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Arbanasić H, Medrano-González L, Hrenar T, Mikelić A, Gomerčić T, Svetličić I, Pavlinec Ž, Đuras M, Galov A. Recent selection created distinctive variability patterns on MHC class II loci in three dolphin species from the Mediterranean Sea. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2024; 150:105079. [PMID: 37832898 DOI: 10.1016/j.dci.2023.105079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023]
Abstract
The major histocompatibility complex (MHC) includes highly polymorphic genes involved in antigen presentation, which is crucial for adaptive immune response. They represent fitness related genetic markers particularly informative for populations exposed to environmental challenges. Here we analyse the diversity and evolutionary traits of MHC class II DQA and DQB genes in the dolphins Stenella coeruleoalba and Grampus griseus from the Mediterranean Sea. We found substantial nucleotide and functional diversity, as well as strong evidence of balancing selection indicated by allele and supertype frequencies, Tajima's D statistics and dN/dS tests. The Risso's dolphin, considered the least abundant in the region, showed the effect of divergent allele advantage at the nucleotide and functional-peptide levels. An outstanding polymorphism was found in the striped dolphin, particularly intriguing in the DQA gene where the Ewens-Watterson test detected a selection sweep that occurred in recent history. We hypothesize that morbillivirus, which has recurrently invaded Mediterranean populations over the last decades, exerted the detected selective pressure.
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Affiliation(s)
- Haidi Arbanasić
- Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000, Zagreb, Croatia.
| | - Luis Medrano-González
- Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, 04510, Mexico.
| | - Tomica Hrenar
- Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000, Zagreb, Croatia.
| | - Ana Mikelić
- Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000, Zagreb, Croatia.
| | - Tomislav Gomerčić
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000, Zagreb, Croatia.
| | - Ida Svetličić
- Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000, Zagreb, Croatia.
| | - Željko Pavlinec
- Croatian Academy of Sciences and Arts, Trg Nikole Šubića Zrinskog 11, 10000, Zagreb, Croatia.
| | - Martina Đuras
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000, Zagreb, Croatia.
| | - Ana Galov
- Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000, Zagreb, Croatia.
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Performance Comparison of Different Approaches in Genotyping MHC-DRB: The Contrast between Single-Locus and Multi-Locus Species. Animals (Basel) 2022; 12:ani12182452. [PMID: 36139311 PMCID: PMC9495155 DOI: 10.3390/ani12182452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Major histocompatibility complex (MHC) genes are widely recognised as valuable markers for wildlife genetic studies given their extreme polymorphism and functional importance in fitness-related traits. Newly developed genotyping methods, which rely on the use of next-generation sequencing (NGS), are gradually replacing traditional cloning and Sanger sequencing methods in MHC genotyping studies. Allele calling in NGS methods remains challenging due to extreme polymorphism and locus multiplication in the MHC coupled with allele amplification bias and the generation of artificial sequences. In this study, we compared the performance of molecular cloning with Illumina and Ion Torrent NGS sequencing in MHC-DRB genotyping of single-locus species (roe deer) and species with multiple DRB loci (red deer) in an attempt to adopt a reliable and straightforward method that does not require complex bioinformatic analyses. Our results show that all methods work similarly well in roe deer, but we demonstrate non-consistency in results across methods in red deer. With Illumina sequencing, we detected a maximum number of alleles in 10 red deer individuals (42), while other methods were somewhat less accurate as they scored 69–81% of alleles detected with Illumina sequencing.
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Buzan E, Potušek S, Duniš L, Pokorny B. Neutral and Selective Processes Shape MHC Diversity in Roe Deer in Slovenia. Animals (Basel) 2022; 12:ani12060723. [PMID: 35327121 PMCID: PMC8944837 DOI: 10.3390/ani12060723] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/23/2022] [Accepted: 03/10/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Disease prevention and appropriate wildlife management are among the major challenges in wildlife conservation. In the present study, we made a first assessment of the variability of major histocompatibility complex (MHC) genes in roe deer in Slovenia and evaluated local population adaptation by comparing MHC variability with neutral microsatellites. We discovered three new MHC DRB exon 2 alleles in addition to seven previously described in the literature. Moreover, we found evidence of historical positive selection, as selection analysis indicated that approx. 10% of the encoded amino acids were subjected to episodic positive selection. This study provides the basis for further research on immunogenetic variation in roe deer and highlights opportunities to incorporate genetic data into science-based population management. Abstract Disease control and containment in free-ranging populations is one of the greatest challenges in wildlife management. Despite the importance of major histocompatibility complex (MHC) genes for immune response, an assessment of the diversity and occurrence of these genes is still rare in European roe deer, the most abundant and widespread large mammal in Europe. Therefore, we examined immunogenetic variation in roe deer in Slovenia to identify species adaptation by comparing the genetic diversity of the MHC genes with the data on neutral microsatellites. We found ten MHC DRB alleles, three of which are novel. Evidence for historical positive selection on the MHC was found using the maximum likelihood codon method. Patterns of MHC allelic distribution were not congruent with neutral population genetic findings. The lack of population genetic differentiation in MHC genes compared to existing structure in neutral markers suggests that MHC polymorphism was influenced primarily by balancing selection and, to a lesser extent, by neutral processes such as genetic drift, with no clear evidence of local adaptation. Selection analyses indicated that approx. 10% of amino acids encoded under episodic positive selection. This study represents one of the first steps towards establishing an immunogenetic map of roe deer populations across Europe, aiming to better support science-based management of this important game species.
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Affiliation(s)
- Elena Buzan
- Faculty of Mathematics, Natural Sciences, and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia; (S.P.); (L.D.)
- Environmental Protection College, Trg Mladosti 7, 3320 Velenje, Slovenia;
- Correspondence: ; Tel.: +38-65-6117570; Fax: +38-65-61175
| | - Sandra Potušek
- Faculty of Mathematics, Natural Sciences, and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia; (S.P.); (L.D.)
| | - Luka Duniš
- Faculty of Mathematics, Natural Sciences, and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia; (S.P.); (L.D.)
| | - Boštjan Pokorny
- Environmental Protection College, Trg Mladosti 7, 3320 Velenje, Slovenia;
- Slovenian Forestry Institute, Večna pot 2, 1000 Ljubljana, Slovenia
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A comparative analysis of SLA-DRB1 genetic diversity in Colombian (creoles and commercial line) and worldwide swine populations. Sci Rep 2021; 11:4340. [PMID: 33619347 PMCID: PMC7900169 DOI: 10.1038/s41598-021-83637-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 01/18/2021] [Indexed: 12/30/2022] Open
Abstract
Analysing pig class II mayor histocompatibility complex (MHC) molecules is mainly related to antigen presentation. Identifying frequently-occurring alleles in pig populations is an important aspect to be considered when developing peptide-based vaccines. Colombian creole pig populations have had to adapt to local conditions since entering Colombia; a recent census has shown low amounts of pigs which is why they are considered protected by the Colombian government. Commercial hybrids are more attractive regarding production. This research has been aimed at describing the allele distribution of Colombian pigs from diverse genetic backgrounds and comparing Colombian SLA-DRB1 locus diversity to that of internationally reported populations. Twenty SLA-DRB1 alleles were identified in the six populations analysed here using sequence-based typing. The amount of alleles ranged from six (Manta and Casco Mula) to nine (San Pedreño). Only one allele (01:02) having > 5% frequency was shared by all three commercial line populations. Allele 02:01:01 was shared by five populations (around > 5% frequency). Global FST indicated that pig populations were clearly structured, as 20.6% of total allele frequency variation was explained by differences between populations (FST = 0.206). This study’s results confirmed that the greatest diversity occurred in wild boars, thereby contrasting with low diversity in domestic pig populations.
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E GX, Chen LP, Zhou DK, Yang BG, Zhang JH, Zhao YJ, Hong QH, Ma YH, Chu MX, Zhang LP, Basang WD, Zhu YB, Han YG, Na RS, Zeng Y, Zhao ZQ, Huang YF, Han JL. Evolutionary relationship and population structure of domestic Bovidae animals based on MHC-linked and neutral autosomal microsatellite markers. Mol Immunol 2020; 124:83-90. [PMID: 32544655 DOI: 10.1016/j.molimm.2020.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/21/2020] [Accepted: 05/07/2020] [Indexed: 11/26/2022]
Abstract
Major histocompatibility complex (MHC) genes are critical for disease resistance or susceptibility responsible for host-pathogen interactions determined mainly by extensive polymorphisms in the MHC genes. Here, we examined the diversity and phylogenetic pattern of MHC haplotypes reconstructed using three MHC-linked microsatellite markers in 55 populations of five Bovidae species and compared them with those based on neutral autosomal microsatellite markers (NAMs). Three-hundred-and-forty MHC haplotypes were identified in 1453 Bovidae individuals, suggesting significantly higher polymorphism and heterozygosity compared with those based on NAMs. The ambitious boundaries in population differentiation (phylogenetic network, pairwise FST and STRUCTURE analyses) within and between species assessed using the MHC haplotypes were different from those revealed by NAMs associated closely with speciation, geographical distribution, domestication and management histories. In addition, the mean FST was significantly correlated negatively with the number of observed alleles (NA), observed (HO) and expected (HE) heterozygosity and polymorphism information content (PIC) (P < 0.05) in the MHC haplotype dataset while there was no correction of the mean FST estimates (P> 0.05) between the MHC haplotype and NAMs datasets. Analysis of molecular variance (AMOVA) revealed a lower percentage of total variance (PTV) between species/groups based on the MHC-linked microsatellites than NAMs. Therefore, it was inferred that individuals within populations accumulated as many MHC variants as possible to increase their heterozygosity and thus the survival rate of their affiliated populations and species, which eventually reduced population differentiation and thereby complicated their classification and phylogenetic relationship inference. In summary, host-pathogen coevolution and heterozygote advantage, rather than demographic history, act as key driving forces shaping the MHC diversity within the populations and determining the interspecific MHC diversity.
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Affiliation(s)
- Guang-Xin E
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Li-Peng Chen
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Dong-Ke Zhou
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Bai-Gao Yang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Jia-Hua Zhang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Yong-Ju Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Qiong-Hua Hong
- Yunnan Animal Science and Veterinary Institute, Kunming 650224, China
| | - Yue-Hui Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Ming-Xing Chu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Lu-Pei Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Wang-Dui Basang
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement (Tibet Academy of Agricultural and Animal Husbandry Science (TAAAS)), Lhasa 850002, China
| | - Yan-Bin Zhu
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement (Tibet Academy of Agricultural and Animal Husbandry Science (TAAAS)), Lhasa 850002, China
| | - Yan-Guo Han
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Ri-Su Na
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Yan Zeng
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Zhong-Quan Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China
| | - Yong-Fu Huang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivores, Chongqing Engineering Research Centre for Herbivore Resource Protection and Utilization, Southwest University, Chongqing 400716, China.
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi 00100, Kenya.
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