Genetic diversity of ten Moroccan populations of Tetraclinis articulata as revealed by Inter Simple Sequence Repeat (ISSR) markers
DOI:
https://doi.org/10.19182/bft2020.345.a31927Keywords
Tetraclinis articulata, genetic variation, fragmentation, ISSR, conservation, MoroccoAbstract
Tetraclinis articulata (Vahl) Masters is one of Morocco's most important forest species. It is also found occasionally in Malta and Spain, showing significant adaptability to different bio-climatic conditions. However, the species is being affected by anthropogenic fragmentation, logging and neglect from authorities, which could lead to the irretrievable loss of this resource. In this study, the genetic diversity and genetic structure of ten Moroccan populations of T. articulata were assessed. Fifteen Inter-Simple Sequence Repeat (ISSR) markers were used. These generated 271 polymorphic fragments with an average of 18.06 per primer and showed 79.59% of polymorphism. The 129 individuals revealed a high level of genetic diversity (Hs = 0.221; Ht = 0.254) and 85% of genetic variation within populations. However, the genetic differentiation level was low (Gst = 0.13), which is consistent with the lack of correlation between genetic and geographic distances revealed by the Mantel test, resulting in a high level of gene flow (Nm = 3.294). Based on PCoA and neighbour-joining methods, the ten populations clustered under the effect of continental and marine climates. Compared with other conifers, the current genetic diversity and the pattern of T. articulata population structure indicate an important gene pool requiring efficient conservation strategies.
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References
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Liu J., Shi S., Chang E., Yang W., Jiang Z., 2013. Genetic diversity of the critically endangered Thuja sutchuenensis revealed by ISSR markers and the implications for conservation. International Journal of Molecular Science, 14 (7): 14860-14871. https://doi.org/10.3390/ijms140714860
Liu Z.-J., Chen Y., Peng Z., Wu C., Ma Z., Ding G., et al., 2017. Genetic diversity and variation of Chinese fir from Fujian province and Taiwan, China, based on ISSR markers. Plos One, 12 (4): e0175571. https://doi.org/10.1371/journal.pone.0175571
Loveless M. D., Hamrick J. L., 1984. Ecological determinants of genetic structure in plant populations. Annual Review of Ecology and Systematics, 15: 65-95. https://doi.org/10.1146/annurev.es.15.110184.000433
Mantel N., 1967. The detection of disease clustering and a generalized regression approach. Cancer Research, 27 (2 Part 1): 209-220. https://cancerres.aacrjournals.org/content/27/2_Part_1/209
Meloni M., Perini D., Filigheddu R., Binelli G., 2006. Genetic variation in five Mediterranean populations of Juniperus phoenicea as revealed by inter-simple sequence repeat (ISSR) markers. Annals of Botany, 97 (2): 299-304. https://dx.doi.org/10.1093%2Faob%2Fmcj024
Morte M. A., Honrubia M., 1996. Tetraclinis articulata (Cartagena Cypress). In: Bajaj Y. P. S. (ed.). Trees IV. Heidelberg, Germany, Springer-Verlag. https://link.springer.com/chapter/10.1007/978-3-662-10617-4_24
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Ng W. L., Tan S. G., 2015. Inter-Simple Sequence Repeat (ISSR) markers: Are we doing it right? ASM Science Journal, 9 (1): 30-39. https://www.researchgate.net/publication/283256624_Inter-Simple_Sequence_Repeat_ISSR_markers_Are_we_doing_it_right
Nybom H., 2004. Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Molecular Ecology, 13 (5): 1143-55. https://doi.org/10.1111/j.1365-294X.2004.02141.x
Nybom H., Bartish I. V., 2000. Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspectives in Plant Ecology, Evolution and Systematics, 3 (2): 93-114. https://doi.org/10.1078/1433-8319-00006
Pandey M., Rajora O. P., 2012. Genetic diversity and differentiation of core vs. peripheral populations of eastern white cedar, Thuja occidentalis (Cupressaceae). American Journal of Botany, 99 (4): 690-699. https://doi.org/10.3732/ajb.1100116
Porth I., El-Kassaby Y., 2014. Assessment of the genetic diversity in forest tree populations using molecular markers. Diversity, 6 (2): 283-295. https://doi.org/10.3390/d6020283
Powell W., Morgante M., Chaz A., Hanafey M., Vogel J., Tingey S., et al., 1996. The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Molecular Breeding, 2 (3): 225-238. https://doi.org/10.1007/BF00564200
Prevost A., Wilkinson M. J., 1999. A new system of comparing PCR primers applied to ISSR fingerprinting of potato cultivars. Theoretical and Applied Genetics, 98 (1): 107-112. https://doi.org/10.1007/s001220051046
Pritchard J. K., Stephens M., Donnelly P., 2000. Inference of population structure using multilocus genotype data. Genetics, 155 (2): 945-59. https://www.genetics.org/content/155/2/945
Rocha J. A., Santelmo V., Meneses da Silva F. M., Jurkiewicz M. A., Souza Silva M. F., et al., 2014. ISSR Primer Selection for Genetic Variability Analyses with Jaborandi (Pilocarpus microphyllus Stapf ex Wardlew., Rutaceae). Forest Research: Open Access, 03 (04). https://doi.org/10.4172/2168-9776.1000126
Roldán-Ruiz I., Dendauw J., Van Bockstaele E., Depicker A., De Loose M., 2000. AFLP markers reveal high polymorphic rates in ryegrasses (Lolium spp.). Molecular Breeding, 6 (2): 125-134. https://doi.org/10.1023/A:1009680614564
Rourke J. P., 1991. Tetraclinis articulata, a hitherto unrecorded naturalised alien conifer in South Africa. Bothalia, 21 (1): 62-64. https://doi.org/10.4102/abc.v21i1.2015
Sánchez-Gómez P., Jiménez J., Vera J., Sánchez-Saorín F., Martínez J., Buhagiar J., 2013. Genetic structure of Tetraclinis articulata, an endangered conifer of the western Mediterranean basin. Silva Fennica, 47 (5): 1073. https://www.readcube.com/articles/10.14214/sf.1073
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2020-10-26
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MAKKAOUI, M., ABBAS, Y., EL ANTRY-TAZY, S. ., MEDRAOUI, L., ALAMI, M., RABANI, S., & FILALI-MALTOUF, A. (2020). Genetic diversity of ten Moroccan populations of Tetraclinis articulata as revealed by Inter Simple Sequence Repeat (ISSR) markers. BOIS & FORETS DES TROPIQUES, 345, 15–25. https://doi.org/10.19182/bft2020.345.a31927
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