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Chromosome-level Reference Genome Provides Insights into Divergence and Stress Adaptation of the African Oil Palm
- Source :
- Genomics, Proteomics & Bioinformatics.
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
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Abstract
- The palm family (Arecaceae), consisting of ∼ 2600 species, is the third most economically important family of plants. The African oil palm (Elaeis guineensis) is one of the most important palms. However, the genome sequences of palms available are still limited and fragmented. Here, we report a high-quality chromosome-level reference genome of an oil palm Dura. The genome of 1.7 Gb was assembled by integrating long reads with ∼ 150 × genome coverage. The assembled genome covered 94.5% of the estimated genome size, within which 91.6% were assigned into 16 pseudochromosomes and 73.7% were repetitive sequences. Relying on the conserved synteny with oil palm, the existing draft genome sequences of both date palm and coconut were further assembled into chromosomal level. Transposon burst, particularly long terminal repeat retrotransposons (LTRs) retrotransposons, following the last whole-genome duplication (WGD), likely explains genome size variation across palms. Convergent evolution of fruit colors tends to eliminate the roles of the virescens gene in controlling accumulation of anthocyanins in exocarp of ripe fruit of palms. Recent duplications of high tandemly repeated pathogenesis-related proteins (PRs) from the same tandem arrays played an important role in defense responses to Ganoderma. Whole genome re-sequencing of both ancestral African and introduced oil palms in Southeast Asia revealed that genes under putative selection were notably associated with stress responses, suggesting adaptation to stresses in the new habitat. The genomic resources and insights gained in this study could be exploited for accelerating genetic improvement and understanding the evolution of palms.
- Subjects :
- Computational Mathematics
Genetics
Molecular Biology
Biochemistry
Subjects
Details
- ISSN :
- 16720229
- Database :
- OpenAIRE
- Journal :
- Genomics, Proteomics & Bioinformatics
- Accession number :
- edsair.doi.dedup.....6e2c437eda4191507cfd6814d8f0a0e9