The DOI matches its Crossref record; 116 of the 118 references it cites were found in a registry or an index.
Introgression of Crop Alleles into Wild or Weedy Populations
Open accessAbstract
The evolutionary significance of introgression has been discussed for decades. Questions about potential impacts of transgene flow into wild and weedy populations brought renewed attention to the introgression of crop alleles into those populations. In the past two decades, the field has advanced with considerable descriptive, experimental, and theoretical activity on the dynamics of crop gene introgression and its consequences. As illustrated by five case studies employing an array of different approaches, introgression of crop alleles has occurred for a wide array of species, sometimes without significant consequence, but on occasion leading to the evolution of increased weediness. A new theoretical context has emerged for analyzing empirical data, identifying factors that influence introgression, and predicting introgression's progress. With emerging molecular techniques and analyses, research on crop allele introgression into wild and weedy populations is positioned to make contributions to both transgene risk assessment and reticulate evolution.
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“Gene flow from GM crops to wild or locally adapted crops could reduce biological diversity through genetic assimilation ( 108 )”
From Environmental impacts of genetically modified crops (2024) · cites this paper as [108]
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Cites
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871
EVOLUTION IN MENDELIAN POPULATIONS
Wright, S. (1931) · Genetics · doi:10.1093/genetics/16.2.97 · Cited by 9,237
A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
Elshire, R. J., Glaubitz, J. C., Sun, Q., Poland, J., Kawamoto, K., Buckler, E. S., & Mitchell, S. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019379 · Cited by 6,461
A draft sequence of the Neandertal genome
Green, R. E., Krause, J., Briggs, A. W., Maricic, T., Stenzel, U., Kircher, M., Patterson, N., Li, H., Zhai, W., Fritz, M. H.-Y., et al. (2010) · Science · doi:10.1126/science.1188021 · Cited by 4,318
Rapid SNP Discovery and Genetic Mapping Using Sequenced RAD Markers
Baird, N. A., Etter, P. D., Atwood, T. S., Currey, M. C., Shiver, A. L., Lewis, Z., Selker, E. U., Cresko, W. A., & Johnson, E. A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003376 · Cited by 3,452
Population Genetic Consequences of Small Population Size: Implications for Plant Conservation
Ellstrand, N. C., & Elam, D. R. (1993) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.24.110193.001245 · Cited by 2,649
Self-citationBayesian Inference of Recent Migration Rates Using Multilocus Genotypes
Wilson, G. A., & Rannala, B. H. (2003) · Genetics · doi:10.1093/genetics/163.3.1177 · Cited by 1,993
Indirect measures of gene flow and migration: FST≠1/(4Nm+1)
Whitlock, M. C., & McCauley, D. E. (1999) · Heredity · doi:10.1038/sj.hdy.6884960 · Cited by 1,529
A Model-Based Method for Identifying Species Hybrids Using Multilocus Genetic Data
Anderson, E. C., & Thompson, E. A. (2002) · Genetics · doi:10.1093/genetics/160.3.1217 · Cited by 1,505
New flora of the British Isles
Stace, C. A., & Thompson, H. S. (1991) · Cited by 1,444
Research works printed but not linked: 4
- James C, 2012, ISAAA Brief
- Natl. Res. Counc, 1996, Understanding Risk: Informing Decisions in a Scientific Society.
- Organ. Econ. Co-op. Dev, 1993, Safety Considerations for Biotechnology: Scale-up of Crop Plants.
- Walker RD, 2009, Hamline Law Rev., 32, 499
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Campbell, L. G., Lee, D., Shukla, K., Waite, T. A., & Bartsch, D. K. (2023) · doi:10.32920/24135159
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Teitel, Z., Klimowski, A., & Campbell, L. G. (2023) · doi:10.32920/24135141
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Rathar, G. A., Verma, R., & Sharma, B. (2023) · Wiley eBooks · doi:10.1002/9781119989318.ch19
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List of OECD consensus documents on environmental safety assessment, 1996‑2023
OECD (2023) · Harmonisation of regulatory oversight in biotechnology · doi:10.1787/48ded54b-en
OECD (2023) · Harmonisation of regulatory oversight in biotechnology · doi:10.1787/366640ae-en
OECD (2023) · Harmonisation of regulatory oversight in biotechnology · doi:10.1787/2711c3b8-en
Simard, M., Laforest, M. F., & Martin, S. L. (2025) · Weed Research · doi:10.1111/wre.70003
Birch, A. N., Casacuberta, J., De Schrijver, A., Gathmann, A., Gralak, M. A., Guerche, P., Jones, H., Manachini, B., Messéan, A., Naegeli, H., et al. (2016) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-134233
Additional file 1 of Hybrid Bt cotton is failing in India: cautions for Africa
Gutierrez, A. P., Kenmore, P. E., & Ponti, L. (2024) · Figshare · doi:10.6084/m9.figshare.26636691
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Vercellino, R. B., Hernández, F., Tillería, S. G., Simian, D., Fanna, I., & Presotto, A. (2026) · AoB Plants · doi:10.1093/aobpla/plag010
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Tillería, S. G., Presotto, A., Pandolfo, C. E., McAlvay, A. C., Emshwiller, E., Mabry, M. E., Bird, K. A., & Ureta, S. (2026) · AoB Plants · doi:10.1093/aobpla/plag018
Gauliya, K., Pathak, A., Mandal, N., Manjhi, M. K., Upadhyaya, D. C., Adit, A., & Upadhyaya, C. P. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40401-6.00004-2
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Arlinghaus, K. R., Mardonovich, S., Rocha, Ó. J., & Moore, R. C. (2026) · Genetic Resources and Crop Evolution · doi:10.21203/rs.3.rs-9890368/v1
Genomic forecasting for climate‐resilient fruit trees
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Anokye, K. (2026) · Ecological Genetics and Genomics · doi:10.1016/j.egg.2026.100540
Metadata
- Authors
- Ellstrand, N. C., Meirmans, P., Rong, J., Bartsch, D., Ghosh, A., de Jong, T. J., Haccou, P., Lu, B.-R., Snow, A. A., Neal Stewart, C., Strasburg, J. L., van Tienderen, P. H., Vrieling, K., & Hooftman, D.
- Affiliations
- University of California, Riverside (US)
- University of Amsterdam (NL)
- Nanchang University (CN)
- Federal Office of Consumer Protection and Food Safety (DE)
- Okinawa Institute of Science and Technology Graduate University (JP)
- Institute of Biology, Leiden University, 2333 BE Leiden, The Netherlands;,
- Leiden University (NL)
- Fudan University (CN)
- The Ohio State University (US)
- Department of Plant Sciences, University of Tennessee, Knoxville, Tennessee 37996;
- University of Minnesota, Duluth (US)
- Instituut voor Biodiversiteit en Ecosysteem Dynamica, Universiteit van Amsterdam, 1090 GE Amsterdam, The Netherlands;
- UK Centre for Ecology & Hydrology (GB)
- ORCID
- Venue
- Annual Review of Ecology, Evolution, and Systematics
- Publisher
- Annual Reviews
- Published
- 2013-11-23
- Volume
- 44
- Issue
- 1
- Pages
- 325-345
- ISSN
- 1543-592X (ISSN-L)
- 1545-2069
- OpenAlex
- W2121440714
- Cited by
- 233
- References
- 118
- Citations by year
- 2026: 12 · 2025: 5 · 2024: 11 · 2023: 34 · 2022: 10 · 2021: 21 · 2020: 17 · 2019: 21 · 2018: 10 · 2017: 29 · 2016: 24 · 2015: 21 · 2014: 16 · 2013: 2
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- Locations
- Annual Review of Ecology Evolution and Systematics (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- NERC Open Research Archive (Natural Environment Research Council) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Science Foundation (1020799)
- U.S. Department of Agriculture
- John Simon Guggenheim Memorial Foundation
- Universiteit Leiden
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Lorentz Center
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Genetically Modified Organisms Research
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Weed Control and Herbicide Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- transgene flow, natural populations, reticulate evolution
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