Back

First high-quality genome assembly data of sago palm (Metroxylon sagu Rottboll)

LIM, L. W. K.; Lau, M. M. L.; Chung, H.-H.; Hussain, H.; GAN, H. M.

2021-12-30 genomics
10.1101/2021.12.29.474478 bioRxiv
Show abstract

The sago palm (Metroxylon sagu Rottboll) is a all-rounder palm, it is both a tropical halophytic starch-producing palm as well as an ornamental plant. Recently, a genome survey was conducted on this palm using Illumina sequencing platform but the BUSCO genome completeness is very low (21.5%) and most of them ([~]78%) are either fragmented or missing. Thus, in this study, the sago palm genome completeness was further improved with the utilization of the Nanopore sequencing platform that produced longer reads. A hybrid genome assembly was conducted and the outcome was a much complete sago palm genome with BUSCO completeness achieved at as high as 97.9% with only [~]2% of them either fragmented or missing. The estimated genome size of the sago palm is 509,812,790 bp in this study. A sum of 33,242 protein-coding genes were revealed from the sago palm genome and around 96.39% of them had been functionally annotated. An investigation on the carbohydrate metabolism KEGG pathways also unearthed that starch synthesis was one of the major sago palm activities. These data are indispensable for future molecular evolutionary and genome-wide association studies. Specifications Table O_TBL View this table: org.highwire.dtl.DTLVardef@1a2dc6aorg.highwire.dtl.DTLVardef@134e433org.highwire.dtl.DTLVardef@171efa9org.highwire.dtl.DTLVardef@12d6f26org.highwire.dtl.DTLVardef@1dc32a6_HPS_FORMAT_FIGEXP M_TBL C_TBL Value of the DataO_LIFirst complete genome dataset for the eco-economic important sago palm (Metroxylon sagu Rottboll). C_LIO_LIHigh completeness of sago palm genomic dataset will facilitate future researches, such as genome-wide association studies. C_LIO_LIThe data is useful in pioneering sago palm genetic landscape investigations which in turn unmask the mystery behind its high starch yield, salinity tolerance and disease resistance. C_LI

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.