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Journal articles on the topic 'Gene flow'

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Author: Grafiati

Published: 4 June 2021

Last updated: 6 July 2024

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1

Ovchinnikov, Igor V. "Hominin evolution and gene flow in the Pleistocene Africa." Anthropologischer Anzeiger 70, no. 2 (July 1, 2013): 221–27. http://dx.doi.org/10.1127/0003-5548/2013/0313.

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2

Sweet, Jeremy, Jane Thomas, Carol Norris, and Euan Simpson. "GM gene flow." Nature Biotechnology 17, no. 9 (September 1999): 836. http://dx.doi.org/10.1038/12786.

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3

Yoder, Anne D. "Gene Flow Happens." Evolutionary Anthropology: Issues, News, and Reviews 23, no. 1 (January 2, 2014): 15–17. http://dx.doi.org/10.1002/evan.21397.

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4

Ellstrand, Norman C., and Loren H. Rieseberg. "When gene flow really matters: gene flow in applied evolutionary biology." Evolutionary Applications 9, no. 7 (July 16, 2016): 833–36. http://dx.doi.org/10.1111/eva.12402.

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5

ARDREN, WILLIAM R. "GENE FLOW UNDER WATER." BioScience 54, no. 5 (2004): 463. http://dx.doi.org/10.1641/0006-3568(2004)054[0463:gfuw]2.0.co;2.

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6

Butlin, R. K. "Barriers to gene flow." Nature 366, no. 6450 (November 1993): 27. http://dx.doi.org/10.1038/366027a0.

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7

Ash, C. "Rivers of Gene Flow." Science 338, no. 6109 (November 15, 2012): 864. http://dx.doi.org/10.1126/science.338.6109.864-a.

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8

Culberson, Chicita F., William Louis Culberson, and Anita Johnson. "GENE FLOW IN LICHENS." American Journal of Botany 75, no. 8 (August 1988): 1135–39. http://dx.doi.org/10.1002/j.1537-2197.1988.tb08826.x.

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9

Bos, M., H. Harmens, and K. Vrieling. "Gene flow in Plantago I. Gene flow and neighbourhood size in P. lanceolata." Heredity 56, no. 1 (February 1986): 43–54. http://dx.doi.org/10.1038/hdy.1986.7.

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10

AK, Engku, M. Norida, Juraimi AS, Rafii MY, Abdullah SNA, and Alam MA. "Gene flow from Clearfield® rice to weedy rice under field conditions." Plant, Soil and Environment 62, No. 1 (June 6, 2016): 16–22. http://dx.doi.org/10.17221/616/2015-pse.

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11

Sanderson, Neil. "Can Gene Flow Prevent Reinforcement?" Evolution 43, no. 6 (September 1989): 1223. http://dx.doi.org/10.2307/2409358.

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12

Wilson, Hugh D. "Gene Flow in Squash Species." BioScience 40, no. 6 (June 1990): 449–55. http://dx.doi.org/10.2307/1311392.

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13

Berrigan, David, Jay Evans, David Holway, Lucia Jacobs, Miriam Richards, and Jon Seger. "Gene Flow or Heterozygote Advantage?" Science 263, no. 5150 (February 25, 1994): 1157. http://dx.doi.org/10.1126/science.263.5150.1157.a.

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14

Dixon, Bernard. "Gene Flow and Bacterial Transformation." Nature Biotechnology 11, no. 7 (July 1993): 767. http://dx.doi.org/10.1038/nbt0793-767.

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15

Misteli, Tom. "The flow of gene expression." Nature Structural & Molecular Biology 11, no. 3 (March 2004): 202–5. http://dx.doi.org/10.1038/nsmb0304-202.

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16

Chèvre, Anne-Marie, Frédérique Eber, Alain Baranger, and Michel Renard. "Gene flow from transgenic crops." Nature 389, no. 6654 (October 1997): 924. http://dx.doi.org/10.1038/40054.

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17

Kelly, Ella, and Ben L. Phillips. "Targeted gene flow for conservation." Conservation Biology 30, no. 2 (November 23, 2015): 259–67. http://dx.doi.org/10.1111/cobi.12623.

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18

Sanderson, Neil. "CAN GENE FLOW PREVENT REINFORCEMENT?" Evolution 43, no. 6 (September 1989): 1223–35. http://dx.doi.org/10.1111/j.1558-5646.1989.tb02570.x.

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19

Berrigan, D., J. Evans, D. Holway, L. Jacobs, M. Richards, and J. Seger. "Gene Flow or Heterozygote Advantage?" Science 263, no. 5150 (February 25, 1994): 1157. http://dx.doi.org/10.1126/science.263.5150.1157.

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20

Trewavas, A. "Gene flow and GM questions." Trends in Plant Science 4, no. 9 (September 1, 1999): 339. http://dx.doi.org/10.1016/s1360-1385(99)01464-8.

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21

Reydon, Thomas A. C. "Species as Gene Flow Communities." Acta Biotheoretica 61, no. 4 (August 24, 2013): 525–34. http://dx.doi.org/10.1007/s10441-013-9198-0.

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22

Petit, Rémy J., and Laurent Excoffier. "Gene flow and species delimitation." Trends in Ecology & Evolution 24, no. 7 (July 2009): 386–93. http://dx.doi.org/10.1016/j.tree.2009.02.011.

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23

Slarkin, M. "Gene Flow in Natural Populations." Annual Review of Ecology and Systematics 16, no. 1 (November 1985): 393–430. http://dx.doi.org/10.1146/annurev.es.16.110185.002141.

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24

McDermott, J. M., and B. A. McDonald. "Gene Flow in Plant Pathosystems." Annual Review of Phytopathology 31, no. 1 (September 1993): 353–73. http://dx.doi.org/10.1146/annurev.py.31.090193.002033.

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25

Becher, S. A., and A. E. Magurran. "Gene flow in Trinidadian guppies." Journal of Fish Biology 56, no. 2 (February 2000): 241–49. http://dx.doi.org/10.1111/j.1095-8649.2000.tb02103.x.

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26

Granger, A. R. "Gene flow in cherry orchards." Theoretical and Applied Genetics 108, no. 3 (September 19, 2003): 497–500. http://dx.doi.org/10.1007/s00122-003-1426-6.

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27

Bartsch, Detlef. "Gene Flow in Sugar Beet." Sugar Tech 12, no. 3-4 (December 2010): 201–6. http://dx.doi.org/10.1007/s12355-010-0053-1.

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28

Bos, Marten, and Egbert van der Haring. "Gene flow in Plantago. II. Gene flow pattern and population structure. A simulation study." Heredity 61, no. 1 (August 1988): 1–11. http://dx.doi.org/10.1038/hdy.1988.85.

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29

Fenster, Charles B. "Gene Flow in Chamaecrista fasciculata (Leguminosae) I. Gene Dispersal." Evolution 45, no. 2 (March 1991): 398. http://dx.doi.org/10.2307/2409673.

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30

Fenster, Charles B. "Gene Flow in Chamaecrista fasciculata (Leguminosae) II. Gene Establishment." Evolution 45, no. 2 (March 1991): 410. http://dx.doi.org/10.2307/2409674.

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31

Fenster, Charles B. "GENE FLOW IN CHAMAECRISTA FASCICULATA (LEGUMINOSAE) I. GENE DISPERSAL." Evolution 45, no. 2 (March 1991): 398–409. http://dx.doi.org/10.1111/j.1558-5646.1991.tb04413.x.

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32

Fenster, Charles B. "GENE FLOW IN CHAMAECRISTA FASCICULATA (LEGUMINOSAE) II. GENE ESTABLISHMENT." Evolution 45, no. 2 (March 1991): 410–22. http://dx.doi.org/10.1111/j.1558-5646.1991.tb04414.x.

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33

Ellstrand, Norman C. "Current knowledge of gene flow in plants: implications for transgene flow." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1434 (June 29, 2003): 1163–70. http://dx.doi.org/10.1098/rstb.2003.1299.

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Plant evolutionary biologists' view of gene flow and hybridization has undergone a revolution. Twenty–five years ago, both were considered rare and largely inconsequential. Now gene flow and hybridization are known to be idiosyncratic, varying with the specific populations involved. Gene flow typically occurs at evolutionarily significant rates and at significant distances. Spontaneous hybridization occasionally has important applied consequences, such as stimulating the evolution of more aggressive invasives and increasing the extinction risk for rare species. The same problems have occurred for spontaneous hybridization between crops and their wild relatives. These new data have implications for transgenic crops: (i) for most crops, gene flow can act to introduce engineered genes into wild populations; (ii) depending on the specific engineered gene(s) and populations involved, gene flow may have the same negative impacts as those observed for traditionally improved crops; (iii) gene flow's idiosyncratic nature may frustrate management and monitoring attempts; and (iv) intercrop transgene flow, although rarely discussed, is equally worthy of study.

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34

Palczewski, Michal, and Peter Beerli. "A Continuous Method for Gene Flow." Genetics 194, no. 3 (May 11, 2013): 687–96. http://dx.doi.org/10.1534/genetics.113.150904.

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35

Kulathinal, Rob J., and Rama S. Singh. "REINFORCEMENT WITH GENE FLOW? A REPLY." Evolution 54, no. 6 (2000): 2176. http://dx.doi.org/10.1554/0014-3820(2000)054[2176:rwgfar]2.0.co;2.

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36

Snow, Allison A. "Transgenic crops—why gene flow matters." Nature Biotechnology 20, no. 6 (June 2002): 542. http://dx.doi.org/10.1038/nbt0602-542.

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37

Shand, Hope. "Terminator no solution to gene flow." Nature Biotechnology 20, no. 8 (August 2002): 775–76. http://dx.doi.org/10.1038/nbt0802-775b.

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38

Rieben, Silvan, Olena Kalinina, Bernhard Schmid, and Simon L. Zeller. "Gene Flow in Genetically Modified Wheat." PLoS ONE 6, no. 12 (December 27, 2011): e29730. http://dx.doi.org/10.1371/journal.pone.0029730.

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39

Wagner, Alexander, Rachel J. Whitaker, David J. Krause, Jan-Hendrik Heilers, Marleen van Wolferen, Chris van der Does, and Sonja-Verena Albers. "Mechanisms of gene flow in archaea." Nature Reviews Microbiology 15, no. 8 (May 15, 2017): 492–501. http://dx.doi.org/10.1038/nrmicro.2017.41.

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40

Nuismer, Scott L., John N. Thompson, and Richard Gomulkiewicz. "Gene flow and geographically structured coevolution." Proceedings of the Royal Society of London. Series B: Biological Sciences 266, no. 1419 (March 22, 1999): 605–9. http://dx.doi.org/10.1098/rspb.1999.0679.

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41

Zahn, Laura M. "Following gene flow in butterfly genomes." Science 366, no. 6465 (October 31, 2019): 583.12–585. http://dx.doi.org/10.1126/science.366.6465.583-l.

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42

Mallory-Smith, Carol, Linda M. Hall, and Nilda R. Burgos. "Experimental Methods to Study Gene Flow." Weed Science 63, SP1 (February 2015): 12–22. http://dx.doi.org/10.1614/ws-d-13-00064.1.

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Herbicide resistance is an exceptional marker to quantify gene flow. Quantification of pollen-, seed-, and vegetative propagule-mediated gene flow provides key weed biology information. Pollen-mediated gene flow influences the genetic variance within a population, the frequency of multiple or polygenic herbicide resistance, and the evolutionary dynamics of a species. Seed-mediated gene flow predominates in self-pollinating species. Gene flow quantification may enable the estimation of herbicide resistance epicenter, the comparison of the relative importance of gene flow pathways, and prediction of future distribution of resistance traits. Gene flow studies using herbicide resistance also can provide insight into the rates and importance of hybridization.

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43

Chase, M. R., C. Moller, R. Kesseli, and K. S. Bawa. "Distant gene flow in tropical trees." Nature 383, no. 6599 (October 1996): 398–99. http://dx.doi.org/10.1038/383398a0.

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44

Raybould, Alan. "Gene Flow from Genetically Modified Crops." Pesticide Outlook 12, no. 5 (November 7, 2001): 177–80. http://dx.doi.org/10.1039/b108604a.

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45

Dewitt, Natalie. "Gene flow from crops to weeds." Nature Biotechnology 17, no. 4 (April 1999): 318. http://dx.doi.org/10.1038/7861.

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46

Kulathinal, Rob J., and Rama S. Singh. "REINFORCEMENT WITH GENE FLOW? A REPLY." Evolution 54, no. 6 (December 2000): 2176–77. http://dx.doi.org/10.1111/j.0014-3820.2000.tb01263.x.

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47

Ohadi, Sara, George Hodnett, William Rooney, and Muthukumar Bagavathiannan. "Gene Flow and its Consequences inSorghumspp." Critical Reviews in Plant Sciences 36, no. 5-6 (November 2, 2017): 367–85. http://dx.doi.org/10.1080/07352689.2018.1446813.

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48

Bohonak, Andrew J. "Dispersal, Gene Flow, and Population Structure." Quarterly Review of Biology 74, no. 1 (March 1999): 21–45. http://dx.doi.org/10.1086/392950.

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49

Bamshad, Michael J., W. Scott Watkins, Mary E. Dixon, Lynn B. Jorde, B. Bhaskara Rao, J. M. Naidu, B. V. Ravi Prasad, Arani Rasanayagam, and Mike F. Hammer. "Female gene flow stratifies Hindu castes." Nature 395, no. 6703 (October 1998): 651–52. http://dx.doi.org/10.1038/27103.

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50

Rannala, Bruce, and J. A. Hartigan. "Estimating gene flow in island populations." Genetical Research 67, no. 2 (April 1996): 147–58. http://dx.doi.org/10.1017/s0016672300033607.

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SummaryA new method is presented for estimating the rate of gene flow into island populations using the distribution of alleles in samples from a number of islands. The pseudo maximum likelihood estimator (PMLE) that we derive may be applied to species with either discrete or continuous generation times. For Wright's discrete-generation island model, the method provides an estimate of θ = 2Nm where N is the (haploid) population size on each island and m is the fraction of individuals replaced by immigrants in each generation. For a continuous-generation island model, the corresponding parameter φ is the ratio of the immigration rate φ to the individual birth rate λ. Monte Carlo simulations are used to compare the statistical properties of the PMLE with those of two alternative estimatorsof θ derived from Wright's F-statistics. The PMLE is shown to have greatest efficiency (least mean square error) in most cases for a wide range of sample sizes and parameter values. The PMLE is applied to estimate θ using mtDNA haplotypes and allozymes for subdivided populations of African elephants and Channel Island foxes.

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