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Hemstrom W, Grummer JA, Luikart G, Christie MR. Next-generation data filtering in the genomics era. Nat Rev Genet 2024:10.1038/s41576-024-00738-6. [PMID: 38877133 DOI: 10.1038/s41576-024-00738-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 06/16/2024]
Abstract
Genomic data are ubiquitous across disciplines, from agriculture to biodiversity, ecology, evolution and human health. However, these datasets often contain noise or errors and are missing information that can affect the accuracy and reliability of subsequent computational analyses and conclusions. A key step in genomic data analysis is filtering - removing sequencing bases, reads, genetic variants and/or individuals from a dataset - to improve data quality for downstream analyses. Researchers are confronted with a multitude of choices when filtering genomic data; they must choose which filters to apply and select appropriate thresholds. To help usher in the next generation of genomic data filtering, we review and suggest best practices to improve the implementation, reproducibility and reporting standards for filter types and thresholds commonly applied to genomic datasets. We focus mainly on filters for minor allele frequency, missing data per individual or per locus, linkage disequilibrium and Hardy-Weinberg deviations. Using simulated and empirical datasets, we illustrate the large effects of different filtering thresholds on common population genetics statistics, such as Tajima's D value, population differentiation (FST), nucleotide diversity (π) and effective population size (Ne).
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Affiliation(s)
- William Hemstrom
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
| | - Jared A Grummer
- Flathead Lake Biological Station, Wildlife Biology Program and Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Gordon Luikart
- Flathead Lake Biological Station, Wildlife Biology Program and Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Mark R Christie
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA.
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2
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Sapula SA, Hart BJ, Siderius NL, Amsalu A, Blaikie JM, Venter H. Multidrug-resistant Stenotrophomonas maltophilia in residential aged care facilities: An emerging threat. Microbiologyopen 2024; 13:e1409. [PMID: 38682784 PMCID: PMC11057060 DOI: 10.1002/mbo3.1409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/20/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024] Open
Abstract
Stenotrophomonas maltophilia is a multidrug-resistant (MDR), Gram-negative bacterium intrinsically resistant to beta-lactams, including last-resort carbapenems. As an opportunistic pathogen, it can cause serious healthcare-related infections. This study assesses the prevalence, resistance profiles, and genetic diversity of S. maltophilia isolated from residential aged care facilities (RACFs). RACFs are known for their overuse and often inappropriate use of antibiotics, creating a strong selective environment that favors the development of bacterial resistance. The study was conducted on 73 S. maltophilia isolates recovered from wastewater and facility swab samples obtained from three RACFs and a retirement village. Phenotypic and genotypic assessments of the isolates revealed high carbapenem resistance, exemplifying their intrinsic beta-lactam resistance. Alarmingly, 49.3% (36/73) of the isolates were non-wild type for colistin, with minimum inhibitory concentration values of > 4 mg/L, and 11.0% (8/73) were resistant to trimethoprim-sulfamethoxazole. No resistance mechanisms were detected for either antimicrobial. Genotypic assessment of known lineages revealed isolates clustering with Sm17 and Sm18, lineages not previously reported in Australia, suggesting the potential ongoing spread of MDR S. maltophilia. Lastly, although only a few isolates were biocide tolerant (2.7%, 2/73), their ability to grow in high concentrations (64 mg/L) of triclosan is concerning, as it may be selecting for their survival and continued dissemination.
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Affiliation(s)
- Sylvia A. Sapula
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Bradley J. Hart
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Naomi L. Siderius
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Anteneh Amsalu
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- Department of Medical MicrobiologyUniversity of GondarGondarEthiopia
| | - Jack M. Blaikie
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Henrietta Venter
- Health and Biomedical Innovation, UniSA Clinical and Health SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
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3
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Tomlin CM, Rajaraman S, Sebesta JT, Scheen AC, Bendiksby M, Low YW, Salojärvi J, Michael TP, Albert VA, Lindqvist C. Allopolyploid origin and diversification of the Hawaiian endemic mints. Nat Commun 2024; 15:3109. [PMID: 38600100 PMCID: PMC11006916 DOI: 10.1038/s41467-024-47247-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 03/26/2024] [Indexed: 04/12/2024] Open
Abstract
Island systems provide important contexts for studying processes underlying lineage migration, species diversification, and organismal extinction. The Hawaiian endemic mints (Lamiaceae family) are the second largest plant radiation on the isolated Hawaiian Islands. We generated a chromosome-scale reference genome for one Hawaiian species, Stenogyne calaminthoides, and resequenced 45 relatives, representing 34 species, to uncover the continental origins of this group and their subsequent diversification. We further resequenced 109 individuals of two Stenogyne species, and their purported hybrids, found high on the Mauna Kea volcano on the island of Hawai'i. The three distinct Hawaiian genera, Haplostachys, Phyllostegia, and Stenogyne, are nested inside a fourth genus, Stachys. We uncovered four independent polyploidy events within Stachys, including one allopolyploidy event underlying the Hawaiian mints and their direct western North American ancestors. While the Hawaiian taxa may have principally diversified by parapatry and drift in small and fragmented populations, localized admixture may have played an important role early in lineage diversification. Our genomic analyses provide a view into how organisms may have radiated on isolated island chains, settings that provided one of the principal natural laboratories for Darwin's thinking about the evolutionary process.
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Affiliation(s)
- Crystal M Tomlin
- Department of Biological Sciences, University at Buffalo, New York, USA
| | - Sitaram Rajaraman
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | | | | | - Mika Bendiksby
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Yee Wen Low
- Singapore Botanic Gardens, National Parks Board, Singapore, Singapore
| | - Jarkko Salojärvi
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Todd P Michael
- The Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, California, USA
| | - Victor A Albert
- Department of Biological Sciences, University at Buffalo, New York, USA.
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4
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Ramu P, Srivastava RK, Sanyal A, Fengler K, Cao J, Zhang Y, Nimkar M, Gerke J, Shreedharan S, Llaca V, May G, Peterson-Burch B, Lin H, King M, Das S, Bhupesh V, Mandaokar A, Maruthachalam K, Krishnamurthy P, Gandhi H, Rathore A, Gupta R, Chitikineni A, Bajaj P, Gupta SK, Satyavathi CT, Pandravada A, Varshney RK, Babu R. Improved pearl millet genomes representing the global heterotic pool offer a framework for molecular breeding applications. Commun Biol 2023; 6:902. [PMID: 37667032 PMCID: PMC10477261 DOI: 10.1038/s42003-023-05258-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/18/2023] [Indexed: 09/06/2023] Open
Abstract
High-quality reference genome assemblies, representative of global heterotic patterns, offer an ideal platform to accurately characterize and utilize genetic variation in the primary gene pool of hybrid crops. Here we report three platinum grade de-novo, near gap-free, chromosome-level reference genome assemblies from the active breeding germplasm in pearl millet with a high degree of contiguity, completeness, and accuracy. An improved Tift genome (Tift23D2B1-P1-P5) assembly has a contig N50 ~ 7,000-fold (126 Mb) compared to the previous version and better alignment in centromeric regions. Comparative genome analyses of these three lines clearly demonstrate a high level of collinearity and multiple structural variations, including inversions greater than 1 Mb. Differential genes in improved Tift genome are enriched for serine O-acetyltransferase and glycerol-3-phosphate metabolic process which play an important role in improving the nutritional quality of seed protein and disease resistance in plants, respectively. Multiple marker-trait associations are identified for a range of agronomic traits, including grain yield through genome-wide association study. Improved genome assemblies and marker resources developed in this study provide a comprehensive framework/platform for future applications such as marker-assisted selection of mono/oligogenic traits as well as whole-genome prediction and haplotype-based breeding of complex traits.
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Affiliation(s)
- Punna Ramu
- Corteva Agriscience, Hyderabad, Telangana, India
| | - Rakesh K Srivastava
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India.
| | | | | | - Jun Cao
- Corteva Agriscience, Johnston, IA, 50131, USA
| | - Yun Zhang
- Corteva Agriscience, Johnston, IA, 50131, USA
| | | | | | | | | | - Gregory May
- Corteva Agriscience, Johnston, IA, 50131, USA
| | | | - Haining Lin
- Corteva Agriscience, Johnston, IA, 50131, USA
- Moderna, 200 Technology Square, Cambridge, MA, 02139, USA
| | - Matthew King
- Corteva Agriscience, Johnston, IA, 50131, USA
- Natera Inc, San Carlos, CA, 94070, USA
| | - Sayan Das
- Corteva Agriscience, Hyderabad, Telangana, India
| | - Vaid Bhupesh
- Corteva Agriscience, Hyderabad, Telangana, India
| | | | | | | | - Harish Gandhi
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
- International Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya
| | - Abhishek Rathore
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
- International Maize and Wheat Improvement Center (CIMMYT), Hyderabad, India
| | - Rajeev Gupta
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND, 58102, USA
| | - Annapurna Chitikineni
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia
| | - Prasad Bajaj
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
| | - S K Gupta
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India
| | - C Tara Satyavathi
- Indian Council of Agricultural Research - All India Coordinated Research Project on Pearl Millet, Jodhpur, India
| | | | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India.
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
| | - Raman Babu
- Corteva Agriscience, Hyderabad, Telangana, India.
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5
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Nema S, Krishna S, Tiwari A, Bharti PK. Limited genetic diversity and expression profile of Plasmodium falciparum haem detoxification protein: a possible diagnostic target. Trans R Soc Trop Med Hyg 2022; 116:1162-1171. [PMID: 35724244 DOI: 10.1093/trstmh/trac055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 05/11/2022] [Accepted: 05/21/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Haem detoxification protein (HDP) is a significant protein in the erythrocytic stage of the Plasmodium lifecycle. HDP could be of paramount interest as a diagnostic biomarker for accurate diagnosis of malaria. We thus explored HDP genetic variation, expression levels of HDP and immune response. METHODS Phylogenetic analysis was carried out using Pfhdp orthologues sequences of various Plasmodium species. Blood samples were collected from patients in central India. Pfhdp gene was amplified, and sequenced by sanger DNA sequencing. B-cell epitopes were identified in PfHDP using Bepipred Linear Epitope Prediction 2.0, and median-joining network was constructed using global PfHDP sequences. Pfhdp expression levels during erythrocytic stage were assessed using real-time qPCR at 4-h intervals. An IgG immune response against synthetic PfHDP peptides was analysed using ELISA. RESULTS Phylogenetic analysis revealed the conserved nature of Pfhdp gene. Diversity analysis revealed one non-synonymous mutation (F91L) among all isolates. Neutrality tests indicated negative selection for Pfhdp gene. HDP was expressed throughout the erythrocytic cycle, and comparatively, high expression was observed in the late trophozoite and schizont stages. High IgG response against both peptides was observed, and no polymorphism was seen in any of the seven predicted B-cell epitopes. CONCLUSIONS Findings of the present study indicate the possibility of HDP being exploited as a diagnostic biomarker for Plasmodium falciparum malaria after proteomic validation studies.
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Affiliation(s)
- Shrikant Nema
- Division of Vector-Borne Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur 482 003, Madhya Pradesh, India.,School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technological University of Madhya Pradesh), Bhopal, 462 023, Madhya Pradesh, India
| | - Sri Krishna
- Division of Vector-Borne Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur 482 003, Madhya Pradesh, India
| | - Archana Tiwari
- School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technological University of Madhya Pradesh), Bhopal, 462 023, Madhya Pradesh, India
| | - Praveen Kumar Bharti
- Division of Vector-Borne Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur 482 003, Madhya Pradesh, India
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6
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Abrouk M, Ahmed HI, Cubry P, Šimoníková D, Cauet S, Pailles Y, Bettgenhaeuser J, Gapa L, Scarcelli N, Couderc M, Zekraoui L, Kathiresan N, Čížková J, Hřibová E, Doležel J, Arribat S, Bergès H, Wieringa JJ, Gueye M, Kane NA, Leclerc C, Causse S, Vancoppenolle S, Billot C, Wicker T, Vigouroux Y, Barnaud A, Krattinger SG. Fonio millet genome unlocks African orphan crop diversity for agriculture in a changing climate. Nat Commun 2020; 11:4488. [PMID: 32901040 DOI: 10.1101/2020.04.11.037671] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/16/2020] [Indexed: 05/28/2023] Open
Abstract
Sustainable food production in the context of climate change necessitates diversification of agriculture and a more efficient utilization of plant genetic resources. Fonio millet (Digitaria exilis) is an orphan African cereal crop with a great potential for dryland agriculture. Here, we establish high-quality genomic resources to facilitate fonio improvement through molecular breeding. These include a chromosome-scale reference assembly and deep re-sequencing of 183 cultivated and wild Digitaria accessions, enabling insights into genetic diversity, population structure, and domestication. Fonio diversity is shaped by climatic, geographic, and ethnolinguistic factors. Two genes associated with seed size and shattering showed signatures of selection. Most known domestication genes from other cereal models however have not experienced strong selection in fonio, providing direct targets to rapidly improve this crop for agriculture in hot and dry environments.
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Affiliation(s)
- Michael Abrouk
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Hanin Ibrahim Ahmed
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | - Denisa Šimoníková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | | | - Yveline Pailles
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Jan Bettgenhaeuser
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Liubov Gapa
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | | | | | - Nagarajan Kathiresan
- Supercomputing Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Jana Čížková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Eva Hřibová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | | | - Hélène Bergès
- CNRGV Plant Genomics Center, INRAE, Toulouse, France
- Inari Agriculture, One Kendall Square Building 600/700, Cambridge, MA, 02139, USA
| | | | - Mathieu Gueye
- Laboratoire de Botanique, Département de Botanique et Géologie, IFAN Ch. A. Diop/UCAD, Dakar, Senegal
| | - Ndjido A Kane
- Senegalese Agricultural Research Institute, Dakar, Senegal
- Laboratoire Mixte International LAPSE, Dakar, Senegal
| | - Christian Leclerc
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Sandrine Causse
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Sylvie Vancoppenolle
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Claire Billot
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zürich, Switzerland
| | | | - Adeline Barnaud
- DIADE, Univ Montpellier, IRD, Montpellier, France.
- Laboratoire Mixte International LAPSE, Dakar, Senegal.
| | - Simon G Krattinger
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
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7
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Abrouk M, Ahmed HI, Cubry P, Šimoníková D, Cauet S, Pailles Y, Bettgenhaeuser J, Gapa L, Scarcelli N, Couderc M, Zekraoui L, Kathiresan N, Čížková J, Hřibová E, Doležel J, Arribat S, Bergès H, Wieringa JJ, Gueye M, Kane NA, Leclerc C, Causse S, Vancoppenolle S, Billot C, Wicker T, Vigouroux Y, Barnaud A, Krattinger SG. Fonio millet genome unlocks African orphan crop diversity for agriculture in a changing climate. Nat Commun 2020; 11:4488. [PMID: 32901040 PMCID: PMC7479619 DOI: 10.1038/s41467-020-18329-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/16/2020] [Indexed: 01/24/2023] Open
Abstract
Sustainable food production in the context of climate change necessitates diversification of agriculture and a more efficient utilization of plant genetic resources. Fonio millet (Digitaria exilis) is an orphan African cereal crop with a great potential for dryland agriculture. Here, we establish high-quality genomic resources to facilitate fonio improvement through molecular breeding. These include a chromosome-scale reference assembly and deep re-sequencing of 183 cultivated and wild Digitaria accessions, enabling insights into genetic diversity, population structure, and domestication. Fonio diversity is shaped by climatic, geographic, and ethnolinguistic factors. Two genes associated with seed size and shattering showed signatures of selection. Most known domestication genes from other cereal models however have not experienced strong selection in fonio, providing direct targets to rapidly improve this crop for agriculture in hot and dry environments.
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Affiliation(s)
- Michael Abrouk
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Hanin Ibrahim Ahmed
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | - Denisa Šimoníková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | | | - Yveline Pailles
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Jan Bettgenhaeuser
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Liubov Gapa
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | | | | | - Nagarajan Kathiresan
- Supercomputing Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Jana Čížková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Eva Hřibová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | | | - Hélène Bergès
- CNRGV Plant Genomics Center, INRAE, Toulouse, France
- Inari Agriculture, One Kendall Square Building 600/700, Cambridge, MA, 02139, USA
| | | | - Mathieu Gueye
- Laboratoire de Botanique, Département de Botanique et Géologie, IFAN Ch. A. Diop/UCAD, Dakar, Senegal
| | - Ndjido A Kane
- Senegalese Agricultural Research Institute, Dakar, Senegal
- Laboratoire Mixte International LAPSE, Dakar, Senegal
| | - Christian Leclerc
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Sandrine Causse
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Sylvie Vancoppenolle
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Claire Billot
- CIRAD, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Cirad, INRAE, Institut Agro, Montpellier, France
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zürich, Switzerland
| | | | - Adeline Barnaud
- DIADE, Univ Montpellier, IRD, Montpellier, France.
- Laboratoire Mixte International LAPSE, Dakar, Senegal.
| | - Simon G Krattinger
- Center for Desert Agriculture, Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
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8
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Rougemont Q, Moore JS, Leroy T, Normandeau E, Rondeau EB, Withler RE, Van Doornik DM, Crane PA, Naish KA, Garza JC, Beacham TD, Koop BF, Bernatchez L. Demographic history shaped geographical patterns of deleterious mutation load in a broadly distributed Pacific Salmon. PLoS Genet 2020; 16:e1008348. [PMID: 32845885 PMCID: PMC7478589 DOI: 10.1371/journal.pgen.1008348] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 09/08/2020] [Accepted: 06/24/2020] [Indexed: 12/24/2022] Open
Abstract
A thorough reconstruction of historical processes is essential for a comprehensive understanding of the mechanisms shaping patterns of genetic diversity. Indeed, past and current conditions influencing effective population size have important evolutionary implications for the efficacy of selection, increased accumulation of deleterious mutations, and loss of adaptive potential. Here, we gather extensive genome-wide data that represent the extant diversity of the Coho salmon (Oncorhynchus kisutch) to address two objectives. We demonstrate that a single glacial refugium is the source of most of the present-day genetic diversity, with detectable inputs from a putative secondary micro-refugium. We found statistical support for a scenario whereby ancestral populations located south of the ice sheets expanded recently, swamping out most of the diversity from other putative micro-refugia. Demographic inferences revealed that genetic diversity was also affected by linked selection in large parts of the genome. Moreover, we demonstrate that the recent demographic history of this species generated regional differences in the load of deleterious mutations among populations, a finding that mirrors recent results from human populations and provides increased support for models of expansion load. We propose that insights from these historical inferences should be better integrated in conservation planning of wild organisms, which currently focuses largely on neutral genetic diversity and local adaptation, with the role of potentially maladaptive variation being generally ignored. Reconstruction of a species’ past demographic history from genetic data can highlight historical factors that have shaped the distribution of genetic diversity along its genome and its geographic range. Here, we combine genotyping-by-sequencing with demographic modelling to address these issues in the Coho salmon, a Pacific salmon of conservation concern in some parts of its range, notably in the south. Our demographic reconstructions reveal a linear decrease in genetic diversity toward the north of the species range, supporting the hypothesis of a northern route of postglacial recolonization from a single major southern refugium. As predicted by theory, we also observed a higher proportion of deleterious mutations in the most distant populations from this refugium. Beyond this general pattern, among-site variation in the proportion of deleterious mutations is consistent with different local trends in effective population sizes. Our results highlight the potential importance of understanding historical factors that have shaped geographic patterns of the distribution of deleterious mutations in order to implement effective management programs for the conservation of wild populations. Such fundamental knowledge of human historical demography is now having major impacts on health sciences, and we argue it is time to integrate such approaches in conservation science as well.
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Affiliation(s)
- Quentin Rougemont
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
- * E-mail:
| | - Jean-Sébastien Moore
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
| | - Thibault Leroy
- ISEM, Univ. Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Department of Botany & Biodiversity Research, University of Vienna, Vienna, Austria
| | - Eric Normandeau
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
| | - Eric B. Rondeau
- Centre for Biomedical Research, University of Victoria, Victoria, BC, Canada
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Ruth E. Withler
- Department of Fisheries and Ocean, Pacific Biological Station, Nanaimo, British Columbia, Canada
| | - Donald M. Van Doornik
- National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northwest Fisheries Science Center, Manchester Research Station, Port Orchard, Washington, United States of America
| | - Penelope A. Crane
- Conservation Genetics Laboratory, U.S. Fish and Wildlife Service, Anchorage, Alaska, United States of America
| | - Kerry A. Naish
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, United States of America
| | - John Carlos Garza
- Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service and Institute of Marine Sciences, University of California–Santa Cruz, Santa Cruz, California, United States of America
| | - Terry D. Beacham
- Department of Fisheries and Ocean, Pacific Biological Station, Nanaimo, British Columbia, Canada
| | - Ben F. Koop
- Centre for Biomedical Research, University of Victoria, Victoria, BC, Canada
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Louis Bernatchez
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
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9
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Winkler DE, Chapin KJ, François O, Garmon JD, Gaut BS, Huxman TE. Multiple introductions and population structure during the rapid expansion of the invasive Sahara mustard ( Brassica tournefortii). Ecol Evol 2019; 9:7928-7941. [PMID: 31380061 PMCID: PMC6662425 DOI: 10.1002/ece3.5239] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 04/13/2019] [Accepted: 04/14/2019] [Indexed: 12/23/2022] Open
Abstract
The specific mechanisms that result in the success of any species invasion case are difficult to document. Reproductive strategies are often cited as a primary driver of invasive success, with human activities further facilitating invasions by, for example, acting as seed vectors for dispersal via road, train, air, and marine traffic, and by producing efficient corridors for movement including canals, drainages, and roadways. Sahara mustard (Brassica tournefortii) is a facultative autogamous annual native to Eurasia that has rapidly invaded the southwestern United States within the past century, displacing natives, and altering water-limited landscapes in the southwest. We used a genotyping-by-sequencing approach to study the population structure and spatial geography of Sahara mustard from 744 individuals from 52 sites across the range of the species' invasion. We also used herbaria records to model range expansion since its initial introduction in the 1920s. We found that Sahara mustard occurs as three populations in the United States unstructured by geography, identified three introduction sites, and combined herbaria records with genomic analyses to map the spread of the species. Low genetic diversity and linkage disequilibrium are consistent with self-fertilization, which likely promoted rapid invasive spread. Overall, we found that Sahara mustard experienced atypical expansion patterns, with a relatively constant rate of expansion and without the lag phase that is typical of many invasive species.
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Affiliation(s)
- Daniel E. Winkler
- Department of Ecology and Evolutionary BiologyUniversity of California, IrvineIrvineCalifornia
- U.S. Geological SurveySouthwest Biological Science CenterMoabUtah
| | - Kenneth J. Chapin
- Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesCalifornia
- Department of Ecology and Evolutionary BiologyUniversity of ArizonaTucsonArizona
| | | | | | - Brandon S. Gaut
- Department of Ecology and Evolutionary BiologyUniversity of California, IrvineIrvineCalifornia
| | - Travis E. Huxman
- Department of Ecology and Evolutionary BiologyUniversity of California, IrvineIrvineCalifornia
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10
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Scarcelli N, Cubry P, Akakpo R, Thuillet AC, Obidiegwu J, Baco MN, Otoo E, Sonké B, Dansi A, Djedatin G, Mariac C, Couderc M, Causse S, Alix K, Chaïr H, François O, Vigouroux Y. Yam genomics supports West Africa as a major cradle of crop domestication. SCIENCE ADVANCES 2019; 5:eaaw1947. [PMID: 31114806 PMCID: PMC6527260 DOI: 10.1126/sciadv.aaw1947] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 03/15/2019] [Indexed: 05/24/2023]
Abstract
While there has been progress in our understanding of the origin and history of agriculture in sub-Saharan Africa, a unified perspective is still lacking on where and how major crops were domesticated in the region. Here, we investigated the domestication of African yam (Dioscorea rotundata), a key crop in early African agriculture. Using whole-genome resequencing and statistical models, we show that cultivated yam was domesticated from a forest species. We infer that the expansion of African yam agriculture started in the Niger River basin. This result, alongside with the origins of African rice and pearl millet, supports the hypothesis that the vicinity of the Niger River was a major cradle of African agriculture.
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Affiliation(s)
| | | | | | | | - Jude Obidiegwu
- National Root Crops Research Institute, Umudike, PMB 7006, Umuahia, Abia State, Nigeria
| | | | - Emmanuel Otoo
- CSIR-Crops Research Institute, P.O. Box 3785, Fumesua-Kumasi, Ghana
| | - Bonaventure Sonké
- University of Yaoundé I, Laboratory of Plant Systematics and Ecology, P.O. Box 047, Yaoundé, Cameroon
| | - Alexandre Dansi
- National University of Sciences, Technologies, Engineering and Mathematics of Abomey, Laboratory BIORAVE, Dassa-Zoumè, Benin
| | - Gustave Djedatin
- National University of Sciences, Technologies, Engineering and Mathematics of Abomey, Laboratory BIORAVE, Dassa-Zoumè, Benin
| | | | | | - Sandrine Causse
- Cirad UMR AGAP, F-34398 Montpellier, France
- University Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Karine Alix
- GQE–Le Moulon, INRA, Univ Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Hâna Chaïr
- Cirad UMR AGAP, F-34398 Montpellier, France
- University Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Olivier François
- University Grenoble-Alpes, Grenoble INP, TIMC-IMAG CNRS UMR 5525, 38042 Grenoble Cedex, France
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11
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O'Leary SJ, Puritz JB, Willis SC, Hollenbeck CM, Portnoy DS. These aren't the loci you'e looking for: Principles of effective SNP filtering for molecular ecologists. Mol Ecol 2018; 27:3193-3206. [PMID: 29987880 DOI: 10.1111/mec.14792] [Citation(s) in RCA: 170] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/23/2018] [Accepted: 06/26/2018] [Indexed: 12/16/2022]
Abstract
Sequencing reduced-representation libraries of restriction site-associated DNA (RADseq) to identify single nucleotide polymorphisms (SNPs) is quickly becoming a standard methodology for molecular ecologists. Because of the scale of RADseq data sets, putative loci cannot be assessed individually, making the process of filtering noise and correctly identifying biologically meaningful signal more difficult. Artefacts introduced during library preparation and/or bioinformatic processing of SNP data can create patterns that are incorrectly interpreted as indicative of population structure or natural selection. Therefore, it is crucial to carefully consider types of errors that may be introduced during laboratory work and data processing, and how to minimize, detect and remove these errors. Here, we discuss issues inherent to RADseq methodologies that can result in artefacts during library preparation and locus reconstruction resulting in erroneous SNP calls and, ultimately, genotyping error. Further, we describe steps that can be implemented to create a rigorously filtered data set consisting of markers accurately representing independent loci and compare the effect of different combinations of filters on four RAD data sets. At last, we stress the importance of publishing raw sequence data along with final filtered data sets in addition to detailed documentation of filtering steps and quality control measures.
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Affiliation(s)
- Shannon J O'Leary
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
| | - Jonathan B Puritz
- Biological Sciences, University of Rhode Island, Kingston, Rhode Island
| | - Stuart C Willis
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
- Department of Ichthyology, California Academy of Sciences, San Francisco, California
| | | | - David S Portnoy
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
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12
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Cubry P, Tranchant-Dubreuil C, Thuillet AC, Monat C, Ndjiondjop MN, Labadie K, Cruaud C, Engelen S, Scarcelli N, Rhoné B, Burgarella C, Dupuy C, Larmande P, Wincker P, François O, Sabot F, Vigouroux Y. The Rise and Fall of African Rice Cultivation Revealed by Analysis of 246 New Genomes. Curr Biol 2018; 28:2274-2282.e6. [PMID: 29983312 DOI: 10.1016/j.cub.2018.05.066] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 04/10/2018] [Accepted: 05/24/2018] [Indexed: 12/23/2022]
Abstract
African rice (Oryza glaberrima) was domesticated independently from Asian rice. The geographical origin of its domestication remains elusive. Using 246 new whole-genome sequences, we inferred the cradle of its domestication to be in the Inner Niger Delta. Domestication was preceded by a sharp decline of most wild populations that started more than 10,000 years ago. The wild population collapse occurred during the drying of the Sahara. This finding supports the hypothesis that depletion of wild resources in the Sahara triggered African rice domestication. African rice cultivation strongly expanded 2,000 years ago. During the last 5 centuries, a sharp decline of its cultivation coincided with the introduction of Asian rice in Africa. A gene, PROG1, associated with an erect plant architecture phenotype, showed convergent selection in two rice cultivated species, Oryza glaberrima from Africa and Oryza sativa from Asia. In contrast, a shattering gene, SH5, showed selection signature during African rice domestication, but not during Asian rice domestication. Overall, our genomic data revealed a complex history of African rice domestication influenced by important climatic changes in the Saharan area, by the expansion of African agricultural society, and by recent replacement by another domesticated species.
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Affiliation(s)
- Philippe Cubry
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France
| | - Christine Tranchant-Dubreuil
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; SouthGreen Development Platform, Agropolis Campus, Montpellier, France
| | - Anne-Céline Thuillet
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France
| | - Cécile Monat
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; SouthGreen Development Platform, Agropolis Campus, Montpellier, France
| | | | - Karine Labadie
- CEA, Institut de Biologie François Jacob, Genoscope, 2 Rue Gaston Crémieux, 91057 Evry, France; CNRS, UMR 8030, CP5706, Evry, France; Université d'Evry, UMR 8030, CP5706, Evry, France
| | - Corinne Cruaud
- CEA, Institut de Biologie François Jacob, Genoscope, 2 Rue Gaston Crémieux, 91057 Evry, France; CNRS, UMR 8030, CP5706, Evry, France; Université d'Evry, UMR 8030, CP5706, Evry, France
| | - Stefan Engelen
- CEA, Institut de Biologie François Jacob, Genoscope, 2 Rue Gaston Crémieux, 91057 Evry, France; CNRS, UMR 8030, CP5706, Evry, France; Université d'Evry, UMR 8030, CP5706, Evry, France
| | - Nora Scarcelli
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France
| | - Bénédicte Rhoné
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Lyon, France
| | - Concetta Burgarella
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France
| | | | - Pierre Larmande
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; SouthGreen Development Platform, Agropolis Campus, Montpellier, France; Institut de Biologie Computationnelle (IBC), Université Montpellier 2, 860 Rue St Priest, 34095 Montpellier Cedex 5, France
| | - Patrick Wincker
- CEA, Institut de Biologie François Jacob, Genoscope, 2 Rue Gaston Crémieux, 91057 Evry, France; CNRS, UMR 8030, CP5706, Evry, France; Université d'Evry, UMR 8030, CP5706, Evry, France
| | - Olivier François
- Université Grenoble-Alpes, CNRS, UMR 5525 TIMC-IMAG, 38042 Grenoble, France
| | - François Sabot
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; SouthGreen Development Platform, Agropolis Campus, Montpellier, France; Université de Montpellier, Place Eugène Bataillon, 34000 Montpellier, France.
| | - Yves Vigouroux
- Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier, France; Université de Montpellier, Place Eugène Bataillon, 34000 Montpellier, France.
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