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Yi X, Kemppainen P, Reid K, Chen Y, Rastas P, Fraimout A, Merilä J. Heterogeneous genomic architecture of skeletal armour traits in sticklebacks. J Evol Biol 2024; 37:995-1008. [PMID: 39073424 DOI: 10.1093/jeb/voae083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/28/2024] [Accepted: 07/27/2024] [Indexed: 07/30/2024]
Abstract
Whether populations adapt to similar selection pressures using the same underlying genetic variants depends on population history and the distribution of standing genetic variation at the metapopulation level. Studies of sticklebacks provide a case in point: when colonizing and adapting to freshwater habitats, three-spined sticklebacks (Gasterosteus aculeatus) with high gene flow tend to fix the same adaptive alleles in the same major loci, whereas nine-spined sticklebacks (Pungitius pungitius) with limited gene flow tend to utilize a more heterogeneous set of loci. In accordance with this, we report results of quantitative trait locus (QTL) analyses using a backcross design showing that lateral plate number variation in the western European nine-spined sticklebacks mapped to 3 moderate-effect QTL, contrary to the major-effect QTL in three-spined sticklebacks and different from the 4 QTL previously identified in the eastern European nine-spined sticklebacks. Furthermore, several QTL were identified associated with variation in lateral plate size, and 3 moderate-effect QTL with body size. Together, these findings indicate more heterogenous and polygenic genetic underpinnings of skeletal armour variation in nine-spined than three-spined sticklebacks, indicating limited genetic parallelism underlying armour trait evolution in the family Gasterostidae.
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Affiliation(s)
- Xueling Yi
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Petri Kemppainen
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
| | - Kerry Reid
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Ying Chen
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
| | - Pasi Rastas
- Institute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Antoine Fraimout
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong, Hong Kong SAR
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
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2
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Fraimout A, Guillaume F, Li Z, Sillanpää MJ, Rastas P, Merilä J. Dissecting the genetic architecture of quantitative traits using genome-wide identity-by-descent sharing. Mol Ecol 2024; 33:e17299. [PMID: 38380534 DOI: 10.1111/mec.17299] [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: 07/28/2023] [Revised: 01/08/2024] [Accepted: 01/22/2024] [Indexed: 02/22/2024]
Abstract
Additive and dominance genetic variances underlying the expression of quantitative traits are important quantities for predicting short-term responses to selection, but they are notoriously challenging to estimate in most non-model wild populations. Specifically, large-sized or panmictic populations may be characterized by low variance in genetic relatedness among individuals which, in turn, can prevent accurate estimation of quantitative genetic parameters. We used estimates of genome-wide identity-by-descent (IBD) sharing from autosomal SNP loci to estimate quantitative genetic parameters for ecologically important traits in nine-spined sticklebacks (Pungitius pungitius) from a large, outbred population. Using empirical and simulated datasets, with varying sample sizes and pedigree complexity, we assessed the performance of different crossing schemes in estimating additive genetic variance and heritability for all traits. We found that low variance in relatedness characteristic of wild outbred populations with high migration rate can impair the estimation of quantitative genetic parameters and bias heritability estimates downwards. On the other hand, the use of a half-sib/full-sib design allowed precise estimation of genetic variance components and revealed significant additive variance and heritability for all measured traits, with negligible dominance contributions. Genome-partitioning and QTL mapping analyses revealed that most traits had a polygenic basis and were controlled by genes at multiple chromosomes. Furthermore, different QTL contributed to variation in the same traits in different populations suggesting heterogeneous underpinnings of parallel evolution at the phenotypic level. Our results provide important guidelines for future studies aimed at estimating adaptive potential in the wild, particularly for those conducted in outbred large-sized populations.
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Affiliation(s)
- Antoine Fraimout
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Frédéric Guillaume
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Zitong Li
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Mikko J Sillanpää
- Research Unit of Mathematical Sciences, FI-90014 University of Oulu, Oulu, Finland
| | - Pasi Rastas
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, FI-00014 University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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3
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Wilson IW, Moncuquet P, Yuan Y, Soliveres M, Li Z, Stiller W, Zhu QH. Genetic Mapping and Characterization of Verticillium Wilt Resistance in a Recombinant Inbred Population of Upland Cotton. Int J Mol Sci 2024; 25:2439. [PMID: 38397116 PMCID: PMC10889826 DOI: 10.3390/ijms25042439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Verticillium wilt (VW) is an important and widespread disease of cotton and once established is long-lived and difficult to manage. In Australia, the non-defoliating pathotype of Verticillium dahliae is the most common, and extremely virulent. Breeding cotton varieties with increased VW resistance is the most economical and effective method of controlling this disease and is greatly aided by understanding the genetics of resistance. This study aimed to investigate VW resistance in 240 F7 recombinant inbred lines (RIL) derived from a cross between MCU-5, which has good resistance, and Siokra 1-4, which is susceptible. Using a controlled environment bioassay, we found that resistance based on plant survival or shoot biomass was complex but with major contributions from chromosomes D03 and D09, with genomic prediction analysis estimating a prediction accuracy of 0.73 based on survival scores compared to 0.36 for shoot biomass. Transcriptome analysis of MCU-5 and Siokra 1-4 roots uninfected or infected with V. dahliae revealed that the two cultivars displayed very different root transcriptomes and responded differently to V. dahliae infection. Ninety-nine differentially expressed genes were located in the two mapped resistance regions and so are potential candidates for further identifying the genes responsible for VW resistance.
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Affiliation(s)
- Iain W. Wilson
- CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2061, Australia
| | | | - Yuman Yuan
- CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2061, Australia
| | - Melanie Soliveres
- CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2061, Australia
| | - Zitong Li
- CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2061, Australia
| | - Warwick Stiller
- CSIRO Agriculture and Food, Locked Bag 59, Narrabri, NSW 2390, Australia
| | - Qian-Hao Zhu
- CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2061, Australia
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4
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Kemppainen P, Li Z, Rastas P, Löytynoja A, Fang B, Yang J, Guo B, Shikano T, Merilä J. Genetic population structure constrains local adaptation in sticklebacks. Mol Ecol 2021; 30:1946-1961. [PMID: 33464655 DOI: 10.1111/mec.15808] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/19/2020] [Accepted: 01/08/2021] [Indexed: 12/20/2022]
Abstract
Repeated and independent adaptation to specific environmental conditions from standing genetic variation is common. However, if genetic variation is limited, the evolution of similar locally adapted traits may be restricted to genetically different and potentially less optimal solutions or prevented from happening altogether. Using a quantitative trait locus (QTL) mapping approach, we identified the genomic regions responsible for the repeated pelvic reduction (PR) in three crosses between nine-spined stickleback populations expressing full and reduced pelvic structures. In one cross, PR mapped to linkage group 7 (LG7) containing the gene Pitx1, known to control pelvic reduction also in the three-spined stickleback. In the two other crosses, PR was polygenic and attributed to 10 novel QTL, of which 90% were unique to specific crosses. When screening the genomes from 27 different populations for deletions in the Pitx1 regulatory element, these were only found in the population in which PR mapped to LG7, even though the morphological data indicated large-effect QTL for PR in several other populations as well. Consistent with the available theory and simulations parameterized on empirical data, we hypothesize that the observed variability in genetic architecture of PR is due to heterogeneity in the spatial distribution of standing genetic variation caused by >2× stronger population structuring among freshwater populations and >10× stronger genetic isolation by distance in the sea in nine-spined sticklebacks as compared to three-spined sticklebacks.
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Affiliation(s)
- Petri Kemppainen
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Zitong Li
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,CSIRO Agriculture & Food, Canberra, ACT, Australia
| | - Pasi Rastas
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Ari Löytynoja
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Bohao Fang
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Jing Yang
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Chinese Sturgeon Research Institute, Three Gorges Corporation, Yichang, China
| | - Baocheng Guo
- The Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Takahito Shikano
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Division of Ecology and Biodiversity, The University of Hong Kong, Pokfulam, Hong Kong, SAR
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5
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Jiang S, Zhang H, Ni P, Yu S, Dong H, Zhang A, Cao H, Zhang L, Ruan Y, Cui Z. Genome-Wide Association Study Dissects the Genetic Architecture of Maize Husk Tightness. FRONTIERS IN PLANT SCIENCE 2020; 11:861. [PMID: 32695127 PMCID: PMC7338587 DOI: 10.3389/fpls.2020.00861] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/27/2020] [Indexed: 06/01/2023]
Abstract
The husk is a leafy outer tissue that encloses a maize ear. Previously, we identified the optimum husk structure by measuring the husk length, husk layer number, husk thickness and husk width. Husk tightness (HTI) is a combined trait based on the above four husk measurements. Unveiling the genetic basis of HTI will aid in guiding the genetic improvement of maize for mechanical harvesting and for protecting the ear from pest damage and pathogen infection. Here, we used a maize associate population of 508 inbred lines with tropical, subtropical and temperate backgrounds to analyze the genetic architecture of HTI. Evaluating the phenotypic diversity in three different environments showed that HTI exhibited broad natural variations and a moderate heritability level of 0.41. A diversity analysis indicated that the inbred lines having a temperate background were more loosely related than those having a tropical or subtropical background. HTI showed significant negative correlations with husk thickness and width, which indicates that thicker and wider husks wrapped the ear tighter than thinner and slimmer husks. Combining husk traits with ∼1.25 million single nucleotide polymorphisms in a genome-wide association study revealed 27 variants that were significantly associated with HTI above the threshold of P < 7.26 × 10-6. We found 27 candidate genes for HTI that may participate in (1) husk senescence involving lipid peroxidation (GRMZM2G017616) and programmed cell death (GRMZM2G168898 and GRMZM2G035045); (2) husk morphogenesis involving cell division (GRMZM5G869246) and cell wall architecture (GRMZM2G319798); and (3) cell signal transduction involving protein phosphorylation (GRMZM2G149277 and GRMZM2G004207) and the ABSISIC ACID INSENSITIVE3/VIVIPAROUS1 transcription factor (GRMZM2G088427). These results provide useful information for understanding the genetic basis of husk development. Further studies of identified candidate genes will help elucidate the molecular pathways that regulate HTI in maize.
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Affiliation(s)
- Siqi Jiang
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Haibo Zhang
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Pengzun Ni
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Shuai Yu
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Haixiao Dong
- College of Plant Sciences, Jilin University, Changchun, China
| | - Ao Zhang
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Huiying Cao
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Lijun Zhang
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Yanye Ruan
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
| | - Zhenhai Cui
- College of Bioscience and Biotechnology, Shenyang Agricultural University, henyang, China
- Shenyang Key Laboratory of Maize Genomic Selection Breeding, Shenyang, China
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6
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Abstract
Quantitative trait loci (QTL) are genetic regions that influence phenotypic variation of a complex trait, often through genetic interactions with each other and the environment. These are commonly identified through a statistical genetic analysis known as QTL mapping. Here, I present a step-by-step, practical approach to QTL mapping along with a sample data file. I focus on methods commonly used and discoveries that have been made in fishes, and utilize a multiple QTL mapping (MQM) approach in the free software package R/qtl.
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Affiliation(s)
- Kara E Powder
- Department of Biological Sciences, Clemson University, Clemson, SC, USA.
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7
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Herczeg G, Urszán TJ, Orf S, Nagy G, Kotrschal A, Kolm N. Yes, correct context is indeed the key: An answer to Haave-Audet et al. 2019. J Evol Biol 2019; 32:1450-1455. [PMID: 31604005 DOI: 10.1111/jeb.13548] [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: 10/04/2019] [Accepted: 10/07/2019] [Indexed: 11/26/2022]
Abstract
We published a study recently testing the link between brain size and behavioural plasticity using brain size selected guppy (Poecilia reticulata) lines (2019, Journal of Evolutionary Biology, 32, 218-226). Only large-brained fish showed habituation to a new, but actually harmless environment perceived as risky, by increasing movement activity over the 20-day observation period. We concluded that "Our results suggest that brain size likely explains some of the variation in behavioural plasticity found at the intraspecific level". In a commentary published in the same journal, Haave-Audet et al. challenged the main message of our study, stating that (a) relative brain size is not a suitable proxy for cognitive ability and (b) habituation measured by us is likely not adaptive and costly. In our response, we first show that a decade's work has proven repeatedly that relative brain size is indeed positively linked to cognitive performance in our model system. Second, we discuss how switching from stressed to unstressed behaviour in stressful situations without real risk is likely adaptive. Finally, we point out that the main cost of behavioural plasticity in our case is the development and maintenance of the neural system needed for information processing, and not the expression of plasticity. We hope that our discussion with Haave-Audet et al. helps clarifying some central issues in this emerging research field.
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Affiliation(s)
- Gábor Herczeg
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Budapest, Hungary
| | - Tamás János Urszán
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Budapest, Hungary
| | - Stephanie Orf
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Budapest, Hungary
| | - Gergely Nagy
- Behavioural Ecology Group, Department of Systematic Zoology and Ecology, Eötvös Loránd University, Budapest, Hungary
| | | | - Niclas Kolm
- Department of Zoology, Stockholm University, Stockholm, Sweden
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8
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Slate J. Robust inference of genetic architecture in mapping studies. Mol Ecol 2019; 26:1453-1455. [PMID: 28299864 DOI: 10.1111/mec.14052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Accepted: 01/13/2017] [Indexed: 11/30/2022]
Abstract
The genetic architecture of a trait usually refers to the number and magnitude of loci that explain phenotypic variation. A description of genetic architecture can help us to understand how genetic variation is maintained, how traits have evolved and how phenotypes might respond to selection. However, linkage mapping and association studies can suffer from problems of bias, especially when conducted in natural populations where the opportunity to perform studies with very large sample sizes can be limited. In this issue of Molecular Ecology, Li and colleagues perform an association study of brain traits in ninespine sticklebacks Pungitius pungitius. They use a sophisticated approach that models all of the genotyped markers simultaneously; conventional approaches fit each marker individually. Although the single-marker and multi-marker approaches find similar regions of the genome that explain phenotypic variation, the overall conclusions about trait architecture are somewhat different, depending on the approach used. Single-marker methods identify regions that explain quite large proportions of genetic variation, whereas the multi-marker approach suggests the traits are far more polygenic. Simulations suggest the multi-marker approach is robust. This study highlights how molecular quantitative genetics in wild populations can be used to address hypothesis-driven questions, without making unrealistic assumptions about effect sizes of individual quantitative trait loci.
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Affiliation(s)
- Jon Slate
- Department of Animal & Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UK
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9
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Calleja-Rodriguez A, Li Z, Hallingbäck HR, Sillanpää MJ, Wu HX, Abrahamsson S, García-Gil MR. Analysis of phenotypic- and Estimated Breeding Values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design. J Theor Biol 2019; 462:283-292. [PMID: 30423305 DOI: 10.1016/j.jtbi.2018.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/17/2018] [Accepted: 11/09/2018] [Indexed: 11/28/2022]
Abstract
In forest tree breeding, family-based Quantitative Trait Loci (QTL) studies are valuable as methods to dissect the complexity of a trait and as a source of candidate genes. In the field of conifer research, our study contributes to the evaluation of phenotypic and predicted breeding values for the identification of QTL linked to complex traits in a three-generation pedigree population in Scots pine (Pinus sylvestris L.). A total of 11 470 open pollinated F2-progeny trees established at three different locations, were measured for growth and adaptive traits. Breeding values were predicted for their 360 mothers, originating from a single cross of two grand-parents. A multilevel LASSO association analysis was conducted to detect QTL using genotypes of the mothers with the corresponding phenotypes and Estimated Breeding Values (EBV). Different levels of genotype-by-environment (G × E) effects among sites at different years, were detected for survival and height. Moderate-to-low narrow sense heritabilities and EBV accuracies were found for all traits and all sites. We identified 18 AFLPs and 12 SNPs to be associated with QTL for one or more traits. 62 QTL were significant with percentages of variance explained ranging from 1.7 to 18.9%. In those cases where the same marker was associated to a phenotypic or an ebvQTL, the ebvQTL always explained higher proportion of the variance, maybe due to the more accurate nature of Estimated Breeding Values (EBV). Two SNP-QTL showed pleiotropic effects for traits related with hardiness, seed, cone and flower production. Furthermore, we detected several QTL with significant effects across multiple ages, which could be considered as strong candidate loci for early selection. The lack of reproducibility of some QTL detected across sites may be due to environmental heterogeneity reflected by the genotype- and QTL-by-environment effects.
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Affiliation(s)
- Ainhoa Calleja-Rodriguez
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Skogforsk, Box 3, Sävar SE-91821, Sweden
| | - Zitong Li
- Melbourne Integrative Genomics and School of Mathematics and Statistics, the University of Melbourne, Parkville, Victoria 3010, Australia; Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki FI-00014, Finland
| | - Henrik R Hallingbäck
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Science, Uppsala SE-75007, Sweden
| | - Mikko J Sillanpää
- Department of Mathematical Sciences and Biocenter Oulu, University of Oulu, Oulu FI-90014, Finland
| | - Harry X Wu
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden
| | | | - Maria Rosario García-Gil
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden.
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10
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Li Z, Kemppainen P, Rastas P, Merilä J. Linkage disequilibrium clustering‐based approach for association mapping with tightly linked genomewide data. Mol Ecol Resour 2018; 18:809-824. [DOI: 10.1111/1755-0998.12893] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 04/05/2018] [Accepted: 04/06/2018] [Indexed: 02/05/2023]
Affiliation(s)
- Zitong Li
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Petri Kemppainen
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Pasi Rastas
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Juha Merilä
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
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11
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Lucas LK, Nice CC, Gompert Z. Genetic constraints on wing pattern variation in
Lycaeides
butterflies: A case study on mapping complex, multifaceted traits in structured populations. Mol Ecol Resour 2018. [DOI: 10.1111/1755-0998.12777] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | - Chris C. Nice
- Department of Biology Texas State University San Marcos TX USA
| | - Zachariah Gompert
- Department of Biology Utah State University Logan UT USA
- Ecology Center Utah State University Logan UT USA
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12
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Angyal D, Balázs G, Krízsik V, Herczeg G, Fehér Z. Molecular and morphological divergence in a stygobiont gastropod lineage (Truncatelloidea, Moitessieriidae, Paladilhiopsis
) within an isolated karstic area in the Mecsek Mountains (Hungary). J ZOOL SYST EVOL RES 2018. [DOI: 10.1111/jzs.12220] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Dorottya Angyal
- Department of Zoology; Hungarian Natural History Museum; Budapest Hungary
| | - Gergely Balázs
- Department of Systematic Zoology and Ecology; Eötvös Loránd University; Budapest Hungary
| | - Virág Krízsik
- Laboratory of Molecular Taxonomy; Hungarian Natural History Museum; Budapest Hungary
| | - Gábor Herczeg
- Department of Systematic Zoology and Ecology; Eötvös Loránd University; Budapest Hungary
| | - Zoltán Fehér
- Department of Zoology; Hungarian Natural History Museum; Budapest Hungary
- Central Research Laboratories; Zoology Department; Natural History Museum; Vienna Austria
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13
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Zhao CL, Jin L, Zhong MJ, Xie F, Jiang JP, Li DY, Liao WB. Cerebellum size is positively correlated with geographic distribution range in anurans. ANIM BIOL 2018. [DOI: 10.1163/15707563-17000121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Abstract
The ‘cognitive buffer’ hypothesis predicts that the costs of relatively large brains are compensated for later in life by the increased benefits of large brains providing a higher chance of survival under changing environments through flexible behaviors in the animal kingdom. Thus, animals that live in a larger range (with a higher probability of environmental variation) are expected to have larger brains than those that live in a restricted geographic range. Here, to test the prediction of the ‘cognitive buffer’ hypothesis that larger brains should be expected to occur in species living in geographic ranges of larger size, we analyzed the relationship between the size of the geographic range and brain size and the size of various brain regions among 42 species of anurans using phylogenetic comparative methods. The results show that there is no correlation between relative brain size and size of the species’ geographic range when correcting for phylogenetic effects and body size. Our findings suggest that the effects of the cognitive buffer and the energetic constraints on brains result in non-significant variation in overall brain size. However, the geographic range is positively correlated with cerebellum size, but not with optic tecta, suggesting that species distributed in a wider geographic range do not exhibit larger optic tecta which would provide behavioral flexibility to allow for an early escape from potential predators and discovery of new food resources in unpredictable environments.
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Affiliation(s)
- Chun Lin Zhao
- 1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
| | - Long Jin
- 1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
| | - Mao Jun Zhong
- 1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
| | - Feng Xie
- 2Chengdu Institute Biology, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China
| | - Jian Ping Jiang
- 2Chengdu Institute Biology, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China
| | - Da Yong Li
- 1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
- 3Institute of Rare Animals and Plants, China West Normal University, Nanchong 637009, Sichuan, China
| | - Wen Bo Liao
- 1Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong 637009, Sichuan, China
- 3Institute of Rare Animals and Plants, China West Normal University, Nanchong 637009, Sichuan, China
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14
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Owens GL, Todesco M, Drummond EBM, Yeaman S, Rieseberg LH. A novel post hoc method for detecting index switching finds no evidence for increased switching on the Illumina HiSeq X. Mol Ecol Resour 2017; 18:169-175. [DOI: 10.1111/1755-0998.12713] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 08/04/2017] [Accepted: 08/08/2017] [Indexed: 11/26/2022]
Affiliation(s)
- Gregory L. Owens
- Department of Botany and Beaty Biodiversity Centre; University of British Columbia; Vancouver BC Canada
| | - Marco Todesco
- Department of Botany and Beaty Biodiversity Centre; University of British Columbia; Vancouver BC Canada
| | - Emily B. M. Drummond
- Department of Botany and Beaty Biodiversity Centre; University of British Columbia; Vancouver BC Canada
| | - Sam Yeaman
- Department of Biological Sciences; University of Calgary; Calgary AB Canada
| | - Loren H. Rieseberg
- Department of Botany and Beaty Biodiversity Centre; University of British Columbia; Vancouver BC Canada
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