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Uttam V, Vohra V, Chhotaray S, Santhosh A, Diwakar V, Patel V, Gahlyan RK. Exome-wide comparative analyses revealed differentiating genomic regions for performance traits in Indian native buffaloes. Anim Biotechnol 2024; 35:2277376. [PMID: 37934017 DOI: 10.1080/10495398.2023.2277376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
In India, 20 breeds of buffalo have been identified and registered, yet limited studies have been conducted to explore the performance potential of these breeds, especially in the Indian native breeds. This study is a maiden attempt to delineate the important variants and unique genes through exome sequencing for milk yield, milk composition, fertility, and adaptation traits in Indian local breeds of buffalo. In the present study, whole exome sequencing was performed on Chhattisgarhi (n = 3), Chilika (n = 4), Gojri (n = 3), and Murrah (n = 4) buffalo breeds and after stringent quality control, 4333, 6829, 4130, and 4854 InDels were revealed, respectively. Exome-wide FST along 100-kb sliding windows detected 27, 98, 38, and 35 outlier windows in Chhattisgarhi, Chilika, Gojri, and Murrah, respectively. The comparative exome analysis of InDels and subsequent gene ontology revealed unique breed specific genes for milk yield (CAMSAP3), milk composition (CLCN1, NUDT3), fertility (PTGER3) and adaptation (KCNA3, TH) traits. Study provides insight into mechanism of how these breeds have evolved under natural selection, the impact of these events on their respective genomes, and their importance in maintaining purity of these breeds for the traits under study. Additionally, this result will underwrite to the genetic acquaintance of these breeds for breeding application, and in understanding of evolution of these Indian local breeds.
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Affiliation(s)
- Vishakha Uttam
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Vikas Vohra
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Supriya Chhotaray
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Ameya Santhosh
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Vikas Diwakar
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Vaibhav Patel
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Rajesh Kumar Gahlyan
- Animal Genetics & Breeding Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
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2
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Martin FM, van der Heijden MGA. The mycorrhizal symbiosis: research frontiers in genomics, ecology, and agricultural application. New Phytol 2024; 242:1486-1506. [PMID: 38297461 DOI: 10.1111/nph.19541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/07/2023] [Indexed: 02/02/2024]
Abstract
Mycorrhizal symbioses between plants and fungi are vital for the soil structure, nutrient cycling, plant diversity, and ecosystem sustainability. More than 250 000 plant species are associated with mycorrhizal fungi. Recent advances in genomics and related approaches have revolutionized our understanding of the biology and ecology of mycorrhizal associations. The genomes of 250+ mycorrhizal fungi have been released and hundreds of genes that play pivotal roles in regulating symbiosis development and metabolism have been characterized. rDNA metabarcoding and metatranscriptomics provide novel insights into the ecological cues driving mycorrhizal communities and functions expressed by these associations, linking genes to ecological traits such as nutrient acquisition and soil organic matter decomposition. Here, we review genomic studies that have revealed genes involved in nutrient uptake and symbiosis development, and discuss adaptations that are fundamental to the evolution of mycorrhizal lifestyles. We also evaluated the ecosystem services provided by mycorrhizal networks and discuss how mycorrhizal symbioses hold promise for sustainable agriculture and forestry by enhancing nutrient acquisition and stress tolerance. Overall, unraveling the intricate dynamics of mycorrhizal symbioses is paramount for promoting ecological sustainability and addressing current pressing environmental concerns. This review ends with major frontiers for further research.
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Affiliation(s)
- Francis M Martin
- Université de Lorraine, INRAE, UMR IAM, Champenoux, 54280, France
- Institute of Applied Mycology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Marcel G A van der Heijden
- Department of Agroecology & Environment, Plant-Soil Interactions, Agroscope, Zürich, 8046, Switzerland
- Department of Plant and Microbial Biology, University of Zürich, Zürich, 8057, Switzerland
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3
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Jackson S, Freeman R, Noronha A, Jamil H, Chavez E, Carmichael J, Ruiz KM, Miller C, Benke S, Perrot R, Hockley M, Murphy K, Casillan A, Radanovich L, Deforest R, Nunes ME, Galarreta-Aima C, Sidlow R, Einhorn Y, Woods J. Applying data science methodologies with artificial intelligence variant reinterpretation to map and estimate genetic disorder prevalence utilizing clinical data. Am J Med Genet A 2024; 194:e63505. [PMID: 38168469 DOI: 10.1002/ajmg.a.63505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 01/05/2024]
Abstract
Data science methodologies can be utilized to ascertain and analyze clinical genetic data that is often unstructured and rarely used outside of patient encounters. Genetic variants from all genetic testing resulting to a large pediatric healthcare system for a 5-year period were obtained and reinterpreted utilizing the previously validated Franklin© Artificial Intelligence (AI). Using PowerBI©, the data were further matched to patients in the electronic healthcare record to associate with demographic data to generate a variant data table and mapped by ZIP codes. Three thousand and sixty-five variants were identified and 98% were matched to patients with geographic data. Franklin© changed the interpretation for 24% of variants. One hundred and fifty-six clinically actionable variant reinterpretations were made. A total of 739 Mendelian genetic disorders were identified with disorder prevalence estimation. Mapping of variants demonstrated hot-spots for pathogenic genetic variation such as PEX6-associated Zellweger Spectrum Disorder. Seven patients were identified with Bardet-Biedl syndrome and seven patients with Rett syndrome amenable to newly FDA-approved therapeutics. Utilizing readily available software we developed a database and Exploratory Data Analysis (EDA) methodology enabling us to systematically reinterpret variants, estimate variant prevalence, identify conditions amenable to new treatments, and localize geographies enriched for pathogenic variants.
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Affiliation(s)
| | - Rebecca Freeman
- Valley Children's Hospital, Madera, California, USA
- UCSF Benioff Children's Hospital Oakland, Oakland, California, USA
| | | | - Hafsah Jamil
- Valley Children's Hospital, Madera, California, USA
| | - Eric Chavez
- Valley Children's Hospital, Madera, California, USA
| | | | | | | | - Sarah Benke
- Valley Children's Hospital, Madera, California, USA
| | | | | | - Kady Murphy
- Valley Children's Hospital, Madera, California, USA
| | | | | | | | - Mark E Nunes
- Valley Children's Hospital, Madera, California, USA
| | | | | | | | - Jeremy Woods
- Valley Children's Hospital, Madera, California, USA
- Stanford University, Palo Alto, California, USA
- Eureka Institute for Translational Medicine, Siracusa, Italy
- Translation Science Foundation, Fresno, California, USA
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4
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Amjadi M, Hayatmehr Z, Egyed B, Tavallaei M, Szécsényi-Nagy A. A comprehensive review of HVS-I mitochondrial DNA variation of 19 Iranian populations. Ann Hum Genet 2024; 88:259-277. [PMID: 38161274 DOI: 10.1111/ahg.12544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024]
Abstract
Iran is located along the Central Asian corridor, a natural artery that has served as a cross-continental route since the first anatomically modern human populations migrated out of Africa. We compiled and reanalyzed the HVS-I (hypervariable segment-I) of 3840 mitochondrial DNA (mtDNA) sequences from 19 Iranian populations and from 26 groups from adjacent countries to give a comprehensive review of the maternal genetic variation and investigate the impact of historical events and cultural factors on the maternal genetic structure of modern Iranians. We conclude that Iranians have a high level of genetic diversity. Thirty-six haplogroups were observed in Iran's populations, and most of them belong to widespread West-Eurasian haplogroups, such as H, HV, J, N, T, and U. In contrast, the predominant haplogroups observed in most of the adjacent countries studied here are H, M, D, R, U, and C haplogroups. Using principal component analysis, clustering, and genetic distance-based calculations, we estimated moderate genetic relationships between Iranian and other Eurasian groups. Further, analyses of molecular variance and comparing geographic and genetic structures indicate that mtDNA HVS-I sequence diversity does not exhibit any sharp geographic structure in the country. Barring a few from some culturally distinct and naturally separated minorities, most Iranian populations have a homogenous maternal genetic structure.
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Affiliation(s)
- Motahareh Amjadi
- Department of Genetics, ELTE Doctoral School of Biology, Eötvös Loránd University, Budapest, Hungary
- HUN-REN Research Centre for the Humanities, Institute of Archaeogenomics, Budapest, Hungary
| | - Zahra Hayatmehr
- Faculty of Management and Financial Science, Department of Management, Khatam University, Tehran, Iran
| | - Balázs Egyed
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | | | - Anna Szécsényi-Nagy
- HUN-REN Research Centre for the Humanities, Institute of Archaeogenomics, Budapest, Hungary
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5
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Jenkins TL. mapmixture: An R package and web app for spatial visualisation of admixture and population structure. Mol Ecol Resour 2024; 24:e13943. [PMID: 38390660 DOI: 10.1111/1755-0998.13943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 11/28/2023] [Accepted: 02/15/2024] [Indexed: 02/24/2024]
Abstract
The mapmixture R package and interactive web app are tools to aid visualisation of admixture and population structure in geographic space. The purpose of mapmixture is to enable and encourage molecular ecologists, and in particular population geneticists and phylogeneticists, to plot their admixture, ancestry or assignment results on a map when location information is available. mapmixture accepts data in the format typically generated by admixture analyses and visualises proportions to each genetic cluster per site as pie charts on a projected (optional) map. Combining this site-based map presentation approach with the routine individual-based presentation of admixture (structure) barplots will enhance interpretation of genetic-geographic patterns. Additionally, in the context of science communication, this enables clearer transfer of spatial genetic information to readers or listeners, and especially to audiences that do not have a background in genetics but who are able to use the genetic information as evidence in conservation management. The latest version of mapmixture is available on GitHub (https://github.com/tom-jenkins/mapmixture), which details installation instructions and examples of how to use the package and interactive web app.
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Affiliation(s)
- Tom L Jenkins
- Department of Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
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6
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Stringer EJ, Gruber B, Sarre SD, Wardle GM, Edwards SV, Dickman CR, Greenville AC, Duncan RP. Boom-bust population dynamics drive rapid genetic change. Proc Natl Acad Sci U S A 2024; 121:e2320590121. [PMID: 38621118 DOI: 10.1073/pnas.2320590121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 03/06/2024] [Indexed: 04/17/2024] Open
Abstract
Increasing environmental threats and more extreme environmental perturbations place species at risk of population declines, with associated loss of genetic diversity and evolutionary potential. While theory shows that rapid population declines can cause loss of genetic diversity, populations in some environments, like Australia's arid zone, are repeatedly subject to major population fluctuations yet persist and appear able to maintain genetic diversity. Here, we use repeated population sampling over 13 y and genotype-by-sequencing of 1903 individuals to investigate the genetic consequences of repeated population fluctuations in two small mammals in the Australian arid zone. The sandy inland mouse (Pseudomys hermannsburgensis) experiences marked boom-bust population dynamics in response to the highly variable desert environment. We show that heterozygosity levels declined, and population differentiation (FST) increased, during bust periods when populations became small and isolated, but that heterozygosity was rapidly restored during episodic population booms. In contrast, the lesser hairy-footed dunnart (Sminthopsis youngsoni), a desert marsupial that maintains relatively stable population sizes, showed no linear declines in heterozygosity. These results reveal two contrasting ways in which genetic diversity is maintained in highly variable environments. In one species, diversity is conserved through the maintenance of stable population sizes across time. In the other species, diversity is conserved through rapid genetic mixing during population booms that restores heterozygosity lost during population busts.
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Affiliation(s)
- Emily J Stringer
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra ACT 2617, Australia
| | - Bernd Gruber
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra ACT 2617, Australia
| | - Stephen D Sarre
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra ACT 2617, Australia
| | - Glenda M Wardle
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney NSW 2006, Australia
| | - Scott V Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138
| | - Christopher R Dickman
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney NSW 2006, Australia
| | - Aaron C Greenville
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney NSW 2006, Australia
| | - Richard P Duncan
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra ACT 2617, Australia
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7
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Wei X, Tsai MS, Liang L, Jiang L, Hung CJ, Jelliffe-Pawlowski L, Rand L, Snyder M, Jiang C. Vaginal microbiomes show ethnic evolutionary dynamics and positive selection of Lactobacillus adhesins driven by a long-term niche-specific process. Cell Rep 2024; 43:114078. [PMID: 38598334 DOI: 10.1016/j.celrep.2024.114078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 03/01/2024] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
The vaginal microbiome's composition varies among ethnicities. However, the evolutionary landscape of the vaginal microbiome in the multi-ethnic context remains understudied. We perform a systematic evolutionary analysis of 351 vaginal microbiome samples from 35 multi-ethnic pregnant women, in addition to two validation cohorts, totaling 462 samples from 90 women. Microbiome alpha diversity and community state dynamics show strong ethnic signatures. Lactobacillaceae have a higher ratio of non-synonymous to synonymous polymorphism and lower nucleotide diversity than non-Lactobacillaceae in all ethnicities, with a large repertoire of positively selected genes, including the mucin-binding and cell wall anchor genes. These evolutionary dynamics are driven by the long-term evolutionary process unique to the human vaginal niche. Finally, we propose an evolutionary model reflecting the environmental niches of microbes. Our study reveals the extensive ethnic signatures in vaginal microbial ecology and evolution, highlighting the importance of studying the host-microbiome ecosystem from an evolutionary perspective.
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Affiliation(s)
- Xin Wei
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Ming-Shian Tsai
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Liang Liang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Liuyiqi Jiang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China
| | - Chia-Jui Hung
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Informatics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Laura Jelliffe-Pawlowski
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Larry Rand
- Department of Obstetrics, Gynecology & Reproductive Sciences, School of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Chao Jiang
- MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310030, China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China.
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8
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Filatov DA. ProSeq4: A user-friendly multiplatform program for preparation and analysis of large-scale DNA polymorphism datasets. Mol Ecol Resour 2024:e13962. [PMID: 38646687 DOI: 10.1111/1755-0998.13962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/28/2024] [Accepted: 04/08/2024] [Indexed: 04/23/2024]
Abstract
Preparation of DNA polymorphism datasets for analysis is an important step in evolutionary genetic and molecular ecology studies. Ever-growing dataset sizes make this step time consuming, but few convenient software tools are available to facilitate processing of large-scale datasets including thousands of sequence alignments. Here I report "processor of sequences v4" (proSeq4)-a user-friendly multiplatform software for preparation and evolutionary genetic analyses of genome- or transcriptome-scale sequence polymorphism datasets. The program has an easy-to-use graphic user interface and is designed to process and analyse many thousands of datasets. It supports over two dozen file formats, includes a flexible sequence editor and various tools for data visualization, quality control and most commonly used evolutionary genetic analyses, such as NJ-phylogeny reconstruction, DNA polymorphism analyses and coalescent simulations. Command line tools (e.g. vcf2fasta) are also provided for easier integration into bioinformatic pipelines. Apart of molecular ecology and evolution research, proSeq4 may be useful for teaching, e.g. for visual illustration of different shapes of phylogenies generated with coalescent simulations in different scenarios. ProSeq4 source code and binaries for Windows, MacOS and Ubuntu are available from https://sourceforge.net/projects/proseq/.
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9
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Lin Q, Goldberg EE, Leitner T, Molina-París C, King AA, Romero-Severson EO. The number and pattern of viral genomic reassortments are not necessarily identifiable from segment trees. Mol Biol Evol 2024:msae078. [PMID: 38648521 DOI: 10.1093/molbev/msae078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/23/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024] Open
Abstract
Reassortment is an evolutionary process common in viruses with segmented genomes. These viruses can swap whole genomic segments during cellular co-infection, giving rise to novel progeny formed from the mixture of parental segments. Because large-scale genome rearrangements have the potential to generate new phenotypes, reassortment is important to both evolutionary biology and public health research. However, statistical inference of the pattern of reassortment events from phylogenetic data is exceptionally difficult, potentially involving inference of general graphs in which individual segment trees are embedded. In this paper, we argue that, in general, the number and pattern of reassortment events are not identifiable from segment trees alone, even with theoretically ideal data. We call this fact the fundamental problem of reassortment, which we illustrate using the concept of the `first-infection tree', a typically but not always counterfactual genealogy that would have been observed in the segment trees had no reassortment occurred. Further, we illustrate four additional problems that can arise logically in the inference of reassortment events and show, using simulated data, that these problems are not rare and can potentially distort our perception of reassortment even in small data sets. Finally, we discuss how existing methods can be augmented or adapted to account for not only the fundamental problem of reassortment but also the four additional situations that can complicate the inference of reassortment.
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Affiliation(s)
- Qianying Lin
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos NM, USA
| | - Emma E Goldberg
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos NM, USA
| | - Thomas Leitner
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos NM, USA
| | - Carmen Molina-París
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos NM, USA
| | - Aaron A King
- Center for the Study of Complex Systems and Departments of Ecology & Evolutionary Biology and Mathematics, University of Michigan, Ann Arbor MI, USA
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe NM, USA
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10
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Marin MV, Ratti MF, Peres NA, Goss EM. New Genotypes of Phytophthora nicotianae Found on Strawberry in Florida. Phytopathology 2024:PHYTO05230175R. [PMID: 37942874 DOI: 10.1094/phyto-05-23-0175-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Phytophthora cactorum is the most common causal agent of Phytophthora crown rot and leather rot of strawberry, but P. nicotianae is also responsible for the disease in Florida. Studies of P. nicotianae populations have suggested that different groups of genotypes are associated with different hosts; however, it is not yet clear how many lineages exist globally and how they are related to different production systems. The aim of this study was to determine the genetic relationships of P. nicotianae isolates from Florida strawberry with genotypes reported from other hosts, quantify the genetic variation on strawberry, and test for an association with nursery source. A total of 49 isolates of P. nicotianae were collected from strawberry plants originating from multiple nursery sources during six seasons of commercial fruit production in Florida. Microsatellite genotyping identified 28 multilocus genotypes on strawberry that were distinct among 208 isolates originating from various hosts and locations. Based on STRUCTURE analysis, two genetic groups were identified: one consisting of isolates from strawberry, and the other comprising samples from different hosts. Multilocus genotypes were shared among nursery sources, and populations defined by nursery were not differentiated. Both mating types were found among the isolates from North Carolina- and California-origin plants and in most strawberry seasons; however, a predominance of A1 was observed, and regular sexual reproduction was not supported by the data. This study reveals a unique genetic population of P. nicotianae associated with strawberry and emphasizes the vital role of nursery monitoring in mitigating disease spread.
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Affiliation(s)
- Marcus V Marin
- Department of Plant Pathology, University of Florida, Gulf Coast Research and Education Center, Wimauma, FL 33598, U.S.A
| | - Maria F Ratti
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, República del Ecuador
| | - Natalia A Peres
- Department of Plant Pathology, University of Florida, Gulf Coast Research and Education Center, Wimauma, FL 33598, U.S.A
| | - Erica M Goss
- Department of Plant Pathology and Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, U.S.A
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11
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Dennis TPW, Essandoh J, Mable BK, Viana MS, Yawson AE, Weetman D. Signatures of adaptation at key insecticide resistance loci in Anopheles gambiae in Southern Ghana revealed by reduced-coverage WGS. Sci Rep 2024; 14:8650. [PMID: 38622230 PMCID: PMC11018624 DOI: 10.1038/s41598-024-58906-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/04/2024] [Indexed: 04/17/2024] Open
Abstract
Resistance to insecticides and adaptation to a diverse range of environments present challenges to Anopheles gambiae s.l. mosquito control efforts in sub-Saharan Africa. Whole-genome-sequencing is often employed for identifying the genomic basis underlying adaptation in Anopheles, but remains expensive for large-scale surveys. Reduced coverage whole-genome-sequencing can identify regions of the genome involved in adaptation at a lower cost, but is currently untested in Anopheles mosquitoes. Here, we use reduced coverage WGS to investigate population genetic structure and identify signatures of local adaptation in Anopheles mosquitoes across southern Ghana. In contrast to previous analyses, we find no structuring by ecoregion, with Anopheles coluzzii and Anopheles gambiae populations largely displaying the hallmarks of large, unstructured populations. However, we find signatures of selection at insecticide resistance loci that appear ubiquitous across ecoregions in An. coluzzii, and strongest in forest ecoregions in An. gambiae. Our study highlights resistance candidate genes in this region, and validates reduced coverage WGS, potentially to very low coverage levels, for population genomics and exploratory surveys for adaptation in Anopheles taxa.
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Affiliation(s)
- Tristan P W Dennis
- Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
- School of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow, Glasgow, UK.
| | - John Essandoh
- Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
- Department of Conservation Biology and Entomology, School of Biological Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Barbara K Mable
- School of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Mafalda S Viana
- School of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Alexander E Yawson
- Department of Biomedical Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana
| | - David Weetman
- Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
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12
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Liu X, Lin L, Sinding MHS, Bertola LD, Hanghøj K, Quinn L, Garcia-Erill G, Rasmussen MS, Schubert M, Pečnerová P, Balboa RF, Li Z, Heaton MP, Smith TPL, Pinto RR, Wang X, Kuja J, Brüniche-Olsen A, Meisner J, Santander CG, Ogutu JO, Masembe C, da Fonseca RR, Muwanika V, Siegismund HR, Albrechtsen A, Moltke I, Heller R. Introgression and disruption of migration routes have shaped the genetic integrity of wildebeest populations. Nat Commun 2024; 15:2921. [PMID: 38609362 PMCID: PMC11014984 DOI: 10.1038/s41467-024-47015-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/11/2024] [Indexed: 04/14/2024] Open
Abstract
The blue wildebeest (Connochaetes taurinus) is a keystone species in savanna ecosystems from southern to eastern Africa, and is well known for its spectacular migrations and locally extreme abundance. In contrast, the black wildebeest (C. gnou) is endemic to southern Africa, barely escaped extinction in the 1900s and is feared to be in danger of genetic swamping from the blue wildebeest. Despite the ecological importance of the wildebeest, there is a lack of understanding of how its unique migratory ecology has affected its gene flow, genetic structure and phylogeography. Here, we analyze whole genomes from 121 blue and 22 black wildebeest across the genus' range. We find discrete genetic structure consistent with the morphologically defined subspecies. Unexpectedly, our analyses reveal no signs of recent interspecific admixture, but rather a late Pleistocene introgression of black wildebeest into the southern blue wildebeest populations. Finally, we find that migratory blue wildebeest populations exhibit a combination of long-range panmixia, higher genetic diversity and lower inbreeding levels compared to neighboring populations whose migration has recently been disrupted. These findings provide crucial insights into the evolutionary history of the wildebeest, and tangible genetic evidence for the negative effects of anthropogenic activities on highly migratory ungulates.
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Affiliation(s)
- Xiaodong Liu
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Long Lin
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Laura D Bertola
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Hanghøj
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Liam Quinn
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Mikkel Schubert
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | | | - Renzo F Balboa
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Zilong Li
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Michael P Heaton
- USDA, ARS, U.S. Meat Animal Research Center (USMARC), Clay Center, NE, USA
| | - Timothy P L Smith
- USDA, ARS, U.S. Meat Animal Research Center (USMARC), Clay Center, NE, USA
| | - Rui Resende Pinto
- CIIMAR-Interdisciplinary Centre of Marine and Environmental Research-University of Porto, Porto, Portugal
- Section for Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Xi Wang
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Josiah Kuja
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Jonas Meisner
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Research Centre for Mental Health, Copenhagen University Hospital, Copenhagen, Denmark
| | - Cindy G Santander
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Joseph O Ogutu
- Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany
| | - Charles Masembe
- Department of Zoology, Entomology and Fisheries Sciences, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Rute R da Fonseca
- CIIMAR-Interdisciplinary Centre of Marine and Environmental Research-University of Porto, Porto, Portugal
- Section for Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Vincent Muwanika
- Department of Environmental Management, Makerere University, PO Box 7062, Kampala, Uganda
| | - Hans R Siegismund
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Ida Moltke
- Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Rasmus Heller
- Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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13
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Durward-Akhurst SA, Marlowe JL, Schaefer RJ, Springer K, Grantham B, Carey WK, Bellone RR, Mickelson JR, McCue ME. Predicted genetic burden and frequency of phenotype-associated variants in the horse. Sci Rep 2024; 14:8396. [PMID: 38600096 PMCID: PMC11006912 DOI: 10.1038/s41598-024-57872-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
Disease-causing variants have been identified for less than 20% of suspected equine genetic diseases. Whole genome sequencing (WGS) allows rapid identification of rare disease causal variants. However, interpreting the clinical variant consequence is confounded by the number of predicted deleterious variants that healthy individuals carry (predicted genetic burden). Estimation of the predicted genetic burden and baseline frequencies of known deleterious or phenotype associated variants within and across the major horse breeds have not been performed. We used WGS of 605 horses across 48 breeds to identify 32,818,945 variants, demonstrate a high predicted genetic burden (median 730 variants/horse, interquartile range: 613-829), show breed differences in predicted genetic burden across 12 target breeds, and estimate the high frequencies of some previously reported disease variants. This large-scale variant catalog for a major and highly athletic domestic animal species will enhance its ability to serve as a model for human phenotypes and improves our ability to discover the bases for important equine phenotypes.
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Affiliation(s)
- S A Durward-Akhurst
- Department of Veterinary Clinical Sciences, University of Minnesota, C339 VMC, 1353 Boyd Avenue, St. Paul, MN, 55108, USA.
| | - J L Marlowe
- Department of Veterinary Clinical Sciences, University of Minnesota, C339 VMC, 1353 Boyd Avenue, St. Paul, MN, 55108, USA
| | - R J Schaefer
- Department of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA
| | - K Springer
- Department of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA
| | - B Grantham
- Interval Bio LLC, 408 Stierline Road, Mountain View, CA, 94043, USA
| | - W K Carey
- Interval Bio LLC, 408 Stierline Road, Mountain View, CA, 94043, USA
| | - R R Bellone
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
- Population Health and Reproduction and Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - J R Mickelson
- Department of Veterinary and Biomedical Sciences, University of Minnesota, 295F Animal Science Veterinary Medicine Building, 1988 Fitch Avenue, St. Paul, MN, 55108, USA
| | - M E McCue
- Department of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA
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14
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Ruiz-Vargas N, Ramanauskas K, Tyszka AS, Bretz EC, Yeo MTS, Mason-Gamer RJ, Walker JF. Transcriptome data from silica-preserved leaf tissue reveal gene flow patterns in a Caribbean bromeliad. Ann Bot 2024; 133:459-472. [PMID: 38181407 PMCID: PMC11006539 DOI: 10.1093/aob/mcae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/04/2024] [Indexed: 01/07/2024]
Abstract
BACKGROUND AND AIMS Transcriptome sequencing is a cost-effective approach that allows researchers to study a broad range of questions. However, to preserve RNA for transcriptome sequencing, tissue is often kept in special conditions, such as immediate ultracold freezing. Here, we demonstrate that RNA can be obtained from 6-month-old, field-collected samples stored in silica gel at room temperature. Using these transcriptomes, we explore the evolutionary relationships of the genus Pitcairnia (Bromeliaceae) in the Dominican Republic and infer barriers to gene flow. METHODS We extracted RNA from silica-dried leaf tissue from 19 Pitcairnia individuals collected across the Dominican Republic. We used a series of macro- and micro-evolutionary approaches to examine the relationships and patterns of gene flow among individuals. KEY RESULTS We produced high-quality transcriptomes from silica-dried material and demonstrated that evolutionary relationships on the island match geography more closely than species delimitation methods. A population genetic examination indicates that a combination of ecological and geographical features presents barriers to gene flow in Pitcairnia. CONCLUSIONS Transcriptomes can be obtained from silica-preserved tissue. The genetic diversity among Pitcairnia populations does not warrant classification as separate species, but the Dominican Republic contains several barriers to gene flow, notably the Cordillera Central mountain range.
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Affiliation(s)
- Natalia Ruiz-Vargas
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Karolis Ramanauskas
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Alexa S Tyszka
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Eric C Bretz
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
| | - May T S Yeo
- The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, UK
- Department of Genetics, Downing Site, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Roberta J Mason-Gamer
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Joseph F Walker
- Department of Biological Sciences, the University of Illinois at Chicago, Chicago, IL 60607, USA
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15
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Scarpa A, Pianezza R, Wierzbicki F, Kofler R. Genomes of historical specimens reveal multiple invasions of LTR retrotransposons in Drosophila melanogaster during the 19th century. Proc Natl Acad Sci U S A 2024; 121:e2313866121. [PMID: 38564639 PMCID: PMC11009621 DOI: 10.1073/pnas.2313866121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 01/05/2024] [Indexed: 04/04/2024] Open
Abstract
Transposable element invasions have a profound impact on the evolution of genomes and phenotypes. It is thus an important open question how often such TE invasions occur. To address this question, we utilize the genomes of historical specimens, sampled about 200 y ago. We found that the LTR retrotransposons Blood, Opus, and 412 spread in Drosophila melanogaster in the 19th century. These invasions constitute second waves, as degraded fragments were found for all three TEs. The composition of Opus and 412, but not of Blood, shows a pronounced geographic heterogeneity, likely due to founder effects during the invasions. Finally, we identified species from the Drosophila simulans complex as the likely origin of the TEs. We show that in total, seven TE families invaded D. melanogaster during the last 200y, thereby increasing the genome size by up to 1.2Mbp. We suggest that this high rate of TE invasions was likely triggered by human activity. Based on the analysis of strains and specimens sampled at different times, we provide a detailed timeline of TE invasions, making D. melanogaster the first organism where the invasion history of TEs during the last two centuries could be inferred.
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Affiliation(s)
- Almorò Scarpa
- Institut für Populationsgenetik, Vetmeduni Vienna, Wien1210, Austria
- Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna1210, Austria
| | - Riccardo Pianezza
- Institut für Populationsgenetik, Vetmeduni Vienna, Wien1210, Austria
- Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna1210, Austria
| | - Filip Wierzbicki
- Institut für Populationsgenetik, Vetmeduni Vienna, Wien1210, Austria
- Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna1210, Austria
| | - Robert Kofler
- Institut für Populationsgenetik, Vetmeduni Vienna, Wien1210, Austria
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16
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Mills KK, Hildebrandt KPB, Everson KM, Horstmann L, Misarti N, Olson LE. Ancient DNA indicates a century of overhunting did not reduce genetic diversity in Pacific Walruses (Odobenus rosmarus divergens). Sci Rep 2024; 14:8257. [PMID: 38589385 PMCID: PMC11001934 DOI: 10.1038/s41598-024-57414-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 03/18/2024] [Indexed: 04/10/2024] Open
Abstract
Pacific Walruses (Odobenus rosmarus divergens [Illiger 1815]) are gregarious marine mammals considered to be sentinels of the Arctic because of their dependence on sea ice for feeding, molting, and parturition. Like many other marine mammal species, their population sizes were decimated by historical overhunting in the nineteenth and twentieth centuries. Although they have since been protected from nearly all commercial hunting pressure, they now face rapidly accelerating habitat loss as global warming reduces the extent of summer sea ice in the Arctic. To investigate how genetic variation was impacted by overhunting, we obtained mitochondrial DNA sequences from historic Pacific Walrus samples in Alaska that predate the period of overhunting, as well as from extant populations. We found that genetic variation was unchanged over this period, suggesting Pacific Walruses are resilient to genetic attrition in response to reduced population size, and that this may be related to their high vagility and lack of population structure. Although Pacific Walruses will almost certainly continue to decline in number as the planet warms and summer sea ice is further reduced, they may be less susceptible to the ratcheting effects of inbreeding that typically accompany shrinking populations.
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Affiliation(s)
- Kendall K Mills
- Department of Mammalogy, University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA.
- Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA.
| | - Kyndall P B Hildebrandt
- Department of Mammalogy, University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA
| | - Kathryn M Everson
- Department of Mammalogy, University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA
- Department of Integrative Biology, Oregon State University, 2701 SW Campus Way, Corvallis, OR, 97331, USA
| | - Lara Horstmann
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Nicole Misarti
- Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Link E Olson
- Department of Mammalogy, University of Alaska Museum, 1962 Yukon Drive, Fairbanks, AK, 99775, USA
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17
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Ritland K. Relatedness coefficients and their applications for triplets and quartets of genetic markers. G3 (Bethesda) 2024; 14:jkad236. [PMID: 38411620 PMCID: PMC10989858 DOI: 10.1093/g3journal/jkad236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 07/26/2023] [Indexed: 02/28/2024]
Abstract
Relatedness coefficients which seek the identity-by-descent of genetic markers are described. The markers are in groups of two, three or four, and if four, can consist of two pairs. It is essential to use cumulants (not moments) for four-marker-gene probabilities, as the covariance of homozygosity, used in four-marker applications, can only be described with cumulants. A covariance of homozygosity between pairs of markers arises when populations follow a mixture distribution. Also, the probability of four markers all identical-by-descent equals the normalized fourth cumulant. In this article, a "genetic marker" generally represents either a gene locus or an allele at a locus. Applications of three marker coefficients mainly involve conditional regression, and applications of four marker coefficients can involve identity disequilibrium. Estimation of relatedness using genetic marker data is discussed. However, three- and four-marker estimators suffer from statistical and numerical problems, including higher statistical variance, complexity of estimation formula, and singularity at some intermediate allele frequencies.
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Affiliation(s)
- Kermit Ritland
- Biodiversity Research Center, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
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18
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Joubert PM, Krasileva KV. Distinct genomic contexts predict gene presence-absence variation in different pathotypes of Magnaporthe oryzae. Genetics 2024; 226:iyae012. [PMID: 38290434 PMCID: PMC10990425 DOI: 10.1093/genetics/iyae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 11/28/2023] [Accepted: 12/19/2023] [Indexed: 02/01/2024] Open
Abstract
Fungi use the accessory gene content of their pangenomes to adapt to their environments. While gene presence-absence variation contributes to shaping accessory gene reservoirs, the genomic contexts that shape these events remain unclear. Since pangenome studies are typically species-wide and do not analyze different populations separately, it is yet to be uncovered whether presence-absence variation patterns and mechanisms are consistent across populations. Fungal plant pathogens are useful models for studying presence-absence variation because they rely on it to adapt to their hosts, and members of a species often infect distinct hosts. We analyzed gene presence-absence variation in the blast fungus, Magnaporthe oryzae (syn. Pyricularia oryzae), and found that presence-absence variation genes involved in host-pathogen and microbe-microbe interactions may drive the adaptation of the fungus to its environment. We then analyzed genomic and epigenomic features of presence-absence variation and observed that proximity to transposable elements, gene GC content, gene length, expression level in the host, and histone H3K27me3 marks were different between presence-absence variation genes and conserved genes. We used these features to construct a model that was able to predict whether a gene is likely to experience presence-absence variation with high precision (86.06%) and recall (92.88%) in M. oryzae. Finally, we found that presence-absence variation genes in the rice and wheat pathotypes of M. oryzae differed in their number and their genomic context. Our results suggest that genomic and epigenomic features of gene presence-absence variation can be used to better understand and predict fungal pangenome evolution. We also show that substantial intra-species variation can exist in these features.
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Affiliation(s)
- Pierre M Joubert
- Department of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA
- Center for Computational Biology, University of California-Berkeley, Berkeley, CA 94720, USA
| | - Ksenia V Krasileva
- Department of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA
- Center for Computational Biology, University of California-Berkeley, Berkeley, CA 94720, USA
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Li J, Zhao Y, Wu Z, Wang X. Editorial: Crop improvement by omics and bioinformatics. Front Plant Sci 2024; 15:1391334. [PMID: 38633453 PMCID: PMC11022161 DOI: 10.3389/fpls.2024.1391334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 03/21/2024] [Indexed: 04/19/2024]
Affiliation(s)
- Jun Li
- Hainan Institute of Zhejiang University, Sanya, Hainan, China
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yan Zhao
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, Shandong, China
| | - Zhichao Wu
- National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Xueqiang Wang
- Hainan Institute of Zhejiang University, Sanya, Hainan, China
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
- Yazhouwan National Laboratory, Sanya, Hainan, China
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20
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Pandey RK, Srivastava A, Mishra RK, Singh PP, Chaubey G. Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations. Sci Rep 2024; 14:7822. [PMID: 38570613 PMCID: PMC10991378 DOI: 10.1038/s41598-024-54607-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/14/2024] [Indexed: 04/05/2024] Open
Abstract
SARS CoV-2, the causative agent for the ongoing COVID-19 pandemic, it enters the host cell by activating the ACE2 receptor with the help of two proteasesi.e., Furin and TMPRSS2. Therefore, variations in these genes may account for differential susceptibility and severity between populations. Previous studies have shown that the role of ACE2 and TMPRSS2 gene variants in understanding COVID-19 susceptibility among Indian populations. Nevertheless, a knowledge gap exists concerning the COVID-19 susceptibility of Furin gene variants among diverse South Asian ethnic groups. Investigating the role of Furin gene variants and their global phylogeographic structure is essential to comprehensively understanding COVID-19 susceptibility in these populations. We have used 450 samples from diverse Indian states and performed linear regression to analyse the Furin gene variant's with COVID-19 Case Fatality Rate (CFR) that could be epidemiologically associated with disease severity outcomes. Associated genetic variants were further evaluated for their expression and regulatory potential through various Insilco analyses. Additionally, we examined the Furin gene using next-generation sequencing (NGS) data from 393 diverse global samples, with a particular emphasis on South Asia, to investigate its Phylogeographic structure among diverse world populations. We found a significant positive association for the SNP rs1981458 with COVID-19 CFR (p < 0.05) among diverse Indian populations at different timelines of the first and second waves. Further, QTL and other regulatory analyses showed various significant associations for positive regulatory roles of rs1981458 and Furin gene, mainly in Immune cells and virus infection process, highlighting their role in host immunity and viral assembly and processing. The Furin protein-protein interaction suggested that COVID-19 may contribute to Pulmonary arterial hypertension via a typical inflammation mechanism. The phylogeographic architecture of the Furin gene demonstrated a closer genetic affinity of South Asia with West Eurasian populations. Therefore, it is worth proposing that for the Furin gene, the COVID-19 susceptibility of South Asians will be more similar to the West Eurasian population. Our previous studies on the ACE2 and TMPRSS2 genes showed genetic affinity of South Asian with East Eurasians and West Eurasians, respectively. Therefore, with the collective information from these three important genes (ACE2, TMPRSS2 and Furin) we modelled COVID-19 susceptibilityof South Asia in between these two major ancestries with an inclination towards West Eurasia. In conclusion, this study, for the first time, concluded the role of rs1981458 in COVID-19 severity among the Indian population and outlined its regulatory potential.This study also highlights that the genetic structure for COVID-19 susceptibilityof South Asia is distinct, however, inclined to the West Eurasian population. We believe this insight may be utilised as a genetic biomarker to identify vulnerable populations, which might be directly relevant for developing policies and allocating resources more effectively during an epidemic.
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Affiliation(s)
- Rudra Kumar Pandey
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India.
| | - Anshika Srivastava
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India
| | - Rahul Kumar Mishra
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India
| | - Prajjval Pratap Singh
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India
| | - Gyaneshwer Chaubey
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, 221005, India.
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Riley R, Mathieson I, Mathieson S. Interpreting generative adversarial networks to infer natural selection from genetic data. Genetics 2024; 226:iyae024. [PMID: 38386895 PMCID: PMC10990424 DOI: 10.1093/genetics/iyae024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/15/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
Understanding natural selection and other forms of non-neutrality is a major focus for the use of machine learning in population genetics. Existing methods rely on computationally intensive simulated training data. Unlike efficient neutral coalescent simulations for demographic inference, realistic simulations of selection typically require slow forward simulations. Because there are many possible modes of selection, a high dimensional parameter space must be explored, with no guarantee that the simulated models are close to the real processes. Finally, it is difficult to interpret trained neural networks, leading to a lack of understanding about what features contribute to classification. Here we develop a new approach to detect selection and other local evolutionary processes that requires relatively few selection simulations during training. We build upon a generative adversarial network trained to simulate realistic neutral data. This consists of a generator (fitted demographic model), and a discriminator (convolutional neural network) that predicts whether a genomic region is real or fake. As the generator can only generate data under neutral demographic processes, regions of real data that the discriminator recognizes as having a high probability of being "real" do not fit the neutral demographic model and are therefore candidates for targets of selection. To incentivize identification of a specific mode of selection, we fine-tune the discriminator with a small number of custom non-neutral simulations. We show that this approach has high power to detect various forms of selection in simulations, and that it finds regions under positive selection identified by state-of-the-art population genetic methods in three human populations. Finally, we show how to interpret the trained networks by clustering hidden units of the discriminator based on their correlation patterns with known summary statistics.
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Affiliation(s)
- Rebecca Riley
- Department of Computer Science, Haverford College, Haverford, PA 19041, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sara Mathieson
- Department of Computer Science, Haverford College, Haverford, PA 19041, USA
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22
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Segura-García I, Olson JB, Gochfeld DJ, Brandt ME, Chaves-Fonnegra A. Severe hurricanes increase recruitment and gene flow in the clonal sponge Aplysina cauliformis. Mol Ecol 2024; 33:e17307. [PMID: 38444224 DOI: 10.1111/mec.17307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 03/07/2024]
Abstract
Upright branching sponges, such as Aplysina cauliformis, provide critical three-dimensional habitat for other organisms and assist in stabilizing coral reef substrata, but are highly susceptible to breakage during storms. Breakage can increase sponge fragmentation, contributing to population clonality and inbreeding. Conversely, storms could provide opportunities for new genotypes to enter populations via larval recruitment, resulting in greater genetic diversity in locations with frequent storms. The unprecedented occurrence of two Category 5 hurricanes in close succession during 2017 in the U.S. Virgin Islands (USVI) provided a unique opportunity to evaluate whether recolonization of newly available substrata on coral reefs was due to local (e.g. re-growth of remnants, fragmentation, larval recruitment) or remote (e.g. larval transport and immigration) sponge genotypes. We sampled A. cauliformis adults and juveniles from four reefs around St. Thomas and two in St. Croix (USVI). Using a 2bRAD protocol, all samples were genotyped for single-nucleotide polymorphisms (SNPs). Results showed that these major storm events favoured sponge larval recruitment but did not increase the genetic diversity of A. cauliformis populations. Recolonization of substratum post-storms via clonality was lower (15%) than expected and instead was mainly due to sexual reproduction (85%) via local larval recruitment. Storms did enhance gene flow among and within reef sites located south of St. Thomas and north of St. Croix. Therefore, populations of clonal marine species with low pelagic dispersion, such as A. cauliformis, may benefit from increased frequency and magnitude of hurricanes for the maintenance of genetic diversity and to combat inbreeding, enhancing the resilience of Caribbean sponge communities to extreme storm events.
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Affiliation(s)
- Iris Segura-García
- Harbor Branch Oceanographic Institution, Florida Atlantic University, Fort Pierce, Florida, USA
| | - Julie B Olson
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
| | - Deborah J Gochfeld
- National Center for Natural Products Research, University of Mississippi, Oxford, Mississippi, USA
| | - Marilyn E Brandt
- Center for Marine and Environmental Studies, University of the Virgin Islands, St. Thomas, Virgin Islands, USA
| | - Andia Chaves-Fonnegra
- Harbor Branch Oceanographic Institution, Florida Atlantic University, Fort Pierce, Florida, USA
- Harriet L. Wilkes Honors College, Florida Atlantic University, Jupiter, Florida, USA
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23
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Mullett MS, Harris AR, Scanu B, Van Poucke K, LeBoldus J, Stamm E, Bourret TB, Christova PK, Oliva J, Redondo MA, Talgø V, Corcobado T, Milenković I, Jung MH, Webber J, Heungens K, Jung T. Phylogeography, origin and population structure of the self-fertile emerging plant pathogen Phytophthora pseudosyringae. Mol Plant Pathol 2024; 25:e13450. [PMID: 38590129 PMCID: PMC11002350 DOI: 10.1111/mpp.13450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 04/10/2024]
Abstract
Phytophthora pseudosyringae is a self-fertile pathogen of woody plants, particularly associated with tree species from the genera Fagus, Notholithocarpus, Nothofagus and Quercus, which is found across Europe and in parts of North America and Chile. It can behave as a soil pathogen infecting roots and the stem collar region, as well as an aerial pathogen infecting leaves, twigs and stem barks, causing particular damage in the United Kingdom and western North America. The population structure, migration and potential outcrossing of a worldwide collection of isolates were investigated using genotyping-by-sequencing. Coalescent-based migration analysis revealed that the North American population originated from Europe. Historical gene flow has occurred between the continents in both directions to some extent, yet contemporary migration is overwhelmingly from Europe to North America. Two broad population clusters dominate the global population of the pathogen, with a subgroup derived from one of the main clusters found only in western North America. Index of association and network analyses indicate an influential level of outcrossing has occurred in this preferentially inbreeding, homothallic oomycete. Outcrossing between the two main population clusters has created distinct subgroups of admixed individuals that are, however, less common than the main population clusters. Differences in life history traits between the two main population clusters should be further investigated together with virulence and host range tests to evaluate the risk each population poses to natural environments worldwide.
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Affiliation(s)
- Martin S. Mullett
- Department of Forest Protection and Wildlife ManagementMendel University in BrnoBrnoCzech Republic
| | | | - Bruno Scanu
- Department of Agricultural SciencesUniversity of SassariSassariItaly
| | - Kris Van Poucke
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences UnitMerelbekeBelgium
| | - Jared LeBoldus
- Department of Botany and Plant PathologyOregon State UniversityCorvallisOregonUSA
- Department of Forest Engineering, Resources, and ManagementOregon State UniversityCorvallisOregonUSA
| | - Elizabeth Stamm
- Department of Botany and Plant PathologyOregon State UniversityCorvallisOregonUSA
| | - Tyler B. Bourret
- USDA‐ARS Mycology and Nematology Genetic Diversity and Biology LaboratoryBeltsvilleMarylandUSA
- Department of Plant PathologyUC DavisDavisCaliforniaUSA
| | | | - Jonás Oliva
- Department of Agricultural and Forest Sciences and EngineeringUniversity of LleidaLleidaSpain
- Joint Research Unit CTFC–AGROTECNIO–CERCALleidaSpain
| | - Miguel A. Redondo
- National Bioinformatics Infrastructure Sweden, Science for Life LaboratorySweden
- Department of Cell and Molecular BiologyUppsala UniversityUppsalaSweden
| | - Venche Talgø
- Division of Biotechnology and Plant HealthNorwegian Institute of Bioeconomy Research (NIBIO)ÅsNorway
| | - Tamara Corcobado
- Department of Forest Protection and Wildlife ManagementMendel University in BrnoBrnoCzech Republic
| | - Ivan Milenković
- Department of Forest Protection and Wildlife ManagementMendel University in BrnoBrnoCzech Republic
| | - Marília Horta Jung
- Department of Forest Protection and Wildlife ManagementMendel University in BrnoBrnoCzech Republic
| | | | - Kurt Heungens
- Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences UnitMerelbekeBelgium
| | - Thomas Jung
- Department of Forest Protection and Wildlife ManagementMendel University in BrnoBrnoCzech Republic
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24
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Banerjee P, Dey G, Maity JP, Stewart KA, Sharma RK, Chan MWY, Lee K, Chen C. The unseen invaders: Tracking phylogeographic dynamics and genetic diversity of cryptic Pomacea canaliculata and P. maculata (Golden apple snails) across Taiwan. Ecol Evol 2024; 14:e11268. [PMID: 38646006 PMCID: PMC11027011 DOI: 10.1002/ece3.11268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/23/2024] Open
Abstract
The cryptic invasion of golden apple snails (Pomacea canaliculata and P. maculata) in Taiwan has caused significant ecological and economical damage over the last few decades, however, their management remains difficult due to inadequate taxonomic identification, complex phylogeny, and limited population genetic information. We aim to understand the current distribution, putative population of origin, genetic diversity, and potential path of cryptic invasion of Pomacea canaliculata and P. maculata across Taiwan to aid in improved mitigation approaches. The present investigation conducted a nationwide survey with 254 samples collected from 41 locations in 14 counties or cities across Taiwan. We identified P. canaliculata and P. maculata based on mitochondrial COI and compared their genetic diversity across Taiwan, as well as other introduced and native countries (based on publicly available COI data) to understand the possible paths of invasion to Taiwan. Based on mitochondrial COI barcoding, sympatric and heterogeneous distributions of invasive P. canaliculata and P. maculata were noted. Our haplotype analysis and mismatch distribution results suggested multiple introductions of P. canaliculata in Taiwan was likely originated directly from Argentina, whereas P. maculata was probably introduced from a single, or a few, introduction event(s) from Argentina and Brazil. Our population genetic data further demonstrated a higher haplotype and genetic diversity for P. canaliculata and P. maculata in Taiwan compared to other introduced regions. Based on our current understanding, the establishment of P. canaliculata and P. maculata is alarming and widespread beyond geopolitical borders, requiring a concerted and expedited national and international invasive species mitigation program.
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Affiliation(s)
- Pritam Banerjee
- Department of Environmental Science, Policy and ManagementUniversity of CaliforniaBerkeleyCaliforniaUSA
- Department of Biomedical SciencesGraduate Institute of Molecular Biology, National Chung Cheng UniversityMin‐HsiungChiayi CountyTaiwan
| | - Gobinda Dey
- Department of Biomedical SciencesGraduate Institute of Molecular Biology, National Chung Cheng UniversityMin‐HsiungChiayi CountyTaiwan
- Department of Agricultural ChemistryNational Taiwan UniversityTaipeiTaiwan
| | - Jyoti Prakash Maity
- Environmental Science Laboratory, Department of Chemistry, Biological Laboratory, School of Applied SciencesKIIT Deemed to be UniversityBhubaneswarOdishaIndia
| | - Kathryn A. Stewart
- Institute of Environmental Sciences, Leiden UniversityLeidenThe Netherlands
| | - Raju Kumar Sharma
- Doctoral Program in Science, Technology, Environment and Mathematics, Department of Earth and Environmental SciencesNational Chung Cheng UniversityMin‐HsiungChiayi CountyTaiwan
| | - Michael W. Y. Chan
- Department of Biomedical SciencesGraduate Institute of Molecular Biology, National Chung Cheng UniversityMin‐HsiungChiayi CountyTaiwan
| | - Kuanhsuen Lee
- Department of Emergency MedicineDitmanson Medical Foundation Chia‐Yi Christian HospitalChiayiTaiwan
| | - Chien‐Yen Chen
- Department of Earth and Environmental SciencesNational Chung Cheng UniversityMin‐HsiungChiayi CountyTaiwan
- Center for Nano Bio‐Detection, Center for Innovative Research on Aging SocietyAIM‐HI, National Chung Cheng UniversityChiayiTaiwan
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25
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Hoelzel AR, Gkafas GA, Kang H, Sarigol F, Le Boeuf B, Costa DP, Beltran RS, Reiter J, Robinson PW, McInerney N, Seim I, Sun S, Fan G, Li S. Genomics of post-bottleneck recovery in the northern elephant seal. Nat Ecol Evol 2024; 8:686-694. [PMID: 38383849 PMCID: PMC11009102 DOI: 10.1038/s41559-024-02337-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
Populations and species are threatened by human pressure, but their fate is variable. Some depleted populations, such as that of the northern elephant seal (Mirounga angustirostris), recover rapidly even when the surviving population was small. The northern elephant seal was hunted extensively and taken by collectors between the early 1800s and 1892, suffering an extreme population bottleneck as a consequence. Recovery was rapid and now there are over 200,000 individuals. We sequenced 260 modern and 8 historical northern elephant seal nuclear genomes to assess the impact of the population bottleneck on individual northern elephant seals and to better understand their recovery. Here we show that inbreeding, an increase in the frequency of alleles compromised by lost function, and allele frequency distortion, reduced the fitness of breeding males and females, as well as the performance of adult females on foraging migrations. We provide a detailed investigation of the impact of a severe bottleneck on fitness at the genomic level and report on the role of specific gene systems.
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Affiliation(s)
| | - Georgios A Gkafas
- Department of Ichthyology and Aquatic Environment, University of Thessaly, Volos, Greece
| | - Hui Kang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Innovation Research Center for Aquatic Mammals, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | | | - Burney Le Boeuf
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Daniel P Costa
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Roxanne S Beltran
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Joanne Reiter
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Patrick W Robinson
- Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Nancy McInerney
- Center for Conservation Genomics, National Zoo and Conservation Biology Institute, Smithsonian Institution, Washington, DC, USA
| | - Inge Seim
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
- Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, China
| | | | | | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
- Innovation Research Center for Aquatic Mammals, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
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26
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Lyu B, Liu Q, Wu Y, Nguyen TQ, Che J, Nguyen SN, Myers EA, Burbrink FT, Guo P, Wang J. Genomic analysis reveals deep population divergence in the water snake Trimerodytes percarinatus (Serpentes, Natricidae). Ecol Evol 2024; 14:e11278. [PMID: 38628918 PMCID: PMC11019134 DOI: 10.1002/ece3.11278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 02/26/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024] Open
Abstract
Although several phylogeographic studies of Asian snakes have been conducted, most have focused on pitvipers, with non-venomous snakes, such as colubrids or natricids, remaining poorly studied. The Chinese keelback water snake (Trimerodytes percarinatus Boulenger) is a widespread, semiaquatic, non-venomous species occurring in China and southeastern Asia. Based on mitochondrial DNA (mtDNA) and single nucleotide polymorphism (SNP) data, we explored the population genetic structure, genetic diversity, and evolutionary history of this species. MtDNA-based phylogenetic analysis showed that T. percarinatus was composed of five highly supported and geographically structured lineages. SNP-based phylogenetic analysis, principal component analysis, and population structure analysis consistently revealed four distinct, geographically non-overlapping lineages, which was different from the mtDNA-based analysis in topology. Estimation of divergence dates and ancestral area of origin suggest that T. percarinatus originated ~12.68 million years ago (95% highest posterior density: 10.36-15.96 Mya) in a region covering southwestern China and Vietnam. Intraspecific divergence may have been triggered by the Qinghai-Xizang Plateau uplift. Population demographics and ecological niche modeling indicated that the effective population size fluctuated during 0.5 Mya and 0.002 Mya. Based on the data collected here, we also comment on the intraspecific taxonomy of T. percarinatus and question the validity of the subspecies T. p. suriki.
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Affiliation(s)
- Bing Lyu
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life SciencesHainan Normal UniversityHaikouChina
- Faculty of Agriculture, Forestry and Food EngineeringYibin UniversityYibinChina
| | - Qin Liu
- Faculty of Agriculture, Forestry and Food EngineeringYibin UniversityYibinChina
| | - Yayong Wu
- Faculty of Agriculture, Forestry and Food EngineeringYibin UniversityYibinChina
| | - Truong Q. Nguyen
- Institute of Ecology and Biological ResourcesVietnam Academy of Science and TechnologyHanoiVietnam
- Vietnam Academy of Science and TechnologyGraduate University of Science and TechnologyHanoiVietnam
| | - Jing Che
- State Key Laboratory of Genetic Resources and Evolution & Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of ZoologyChinese Academy of SciencesKunmingChina
| | - Sang N. Nguyen
- Institute of Tropical BiologyVietnam Academy of Science and TechnologyHo Chi Minh CityVietnam
| | - Edward A. Myers
- Department of HerpetologyCalifornia Academy of SciencesSan FranciscoCaliforniaUSA
| | - Frank T. Burbrink
- Department of HerpetologyAmerican Museum of Natural HistoryNew YorkNew YorkUSA
| | - Peng Guo
- Faculty of Agriculture, Forestry and Food EngineeringYibin UniversityYibinChina
| | - Jichao Wang
- Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life SciencesHainan Normal UniversityHaikouChina
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27
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Mitra S, Malik R, Wong W, Rahman A, Hartemink AJ, Pritykin Y, Dey KK, Leslie CS. Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis. Nat Genet 2024; 56:627-636. [PMID: 38514783 PMCID: PMC11018525 DOI: 10.1038/s41588-024-01689-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 02/14/2024] [Indexed: 03/23/2024]
Abstract
We present a gene-level regulatory model, single-cell ATAC + RNA linking (SCARlink), which predicts single-cell gene expression and links enhancers to target genes using multi-ome (scRNA-seq and scATAC-seq co-assay) sequencing data. The approach uses regularized Poisson regression on tile-level accessibility data to jointly model all regulatory effects at a gene locus, avoiding the limitations of pairwise gene-peak correlations and dependence on peak calling. SCARlink outperformed existing gene scoring methods for imputing gene expression from chromatin accessibility across high-coverage multi-ome datasets while giving comparable to improved performance on low-coverage datasets. Shapley value analysis on trained models identified cell-type-specific gene enhancers that are validated by promoter capture Hi-C and are 11× to 15× and 5× to 12× enriched in fine-mapped eQTLs and fine-mapped genome-wide association study (GWAS) variants, respectively. We further show that SCARlink-predicted and observed gene expression vectors provide a robust way to compute a chromatin potential vector field to enable developmental trajectory analysis.
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Affiliation(s)
- Sneha Mitra
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | | | - Wilfred Wong
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Tri-Institutional Training Program in Computational Biology and Medicine, New York City, NY, USA
| | - Afsana Rahman
- Hunter College, City University of New York, New York City, NY, USA
| | - Alexander J Hartemink
- Department of Computer Science, Duke University, Durham, NC, USA
- Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Yuri Pritykin
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Kushal K Dey
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
| | - Christina S Leslie
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
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28
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Weber MD, Richards TM, Sutton TT, Carter JE, Eytan RI. Deep-pelagic fishes: Demographic instability in a stable environment. Ecol Evol 2024; 14:e11267. [PMID: 38638366 PMCID: PMC11024635 DOI: 10.1002/ece3.11267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/10/2024] [Accepted: 04/01/2024] [Indexed: 04/20/2024] Open
Abstract
Demographic histories are frequently a product of the environment, as populations expand or contract in response to major environmental changes, often driven by changes in climate. Meso- and bathy-pelagic fishes inhabit some of the most temporally and spatially stable habitats on the planet. The stability of the deep-pelagic could make deep-pelagic fishes resistant to the demographic instability commonly reported in fish species inhabiting other marine habitats, however the demographic histories of deep-pelagic fishes are unknown. We reconstructed the historical demography of 11 species of deep-pelagic fishes using mitochondrial and nuclear DNA sequence data. We uncovered widespread evidence of population expansions in our study species, a counterintuitive result based on the nature of deep-pelagic ecosystems. Frequency-based methods detected potential demographic changes in nine species of fishes, while extended Bayesian skyline plots identified population expansions in four species. These results suggest that despite the relatively stable nature of the deep-pelagic environment, the fishes that reside here have likely been impacted by past changes in climate. Further investigation is necessary to better understand how deep-pelagic fishes, by far Earth's most abundant vertebrates, will respond to future climatic changes.
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Affiliation(s)
- Max D. Weber
- Texas A&M University at GalvestonGalvestonTexasUSA
| | | | | | | | - Ron I. Eytan
- Texas A&M University at GalvestonGalvestonTexasUSA
- Department of Biological SciencesLouisiana State UniversityBaton RougeLouisianaUSA
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29
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Liu P, Wilson P, Redquest B, Keobouasone S, Manseau M. Seq2Sat and SatAnalyzer toolkit: Towards comprehensive microsatellite genotyping from sequencing data. Mol Ecol Resour 2024; 24:e13929. [PMID: 38289068 DOI: 10.1111/1755-0998.13929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 03/06/2024]
Abstract
Accurate and efficient microsatellite loci genotyping is an essential process in population genetics that is also used in various demographic analyses. Protocols for next-generation sequencing of microsatellite loci enable high-throughput and cross-compatible allele scoring, common issues that are not addressed by conventional capillary-based approaches. To improve this process, we have developed an all-in-one software, called Seq2Sat (sequence to microsatellite), in C++ to support automated microsatellite genotyping. It directly takes raw reads of microsatellite amplicons and conducts read quality control before inferring genotypes based on depth-of-read, read ratio, sequence composition and length. We have also developed a module for sex identification based on sex chromosome-specific locus amplicons. To allow for greater user access and complement autoscoring, we developed SatAnalyzer (microsatellite analyzer), a user-friendly web-based platform that conducts reads-to-report analyses by calling Seq2Sat for genotype autoscoring and produces interactive genotype graphs for manual editing. SatAnalyzer also allows users to troubleshoot multiplex optimization by analysing read quality and distribution across loci and samples in support of high-quality library preparation. To evaluate its performance, we benchmarked our toolkit Seq2Sat/SatAnalyzer against a conventional capillary gel method and existing microsatellite genotyping software, MEGASAT, using two datasets. Results showed that SatAnalyzer can achieve >99.70% genotyping accuracy and Seq2Sat is ~5 times faster than MEGASAT despite many more informative tables and figures being generated. Seq2Sat and SatAnalyzer are freely available on github (https://github.com/ecogenomicscanada/Seq2Sat) and dockerhub (https://hub.docker.com/r/rocpengliu/satanalyzer).
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Affiliation(s)
- Peng Liu
- Science and Technology, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | - Paul Wilson
- Biology Department, Trent University, Peterborough, Ontario, Canada
| | | | - Sonesinh Keobouasone
- Science and Technology, Environment and Climate Change Canada, Ottawa, Ontario, Canada
| | - Micheline Manseau
- Science and Technology, Environment and Climate Change Canada, Ottawa, Ontario, Canada
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30
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Gose MA, Humble E, Brownlow A, Wall D, Rogan E, Sigurðsson GM, Kiszka JJ, Thøstesen CB, IJsseldijk LL, Ten Doeschate M, Davison NJ, Øien N, Deaville R, Siebert U, Ogden R. Population genomics of the white-beaked dolphin (Lagenorhynchus albirostris): Implications for conservation amid climate-driven range shifts. Heredity (Edinb) 2024; 132:192-201. [PMID: 38302666 PMCID: PMC10997624 DOI: 10.1038/s41437-024-00672-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 02/03/2024] Open
Abstract
Climate change is rapidly affecting species distributions across the globe, particularly in the North Atlantic. For highly mobile and elusive cetaceans, the genetic data needed to understand population dynamics are often scarce. Cold-water obligate species such as the white-beaked dolphin (Lagenorhynchus albirostris) face pressures from habitat shifts due to rising sea surface temperatures in addition to other direct anthropogenic threats. Unravelling the genetic connectivity between white-beaked dolphins across their range is needed to understand the extent to which climate change and anthropogenic pressures may impact species-wide genetic diversity and identify ways to protect remaining habitat. We address this by performing a population genomic assessment of white-beaked dolphins using samples from much of their contemporary range. We show that the species displays significant population structure across the North Atlantic at multiple scales. Analysis of contemporary migration rates suggests a remarkably high connectivity between populations in the western North Atlantic, Iceland and the Barents Sea, while two regional populations in the North Sea and adjacent UK and Irish waters are highly differentiated from all other clades. Our results have important implications for the conservation of white-beaked dolphins by providing guidance for the delineation of more appropriate management units and highlighting the risk that local extirpation may have on species-wide genetic diversity. In a broader context, this study highlights the importance of understanding genetic structure of all species threatened with climate change-driven range shifts to assess the risk of loss of species-wide genetic diversity.
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Affiliation(s)
- Marc-Alexander Gose
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK.
| | - Emily Humble
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew Brownlow
- Scottish Marine Animal Stranding Scheme, School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, UK
| | - Dave Wall
- Irish Whale and Dolphin Group (IWDG), Kilrush, Ireland
| | - Emer Rogan
- School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland
| | | | - Jeremy J Kiszka
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, FL, USA
| | | | - Lonneke L IJsseldijk
- Division of Pathology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Mariel Ten Doeschate
- Scottish Marine Animal Stranding Scheme, School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, UK
| | - Nicholas J Davison
- Scottish Marine Animal Stranding Scheme, School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, UK
| | - Nils Øien
- Institute of Marine Research (IMR), Bergen, Norway
| | - Rob Deaville
- Institute of Zoology, Zoological Society of London, London, UK
| | - Ursula Siebert
- Institute for Terrestrial and Aquatic Wildlife Research, University of Veterinary Medicine Hannover Foundation, Hannover, Germany
| | - Rob Ogden
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK
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31
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Raj N, Sukumaran S, Jose A, Nisha K, Roul SK, Rahangdale S, Kizhakudan SJ, Gopalakrishnan A. Population genetic structure of Randall's threadfin bream Nemipterus randalli in Indian waters based on mitochondrial and nuclear gene sequences. Sci Rep 2024; 14:7556. [PMID: 38555292 PMCID: PMC10981751 DOI: 10.1038/s41598-024-58047-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
Nemipterus randalli, commonly known as Randall's threadfin bream, is a commercially important marine finfish. Understanding its genetic structure is critical to effective management and conservation efforts. Previous investigations on population structure in this species were limited by geographic coverage. In this study, we utilized the mitochondrial Cytochrome b gene and nuclear Ribosomal protein gene intron Rp S7 sequences to investigate the population genetic structure, demography and genetic diversity of N. randalli along Indian waters. Our results revealed high haplotype diversity but low nucleotide diversity. AMOVA revealed that the variation among the population was highly significant. Hierarchical AMOVA provided further evidence of significant genetic differentiation between the west and east coasts, which was corroborated by the Bayesian tree and the median-joining network diagram. The mtDNA sequences revealed significant genetic structure between populations based on fixation index analysis following the isolation-by-distance model. Furthermore, the neutrality test and mismatch analysis suggest that N. randalli populations may have experienced a population expansion. However, nuclear marker RpS7, showed a high level of polymorphism, which obscured the population structuring observed with the mitochondrial marker. Consequently, concordant results were not obtained when comparing the mitochondrial and nuclear DNA sequences. The strong genetic differentiation between the east and west coast observed using mitochondrial marker could be attributed to a combination of geographic and environmental factors. These findings lay the groundwork for developing effective conservation and management strategies for N. randalli, considering its genetic structure.
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Affiliation(s)
- Neenu Raj
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India.
- Mangalore University, Mangalagangotri, Mangalore, Karnataka, 574 199, India.
| | - Sandhya Sukumaran
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - Anjaly Jose
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - K Nisha
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - Subal Kumar Roul
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - Shikha Rahangdale
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - Shoba Joe Kizhakudan
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
| | - A Gopalakrishnan
- Marine Biotechnology Fish Nutrition and Health Division, ICAR-Central Marine Fisheries Research Institute, Ernakulam North P.O., Kochi, Kerala, 682018, India
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Guo B, Borda V, Laboulaye R, Spring MD, Wojnarski M, Vesely BA, Silva JC, Waters NC, O'Connor TD, Takala-Harrison S. Strong positive selection biases identity-by-descent-based inferences of recent demography and population structure in Plasmodium falciparum. Nat Commun 2024; 15:2499. [PMID: 38509066 PMCID: PMC10954658 DOI: 10.1038/s41467-024-46659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
Malaria genomic surveillance often estimates parasite genetic relatedness using metrics such as Identity-By-Decent (IBD), yet strong positive selection stemming from antimalarial drug resistance or other interventions may bias IBD-based estimates. In this study, we use simulations, a true IBD inference algorithm, and empirical data sets from different malaria transmission settings to investigate the extent of this bias and explore potential correction strategies. We analyze whole genome sequence data generated from 640 new and 3089 publicly available Plasmodium falciparum clinical isolates. We demonstrate that positive selection distorts IBD distributions, leading to underestimated effective population size and blurred population structure. Additionally, we discover that the removal of IBD peak regions partially restores the accuracy of IBD-based inferences, with this effect contingent on the population's background genetic relatedness and extent of inbreeding. Consequently, we advocate for selection correction for parasite populations undergoing strong, recent positive selection, particularly in high malaria transmission settings.
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Affiliation(s)
- Bing Guo
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Victor Borda
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Roland Laboulaye
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michele D Spring
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Mariusz Wojnarski
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Brian A Vesely
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Joana C Silva
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA
- Global Health and Tropical Medicine (GHTM), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (NOVA), Lisbon, Portugal
| | - Norman C Waters
- Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
| | - Timothy D O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.
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Garrido Marques A, Rubinacci S, Malaspinas AS, Delaneau O, Sousa da Mota B. Assessing the impact of post-mortem damage and contamination on imputation performance in ancient DNA. Sci Rep 2024; 14:6227. [PMID: 38486065 PMCID: PMC10940295 DOI: 10.1038/s41598-024-56584-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
Low-coverage imputation is becoming ever more present in ancient DNA (aDNA) studies. Imputation pipelines commonly used for present-day genomes have been shown to yield accurate results when applied to ancient genomes. However, post-mortem damage (PMD), in the form of C-to-T substitutions at the reads termini, and contamination with DNA from closely related species can potentially affect imputation performance in aDNA. In this study, we evaluated imputation performance (i) when using a genotype caller designed for aDNA, ATLAS, compared to bcftools, and (ii) when contamination is present. We evaluated imputation performance with principal component analyses and by calculating imputation error rates. With a particular focus on differently imputed sites, we found that using ATLAS prior to imputation substantially improved imputed genotypes for a very damaged ancient genome (42% PMD). Trimming the ends of the sequencing reads led to similar improvements in imputation accuracy. For the remaining genomes, ATLAS brought limited gains. Finally, to examine the effect of contamination on imputation, we added various amounts of reads from two present-day genomes to a previously downsampled high-coverage ancient genome. We observed that imputation accuracy drastically decreased for contamination rates above 5%. In conclusion, we recommend (i) accounting for PMD by either trimming sequencing reads or using a genotype caller such as ATLAS before imputing highly damaged genomes and (ii) only imputing genomes containing up to 5% of contamination.
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Affiliation(s)
| | - Simone Rubinacci
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna-Sapfo Malaspinas
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | | | - Bárbara Sousa da Mota
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
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Nosil P, Gompert Z, Funk DJ. Divergent dynamics of sexual and habitat isolation at the transition between stick insect populations and species. Nat Commun 2024; 15:2273. [PMID: 38480699 PMCID: PMC10937975 DOI: 10.1038/s41467-024-46294-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 02/22/2024] [Indexed: 03/17/2024] Open
Abstract
Speciation is often viewed as a continuum along which populations diverge until they become reproductively-isolated species. However, such divergence may be heterogeneous, proceeding in fits and bursts, rather than being uniform and gradual. We show in Timema stick insects that one component of reproductive isolation evolves non-uniformly across this continuum, whereas another does not. Specifically, we use thousands of host-preference and mating trials to study habitat and sexual isolation among 42 pairs of taxa spanning a range of genomic differentiation and divergence time. We find that habitat isolation is uncoupled from genomic differentiation within species, but accumulates linearly with it between species. In contrast, sexual isolation accumulates linearly across the speciation continuum, and thus exhibits similar dynamics to morphological traits not implicated in reproductive isolation. The results show different evolutionary dynamics for different components of reproductive isolation and highlight a special relevance for species status in the process of speciation.
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Affiliation(s)
- Patrik Nosil
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | | | - Daniel J Funk
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
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35
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Stanojković A, Skoupý S, Johannesson H, Dvořák P. The global speciation continuum of the cyanobacterium Microcoleus. Nat Commun 2024; 15:2122. [PMID: 38459017 PMCID: PMC10923798 DOI: 10.1038/s41467-024-46459-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 02/27/2024] [Indexed: 03/10/2024] Open
Abstract
Speciation is a continuous process driven by genetic, geographic, and ecological barriers to gene flow. It is widely investigated in multicellular eukaryotes, yet we are only beginning to comprehend the relative importance of mechanisms driving the emergence of barriers to gene flow in microbial populations. Here, we explored the diversification of the nearly ubiquitous soil cyanobacterium Microcoleus. Our dataset consisted of 291 genomes, of which 202 strains and eight herbarium specimens were sequenced for this study. We found that Microcoleus represents a global speciation continuum of at least 12 lineages, which radiated during Eocene/Oligocene aridification and exhibit varying degrees of divergence and gene flow. The lineage divergence has been driven by selection, geographical distance, and the environment. Evidence of genetic divergence and selection was widespread across the genome, but we identified regions of exceptional differentiation containing candidate genes associated with stress response and biosynthesis of secondary metabolites.
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Affiliation(s)
- Aleksandar Stanojković
- Palacký University Olomouc, Faculty of Sciences, Department of Botany, Olomouc, Czech Republic
| | - Svatopluk Skoupý
- Palacký University Olomouc, Faculty of Sciences, Department of Botany, Olomouc, Czech Republic
| | - Hanna Johannesson
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
- The Royal Swedish Academy of Sciences, Stockholm, Sweden
| | - Petr Dvořák
- Palacký University Olomouc, Faculty of Sciences, Department of Botany, Olomouc, Czech Republic.
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Zhang C, Liu H, Huang X, Yuan Z, Zhang S, Xu S, Liu J, Wang Y, Wang D, Hu J. Comparative Analysis of the Systematics and Evolution of the Pampus Genus of Fish (Perciformes: Stromateidae) Based on Osteology, Population Genetics and Complete Mitogenomes. Animals (Basel) 2024; 14:814. [PMID: 38473197 DOI: 10.3390/ani14050814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/20/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024] Open
Abstract
Pampus is a widespread species of fish in the western Pacific and Indian Oceans that has significant commercial worth. Its evolutionary history and phylogenetics are still poorly understood, and details on its intraspecific taxonomy are debatable, despite some morphological and molecular research. Here, we analyzed this species using skeletal structure data as well as nuclear (S7 gene) and mitochondrial genetic information (COI, D-loop and mitogenomes). We found that the genetic distance between P. argenteus and P. echinogaster was much smaller than that between other Pampus species, and both maximum likelihood and Bayesian phylogenetic trees yielded almost identical tree topologies. An additional and adjacent M repeat was found in the downstream region of the IQM gene cluster of P. argenteus and P. echinogaster, and the trnL2 gene of P. minor was translocated. The genus Pampus experienced early rapid radiation during the Palaeocene with major lineages diversifying within a relatively narrow timescale. Additionally, three different methods were conducted to distinguish the genus Pampus species, proving that P. argenteus and P. echinogaster are the same species, and P. liuorum is speculated to be a valid species. Overall, our study provides new insights not only into the evolutionary history of Pampus but its intraspecific taxonomy as well.
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Affiliation(s)
- Cheng Zhang
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Hanjing Liu
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Xiang Huang
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Zi Yuan
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Shun Zhang
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Shanliang Xu
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Jing Liu
- Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, and The Key Laboratory of Experimental Marine Biology, Centre for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Yajun Wang
- School of Marine Science, Ningbo University, Ningbo 315211, China
- Key Laboratory of Applied Marine Biotechnology (Ningbo University), Ministry of Education, Ningbo 315211, China
- Key Laboratory of Marine Biotechnology of Zhejiang Province, Ningbo University, Ningbo 315211, China
| | - Danli Wang
- School of Marine Science, Ningbo University, Ningbo 315211, China
| | - Jiabao Hu
- School of Marine Science, Ningbo University, Ningbo 315211, China
- Key Laboratory of Applied Marine Biotechnology (Ningbo University), Ministry of Education, Ningbo 315211, China
- Key Laboratory of Marine Biotechnology of Zhejiang Province, Ningbo University, Ningbo 315211, China
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37
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Matheson J, Masel J. Background Selection From Unlinked Sites Causes Nonindependent Evolution of Deleterious Mutations. Genome Biol Evol 2024; 16:evae050. [PMID: 38482769 PMCID: PMC10972689 DOI: 10.1093/gbe/evae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 04/01/2024] Open
Abstract
Background selection describes the reduction in neutral diversity caused by selection against deleterious alleles at other loci. It is typically assumed that the purging of deleterious alleles affects linked neutral variants, and indeed simulations typically only treat a genomic window. However, background selection at unlinked loci also depresses neutral diversity. In agreement with previous analytical approximations, in our simulations of a human-like genome with a realistically high genome-wide deleterious mutation rate, the effects of unlinked background selection exceed those of linked background selection. Background selection reduces neutral genetic diversity by a factor that is independent of census population size. Outside of genic regions, the strength of background selection increases with the mean selection coefficient, contradicting the linked theory but in agreement with the unlinked theory. Neutral diversity within genic regions is fairly independent of the strength of selection. Deleterious genetic load among haploid individuals is underdispersed, indicating nonindependent evolution of deleterious mutations. Empirical evidence for underdispersion was previously interpreted as evidence for global epistasis, but we recover it from a non-epistatic model.
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Affiliation(s)
- Joseph Matheson
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
- Department of Ecology, Behavior, and Evolution, University of California San Diego, San Diego, CA 92093, USA
| | - Joanna Masel
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
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38
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Wang S. Divergent island hybrids mixed waves of ancient gene flow. Mol Ecol 2024; 33:e17279. [PMID: 38308460 DOI: 10.1111/mec.17279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/27/2023] [Accepted: 01/12/2024] [Indexed: 02/04/2024]
Abstract
In this issue of Molecular Ecology, Salter et al. (2023) discovered that the Cuban Northern Bobwhite subspecies, Colinus virginianus cubanensis (Gould, 1850), is an ancient hybrid population formed due to historical hybridization potentially brought by waves of historical human migration. This study revealed a complex mixture of gene flow from distinct spatiotemporal origins underlying a seemingly semi-independent evolutionary trajectory. Hybridization can be more common and complex than we thought.
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Affiliation(s)
- Silu Wang
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, New York, USA
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39
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Pejhanmehr M, Kantar MB, Yorkston M, Morden CW. Population genetics of Sida fallax Walp. (Malvaceae) in the Hawaiian Islands. Front Plant Sci 2024; 15:1304078. [PMID: 38495376 PMCID: PMC10941843 DOI: 10.3389/fpls.2024.1304078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 02/12/2024] [Indexed: 03/19/2024]
Abstract
Introduction Sida fallax (Malvaceae) is the most widespread and variable taxon of Malvaceae in the Hawaiian Islands, growing with a diversity of morphological forms in different habitats including Midway Atoll, Nihoa, and all the main islands. Morphological variation exists within and among populations. The study aimed to investigate the genetic variation within and among populations from various habitats and geographic locations throughout the Hawaiian range of S. fallax. Methods A total of 124 samples, with up to five samples per population where possible, were collected from 26 populations across six of the main Hawaiian Islands (Kaua'i, O'ahu, Maui, Moloka'i, Lāna'i, and Hawai'i) and Nihoa in the Northwestern Hawaiian Islands. The sampling strategy encompassed collecting populations from different habitats and geographic locations, including coastal and mountain ecotypes, with many intermediate morphological forms. Multiplexed ISSR genotyping by sequencing (MIG-seq) was used to detect single nucleotide polymorphisms (SNP) and genetic differences among individuals and populations were evaluated using PCO analyses. Results The relationship of FST with the geographical distance between the populations was assessed using the Mantel test. The results showed that populations on a single island were more closely related to each other and to populations on islands within their respective groups than they were to populations on other islands. Discussion The overall genetic relationships among islands were, to a large extent, predictive based on island position within the chain and, to a lesser extent, within island topography.
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Affiliation(s)
| | - Michael Benjamin Kantar
- Department of Tropical Plant and Soil Sciences, University of Hawaiʻi, Honolulu, HI, United States
| | - Mitsuko Yorkston
- School of Life Sciences, University of Hawaiʻi, Honolulu, HI, United States
| | - Clifford W. Morden
- School of Life Sciences, University of Hawaiʻi, Honolulu, HI, United States
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40
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Holzschuh A, Ewnetu Y, Carlier L, Lerch A, Gerlovina I, Baker SC, Yewhalaw D, Haileselassie W, Berhane N, Lemma W, Koepfli C. Plasmodium falciparum transmission in the highlands of Ethiopia is driven by closely related and clonal parasites. Mol Ecol 2024; 33:e17292. [PMID: 38339833 DOI: 10.1111/mec.17292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/28/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
Malaria cases are frequently recorded in the Ethiopian highlands even at altitudes above 2000 m. The epidemiology of malaria in the Ethiopian highlands, and, in particular, the role of importation by human migration from the highly endemic lowlands is not well understood. We sequenced 187 Plasmodium falciparum samples from two sites in the Ethiopian highlands, Gondar (n = 159) and Ziway (n = 28), using a multiplexed droplet digital PCR (ddPCR)-based amplicon sequencing method targeting 35 microhaplotypes and drug resistance loci. Here, we characterize the parasite population structure and genetic relatedness. We identify moderate parasite diversity (mean HE : 0.54) and low infection complexity (74.9% monoclonal). A significant percentage of infections share microhaplotypes, even across transmission seasons and sites, indicating persistent local transmission. We identify multiple clusters of clonal or near-clonal infections, highlighting high genetic relatedness. Only 6.3% of individuals diagnosed with P. falciparum reported recent travel. Yet, in clonal or near-clonal clusters, infections of travellers were frequently observed first in time, suggesting that parasites may have been imported and then transmitted locally. 31.1% of infections are pfhrp2-deleted and 84.4% pfhrp3-deleted, and 28.7% have pfhrp2/3 double deletions. Parasites with pfhrp2/3 deletions and wild-type parasites are genetically distinct. Mutations associated with resistance to sulphadoxine-pyrimethamine or suggested to reduce sensitivity to lumefantrine are observed at near-fixation. In conclusion, genomic data corroborate local transmission and the importance of intensified control in the Ethiopian highlands.
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Affiliation(s)
- Aurel Holzschuh
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, USA
| | - Yalemwork Ewnetu
- Department of Medical Biotechnology, University of Gondar, Gondar, Ethiopia
| | - Lise Carlier
- Trinity Centre for Global Health, Trinity College Dublin, Dublin, Ireland
- Noul Inc., Seoul, Republic of Korea
| | - Anita Lerch
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, USA
| | - Inna Gerlovina
- Department of Medicine, Division of HIV, ID and Global Medicine, EPPIcenter Research Program, University of California, San Francisco, California, USA
| | - Sarah Cate Baker
- Trinity Centre for Global Health, Trinity College Dublin, Dublin, Ireland
| | - Delenasaw Yewhalaw
- Tropical and Infectious Disease Research Center, Jimma University, Jimma, Ethiopia
| | | | - Nega Berhane
- Department of Medical Biotechnology, University of Gondar, Gondar, Ethiopia
| | - Wossenseged Lemma
- Department of Medical Biotechnology, University of Gondar, Gondar, Ethiopia
| | - Cristian Koepfli
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, USA
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Reuber VM, Westbury MV, Rey-Iglesia A, Asefa A, Farwig N, Miehe G, Opgenoorth L, Šumbera R, Wraase L, Wube T, Lorenzen ED, Schabo DG. Topographic barriers drive the pronounced genetic subdivision of a range-limited fossorial rodent. Mol Ecol 2024; 33:e17271. [PMID: 38279205 DOI: 10.1111/mec.17271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 12/20/2023] [Accepted: 01/08/2024] [Indexed: 01/28/2024]
Abstract
Due to their limited dispersal ability, fossorial species with predominantly belowground activity usually show increased levels of population subdivision across relatively small spatial scales. This may be exacerbated in harsh mountain ecosystems, where landscape geomorphology limits species' dispersal ability and leads to small effective population sizes, making species relatively vulnerable to environmental change. To better understand the environmental drivers of species' population subdivision in remote mountain ecosystems, particularly in understudied high-elevation systems in Africa, we studied the giant root-rat (Tachyoryctes macrocephalus), a fossorial rodent confined to the afro-alpine ecosystem of the Bale Mountains in Ethiopia. Using mitochondrial and low-coverage nuclear genomes, we investigated 77 giant root-rat individuals sampled from nine localities across its entire ~1000 km2 range. Our data revealed a distinct division into a northern and southern group, with no signs of gene flow, and higher nuclear genetic diversity in the south. Landscape genetic analyses of the mitochondrial and nuclear genomes indicated that population subdivision was driven by slope and elevation differences of up to 500 m across escarpments separating the north and south, potentially reinforced by glaciation of the south during the Late Pleistocene (~42,000-16,000 years ago). Despite this landscape-scale subdivision between the north and south, weak geographic structuring of sampling localities within regions indicated gene flow across distances of at least 16 km at the local scale, suggesting high, aboveground mobility for relatively long distances. Our study highlights that despite the potential for local-scale gene flow in fossorial species, topographic barriers can result in pronounced genetic subdivision. These factors can reduce genetic variability, which should be considered when developing conservation strategies.
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Affiliation(s)
- Victoria M Reuber
- Department of Biology, Conservation Ecology, University of Marburg, Marburg, Germany
| | | | | | - Addisu Asefa
- Department of Biology, Conservation Ecology, University of Marburg, Marburg, Germany
- Ethiopian Wildlife Conservation Authority, Addis Ababa, Ethiopia
| | - Nina Farwig
- Department of Biology, Conservation Ecology, University of Marburg, Marburg, Germany
| | - Georg Miehe
- Department of Geography, Vegetation Geography, University of Marburg, Marburg, Germany
| | - Lars Opgenoorth
- Department of Biology, Plant Ecology & Geobotany, University of Marburg, Marburg, Germany
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Radim Šumbera
- Department of Zoology, University of South Bohemia, České Budějovice, Czech Republic
| | - Luise Wraase
- Department of Geography, Environmental Informatics, University of Marburg, Marburg, Germany
| | - Tilaye Wube
- Department of Zoological Sciences, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Dana G Schabo
- Department of Biology, Conservation Ecology, University of Marburg, Marburg, Germany
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Li X, Wang Y, Cai C, Ji J, Han F, Zhang L, Chen S, Zhang L, Yang Y, Tang Q, Bucher J, Wang X, Yang L, Zhuang M, Zhang K, Lv H, Bonnema G, Zhang Y, Cheng F. Large-scale gene expression alterations introduced by structural variation drive morphotype diversification in Brassica oleracea. Nat Genet 2024; 56:517-529. [PMID: 38351383 PMCID: PMC10937405 DOI: 10.1038/s41588-024-01655-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 01/03/2024] [Indexed: 02/21/2024]
Abstract
Brassica oleracea, globally cultivated for its vegetable crops, consists of very diverse morphotypes, characterized by specialized enlarged organs as harvested products. This makes B. oleracea an ideal model for studying rapid evolution and domestication. We constructed a B. oleracea pan-genome from 27 high-quality genomes representing all morphotypes and their wild relatives. We identified structural variations (SVs) among these genomes and characterized these in 704 B. oleracea accessions using graph-based genome tools. We show that SVs exert bidirectional effects on the expression of numerous genes, either suppressing through DNA methylation or promoting probably by harboring transcription factor-binding elements. The following examples illustrate the role of SVs modulating gene expression: SVs promoting BoPNY and suppressing BoCKX3 in cauliflower/broccoli, suppressing BoKAN1 and BoACS4 in cabbage and promoting BoMYBtf in ornamental kale. These results provide solid evidence for the role of SVs as dosage regulators of gene expression, driving B. oleracea domestication and diversification.
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Affiliation(s)
- Xing Li
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yong Wang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Chengcheng Cai
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Jialei Ji
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fengqing Han
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lei Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shumin Chen
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lingkui Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yinqing Yang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qi Tang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Johan Bucher
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Xuelin Wang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Limei Yang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mu Zhuang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Kang Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Honghao Lv
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Guusje Bonnema
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
| | - Yangyong Zhang
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Feng Cheng
- State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
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Muralidhar P, Coop G. Polygenic response of sex chromosomes to sexual antagonism. Evolution 2024; 78:539-554. [PMID: 38153370 PMCID: PMC10903542 DOI: 10.1093/evolut/qpad231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 11/30/2023] [Accepted: 12/22/2023] [Indexed: 12/29/2023]
Abstract
Sexual antagonism occurs when males and females differ in their phenotypic fitness optima but are constrained in their evolution to these optima because of their shared genome. The sex chromosomes, which have distinct evolutionary "interests" relative to the autosomes, are theorized to play an important role in sexually antagonistic conflict. However, the evolutionary responses of sex chromosomes and autosomes have usually been considered independently, that is, via contrasting the response of a gene located on either an X chromosome or an autosome. Here, we study the coevolutionary response of the X chromosome and autosomes to sexually antagonistic selection acting on a polygenic phenotype. We model a phenotype initially under stabilizing selection around a single optimum, followed by a sudden divergence of the male and female optima. We find that, in the absence of dosage compensation, the X chromosome promotes evolution toward the female optimum, inducing coevolutionary male-biased responses on the autosomes. Dosage compensation obscures the female-biased interests of the X, causing it to contribute equally to male and female phenotypic change. We further demonstrate that fluctuations in an adaptive landscape can generate prolonged intragenomic conflict and accentuate the differential responses of the X and autosomes to this conflict.
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Affiliation(s)
- Pavitra Muralidhar
- Center for Population Biology, University of California, Davis, CA, United States
- Department of Evolution and Ecology, University of California, Davis, CA, United States
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
| | - Graham Coop
- Center for Population Biology, University of California, Davis, CA, United States
- Department of Evolution and Ecology, University of California, Davis, CA, United States
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44
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Jay P, Aubier TG, Joron M. The interplay of local adaptation and gene flow may lead to the formation of supergenes. Mol Ecol 2024:e17297. [PMID: 38415327 DOI: 10.1111/mec.17297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 12/28/2023] [Accepted: 01/10/2024] [Indexed: 02/29/2024]
Abstract
Supergenes are genetic architectures resulting in the segregation of alternative combinations of alleles underlying complex phenotypes. The co-segregation of alleles at linked loci is often facilitated by polymorphic chromosomal rearrangements suppressing recombination locally. Supergenes are involved in many complex polymorphisms, including sexual, colour or behavioural polymorphisms in numerous plants, fungi, mammals, fish, and insects. Despite a long history of empirical and theoretical research, the formation of supergenes remains poorly understood. Here, using a two-island population genetic model, we explore how gene flow and the evolution of overdominant chromosomal inversions may jointly lead to the formation of supergenes. We show that the evolution of inversions in differentiated populations, both under disruptive selection, leads to an increase in frequency of poorly adapted, immigrant haplotypes. Indeed, rare allelic combinations, such as immigrant haplotypes, are more frequently reshuffled by recombination than common allelic combinations, and therefore benefit from the recombination suppression generated by inversions. When an inversion capturing a locally adapted haplotype spreads but is associated with a fitness cost hampering its fixation (e.g. a recessive mutation load), the maintenance of a non-inverted haplotype in the population is enhanced; under certain conditions, the immigrant haplotype persists alongside the inverted local haplotype, while the standard local haplotype disappears. This establishes a stable, local polymorphism with two non-recombining haplotypes encoding alternative adaptive strategies, that is, a supergene. These results bring new light to the importance of local adaptation, overdominance, and gene flow in the formation of supergenes and inversion polymorphisms in general.
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Affiliation(s)
- Paul Jay
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE), Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
| | - Thomas G Aubier
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, USA
- Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 - Paul Sabatier (UT3), Toulouse, France
| | - Mathieu Joron
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE), Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
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Romdhane L, Kefi S, Mezzi N, Abassi N, Jmel H, Romdhane S, Shan J, Chouchane L, Abdelhak S. Ethnic and functional differentiation of copy number polymorphisms in Tunisian and HapMap population unveils insights on genome organizational plasticity. Sci Rep 2024; 14:4654. [PMID: 38409353 PMCID: PMC10897484 DOI: 10.1038/s41598-024-54749-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/15/2024] [Indexed: 02/28/2024] Open
Abstract
Admixture mapping has been useful in identifying genetic variations linked to phenotypes, adaptation and diseases. Copy number variations (CNVs) represents genomic structural variants spanning large regions of chromosomes reaching several megabases. In this investigation, the "Canary" algorithm was applied to 102 Tunisian samples and 991 individuals from eleven HapMap III populations to genotype 1279 copy number polymorphisms (CNPs). In this present work, we investigate the Tunisian population structure using the CNP makers previously identified among Tunisian. The study revealed that Sub-Saharan African populations exhibited the highest diversity with the highest proportions of allelic CNPs. Among all the African populations, Tunisia showed the least diversity. Individual ancestry proportions computed using STRUCTURE analysis revealed a major European component among Tunisians with lesser contribution from Sub-Saharan Africa and Asia. Population structure analysis indicated the genetic proximity with Europeans and noticeable distance from the Sub-Saharan African and East Asian clusters. Seven genes harbouring Tunisian high-frequent CNPs were identified known to be associated with 9 Mendelian diseases and/or phenotypes. Functional annotation of genes under selection highlighted a noteworthy enrichment of biological processes to receptor pathway and activity as well as glutathione metabolism. Additionally, pathways of potential concern for health such as drug metabolism, infectious diseases and cancers exhibited significant enrichment. The distinctive genetic makeup of the Tunisians might have been influenced by various factors including natural selection and genetic drift, resulting in the development of distinct genetic variations playing roles in specific biological processes. Our research provides a justification for focusing on the exclusive genome organization of this population and uncovers previously overlooked elements of the genome.
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Affiliation(s)
- Lilia Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
- Department of Biology, Faculty of Sciences of Bizerte, University of Carthage, Zarzouna, Tunisia.
| | - Sameh Kefi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Nessrine Mezzi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Najla Abassi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Haifa Jmel
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Safa Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Jingxuan Shan
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Lotfi Chouchane
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Sonia Abdelhak
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
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Ming Y, Ni G. A dataset of genetic diversity studies in the China Seas. Sci Data 2024; 11:235. [PMID: 38395909 PMCID: PMC10891114 DOI: 10.1038/s41597-024-03082-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
Genetic diversity, a fundamental aspect of biodiversity, greatly influences the ecological and evolutionary characteristics of populations and species. Compiling genetic data is crucial as the initial step in comprehending and applying genetic resources; however, regional collating work is still insufficient, especially in marine ecosystems. Here, by conducting a thorough literature search and quality-control procedures, we provide a dataset of genetic diversity studies on marine species in the China Seas. The final dataset comprised a total of 746 studies (encompassing 840 data sets and 3658 populations) across 343 species from 1998 to 2022. For each data set, information including publication year, publication language, studied species, belonged taxonomic group, applied molecular markers, and sampling strategies (number of populations, total number of individuals, etc.) was collated to analyse the scope, strengths, and omissions of these works. This dataset offers a comprehensive overview of genetic diversity studies in the China Seas, which may help to adjust future research focuses, promote conservation and macrogenetics studies in this region, and also facilitate regional cooperation.
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Affiliation(s)
- Yaqian Ming
- Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao, 266003, China
| | - Gang Ni
- Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao, 266003, China.
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47
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Xin Z, Xin J, Jun L, Lan Y, Li-Xin Z, Cai-Xia L, Jiang H, Li J. Paternal genetic structure analysis of the modern Han populations based on Y-SNP and Y-STR. Yi Chuan 2024; 46:149-167. [PMID: 38340005 DOI: 10.16288/j.yczz.23-260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
The Han populations represent the largest ethnic group in China. Previous studies have primarily focused on investigating their genetic origins, migration and integration, as well as paternal genetic relationships within specific regional Han populations. However, a comprehensive analysis of the global paternal genetic structure of Han populations is lacking. In this study, we performed Y-chromosome sequencing on 362 unrelated male samples from Chinese Han individuals collected from Qinghai, Sichuan and Liaoning provinces. We then integrated relevant data from reported studies. Our final dataset comprised 1830 samples from 16 Han populations across 15 provinces in China, encompassing information on 89 Y-SNPs and 16 Y-STRs. Statistical analyses were conducted to assess Y-STR haplotype diversity (HD) and Y-SNP haplogroup frequencies. Additionally, we employed principal component analysis (PCA), phylogenetic tree and haplotype network to explore genetic differentiation within Han populations and the genetic relationships between Han populations and ethnic minorities surrounding them. Our results demonstrated that the O-M175 haplogroup represents the predominant paternal lineage in Han populations, with frequencies ranging from 60.53% (Qinghai Han) to 92.7% (Guangdong Han). Moreover, the subclades downstream of O-M175 showed distinct regional variations in their distribution patterns. The O2-M122 haplogroup was prevalent in all Han populations and demonstrated a gradual decline in frequency from north to south. Conversely, the distribution frequency of the O1b-M268 haplogroup decreased from south to north, particularly showed significant presence among Han populations in the Lingnan region. Haplogroup O1a-M119 distributed more frequently in the central Han populations. Our findings revealed that Chinese Han populations can be categorized into three subgroups: northern, central, and southern. Notably, there were significant differences among Han in Qinghai and other regions. Regarding the genetic relationships between Han populations and surrounding ethnic minorities, we observed a closer genetic affinity between different Han populations, but northern Han demonstrated a stronger relationship with the Hui ethnic group, while southern Han exhibited a closer connection with the Gelao and Li ethnic groups. In summary, this study presented a systematic analysis of haplogroup distribution, genetic substructure of Han populations and genetic relationships between Han populations and surrounding ethnic minorities based on 89 Y-SNPs and 16 Y-STRs systematically. Our research supplemented valuable insights into population genetics and forensic genetics, and provided data support for the forensic application of Y chromosome. The integration of Y-SNP haplogroups with Y-STR haplotypes offers enhanced understanding of the genetic substructure within Han populations, which holds significance for both population genetics research and forensic science applications.
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Affiliation(s)
- Zhu Xin
- Institute of Forensic Medicine, Guizhou Medical University, Guiyang 550004, China
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
| | - Jin Xin
- Public Security Department of Hainan Province, Haikou 570203, China
| | - Liu Jun
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
- Shanxi Medical University, Taiyuan 030001, China
| | - Yang Lan
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
- Shanxi Medical University, Taiyuan 030001, China
| | - Zou Li-Xin
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
- Jiangsu Normal University, Xuzhou 221116, China
| | - Li Cai-Xia
- Institute of Forensic Medicine, Guizhou Medical University, Guiyang 550004, China
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
| | - Huang Jiang
- Institute of Forensic Medicine, Guizhou Medical University, Guiyang 550004, China
| | - Jiang Li
- Key Laboratory of Forensic Genetics, Beijing Engineering Research Center of Crime Scene Evidence Examination, National Engineering Laboratory for Forensic Science, Institute of Forensic Science, Beijing 100038, China
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48
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Penske S, Küßner M, Rohrlach AB, Knipper C, Nováček J, Childebayeva A, Krause J, Haak W. Kinship practices at the early bronze age site of Leubingen in Central Germany. Sci Rep 2024; 14:3871. [PMID: 38365887 PMCID: PMC10873355 DOI: 10.1038/s41598-024-54462-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/13/2024] [Indexed: 02/18/2024] Open
Abstract
With the beginning of the Early Bronze Age in Central Europe ~ 2200 BC, a regional and supra-regional hierarchical social organization emerged with few individuals in positions of power (chiefs), set apart by rich graves with extensive burial constructions. However, the social organization and stratification within the majority of people, who represent the non-elite, remain unclear. Here, we present genome-wide data of 46 individuals from the Early Bronze Age burial ground of Leubingen in today's Germany, integrating archaeological, genetic and strontium isotope data to gain new insights into Early Bronze Age societies. We were able to reconstruct five pedigrees which constitute the members of close biological kinship groups (parents and their offspring), and also identify individuals who are not related to individuals buried at the site. Based on combined lines of evidence, we observe that the kinship structure of the burial community was predominantly patrilineal/virilocal involving female exogamy. Further, we detect a difference in the amount of grave goods among the individuals buried at Leubingen based on genetic sex, age at death and locality but see no difference in the types of grave goods.
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Affiliation(s)
- Sandra Penske
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany.
| | - Mario Küßner
- Thuringian State Office for Heritage Management and Archaeology, 99423, Weimar, Germany.
| | - Adam B Rohrlach
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, 5005, Australia
| | - Corina Knipper
- Curt-Engelhorn-Zentrum Archäometrie gGmbH, 68159, Mannheim, Germany
| | - Jan Nováček
- Thuringian State Office for Heritage Management and Archaeology, 99423, Weimar, Germany
- Institute of Anatomy and Cell Biology, University Medical Centre, Georg-August University, 37075, Göttingen, Germany
| | - Ainash Childebayeva
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany
- Department of Anthropology, University of Kansas, Lawrence, KS, 66045, USA
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103, Leipzig, Germany.
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49
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Li EZ, Nguyen TD, Tran TNA, Zupko RJ, Boni MF. Assessing emergence risk of double-resistant and triple-resistant genotypes of Plasmodium falciparum. Nat Commun 2024; 15:1390. [PMID: 38360803 PMCID: PMC10869733 DOI: 10.1038/s41467-024-45547-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 01/25/2024] [Indexed: 02/17/2024] Open
Abstract
Delaying and slowing antimalarial drug resistance evolution is a priority for malaria-endemic countries. Until novel therapies become available, the mainstay of antimalarial treatment will continue to be artemisinin-based combination therapy (ACT). Deployment of different ACTs can be optimized to minimize evolutionary pressure for drug resistance by deploying them as a set of co-equal multiple first-line therapies (MFT) rather than rotating therapies in and out of use. Here, we consider one potential detriment of MFT policies, namely, that the simultaneous deployment of multiple ACTs could drive the evolution of different resistance alleles concurrently and that these resistance alleles could then be brought together by recombination into double-resistant or triple-resistant parasites. Using an individual-based model, we compare MFT and cycling policies in malaria transmission settings ranging from 0.1% to 50% prevalence. We define a total risk measure for multi-drug resistance (MDR) by summing the area under the genotype-frequency curves (AUC) of double- and triple-resistant genotypes. When prevalence ≥ 1%, total MDR risk ranges from statistically similar to 80% lower under MFT policies than under cycling policies, irrespective of whether resistance is imported or emerges de novo. At 0.1% prevalence, there is little statistical difference in MDR risk between MFT and cycling.
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Affiliation(s)
- Eric Zhewen Li
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Tran Dang Nguyen
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Thu Nguyen-Anh Tran
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Robert J Zupko
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Maciej F Boni
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
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50
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Soares LS, Freitas LB. The phylogeographic journey of a plant species from lowland to highlands during the Pleistocene. Sci Rep 2024; 14:3825. [PMID: 38360894 PMCID: PMC10869790 DOI: 10.1038/s41598-024-53414-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/31/2024] [Indexed: 02/17/2024] Open
Abstract
Phylogeographic history refers to how species evolve and diversify in response to historical, ecological, and demographic factors. The climate fluctuation during the Pleistocene period marked a crucial time in shaping many species' distribution and genetic structure, particularly those from southern South American grasslands. This work investigated the phylogeographic history of a highland grassland, Petunia altiplana T. Ando & Hashim. (Solanaceae), its diversity, and geographic distribution using a population genomic approach based on RAD-seq data. Our results indicated that, during the Pleistocene, when the grasslands expanded to highlands, the lowland populations of P. altiplana reached the higher open fields, enlarging their geographic distribution. We found that the P. altiplana genetic diversity followed the geographic division into eastern (E) and western (WE) population groups, with a subtle division in the E group regarding the Pelotas River headwater. The results also showed that isolation by distance was the main divergence pattern, with elevation playing a pivotal role in shaping WE and E groups. Our findings indicated that lowland-adapted populations quickly colonized highlands during the late Pleistocene.
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Affiliation(s)
- Luana Sousa Soares
- Department of Genetics, Universidade Federal do Rio Grande do Sul, PoBox 15053, Porto Alegre, 91501-970, Brazil
| | - Loreta B Freitas
- Department of Genetics, Universidade Federal do Rio Grande do Sul, PoBox 15053, Porto Alegre, 91501-970, Brazil.
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