Open AccessCANDIDATE GENES IDENTIFICATION OF OIL PALM (Elaeis guineensis Jacq.) INTEREST CHARACTERS USING PUBLISHED DATABASE
Author(s) -
Upit Sarimana,
Dwi Putro Priadi,
Mery Hasmeda,
Pratiwi Erika,
Javier Herrero,
Baitha Santika,
Fahmi Wendra,
Zulhermana Sembiring,
Dwi Asmono
Publication year - 2021
Publication title -
biovalentia
Language(s) - English
Resource type - Journals
ISSN - 2477-1392
DOI - 10.24233/biov.7.1.2021.188
Subject(s) - elaeis guineensis , palm oil , candidate gene , palm , biology , gene , in silico , identification (biology) , microbiology and biotechnology , yield (engineering) , database , botany , horticulture , genetics , food science , computer science , physics , materials science , quantum mechanics , metallurgy
Palm oil has supplied more than 30% of vegetable oil consumption worldwide. Rising demand has pushed oil palm plantations to increase the yield. It is well known that genetic has played a significant role in phenotypic performance. Moreover, in recent years, genomic data has emerged tremendously. Unfortunately on the gene related to oil palm yield. Therefore, a preliminary study to classify and select oil palm candidate genes associated with characteristic by scanning existing genes in oil palm or other in-silico species were conducted. Based on Blast2Go results, 22 genes related to oil biosynthesis, two specifically related to fruit number and fruit weight were analysed. Furthermore, 19 candidate genes were able to amplify.