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Wang G, Zhang X, Zhao X, Ren X, Chen A, Dai W, Zhang L, Lu Y, Jiang Z, Wang H, Liu Y, Zhao X, Wen J, Cheng X, Zhang Y, Ning Z, Ban L, Qu L. Genomic evidence for hybridization and introgression between blue peafowl and endangered green peafowl and molecular foundation of leucistic plumage of blue peafowl. Gigascience 2025; 14:giae124. [PMID: 39965774 PMCID: PMC11835448 DOI: 10.1093/gigascience/giae124] [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: 07/18/2024] [Revised: 11/10/2024] [Accepted: 12/26/2024] [Indexed: 02/20/2025] Open
Abstract
INTRODUCTION The blue peafowl (Pavo cristatus) and the green peafowl (Pavo muticus) have garnered significant public affection due to their stunning appearance, although the green peafowl is currently endangered. The causative mutation that causes the leucistic plumage of the blue peafowl (also called white peafowl) remains unknown. RESULTS In this study, we generated a chromosome-level reference genome of the blue peafowl with a contig N50 of 30.6 Mb, including the autosomes, Z and W sex chromosomes, and a complete mitochondria DNA sequence. Data from 77 peafowl whole genomes, 76 peafowl mitochondrial genomes, and 33 peafowl W chromosomes genomes provided the first substantial genetic evidence for recent hybridization between green peafowls and blue peafowls. We found 3 hybrid green peafowls in zoo samples rather than in the wild samples, with a blue peafowl genomic content of 16-34%. Maternal genetic analysis showed that 2 of the hybrid female green peafowls contained complete blue peafowl mitochondrial genomes and W chromosomes. Some animal protection agencies release captive green peafowls in order to maintain the wild population of green peafowls. Therefore, to better protect the endangered green peafowl, we suggest that purebred identification must be carried out before releasing green peafowls from zoos into the wild in order to prevent the hybrid green peafowl from contaminating the wild green peafowl. In addition, we also found that there were historical introgression events of green peafowl to blue peafowl in 4 zoo blue peafowl individuals. The introgressed genomic regions contain IGFBP1 and IGFBP3 genes that could affect blue peafowl body size. Finally, we identified that the nonsense mutation (g.4:12583552G>A) in the EDNRB2 gene is the genetic causative mutation for leucistic plumage of blue peafowl, preventing melanocytes from being transported into plumage, thereby inhibiting melanin deposition. CONCLUSION Our research provides both theoretical and empirical support for the conservation of the endangered green peafowl. The high-quality genome and genomic data also provide a valuable resource for blue peafowl genomics-assisted breeding.
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Affiliation(s)
- Gang Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Xinye Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Xiurong Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Xufang Ren
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Anqi Chen
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Wenting Dai
- College of Grassland Science and Technology, China Agricultural University, Beijing 100091, China
| | - Li Zhang
- Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing 100091, China
| | - Yan Lu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
| | - Zhihua Jiang
- Department of Animal Sciences, Washington State University, Pullman, WA 99164, USA
| | - Huie Wang
- School of Animal Science and technology, Tarim University, Xinjiang 843300, China
| | - Yong Liu
- Nongxiao Breeding Poultry Breeding Co., Ltd. Beijing 102400, China
| | - Xiaoyu Zhao
- Xingrui Technology Co., Ltd. Hebei 072557, China
| | - Junhui Wen
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Xue Cheng
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Yalan Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Zhonghua Ning
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
| | - Liping Ban
- College of Grassland Science and Technology, China Agricultural University, Beijing 100091, China
| | - Lujiang Qu
- College of Animal Science and Technology, China Agricultural University, Beijing 100091, China
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Ruesink-Bueno IL, Drews A, O’Connor EA, Westerdahl H. Expansion of MHC-IIB Has Constrained the Evolution of MHC-IIA in Passerines. Genome Biol Evol 2024; 16:evae236. [PMID: 39462092 PMCID: PMC11562119 DOI: 10.1093/gbe/evae236] [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: 07/05/2024] [Revised: 09/22/2024] [Accepted: 10/17/2024] [Indexed: 10/29/2024] Open
Abstract
The major histocompatibility complex (MHC) is central in adaptive immunity, with the highly polymorphic MHC genes encoding antigen-presenting molecules. Two MHC class II (MHC-II) loci, DA1 and DA2, predate the radiation of extant birds and persist throughout much of the avian phylogeny. Within each locus, the MHC-II molecules are encoded by A-genes (DAA) and B-genes (DAB), which are arranged in A-B dyads. However, in passerines (order Passeriformes), the DA2 locus has been lost, and the ancestral A-B dyad at the DA1 locus has been replaced by a putatively single A-gene (DAA1) and an array of highly polymorphic B-genes (DAB1). In this study, we genotyped the DAA1 gene of 15 passerine species and confirmed that passerines possess just one copy of DAA1. We then compared selection patterns in DAA1 between passerines and nonpasserines and found that exon 2, which encodes the antigen-presenting domain, has been subject to weaker positive selection and stronger negative selection in passerines compared with nonpasserines. Additional comparisons showed that the patterns of selection in the passerine DAA1 gene are unlikely to be related to the loss of the DA2 locus. Instead, our findings suggest that the expansion of DAB1 (MHC-IIB) has imposed an evolutionary constraint on the passerine DAA1 (MHC-IIA) gene. We speculate that this constraint may be the result of each DAA1 chain forming heterodimers with many different DAB1 chains.
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Affiliation(s)
| | - Anna Drews
- Department of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden
| | - Emily Amelia O’Connor
- Department of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden
| | - Helena Westerdahl
- Department of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden
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Xu X, Wang C, Xu C, Yuan J, Wang G, Wu Y, Huang C, Jing H, Yang P, Xu L, Peng S, Shan F, Xia X, Jin F, Hou F, Wang J, Mi D, Ren Y, Liu Y, Irwin DM, Li X, Chen W, Li G. Genomic evolution of island birds from the view of the Swinhoe's pheasant (Lophura swinhoii). Mol Ecol Resour 2024; 24:e13896. [PMID: 37955396 DOI: 10.1111/1755-0998.13896] [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: 07/05/2023] [Revised: 10/26/2023] [Accepted: 10/31/2023] [Indexed: 11/14/2023]
Abstract
Island endemic birds account for the majority of extinct vertebrates in the past few centuries. To date, the evolutionary characteristics of island endemic bird's is poorly known. In this research, we de novo assembled a high-quality chromosome-level reference genome for the Swinhoe's pheasant, which is a typical endemic island bird. Results of collinearity tests suggest rapid ancient chromosome rearrangement that may have contributed to the initial species radiation within Phasianidae, and a role for the insertions of CR1 transposable elements in rearranging chromosomes in Phasianidae. During the evolution of the Swinhoe's pheasant, natural selection positively selected genes involved in fecundity and body size functions, at both the species and population levels, which reflect genetic variation associated with island adaptation. We further tested for variation in population genomic traits between the Swinhoe's pheasant and its phylogenetically closely related mainland relative the silver pheasant, and found higher levels of genetic drift and inbreeding in the Swinhoe's pheasant genome. Divergent demographic histories of insular and mainland bird species during the last glacial period may reflect the differing impact of insular and continental climates on the evolution of species. Our research interprets the natural history and population genetic characteristics of the insular endemic bird the Swinhoe's pheasant, at a genome-wide scale, provides a broader perspective on insular speciation, and adaptive evolution and contributes to the genetic conservation of island endemic birds.
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Affiliation(s)
- Xiao Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Chen Wang
- Guangzhou Zoo, Guangzhou, China
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou, China
| | - Chunzhong Xu
- Shanghai Wild Animal Park Development Co., Ltd, Shanghai, China
| | - Jiaqing Yuan
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Guiqiang Wang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Yajiang Wu
- Guangzhou Zoo, Guangzhou, China
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou, China
| | - Chen Huang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Haohao Jing
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Peng Yang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Lulu Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Shiming Peng
- Guangzhou Zoo, Guangzhou, China
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou, China
| | - Fen Shan
- Guangzhou Zoo, Guangzhou, China
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou, China
| | - Xiaochao Xia
- Guangdong Wildlife Monitoring, Rescue and Conservation Center, Guangzhou, China
| | - Fuyuan Jin
- Guangdong Maoming Forest Park Administrative Office, Maoming, China
| | - Fanghui Hou
- Shanghai Wild Animal Park Development Co., Ltd, Shanghai, China
| | - Jinhong Wang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Da Mi
- Xi'an Haorui Genomics Technology Co., Ltd, Xi'an, China
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Yandong Ren
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Yang Liu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Xuejuan Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Wu Chen
- Guangzhou Zoo, Guangzhou, China
- Guangzhou Collaborative Innovation Center on Science-Tech of Ecology and Landscape, Guangzhou, China
| | - Gang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
- Guangzhou Zoo, Guangzhou, China
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4
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Vinkler M, Fiddaman SR, Těšický M, O'Connor EA, Savage AE, Lenz TL, Smith AL, Kaufman J, Bolnick DI, Davies CS, Dedić N, Flies AS, Samblás MMG, Henschen AE, Novák K, Palomar G, Raven N, Samaké K, Slade J, Veetil NK, Voukali E, Höglund J, Richardson DS, Westerdahl H. Understanding the evolution of immune genes in jawed vertebrates. J Evol Biol 2023; 36:847-873. [PMID: 37255207 PMCID: PMC10247546 DOI: 10.1111/jeb.14181] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 04/23/2023] [Accepted: 04/26/2023] [Indexed: 06/01/2023]
Abstract
Driven by co-evolution with pathogens, host immunity continuously adapts to optimize defence against pathogens within a given environment. Recent advances in genetics, genomics and transcriptomics have enabled a more detailed investigation into how immunogenetic variation shapes the diversity of immune responses seen across domestic and wild animal species. However, a deeper understanding of the diverse molecular mechanisms that shape immunity within and among species is still needed to gain insight into-and generate evolutionary hypotheses on-the ultimate drivers of immunological differences. Here, we discuss current advances in our understanding of molecular evolution underpinning jawed vertebrate immunity. First, we introduce the immunome concept, a framework for characterizing genes involved in immune defence from a comparative perspective, then we outline how immune genes of interest can be identified. Second, we focus on how different selection modes are observed acting across groups of immune genes and propose hypotheses to explain these differences. We then provide an overview of the approaches used so far to study the evolutionary heterogeneity of immune genes on macro and microevolutionary scales. Finally, we discuss some of the current evidence as to how specific pathogens affect the evolution of different groups of immune genes. This review results from the collective discussion on the current key challenges in evolutionary immunology conducted at the ESEB 2021 Online Satellite Symposium: Molecular evolution of the vertebrate immune system, from the lab to natural populations.
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Affiliation(s)
- Michal Vinkler
- Department of ZoologyFaculty of ScienceCharles UniversityPragueCzech Republic
| | | | - Martin Těšický
- Department of ZoologyFaculty of ScienceCharles UniversityPragueCzech Republic
| | | | - Anna E. Savage
- Department of BiologyUniversity of Central FloridaFloridaOrlandoUSA
| | - Tobias L. Lenz
- Research Unit for Evolutionary ImmunogenomicsDepartment of BiologyUniversity of HamburgHamburgGermany
| | | | - Jim Kaufman
- Institute for Immunology and Infection ResearchUniversity of EdinburghEdinburghUK
- Department of Veterinary MedicineUniversity of CambridgeCambridgeUK
| | - Daniel I. Bolnick
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticutUSA
| | | | - Neira Dedić
- Department of Botany and ZoologyMasaryk UniversityBrnoCzech Republic
| | - Andrew S. Flies
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTasmaniaAustralia
| | - M. Mercedes Gómez Samblás
- Department of ZoologyFaculty of ScienceCharles UniversityPragueCzech Republic
- Department of ParasitologyUniversity of GranadaGranadaSpain
| | | | - Karel Novák
- Department of Genetics and BreedingInstitute of Animal SciencePragueUhříněvesCzech Republic
| | - Gemma Palomar
- Faculty of BiologyInstitute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - Nynke Raven
- Department of ScienceEngineering and Build EnvironmentDeakin UniversityVictoriaWaurn PondsAustralia
| | - Kalifa Samaké
- Department of Genetics and MicrobiologyFaculty of ScienceCharles UniversityPragueCzech Republic
| | - Joel Slade
- Department of BiologyCalifornia State UniversityFresnoCaliforniaUSA
| | | | - Eleni Voukali
- Department of ZoologyFaculty of ScienceCharles UniversityPragueCzech Republic
| | - Jacob Höglund
- Department of Ecology and GeneticsUppsala UniversitetUppsalaSweden
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5
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Sheppard EC, Martin CA, Armstrong C, González-Quevedo C, Illera JC, Suh A, Spurgin LG, Richardson DS. Genomic associations with poxvirus across divergent island populations in Berthelot's pipit. Mol Ecol 2022; 31:3154-3173. [PMID: 35395699 PMCID: PMC9321574 DOI: 10.1111/mec.16461] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/04/2022] [Accepted: 04/04/2022] [Indexed: 11/30/2022]
Abstract
Understanding the mechanisms and genes that enable animal populations to adapt to pathogens is important from an evolutionary, health and conservation perspective. Berthelot's pipit (Anthus berthelotii) experiences extensive and consistent spatial heterogeneity in avian pox infection pressure across its range of island populations, thus providing an excellent system with which to examine how pathogen-mediated selection drives spatial variation in immunogenetic diversity. Here we test for evidence of genetic variation associated with avian pox at both an individual and population-level. At the individual level, we find no evidence that variation in MHC class I and TLR4 (both known to be important in recognising viral infection) was associated with pox infection within two separate populations. However, using genotype-environment association (Bayenv) in conjunction with genome-wide (ddRAD-seq) data, we detected strong associations between population-level avian pox prevalence and allele frequencies of single nucleotide polymorphisms (SNPs) at a number of sites across the genome. These sites were located within genes involved in cellular stress signalling and immune responses, many of which have previously been associated with responses to viral infection in humans and other animals. Consequently, our analyses indicates that pathogen-mediated selection may play a role in shaping genomic variation among relatively recently colonised island bird populations and highlights the utility of genotype-environment associations for identifying candidate genes potentially involved in host-pathogen interactions.
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Affiliation(s)
- Eleanor C Sheppard
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK
| | - Claudia A Martin
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK
| | - Claire Armstrong
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK
| | - Catalina González-Quevedo
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK.,Grupo Ecología y Evolución de Vertebrados, Instituto de Biología, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia
| | - Juan Carlos Illera
- Biodiversity Research Institute (CSIC-Oviedo University-Principality of Asturias), University of Oviedo, Campus of Mieres, Research Building, 5th Floor, c/ Gonzalo Gutiérrez Quirós, s/n, 33600 Mieres, Asturias, Spain
| | - Alexander Suh
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK.,Department of Ecology and Genetics - Evolutionary Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK
| | - David S Richardson
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norfolk, NR4 7TJ, UK
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Liang Y, Ma Y, Zhang Y, Chen Z, Wang Z, Li X, Cui L, Xu L, Liu S, Li H. Single-Cell Analysis of the In Vivo Dynamics of Host Circulating Immune Cells Highlights the Importance of Myeloid Cells in Avian Flaviviral Infection. THE JOURNAL OF IMMUNOLOGY 2021; 207:2878-2891. [PMID: 34697228 DOI: 10.4049/jimmunol.2100116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 09/24/2021] [Indexed: 01/26/2023]
Abstract
Ducks are an economically important waterfowl but a natural reservoir for some zoonotic pathogens, such as influenza virus and flaviviruses. Our understanding of the duck immune system and its interaction with viruses remains incomplete. In this study, we constructed the transcriptomic landscape of duck circulating immune cells, the first line of defense in the arthropod-borne transmission of arboviruses, using high-throughput single-cell transcriptome sequencing, which defined 14 populations of peripheral blood leukocytes (PBLks) based on distinct molecular signatures and revealed differences in the clustering of PBLks between ducks and humans. Taking advantage of in vivo sex differences in the susceptibility of duck PBLks to avian tembusu virus (TMUV) infection, a mosquito-borne flavivirus newly emerged from ducks with a broad host range from mosquitos to mammals, a comprehensive comparison of the in vivo dynamics of duck PBLks upon TMUV infection between sexes was performed at the single-cell level. Using this in vivo model, we discovered that TMUV infection reprogrammed duck PBLks differently between sexes, driving the expansion of granulocytes and priming granulocytes and monocytes for antiviral immune activation in males but decreasing the antiviral immune activity of granulocytes and monocytes by restricting their dynamic transitions from steady states to antiviral states with a decrease in the abundance of circulating monocytes in females. This study provides insights into the initial immune responses of ducks to arthropod-borne flaviviral infection and provides a framework for studying duck antiviral immunity.
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Affiliation(s)
- Yumeng Liang
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Yong Ma
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China
| | - Yanhui Zhang
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Zhijie Chen
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Zhitao Wang
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Xuefeng Li
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Lu Cui
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Li Xu
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Shengwang Liu
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
| | - Hai Li
- State Key Laboratory of Veterinary Biotechnology, National Poultry Laboratory Animal Resource Center, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, People's Republic of China; and
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Comprehensive Characterization of Multitissue Expression Landscape, Co-Expression Networks and Positive Selection in Pikeperch. Cells 2021; 10:cells10092289. [PMID: 34571938 PMCID: PMC8471114 DOI: 10.3390/cells10092289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 11/19/2022] Open
Abstract
Promising efforts are ongoing to extend genomics resources for pikeperch (Sander lucioperca), a species of high interest for the sustainable European aquaculture sector. Although previous work, including reference genome assembly, transcriptome sequence, and single-nucleotide polymorphism genotyping, added a great wealth of genomic tools, a comprehensive characterization of gene expression across major tissues in pikeperch still remains an unmet research need. Here, we used deep RNA-Sequencing of ten vital tissues collected in eight animals to build a high-confident and annotated trancriptome atlas, to detect the tissue-specificity of gene expression and co-expression network modules, and to investigate genome-wide selective signatures in the Percidae fish family. Pathway enrichment and protein–protein interaction network analyses were performed to characterize the unique biological functions of tissue-specific genes and co-expression modules. We detected strong functional correlations and similarities of tissues with respect to their expression patterns—but also significant differences in the complexity and composition of their transcriptomes. Moreover, functional analyses revealed that tissue-specific genes essentially play key roles in the specific physiological functions of the respective tissues. Identified network modules were also functionally coherent with tissues’ main physiological functions. Although tissue specificity was not associated with positive selection, several genes under selection were found to be involved in hypoxia, immunity, and gene regulation processes, that are crucial for fish adaption and welfare. Overall, these new resources and insights will not only enhance the understanding of mechanisms of organ biology in pikeperch, but also complement the amount of genomic resources for this commercial species.
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He C, Zhao L, Xiao L, Xu K, Ding J, Zhou H, Zheng Y, Han C, Akinyemi F, Luo H, Yang L, Luo L, Yuan H, Lu X, Meng H. Chromosome level assembly reveals a unique immune gene organization and signatures of evolution in the common pheasant. Mol Ecol Resour 2020; 21:897-911. [PMID: 33188724 DOI: 10.1111/1755-0998.13296] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 11/03/2020] [Accepted: 11/06/2020] [Indexed: 12/30/2022]
Abstract
The common pheasant Phasianus colchicus, belonging to the order Galliformes and family Phasianidae, is the most widespread species. Despite a long history of captivity, the domestication of this bird is still at a preliminary stage. Recently, the demand for accelerating its transformation to poultry for meat and egg production has been increasing. In this study, we assembled high quality, chromosome scale genome of the common pheasant by using PacBio long reads, next-generation short reads, and Hi-C technology. The primary assembly has contig N50 size of 1.33 Mb and scaffold N50 size of 59.46 Mb, with a total size of 0.99 Gb, resolving most macrochromosomes into single scaffolds. A total of 23,058 genes and 10.71 Mb interspersed repeats were identified, constituting 30.31% and 10.71% of the common pheasant genome, respectively. Our phylogenetic analysis revealed that the common pheasant shared common ancestors with turkey about 24.7-34.5 million years ago (Ma). Rapidly evolved gene families, as well as branch-specific positively selected genes, indicate that calcium-related genes are potentially related to the adaptive and evolutionary change of the common pheasant. Interestingly, we found that the common pheasant has a unique major histocompatibility complex B locus (MHC-B) structure: three major inversions occurred in the sequence compared with chicken MHC-B. Furthermore, we detected signals of selection in five breeds of domestic common pheasant, several of which are production-oriented.
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Affiliation(s)
- Chuan He
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lele Zhao
- Shanghai Animal Disease Control Center, Shanghai, China
| | - Lu Xiao
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Xu
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Jinmei Ding
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Zhou
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yuming Zheng
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chengxiao Han
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Fisayo Akinyemi
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Huaixi Luo
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lingyu Yang
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lingxiao Luo
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hongyan Yuan
- Shanghai Xinhao Rare Poultry Breeding Co. Ltd., Shanghai, China
| | - Xuelin Lu
- Shanghai Animal Disease Control Center, Shanghai, China
| | - He Meng
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
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Abstract
All organisms encounter pathogens, and birds are especially susceptible to infection by malaria parasites and other haemosporidians. It is important to understand how immune genes, primarily innate immune genes which are the first line of host defense, have evolved across birds, a highly diverse group of tetrapods. Here, we find that innate immune genes are highly conserved across the avian tree of life and that although most show evidence of positive or diversifying selection within specific lineages or clades, the number of sites is often proportionally low in this broader context of putative constraint. Rather, the evidence shows a much higher level of negative or purifying selection in these innate immune genes - rather than adaptive immune genes - which is consistent with birds' long coevolutionary history with pathogens and the need to maintain a rapid response to infection. We further explored avian responses to haemosporidians by comparing differential gene expression in wild birds (1) uninfected with haemosporidians, (2) infected with Plasmodium, and (3) infected with Haemoproteus (Parahaemoproteus). We found patterns of significant differential expression with some genes unique to infection with each genus and a few shared between "treatment" groups, but none that overlapped with the genes included in the phylogenetic study.
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10
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Bentz AB, Thomas GWC, Rusch DB, Rosvall KA. Tissue-specific expression profiles and positive selection analysis in the tree swallow (Tachycineta bicolor) using a de novo transcriptome assembly. Sci Rep 2019; 9:15849. [PMID: 31676844 PMCID: PMC6825141 DOI: 10.1038/s41598-019-52312-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 10/09/2019] [Indexed: 12/17/2022] Open
Abstract
Tree swallows (Tachycineta bicolor) are one of the most commonly studied wild birds in North America. They have advanced numerous research areas, including life history, physiology, and organismal responses to global change; however, transcriptomic resources are scarce. To further advance the utility of this system for biologists across disciplines, we generated a transcriptome for the tree swallow using six tissues (brain, blood, ovary, spleen, liver, and muscle) collected from breeding females. We de novo assembled 207,739 transcripts, which we aligned to 14,717 high confidence protein-coding genes. We then characterized each tissue with regard to its unique genes and processes and applied this transcriptome to two fundamental questions in evolutionary biology and endocrinology. First, we analyzed 3,015 single-copy orthologs and identified 46 genes under positive selection in the tree swallow lineage, including those with putative links to adaptations in this species. Second, we analyzed tissue-specific expression patterns of genes involved in sex steroidogenesis and processing. Enzymes capable of synthesizing these behaviorally relevant hormones were largely limited to the ovary, whereas steroid binding genes were found in nearly all other tissues, highlighting the potential for local regulation of sex steroid-mediated traits. These analyses provide new insights into potential sources of phenotypic variation in a free-living female bird and advance our understanding of fundamental questions in evolutionary and organismal biology.
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Affiliation(s)
- Alexandra B Bentz
- Department of Biology, Indiana University, Bloomington, IN, 47405, USA. .,Center for the Integrative Study of Animal Behavior, Indiana University, Bloomington, IN, 47405, USA.
| | - Gregg W C Thomas
- Department of Biology, Indiana University, Bloomington, IN, 47405, USA.,Department of Computer Science, Indiana University, Bloomington, IN, 47405, USA
| | - Douglas B Rusch
- Department of Biology, Indiana University, Bloomington, IN, 47405, USA.,Center for Genomics and Bioinformatics, Indiana University, Bloomington, IN, 47405, USA
| | - Kimberly A Rosvall
- Department of Biology, Indiana University, Bloomington, IN, 47405, USA.,Center for the Integrative Study of Animal Behavior, Indiana University, Bloomington, IN, 47405, USA
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11
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Chapman JR, Hill T, Unckless RL. Balancing Selection Drives the Maintenance of Genetic Variation in Drosophila Antimicrobial Peptides. Genome Biol Evol 2019; 11:2691-2701. [PMID: 31504505 PMCID: PMC6764478 DOI: 10.1093/gbe/evz191] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2019] [Indexed: 12/19/2022] Open
Abstract
Genes involved in immune defense against pathogens provide some of the most well-known examples of both directional and balancing selection. Antimicrobial peptides (AMPs) are innate immune effector genes, playing a key role in pathogen clearance in many species, including Drosophila. Conflicting lines of evidence have suggested that AMPs may be under directional, balancing, or purifying selection. Here, we use both a linear model and control-gene-based approach to show that balancing selection is an important force shaping AMP diversity in Drosophila. In Drosophila melanogaster, this is most clearly observed in ancestral African populations. Furthermore, the signature of balancing selection is even more striking once background selection has been accounted for. Balancing selection also acts on AMPs in Drosophila mauritiana, an isolated island endemic separated from D. melanogaster by about 4 Myr of evolution. This suggests that balancing selection may be broadly acting to maintain adaptive diversity in Drosophila AMPs, as has been found in other taxa.
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Affiliation(s)
| | - Tom Hill
- Department of Molecular Biosciences, University of Kansas
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12
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Scalf CS, Chariker JH, Rouchka EC, Ashley NT. Transcriptomic analysis of immune response to bacterial lipopolysaccharide in zebra finch (Taeniopygia guttata). BMC Genomics 2019; 20:647. [PMID: 31412766 PMCID: PMC6693190 DOI: 10.1186/s12864-019-6016-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 08/05/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Despite the convergence of rapid technological advances in genomics and the maturing field of ecoimmunology, our understanding of the genes that regulate immunity in wild populations is still nascent. Previous work to assess immune function has relied upon relatively crude measures of immunocompetence. However, with next-generation RNA-sequencing, it is now possible to create a profile of gene expression in response to an immune challenge. In this study, captive zebra finch (Taeniopygia guttata; adult males) were challenged with bacterial lipopolysaccharide (LPS) or vehicle to stimulate the innate immune system. 2 hours after injection, birds were euthanized and hypothalami, spleen, and red blood cells (RBCs) were collected. Taking advantage of the fully sequenced genome of zebra finch, total RNA was isolated, sequenced, and partially annotated in these tissue/cells. RESULTS In hypothalamus, there were 707 significantly upregulated transcripts, as well as 564 and 144 in the spleen and RBCs, respectively, relative to controls. Also, 155 transcripts in the hypothalamus, 606 in the spleen, and 61 in the RBCs were significantly downregulated. More specifically, a number of immunity-related transcripts (e.g., IL-1β, RSAD2, SOCS3) were upregulated among tissues/cells. Additionally, transcripts involved in metabolic processes (APOD, LRAT, RBP4) were downregulated. CONCLUSIONS These results suggest a potential trade-off in expression of genes that regulate immunity and metabolism in birds challenged with LPS. This finding is consistent with a hypothermic response to LPS treatment in small birds. Unlike mammals, birds have nucleated RBCs, and these results support a novel transcriptomic response of avian RBCs to immune challenge.
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Affiliation(s)
- Cassandra S Scalf
- Department of Biology, Western Kentucky University, Bowling Green, KY, 42101-1800, USA
| | - Julia H Chariker
- Department of Neuroscience Training, University of Louisville, Louisville, KY, 40292, USA
| | - Eric C Rouchka
- Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, 40292, USA
| | - Noah T Ashley
- Department of Biology, Western Kentucky University, Bowling Green, KY, 42101-1800, USA.
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13
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Jaiswal SK, Gupta A, Saxena R, Prasoodanan VPK, Sharma AK, Mittal P, Roy A, Shafer ABA, Vijay N, Sharma VK. Genome Sequence of Peacock Reveals the Peculiar Case of a Glittering Bird. Front Genet 2018; 9:392. [PMID: 30283495 PMCID: PMC6156156 DOI: 10.3389/fgene.2018.00392] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 08/29/2018] [Indexed: 12/03/2022] Open
Abstract
The unique ornamental features and extreme sexual traits of Peacock have always intrigued scientists and naturalists for centuries. However, the genomic basis of these phenotypes are yet unknown. Here, we report the first genome sequence and comparative analysis of peacock with the high quality genomes of chicken, turkey, duck, flycatcher and zebra finch. Genes involved in early developmental pathways including TGF-β, BMP, and Wnt signaling, which have been shown to be involved in feather patterning, bone morphogenesis, and skeletal muscle development, revealed signs of adaptive evolution and provided useful clues on the phenotypes of peacock. Innate and adaptive immune genes involved in complement system and T-cell response also showed signs of adaptive evolution in peacock suggesting their possible role in building a robust immune system which is consistent with the predictions of the Hamilton–Zuk hypothesis. This study provides novel genomic and evolutionary insights into the molecular understanding toward the phenotypic evolution of Indian peacock.
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Affiliation(s)
- Shubham K Jaiswal
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Ankit Gupta
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Rituja Saxena
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Vishnu P K Prasoodanan
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Ashok K Sharma
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Parul Mittal
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Ankita Roy
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Aaron B A Shafer
- Forensic Science and Environmental and Life Sciences, Trent University, Peterborough, ON, Canada
| | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
| | - Vineet K Sharma
- Metagenomics and Systems Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal, India
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14
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Fijarczyk A, Dudek K, Babik W. Selective Landscapes in newt Immune Genes Inferred from Patterns of Nucleotide Variation. Genome Biol Evol 2016; 8:3417-3432. [PMID: 27702815 PMCID: PMC5203778 DOI: 10.1093/gbe/evw236] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Host–pathogen interactions may result in either directional selection or in pressure for the maintenance of polymorphism at the molecular level. Hence signatures of both positive and balancing selection are expected in immune genes. Because both overall selective pressure and specific targets may differ between species, large-scale population genomic studies are useful in detecting functionally important immune genes and comparing selective landscapes between taxa. Such studies are of particular interest in amphibians, a group threatened worldwide by emerging infectious diseases. Here, we present an analysis of polymorphism and divergence of 634 immune genes in two lineages of Lissotriton newts: L. montandoni and L. vulgaris graecus. Variation in newt immune genes has been shaped predominantly by widespread purifying selection and strong evolutionary constraint, implying long-term importance of these genes for functioning of the immune system. The two evolutionary lineages differ in the overall strength of purifying selection which can partially be explained by demographic history but may also signal differences in long-term pathogen pressure. The prevalent constraint notwithstanding, 23 putative targets of positive selection and 11 putative targets of balancing selection were identified. The latter were detected by composite tests involving the demographic model and further validated in independent population samples. Putative targets of balancing selection encode proteins which may interact closely with pathogens but include also regulators of immune response. The identified candidates will be useful for testing whether genes affected by balancing selection are more prone to interspecific introgression than other genes in the genome.
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Affiliation(s)
- Anna Fijarczyk
- Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland
| | - Katarzyna Dudek
- Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland
| | - Wieslaw Babik
- Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland
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15
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Gonzalez-Quevedo C, Davies RG, Phillips KP, Spurgin LG, Richardson DS. Landscape-scale variation in an anthropogenic factor shapes immune gene variation within a wild population. Mol Ecol 2016; 25:4234-46. [PMID: 27411090 DOI: 10.1111/mec.13759] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/23/2016] [Accepted: 07/05/2016] [Indexed: 02/03/2023]
Abstract
Understanding the spatial scale at which selection acts upon adaptive genetic variation in natural populations is fundamental to our understanding of evolutionary ecology, and has important ramifications for conservation. The environmental factors to which individuals of a population are exposed can vary at fine spatial scales, potentially generating localized patterns of adaptation. Here, we compared patterns of neutral and major histocompatibility complex (MHC) variation within an island population of Berthelot's pipit (Anthus berthelotii) to assess whether landscape-level differences in pathogen-mediated selection generate fine-scale spatial structuring in these immune genes. Specifically, we tested for spatial associations between the distribution of avian malaria, and the factors previously shown to influence that distribution, and MHC variation within resident individuals. Although we found no overall genetic structure across the population for either neutral or MHC loci, we did find localized associations between environmental factors and MHC variation. One MHC class I allele (ANBE48) was directly associated with malaria infection risk, while the presence of the ANBE48 and ANBE38 alleles within individuals correlated (positively and negatively, respectively) with distance to the nearest poultry farm, an anthropogenic factor previously shown to be an important determinant of disease distribution in the study population. Our findings highlight the importance of considering small spatial scales when studying the patterns and processes involved in evolution at adaptive loci.
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Affiliation(s)
- Catalina Gonzalez-Quevedo
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.,Grupo Ecología y Evolución de Vertebrados, Instituto de Biología, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia, Calle 70 No. 52-21, Medellín, Colombia
| | - Richard G Davies
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Karl P Phillips
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.,Evolutionary Biology Group, Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - David S Richardson
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
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16
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Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution. CONSERV GENET 2016. [DOI: 10.1007/s10592-016-0863-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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17
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Bateson ZW, Whittingham LA, Johnson JA, Dunn PO. Contrasting patterns of selection and drift between two categories of immune genes in prairie-chickens. Mol Ecol 2015; 24:6095-106. [PMID: 26547898 DOI: 10.1111/mec.13459] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 10/31/2015] [Accepted: 11/03/2015] [Indexed: 12/22/2022]
Abstract
Immune-receptor genes of the adaptive immune system, such as the major histocompatibility complex (MHC), are involved in recognizing specific pathogens and are known to have high rates of adaptive evolution, presumably as a consequence of rapid co-evolution between hosts and pathogens. In contrast, many 'mediating' genes of the immune system do not interact directly with specific pathogens and are involved in signalling (e.g. cytokines) or controlling immune cell growth. As a consequence, we might expect stronger selection at immune-receptor than mediating genes, but these two types of genes have not been compared directly in wild populations. Here, we tested the hypothesis that selection differs between MHC (class I and II) and mediating genes by comparing levels of population differentiation across the range of greater prairie-chickens (Tympanuchus cupido). As predicted, there was stronger population differentiation and isolation by distance at immune receptor (MHC) than at either mediating genes or neutral microsatellites, suggesting a stronger role of local adaptation at the MHC. In contrast, mediating genes displayed weaker differentiation between populations than neutral microsatellites, consistent with selection favouring similar alleles across populations for mediating genes. In addition to selection, drift also had a stronger effect on immune receptor (MHC) than mediating genes as indicated by the stronger decline of MHC variation in relation to population size. This is the first study in the wild to show that the effects of selection and drift on immune genes vary across populations depending on their functional role.
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Affiliation(s)
- Zachary W Bateson
- Behavioral and Molecular Ecology Group, Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Linda A Whittingham
- Behavioral and Molecular Ecology Group, Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Jeff A Johnson
- Department of Biological Sciences, Institute of Applied Sciences, University of North Texas, Denton, TX, USA
| | - Peter O Dunn
- Behavioral and Molecular Ecology Group, Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
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18
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Gonzalez-Quevedo C, Spurgin LG, Illera JC, Richardson DS. Drift, not selection, shapes toll-like receptor variation among oceanic island populations. Mol Ecol 2015; 24:5852-63. [PMID: 26509790 PMCID: PMC4737395 DOI: 10.1111/mec.13437] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 10/20/2015] [Accepted: 10/22/2015] [Indexed: 01/21/2023]
Abstract
Understanding the relative role of different evolutionary forces in shaping the level and distribution of functional genetic diversity among natural populations is a key issue in evolutionary and conservation biology. To do so accurately genetic data must be analysed in conjunction with an unambiguous understanding of the historical processes that have acted upon the populations. Here, we focused on diversity at toll‐like receptor (TLR) loci, which play a key role in the vertebrate innate immune system and, therefore, are expected to be under pathogen‐mediated selection. We assessed TLR variation within and among 13 island populations (grouped into three archipelagos) of Berthelot's pipit, Anthus berthelotii, for which detailed population history has previously been ascertained. We also compared the variation observed with that found in its widespread sister species, the tawny pipit, Anthus campestris. We found strong evidence for positive selection at specific codons in TLR1LA, TLR3 and TLR4. Despite this, we found that at the allele frequency level, demographic history has played the major role in shaping patterns of TLR variation in Berthelot's pipit. Levels of diversity and differentiation within and across archipelagos at all TLR loci corresponded very closely with neutral microsatellite variation and with the severity of the bottlenecks that occurred during colonization. Our study shows that despite the importance of TLRs in combating pathogens, demography can be the main driver of immune gene variation within and across populations, resulting in patterns of functional variation that can persist over evolutionary timescales.
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Affiliation(s)
- Catalina Gonzalez-Quevedo
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.,Grupo Ecología y Evolución de Vertebrados, Instituto de Biología, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia, Calle 70 No. 52-21, Medellin, Colombia
| | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Juan Carlos Illera
- Research Unit of Biodiversity (UO-CSIC-PA), Oviedo University, Campus of Mieres, Research Building, 5th Floor. C/Gonzalo Gutiérrez Quirós, s/n, 33600 Mieres, Asturias, Spain
| | - David S Richardson
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
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19
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Vijayakumar P, Raut AA, Kumar P, Sharma D, Mishra A. De novo assembly and analysis of crow lungs transcriptome. Genome 2015; 57:499-506. [PMID: 25633965 DOI: 10.1139/gen-2014-0122] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The jungle crow (Corvus macrorhynchos) belongs to the order Passeriformes of bird species and is important for avian ecological and evolutionary genetics studies. However, there is limited information on the transcriptome data of this species. In the present study, we report the characterization of the lung transcriptome of the jungle crow using GS FLX Titanium XLR70. Altogether, 1,510,303 high-quality sequence reads with 581,198,230 bases was de novo assembled into 22,169 isotigs (isotig represents an individual transcript) and 784,009 singletons. Using these isotigs and 581,681 length-filtered (greater than 300 bp) singletons, 20,010 unique protein-coding genes were identified by BLASTx comparison against a nonredundant (nr) protein sequence database. Comparative analysis revealed that 46,604 (70.29%) and 51,642 (72.48%) of the assembled transcripts have significant similarity to zebra finch and chicken RefSeq proteins, respectively. As determined by GO annotation and KEGG pathway mapping, functional annotation of the unigenes recovered diverse biological functions and processes. Transcripts putatively involved in the immune response were identified. Furthermore, 20,599 single nucleotide polymorphisms (SNPs) and 7525 simple sequence repeats (SSRs) were retrieved from the assembled transcript database. This resource should lay an important base for future ecological, evolutionary, and conservation genetic studies on this species and in other related species.
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Affiliation(s)
- Periyasamy Vijayakumar
- a High Security Animal Disease Laboratory, Indian Veterinary Research Institute, Anand Nagar, Bhopal-462021, Madhya Pradesh, India
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20
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Harrisson KA, Pavlova A, Telonis-Scott M, Sunnucks P. Using genomics to characterize evolutionary potential for conservation of wild populations. Evol Appl 2014; 7:1008-25. [PMID: 25553064 PMCID: PMC4231592 DOI: 10.1111/eva.12149] [Citation(s) in RCA: 165] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Accepted: 02/10/2014] [Indexed: 12/16/2022] Open
Abstract
Genomics promises exciting advances towards the important conservation goal of maximizing evolutionary potential, notwithstanding associated challenges. Here, we explore some of the complexity of adaptation genetics and discuss the strengths and limitations of genomics as a tool for characterizing evolutionary potential in the context of conservation management. Many traits are polygenic and can be strongly influenced by minor differences in regulatory networks and by epigenetic variation not visible in DNA sequence. Much of this critical complexity is difficult to detect using methods commonly used to identify adaptive variation, and this needs appropriate consideration when planning genomic screens, and when basing management decisions on genomic data. When the genomic basis of adaptation and future threats are well understood, it may be appropriate to focus management on particular adaptive traits. For more typical conservations scenarios, we argue that screening genome-wide variation should be a sensible approach that may provide a generalized measure of evolutionary potential that accounts for the contributions of small-effect loci and cryptic variation and is robust to uncertainty about future change and required adaptive response(s). The best conservation outcomes should be achieved when genomic estimates of evolutionary potential are used within an adaptive management framework.
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Affiliation(s)
| | - Alexandra Pavlova
- School of Biological Sciences, Monash UniversityMelbourne, Vic., Australia
| | | | - Paul Sunnucks
- School of Biological Sciences, Monash UniversityMelbourne, Vic., Australia
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21
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Ekblom R, Wennekes P, Horsburgh GJ, Burke T. Characterization of the house sparrow (Passer domesticus) transcriptome: a resource for molecular ecology and immunogenetics. Mol Ecol Resour 2014; 14:636-46. [PMID: 24345231 DOI: 10.1111/1755-0998.12213] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Revised: 12/04/2013] [Accepted: 12/11/2013] [Indexed: 11/30/2022]
Abstract
The house sparrow (Passer domesticus) is an important model species in ecology and evolution. However, until recently, genomic resources for molecular ecological projects have been lacking in this species. Here, we present transcriptome sequencing data (RNA-Seq) from three different house sparrow tissues (spleen, blood and bursa). These tissues were specifically chosen to obtain a diverse representation of expressed genes and to maximize the yield of immune-related gene functions. After de novo assembly, 15,250 contigs were identified, representing sequence data from a total of 8756 known avian genes (as inferred from the closely related zebra finch). The transcriptome assembly contain sequence data from nine manually annotated MHC genes, including an almost complete MHC class I coding sequence. There were 407, 303 and 68 genes overexpressed in spleen, blood and bursa, respectively. Gene ontology terms related to ribosomal function were associated with overexpression in spleen and oxygen transport functions with overexpression in blood. In addition to the transcript sequences, we provide 327 gene-linked microsatellites (SSRs) with sufficient flanking sequences for primer design, and 3177 single-nucleotide polymorphisms (SNPs) within genes, that can be used in follow-up molecular ecology studies of this ecological well-studied species.
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Affiliation(s)
- Robert Ekblom
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, Uppsala, SE-75236, Sweden; Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK
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22
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Magor KE, Miranzo Navarro D, Barber MRW, Petkau K, Fleming-Canepa X, Blyth GAD, Blaine AH. Defense genes missing from the flight division. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2013; 41:377-88. [PMID: 23624185 PMCID: PMC7172724 DOI: 10.1016/j.dci.2013.04.010] [Citation(s) in RCA: 127] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Accepted: 04/16/2013] [Indexed: 05/12/2023]
Abstract
Birds have a smaller repertoire of immune genes than mammals. In our efforts to study antiviral responses to influenza in avian hosts, we have noted key genes that appear to be missing. As a result, we speculate that birds have impaired detection of viruses and intracellular pathogens. Birds are missing TLR8, a detector for single-stranded RNA. Chickens also lack RIG-I, the intracellular detector for single-stranded viral RNA. Riplet, an activator for RIG-I, is also missing in chickens. IRF3, the nuclear activator of interferon-beta in the RIG-I pathway is missing in birds. Downstream of interferon (IFN) signaling, some of the antiviral effectors are missing, including ISG15, and ISG54 and ISG56 (IFITs). Birds have only three antibody isotypes and IgD is missing. Ducks, but not chickens, make an unusual truncated IgY antibody that is missing the Fc fragment. Chickens have an expanded family of LILR leukocyte receptor genes, called CHIR genes, with hundreds of members, including several that encode IgY Fc receptors. Intriguingly, LILR homologues appear to be missing in ducks, including these IgY Fc receptors. The truncated IgY in ducks, and the duplicated IgY receptor genes in chickens may both have resulted from selective pressure by a pathogen on IgY FcR interactions. Birds have a minimal MHC, and the TAP transport and presentation of peptides on MHC class I is constrained, limiting function. Perhaps removing some constraint, ducks appear to lack tapasin, a chaperone involved in loading peptides on MHC class I. Finally, the absence of lymphotoxin-alpha and beta may account for the observed lack of lymph nodes in birds. As illustrated by these examples, the picture that emerges is some impairment of immune response to viruses in birds, either a cause or consequence of the host-pathogen arms race and long evolutionary relationship of birds and RNA viruses.
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Affiliation(s)
- Katharine E Magor
- Department of Biological Sciences, University of Alberta, Edmonton, Canada.
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23
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Characteristics of MHC class I genes in house sparrows Passer domesticus as revealed by long cDNA transcripts and amplicon sequencing. J Mol Evol 2013; 77:8-21. [PMID: 23877344 DOI: 10.1007/s00239-013-9575-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Accepted: 07/10/2013] [Indexed: 10/26/2022]
Abstract
In birds the major histocompatibility complex (MHC) organization differs both among and within orders; chickens Gallus gallus of the order Galliformes have a simple arrangement, while many songbirds of the order Passeriformes have a more complex arrangement with larger numbers of MHC class I and II genes. Chicken MHC genes are found at two independent loci, classical MHC-B and non-classical MHC-Y, whereas non-classical MHC genes are yet to be verified in passerines. Here we characterize MHC class I transcripts (α1 to α3 domain) and perform amplicon sequencing using a next-generation sequencing technique on exon 3 from house sparrow Passer domesticus (a passerine) families. Then we use phylogenetic, selection, and segregation analyses to gain a better understanding of the MHC class I organization. Trees based on the α1 and α2 domain revealed a distinct cluster with short terminal branches for transcripts with a 6-bp deletion. Interestingly, this cluster was not seen in the tree based on the α3 domain. 21 exon 3 sequences were verified in a single individual and the average numbers within an individual were nine and five for sequences with and without a 6-bp deletion, respectively. All individuals had exon 3 sequences with and without a 6-bp deletion. The sequences with a 6-bp deletion have many characteristics in common with non-classical MHC, e.g., highly conserved amino acid positions were substituted compared with the other alleles, low nucleotide diversity and just a single site was subject to positive selection. However, these alleles also have characteristics that suggest they could be classical, e.g., complete linkage and absence of a distinct cluster in a tree based on the α3 domain. Thus, we cannot determine for certain whether or not the alleles with a 6-bp deletion are non-classical based on our present data. Further analyses on segregation patterns of these alleles in combination with dating the 6-bp deletion through MHC characterization across the genus Passer may solve this matter in the future.
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Dawson HD, Loveland JE, Pascal G, Gilbert JGR, Uenishi H, Mann KM, Sang Y, Zhang J, Carvalho-Silva D, Hunt T, Hardy M, Hu Z, Zhao SH, Anselmo A, Shinkai H, Chen C, Badaoui B, Berman D, Amid C, Kay M, Lloyd D, Snow C, Morozumi T, Cheng RPY, Bystrom M, Kapetanovic R, Schwartz JC, Kataria R, Astley M, Fritz E, Steward C, Thomas M, Wilming L, Toki D, Archibald AL, Bed’Hom B, Beraldi D, Huang TH, Ait-Ali T, Blecha F, Botti S, Freeman TC, Giuffra E, Hume DA, Lunney JK, Murtaugh MP, Reecy JM, Harrow JL, Rogel-Gaillard C, Tuggle CK. Structural and functional annotation of the porcine immunome. BMC Genomics 2013; 14:332. [PMID: 23676093 PMCID: PMC3658956 DOI: 10.1186/1471-2164-14-332] [Citation(s) in RCA: 139] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2013] [Accepted: 05/03/2013] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The domestic pig is known as an excellent model for human immunology and the two species share many pathogens. Susceptibility to infectious disease is one of the major constraints on swine performance, yet the structure and function of genes comprising the pig immunome are not well-characterized. The completion of the pig genome provides the opportunity to annotate the pig immunome, and compare and contrast pig and human immune systems. RESULTS The Immune Response Annotation Group (IRAG) used computational curation and manual annotation of the swine genome assembly 10.2 (Sscrofa10.2) to refine the currently available automated annotation of 1,369 immunity-related genes through sequence-based comparison to genes in other species. Within these genes, we annotated 3,472 transcripts. Annotation provided evidence for gene expansions in several immune response families, and identified artiodactyl-specific expansions in the cathelicidin and type 1 Interferon families. We found gene duplications for 18 genes, including 13 immune response genes and five non-immune response genes discovered in the annotation process. Manual annotation provided evidence for many new alternative splice variants and 8 gene duplications. Over 1,100 transcripts without porcine sequence evidence were detected using cross-species annotation. We used a functional approach to discover and accurately annotate porcine immune response genes. A co-expression clustering analysis of transcriptomic data from selected experimental infections or immune stimulations of blood, macrophages or lymph nodes identified a large cluster of genes that exhibited a correlated positive response upon infection across multiple pathogens or immune stimuli. Interestingly, this gene cluster (cluster 4) is enriched for known general human immune response genes, yet contains many un-annotated porcine genes. A phylogenetic analysis of the encoded proteins of cluster 4 genes showed that 15% exhibited an accelerated evolution as compared to 4.1% across the entire genome. CONCLUSIONS This extensive annotation dramatically extends the genome-based knowledge of the molecular genetics and structure of a major portion of the porcine immunome. Our complementary functional approach using co-expression during immune response has provided new putative immune response annotation for over 500 porcine genes. Our phylogenetic analysis of this core immunome cluster confirms rapid evolutionary change in this set of genes, and that, as in other species, such genes are important components of the pig's adaptation to pathogen challenge over evolutionary time. These comprehensive and integrated analyses increase the value of the porcine genome sequence and provide important tools for global analyses and data-mining of the porcine immune response.
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Affiliation(s)
- Harry D Dawson
- USDA-ARS, Beltsville Human Nutrition Research Center, Diet, Genomics, and Immunology Laboratory, Beltsville, MD 20705, USA
| | - Jane E Loveland
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Géraldine Pascal
- INRA, UMR85 Physiologie de la Reproduction et des Comportements, F-37380, Nouzilly, France
| | - James GR Gilbert
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Hirohide Uenishi
- National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Katherine M Mann
- USDA ARS BA Animal Parasitic Diseases Laboratory, Beltsville, MD 20705, USA
| | - Yongming Sang
- Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA
| | - Jie Zhang
- Laboratory of Animal Genetics, Breeding, and Reproduction, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Denise Carvalho-Silva
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK,Current affiliation: EMBL Outstation-Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambs CB10 1SD, UK
| | - Toby Hunt
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Matthew Hardy
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Zhiliang Hu
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Shu-Hong Zhao
- Laboratory of Animal Genetics, Breeding, and Reproduction, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Anna Anselmo
- Parco Tecnologico Padano, Integrative Biology Unit, via A. Einstein, 26900, Lodi, Italy
| | - Hiroki Shinkai
- National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Celine Chen
- USDA-ARS, Beltsville Human Nutrition Research Center, Diet, Genomics, and Immunology Laboratory, Beltsville, MD 20705, USA
| | - Bouabid Badaoui
- Parco Tecnologico Padano, Integrative Biology Unit, via A. Einstein, 26900, Lodi, Italy
| | - Daniel Berman
- USDA ARS BA Animal Parasitic Diseases Laboratory, Beltsville, MD 20705, USA
| | - Clara Amid
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK,Current affiliation: EMBL Outstation-Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambs CB10 1SD, UK
| | - Mike Kay
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - David Lloyd
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Catherine Snow
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Takeya Morozumi
- Institute of Japan Association for Technology in Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan
| | - Ryan Pei-Yen Cheng
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Megan Bystrom
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Ronan Kapetanovic
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - John C Schwartz
- Department of Veterinary and Biomedical Sciences, University of Minnesota, 1971 Commonwealth Avenue, St. Paul, MN 55108, USA
| | - Ranjit Kataria
- National Bureau of Animal Genetic Resources, P.B. 129, GT Road By-Pass, Karnal 132001, (Haryana), India
| | - Matthew Astley
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Eric Fritz
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Charles Steward
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Mark Thomas
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Laurens Wilming
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Daisuke Toki
- Institute of Japan Association for Technology in Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan
| | - Alan L Archibald
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Bertrand Bed’Hom
- INRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France
| | - Dario Beraldi
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Ting-Hua Huang
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Tahar Ait-Ali
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Frank Blecha
- Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA
| | - Sara Botti
- Parco Tecnologico Padano, Integrative Biology Unit, via A. Einstein, 26900, Lodi, Italy
| | - Tom C Freeman
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Elisabetta Giuffra
- Parco Tecnologico Padano, Integrative Biology Unit, via A. Einstein, 26900, Lodi, Italy,INRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France
| | - David A Hume
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Joan K Lunney
- USDA ARS BA Animal Parasitic Diseases Laboratory, Beltsville, MD 20705, USA
| | - Michael P Murtaugh
- Department of Veterinary and Biomedical Sciences, University of Minnesota, 1971 Commonwealth Avenue, St. Paul, MN 55108, USA
| | - James M Reecy
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
| | - Jennifer L Harrow
- Informatics Department, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK
| | - Claire Rogel-Gaillard
- INRA, UMR1313 Génétique Animale et Biologie Intégrative, F-78350, Jouy-en-Josas, France
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Wang B, Ekblom R, Castoe TA, Jones EP, Kozma R, Bongcam-Rudloff E, Pollock DD, Höglund J. Transcriptome sequencing of black grouse (Tetrao tetrix) for immune gene discovery and microsatellite development. Open Biol 2012; 2:120054. [PMID: 22724064 PMCID: PMC3376728 DOI: 10.1098/rsob.120054] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2012] [Accepted: 04/03/2012] [Indexed: 11/12/2022] Open
Abstract
The black grouse (Tetrao tetrix) is a galliform bird species that is important for both ecological studies and conservation genetics. Here, we report the sequencing of the spleen transcriptome of black grouse using 454 GS FLX Titanium sequencing. We performed a large-scale gene discovery analysis with a focus on genes that might be related to fitness in this species and also identified a large set of microsatellites. In total, we obtained 182 179 quality-filtered sequencing reads that we assembled into 9035 contigs. Using these contigs and 15 794 length-filtered (greater than 200 bp) singletons, we identified 7762 transcripts that appear to be homologues of chicken genes. A specific BLAST search with an emphasis on immune genes found 308 homologous chicken genes that have immune function, including ten major histocompatibility complex-related genes located on chicken chromosome 16. We also identified 1300 expressed sequence tag microsatellites and were able to design suitable flanking primers for 526 of these. A preliminary test of the polymorphism of the microsatellites found 10 polymorphic microsatellites of the 102 tested. Genomic resources generated in this study should greatly benefit future ecological, evolutionary and conservation genetic studies on this species.
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Affiliation(s)
- Biao Wang
- Population Biology and Conservation Biology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, 75236 Uppsala, Sweden.
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Bollmer JL, Ruder EA, Johnson JA, Eimes JA, Dunn PO. Drift and selection influence geographic variation at immune loci of prairie-chickens. Mol Ecol 2011; 20:4695-706. [PMID: 22008237 DOI: 10.1111/j.1365-294x.2011.05319.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Previous studies of immunity in wild populations have focused primarily on genes of the major histocompatibility complex (MHC); however, studies of model species have identified additional immune-related genes that also affect fitness. In this study, we sequenced five non-MHC immune genes in six greater prairie-chicken (Tympanuchus cupido) populations that have experienced varying degrees of genetic drift as a consequence of population bottlenecks and fragmentation. We compared patterns of geographic variation at the immune genes with six neutral microsatellite markers to investigate the relative effects of selection and genetic drift. Global F(ST) outlier tests identified positive selection on just one of five immune genes (IAP-1) in one population. In contrast, at other immune genes, standardized G'(ST) values were lower than those at microsatellites for a majority of pairwise population comparisons, consistent with balancing selection or with species-wide positive or purifying selection resulting in similar haplotype frequencies across populations. The effects of genetic drift were also evident as summary statistics (e.g., Tajima's D) did not differ from neutrality for the majority of cases, and immune gene diversity (number of haplotypes per gene) was correlated positively with population size. In summary, we found that both genetic drift and selection shaped variation at the five immune genes, and the strength and type of selection varied among genes. Our results caution that neutral forces, such as drift, can make it difficult to detect current selection on genes.
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Affiliation(s)
- Jennifer L Bollmer
- Department of Biological Sciences, University of Wisconsin-Milwaukee, P.O. Box 413, Milwaukee, WI 53201, USA.
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