Microsatellite analysis to evaluate the seedling and mature of oil palm populations (Elaeis guineensis Jacq.)‎ to Ganoderma boninense resistanc

Joint Authors

Hayati, Rahmah
Munir, Erman
Lisnawita, Lisnawita
Basyuni, Muhammad

Source

Kuwait Journal of Science

Issue

Vol. 48, Issue 3 (31 Jul. 2021), pp.1-15, 15 p.

Publisher

Kuwait University Academic Publication Council

Publication Date

2021-07-31

Country of Publication

Kuwait

No. of Pages

15

Main Subjects

Agriculture

Abstract EN

To conduct efficient disease screening, the differentiation of the palm tree (Elaeis guineensis Jacq.) to Ganoderma boninense resistance populations is critical.

Differentiation can be done by analyzing the genetic structures of the two populations and comparing their seedling and matures.

This article presents the results of studying four selected stably amplified polymorphic of codominant microsatellite data to estimate the differentiation between eight E.

guineensis populations from different types of inoculated or symptoms of Ganoderma from North Sumatera, Indonesia.

The DNA extraction was carried out based on the CTAB method with a little modification.

The forward and reverse primers, i.e., P4(EGIFR), P6(EG01), P7(EG02), and P9(EG03), were used in a polymerase chain reaction (PCR).

The detection of the results of amplification was performed using molecular weight analysis on UVITEC-1D software.

To determine the microsatellite analysis, the data of genes were used to perform with the GENALEX ver 6.502 and MVSP ver 3.2 software.

Four of the loci have polymorphism for all types of seedling and mature species of E.

guineensis.

The polymorphism information content was calculated as PIC=0.70.

The genetic differentiation among populations was highest (Fst > 0.25), showed a high genetic divergence.

The calculation of Fst by population revealed that the highest Fst was largely due to suggesting diversifying selection in gene flow and resistance selection.

The molecular of analysis variance (AMOVA) was showed a significant (5%) differentiation among individuals (100%) between eight types of population.

A clustering by UPGMA analysis, based on squared Euclidean and Datalog (10), transformed genetic distances and revealed was a significant difference cluster in the seedling and mature populations.

American Psychological Association (APA)

Hayati, Rahmah& Lisnawita, Lisnawita& Munir, Erman& Basyuni, Muhammad. 2021. Microsatellite analysis to evaluate the seedling and mature of oil palm populations (Elaeis guineensis Jacq.) to Ganoderma boninense resistanc. Kuwait Journal of Science،Vol. 48, no. 3, pp.1-15.
https://search.emarefa.net/detail/BIM-1503294

Modern Language Association (MLA)

Basyuni, Muhammad…[et al.]. Microsatellite analysis to evaluate the seedling and mature of oil palm populations (Elaeis guineensis Jacq.) to Ganoderma boninense resistanc. Kuwait Journal of Science Vol. 48, no. 3 (Jul. 2021), pp.1-15.
https://search.emarefa.net/detail/BIM-1503294

American Medical Association (AMA)

Hayati, Rahmah& Lisnawita, Lisnawita& Munir, Erman& Basyuni, Muhammad. Microsatellite analysis to evaluate the seedling and mature of oil palm populations (Elaeis guineensis Jacq.) to Ganoderma boninense resistanc. Kuwait Journal of Science. 2021. Vol. 48, no. 3, pp.1-15.
https://search.emarefa.net/detail/BIM-1503294

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 11-15

Record ID

BIM-1503294