An improved draft genome sequence of hybrid Populus alba × Populus glandulosa
Populus alba × P. glandulosa clone 84 K, derived from South Korea, is widely cultivated in China and used as a model in the molecular research of woody plants because of high gene transformation efficiency. Here, we combined 63-fold coverage Illumina short reads and 126-fold coverage PacBio long r...
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Summary: | Populus alba
×
P. glandulosa
clone 84 K, derived from South Korea, is widely cultivated in China and used as a model in the molecular research of woody plants because of high gene transformation efficiency. Here, we combined 63-fold coverage Illumina short reads and 126-fold coverage PacBio long reads to assemble the genome. Due to the high heterozygosity level at 2.1% estimated by
k
-mer analysis, we exploited TrioCanu for genome assembly. The PacBio clean subreads of
P. alba
×
P. glandulosa
were separated into two parts according to the similarities, compared with the parental genomes of
P. alba
and
P. glandulosa
. The two parts of the subreads were assembled to two sets of subgenomes comprising subgenome A (405.31 Mb, from
P. alba
) and subgenome G (376.05 Mb, from
P. glandulosa
) with the contig N50 size of 5.43 Mb and 2.15 Mb, respectively. A high-quality
P. alba
×
P. glandulosa
genome assembly was obtained. The genome size was 781.36 Mb with the contig N50 size of 3.66 Mb and the longest contig was 19.47 Mb. In addition, a total of 176.95 Mb (43.7%), 152.37 Mb (40.5%) of repetitive elements were identified and a total of 38,701 and 38,449 protein-coding genes were predicted in subgenomes A and G, respectively. For functional annotation, 96.98% of subgenome A and 96.96% of subgenome G genes were annotated with public databases. This de novo assembled genome will facilitate systematic and comprehensive study, such as multi-omics analysis, in the model tree
P. alba
×
P. glandulosa
. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1007-662X 1993-0607 |
DOI: | 10.1007/s11676-020-01235-2 |