Genome size estimation of mpob's Elaeis germplasms collection

Sahidan, Ainul Shazwin (2007) Genome size estimation of mpob's Elaeis germplasms collection. [Project Paper] (Submitted)

Text lp FSPM 2007 4.pdf Download (19MB)

Abstract

This study is focusing on genome size estimation for 11 germplasms from Elaeis guineensis and 5 germplasms from Elaeis oleifera. There are 4 stages involved in this research study which is leaf sample collections of Elaeis germplasms, processing of samples for nuclei preparation, followed by supplementation with propodium iodide (Pl) and RNaseA prior to flow cytometry (FCM) analysis and lastly statistical analysis via MIN IT AB software. Flow cytometry (FCM) is a rapid and convenient technique that allows accurate determination of nuclear DNA content or genome size in plants compared to other methods. The standard reference used for the study on Elaeis germplasms genome size is soybean (Glycine max cv. Polanka, 2C=2.5 pg). According to the results, germplasm from Nigeria shows the highest genome size with 2C=4.202±0.35 pg and the germplasm from Tanzania shows the lowest genome size with 2C=3.659±0.253 pg at p≤S0.05. The highest genome size from Elaeis oleifera is exhibited by the germplasm from Colombia with 2C=4.167±0.429 pg while the germplasm Suriname shows the lowest genome size 2C=3.392±0.534 pg at p ≤S0.05. The results revealed significant differences in genome size of Elaeis guineensis between Tanzania and Angola germplasms (2C=3.659±0.253 pg vs. 4.11±0.262 pg respectively), Tanzania and Guinea germplasms (2C=3.659±0.253 pg vs. 4.180±0.236 pg respectively), Tanzania and Madagascar germplasms (2C=3.659±0.253 pg vs. 4. I 37±0.131 pg respectively), Tanzania and Nigeria germplasms (2C=3.659±0.253 pg vs. 4.202±0.350 pg) where H1 were accepted (p ≤0.05). While for Elaeis oleifera, there are significant differences between Suriname and Colombia germplasms (2C=3.392±0.534 pg vs. 4.168±0.429 pg respectively) as well as between Suriname and Honduras germplasms (2C=3.392±0.534 pg vs. 3.943±0. l 09 pg respectively) where H1 were accepted (p ≤0.05). Almost symmetrical high peak count and less than 5% coefficient variation (CV) value are the main factors considered in order to choose the best histogram peaks.

Item Type:	Project Paper
Faculty:	Faculty of Agriculture and Food Sciences
Depositing User:	Mr. Azman Mohamad
Date Deposited:	17 Dec 2024 02:24
Last Modified:	17 Dec 2024 02:24
URI:	http://psaspb.upm.edu.my/id/eprint/2248

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