectively) was closely linked to habitat. Fully terrestrial turtles had the largest proportion of class II functional receptor genes while marine turtles had a larger proportion of class I receptor genes. Freshwater turtles had more balanced numbers of class I and class II functional receptor genes, but showed a gradient of OR type proportions likely reflecting species-specific amphibious preferences. Interestingly, freshwater turtles had by far the largest number of functional OR genes compared to those in other habitats, challenging the hypothesis that secondary adaptions to water may have reduced OR repertoires in amniotes. Our study provides novel results which shed new light on the relationship between chemical communication and habitat.
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Affiliation(s)
- Alejandro Ibáñez
- University of Lodz, Faculty of Biology and Environmental Protection, Department of Ecology and Vertebrate Zoology, Lodz, Poland.
| | - Joan Garcia-Porta
- Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Madrid, Spain
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Hirose A, Nakamura G, Nikaido M, Fujise Y, Kato H, Kishida T. Localized Expression of Olfactory Receptor Genes in the Olfactory Organ of Common Minke Whales. Int J Mol Sci 2024; 25:3855. [PMID: 38612665 PMCID: PMC11012115 DOI: 10.3390/ijms25073855] [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: 02/21/2024] [Revised: 03/13/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
Baleen whales (Mysticeti) possess the necessary anatomical structures and genetic elements for olfaction. Nevertheless, the olfactory receptor gene (OR) repertoire has undergone substantial degeneration in the cetacean lineage following the divergence of the Artiodactyla and Cetacea. The functionality of highly degenerated mysticete ORs within their olfactory epithelium remains unknown. In this study, we extracted total RNA from the nasal mucosae of common minke whales (Balaenoptera acutorostrata) to investigate ORs' localized expression. All three sections of the mucosae examined in the nasal chamber displayed comparable histological structure. However, the posterior portion of the frontoturbinal region exhibited notably high OR expression. Neither the olfactory bulb nor the external skin exhibited the expression of these genes. Although this species possesses four intact non-class-2 ORs, all the ORs expressed in the nasal mucosae belong to class-2, implying the loss of aversion to specific odorants. These anatomical and genomic analyses suggest that ORs are still responsible for olfaction within the nasal region of baleen whales, enabling them to detect desirable scents such as prey and potential mating partners.
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Affiliation(s)
- Ayumi Hirose
- School of Life Science and Technology, Tokyo Institute of Technology, Tokyo 152-8550, Japan;
- Department of Ocean Sciences, Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan
| | - Gen Nakamura
- Department of Ocean Sciences, Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan
| | - Masato Nikaido
- School of Life Science and Technology, Tokyo Institute of Technology, Tokyo 152-8550, Japan;
| | | | - Hidehiro Kato
- Department of Ocean Sciences, Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan
- The Institute of Cetacean Research, Tokyo 104-0055, Japan
| | - Takushi Kishida
- Museum of Natural and Environmental History, Shizuoka 422-8017, Japan;
- College of Bioresource Sciences, Nihon University, Fujisawa 252-0880, Japan
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Martinez Q, Amson E, Laska M. Does the number of functional olfactory receptor genes predict olfactory sensitivity and discrimination performance in mammals? J Evol Biol 2024; 37:238-247. [PMID: 38297391 DOI: 10.1093/jeb/voae006] [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: 04/20/2023] [Revised: 12/05/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024]
Abstract
The number of functional genes coding for olfactory receptors differs markedly between species and has repeatedly been suggested to be predictive of a species' olfactory capabilities. To test this assumption, we compiled a database of all published olfactory detection threshold values in mammals and used three sets of data on olfactory discrimination performance that employed the same structurally related monomolecular odour pairs with different mammal species. We extracted the number of functional olfactory receptor genes of the 20 mammal species for which we found data on olfactory sensitivity and/or olfactory discrimination performance from the Chordata Olfactory Receptor Database. We found that the overall olfactory detection thresholds significantly correlate with the number of functional olfactory receptor genes. Similarly, the overall proportion of successfully discriminated monomolecular odour pairs significantly correlates with the number of functional olfactory receptor genes. These results provide the first statistically robust evidence for the relationship between olfactory capabilities and their genomics correlates. However, when analysed individually, of the 44 monomolecular odourants for which data on olfactory sensitivity from at least five mammal species are available, only five yielded a significant correlation between olfactory detection thresholds and the number of functional olfactory receptors genes. Also, for the olfactory discrimination performance, no significant correlation was found for any of the 74 relationships between the proportion of successfully discriminated monomolecular odour pairs and the number of functional olfactory receptor genes. While only a rather limited amount of data on olfactory detection thresholds and olfactory discrimination scores in a rather limited number of mammal species is available so far, we conclude that the number of functional olfactory receptor genes may be a predictor of olfactory sensitivity and discrimination performance in mammals.
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Affiliation(s)
| | - Eli Amson
- Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany
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Lalis M, Hladiš M, Abi Khalil S, Deroo C, Marin C, Bensafi M, Baldovini N, Briand L, Fiorucci S, Topin J. A status report on human odorant receptors and their allocated agonists. Chem Senses 2024; 49:bjae037. [PMID: 39400708 DOI: 10.1093/chemse/bjae037] [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: 03/12/2024] [Indexed: 10/15/2024] Open
Abstract
Olfactory perception begins when odorous substances interact with specialized receptors located on the surface of dedicated sensory neurons. The recognition of smells depends on a complex mechanism involving a combination of interactions between an odorant and a set of odorant receptors (ORs), where molecules are recognized according to a combinatorial activation code of ORs. Although these interactions have been studied for decades, the rules governing this ligand recognition remain poorly understood, and the complete combinatorial code is only known for a handful of odorants. We have carefully analyzed experimental results regarding the interactions between ORs and molecules to provide a status report on the deorphanization of ORs, i.e. the identification of the first agonist for a given sequence. This meticulous analysis highlights the influence of experimental methodology (cell line or readout) on molecule-receptor association results and shows that 83% of the results are conserved regardless of experimental conditions. The distribution of another key parameter, EC50, indicates that most OR ligand activities are in the micromolar range and that impurities could lead to erroneous conclusions. Focusing on the human ORs, our study shows that 88% of the documented sequences still need to be deorphanized. Finally, we also estimate the size of the ORs' recognition range, or broadness, as the number of odorants activating a given OR. By analogously estimating molecular broadness and combining the two estimates we propose a basic framework that can serve as a comparison point for future machine learning algorithms predicting OR-molecule activity.
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Affiliation(s)
- Maxence Lalis
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
| | - Matej Hladiš
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
| | - Samar Abi Khalil
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
| | - Christophe Deroo
- Expressions Parfumées, 136 chemin de St Marc, 06130, Grasse, France
| | - Christophe Marin
- Expressions Parfumées, 136 chemin de St Marc, 06130, Grasse, France
| | - Moustafa Bensafi
- Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, University Claude Bernard Lyon, Bron, France
| | - Nicolas Baldovini
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
| | - Loïc Briand
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000, Dijon, France
| | - Sébastien Fiorucci
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
| | - Jérémie Topin
- Institut de Chimie de Nice, UMR 7272, Université Côte d'Azur, Nice, France
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Ferreira JS, Bruschi DP. Tracking the Diversity and Chromosomal Distribution of the Olfactory Receptor Gene Repertoires of Three Anurans Species. J Mol Evol 2023; 91:793-805. [PMID: 37906255 DOI: 10.1007/s00239-023-10135-y] [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: 03/29/2023] [Accepted: 10/02/2023] [Indexed: 11/02/2023]
Abstract
Olfaction is a crucial capability for most vertebrates and is realized through olfactory receptors in the nasal cavity. The enormous diversity of olfactory receptors has been created by gene duplication, following a birth-and-death model of evolution. The olfactory receptor genes of the amphibians have received relatively little attention up to now, although recent studies have increased the number of species for which data are available. This study analyzed the diversity and chromosomal distribution of the OR genes of three anuran species (Engystomops pustulosus, Bufo bufo and Hymenochirus boettgeri). The OR genes were identified through searches for homologies, and sequence filtering and alignment using bioinformatic tools and scripts. A high diversity of OR genes was found in all three species, ranging from 917 in B. bufo to 1194 in H. boettgeri, and a total of 2076 OR genes in E. pustulosus. Six OR groups were recognized using an evolutionary gene tree analysis. While E. pustulosus has one of the highest numbers of genes of the gamma group (which detect airborne odorants) yet recorded in an anuran, B. bufo presented the smallest number of pseudogene sequences ever identified, with no pseudogenes in either the beta or epsilon groups. Although H. boettgeri shares many morphological adaptations for an aquatic lifestyle with Xenopus, and presented a similar number of genes related to the detection of water-soluble odorants, it had comparatively far fewer genes related to the detection of airborne odorants. This study is the first to describe the complete OR repertoire of the three study species and represents an important contribution to the understanding of the evolution and function of the sense of smell in vertebrates.
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Affiliation(s)
- Johnny Sousa Ferreira
- Laboratório de Citogenética Evolutiva e Conservação Animal (LabCECA), Departamento de Genética, Universidade Federal do Paraná (UFPR), Paraná, Brazil
| | - Daniel Pacheco Bruschi
- Laboratório de Citogenética Evolutiva e Conservação Animal (LabCECA), Departamento de Genética, Universidade Federal do Paraná (UFPR), Paraná, Brazil.
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Courcelle M, Fabre PH, Douzery EJP. Phylogeny, Ecology, and Gene Families Covariation Shaped the Olfactory Subgenome of Rodents. Genome Biol Evol 2023; 15:evad197. [PMID: 37972291 PMCID: PMC10653590 DOI: 10.1093/gbe/evad197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2023] [Indexed: 11/19/2023] Open
Abstract
Olfactory receptor (OR) genes represent the largest multigenic family in mammalian genomes and encode proteins that bind environmental odorant molecules. The OR repertoire is extremely variable among species and is subject to many gene duplications and losses, which have been linked to ecological adaptations in mammals. Although they have been studied on a broad taxonomic scale (i.e., placental), finer sampling has rarely been explored in order to better capture the mechanisms that drove the evolution of the OR repertoire. Among placental mammals, rodents are well-suited for this task, as they exhibit diverse life history traits, and genomic data are available for most major families and a diverse array of lifestyles. In this study, 53 rodent published genomes were mined for their OR subgenomes. We retrieved more than 85,000 functional and pseudogene OR sequences that were subsequently classified into phylogenetic clusters. Copy number variation among rodents is similar to that of other mammals. Using our OR counts along with comparative phylogenetic approaches, we demonstrated that ecological niches such as diet, period of activity, and a fossorial lifestyle strongly impacted the proportion of OR pseudogenes. Within the OR subgenome, phylogenetic inertia was the main factor explaining the relative variations of the 13 OR gene families. However, a striking exception was a convergent 10-fold expansion of the OR family 14 among the phylogenetically divergent subterranean mole-rat lineages belonging to Bathyergidae and Spalacidae families. This study illustrates how the diversity of the OR repertoire has evolved among rodents, both shaped by selective forces stemming from species life history traits and neutral evolution along the rodent phylogeny.
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Affiliation(s)
- Maxime Courcelle
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
- CIRAD, UMR ASTRE, Montpellier, France
| | - Pierre-Henri Fabre
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
- Mammal Section, Life Sciences, Vertebrate Division, The Natural History Museum, London, United Kingdom
- Institut Universitaire de France (IUF), Section Biologie-Médecine-Santé, Paris, France
| | - Emmanuel J P Douzery
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
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Li Q, Zhang YF, Zhang TM, Wan JH, Zhang YD, Yang H, Huang Y, Xu C, Li G, Lu HM. iORbase: A database for the prediction of the structures and functions of insect olfactory receptors. INSECT SCIENCE 2023; 30:1245-1254. [PMID: 36519267 DOI: 10.1111/1744-7917.13162] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 11/01/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Insect olfactory receptors (iORs) with atypical 7-transmembrane domains, unlike Chordata olfactory receptors, are not in the GPCR protein family. iORs selectively bind to volatile ligands in the environment and affect essential insect behaviors. In this study, we constructed a new platform (iORbase, https://www.iorbase.com) for the structural and functional analysis of iORs based on a combined algorithm for gene annotation and protein structure prediction. Moreover, it provides the option to calculate the binding affinities and binding residues between iORs and pheromone molecules by virtual screening of docking. Furthermore, iORbase supports the automatic structural and functional prediction of user-submitted iORs or pheromones. iORbase contains the well-analyzed results of approximately 6 000 iORs and their 3D protein structures identified from 59 insect species and 2 077 insect pheromones from the literature, as well as approximately 12 million pairs of simulated interactions between functional iORs and pheromones. We also built 4 online modules, iORPDB, iInteraction, iModelTM, and iOdorTool to easily retrieve and visualize the 3D structures and interactions. iORbase can help greatly improve the experimental efficiency and success rate, identify new insecticide targets, or develop electronic nose technology. This study will shed light on the olfactory recognition mechanism and evolutionary characteristics from the perspectives of omics and macroevolution.
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Affiliation(s)
- Qian Li
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
| | - Yi-Feng Zhang
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
| | - Tian-Min Zhang
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Jia-Hui Wan
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
| | - Yu-Dan Zhang
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
| | - Hui Yang
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
| | - Yuan Huang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Chang Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Gang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Hui-Meng Lu
- School of Life Sciences, Key Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an, China
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Dornburg A, Mallik R, Wang Z, Bernal MA, Thompson B, Bruford EA, Nebert DW, Vasiliou V, Yohe LR, Yoder JA, Townsend JP. Placing human gene families into their evolutionary context. Hum Genomics 2022; 16:56. [PMID: 36369063 PMCID: PMC9652883 DOI: 10.1186/s40246-022-00429-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/12/2022] [Indexed: 11/13/2022] Open
Abstract
Following the draft sequence of the first human genome over 20 years ago, we have achieved unprecedented insights into the rules governing its evolution, often with direct translational relevance to specific diseases. However, staggering sequence complexity has also challenged the development of a more comprehensive understanding of human genome biology. In this context, interspecific genomic studies between humans and other animals have played a critical role in our efforts to decode human gene families. In this review, we focus on how the rapid surge of genome sequencing of both model and non-model organisms now provides a broader comparative framework poised to empower novel discoveries. We begin with a general overview of how comparative approaches are essential for understanding gene family evolution in the human genome, followed by a discussion of analyses of gene expression. We show how homology can provide insights into the genes and gene families associated with immune response, cancer biology, vision, chemosensation, and metabolism, by revealing similarity in processes among distant species. We then explain methodological tools that provide critical advances and show the limitations of common approaches. We conclude with a discussion of how these investigations position us to gain fundamental insights into the evolution of gene families among living organisms in general. We hope that our review catalyzes additional excitement and research on the emerging field of comparative genomics, while aiding the placement of the human genome into its existentially evolutionary context.
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Affiliation(s)
- Alex Dornburg
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA.
| | - Rittika Mallik
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
| | - Zheng Wang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Moisés A Bernal
- Department of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, AL, USA
| | - Brian Thompson
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Elspeth A Bruford
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Daniel W Nebert
- Department of Environmental Health, Center for Environmental Genetics, University of Cincinnati Medical Center, P.O. Box 670056, Cincinnati, OH, 45267, USA
- Department of Pediatrics and Molecular Developmental Biology, Division of Human Genetics, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Laurel R Yohe
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
| | - Jeffrey A Yoder
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Jeffrey P Townsend
- Department of Bioinformatics and Genomics, UNC-Charlotte, Charlotte, NC, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
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