caa a22 4500 475793587 CHVBK 20180406123717.0 cr unu---uuuuu 170329e20001101xx s 000 0 eng 10.1007/s001220051591 doi (NATIONALLICENCE)springer-10.1007/s001220051591 Comparison of multivariate methods for the analysis of genetic resources and adaptation in Phytolacca dodecandra using RAPD [Elektronische Daten] [K. Semagn, A. Bjornstad, B. Stedje, E. Bekele] Abstract : The extent of genetic differentiation among 17 Ethiopian populations (249 individuals) of Phytolacca dodecandra (Endod) sampled along altitudinal gradients that varied from 1600 to 3000 m was investigated using random amplified polymorphic DNA (RAPD). The populations were classified into three altitude groups: lowland (1600-2100 m), central-highland (2101-2500 m) and highland (2500-3000 m). Seventy polymorphic loci scored from 12 RAPD primers, singly or in combination with ecogeographical variables (altitude, longitude, latitude, temperature and rainfall), were used for principal component, discriminant, correlation, and stepwise multiple regression analyses. Principal component analysis (PCA) clearly differentiated lowland and the central-highland populations from those of the highlands independent of their geographical regions. Canonical discriminant analysis separated the lowland plants from those of the highlands with the central-highland plants being intermediate. Classificatory discriminant analysis corrected classification of 92.8% of the 249 plants into their respective three altitude groups. Multiple regression analysis identified a strong association between some RAPDs and altitude, temperature and rainfall, while the variation in most RAPDs was explained by combinations of the different ecogeographical variables. It is hypothesised that the different altitude groups may be (1) chemical and/or physiological ecotypes produced as a result of complex interactions of altitude with climatic and/or edaphic factors, or (2) different in ploidy levels. The significant correlations obtained between population means from some RAPDs and altitude and temperature as well as the strong association of some RAPDs with the ecogeographical variables in the multiple regression analysis suggest that part of the RAPD polymorphism could be adaptive, and responsive to environmental selection. Springer-Verlag Berlin Heidelberg, 2000 Keywords Altitude differentiation nationallicence Environmental selection nationallicence Phytolacca dodecandra nationallicence RAPD nationallicence Semagn K. Addis Ababa University, Institute of Pathobiology, P.O. Box 1176, Addis Ababa Ethiopia; aau-ipb@telecom.net.et Fax: +2511-755296, ET aut Bjornstad A. Agricultural University of Norway, Department of Horticulture and Crop Sciences, P.O. Box 5022, N-1432, Ås, Norway, NO aut Stedje B. University of Oslo, Botanical Garden and Museum, Trondheimsveien 23B, N-0562,Oslo, Norway, NO aut Bekele E. Addis Ababa University, Department of Biology, P.O. Box 1176, Addis Ababa, Ethiopia, ET aut https://doi.org/10.1007/s001220051591 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001220051591 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Semagn K. Addis Ababa University, Institute of Pathobiology, P.O. Box 1176, Addis Ababa Ethiopia; aau-ipb@telecom.net.et Fax: +2511-755296, ET aut NATIONALLICENCE 700 1- Bjornstad A. Agricultural University of Norway, Department of Horticulture and Crop Sciences, P.O. Box 5022, N-1432, Ås, Norway, NO aut NATIONALLICENCE 700 1- Stedje B. University of Oslo, Botanical Garden and Museum, Trondheimsveien 23B, N-0562,Oslo, Norway, NO aut NATIONALLICENCE 700 1- Bekele E. Addis Ababa University, Department of Biology, P.O. Box 1176, Addis Ababa, Ethiopia, ET aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer