Dataset Information

Sequencing and de Novo Assembly of Abaca (Musa textilis Nee) var. Abuab Genome.

ABSTRACT: Abaca (Musa textilis Née), an indigenous crop to the Philippines, is known to be the source of the strongest natural fiber. Despite its huge economic contributions, research on crop improvement is limited due to the lack of genomic data. In this study, the whole genome of the abaca var. Abuab was sequenced using Illumina Novaseq 6000 and Pacific Biosciences Single-Molecule Real-Time Sequel. The genome size of Abuab was estimated to be 616 Mbp based on total k-mer number and volume peak. Its genome was assembled at 65× depth, mapping 95.28% of the estimated genome size. BUSCO analysis recovered 78.2% complete BUSCO genes. A total of 33,277 gene structures were predicted which is comparable to the number of predicted genes from recently assembled Musa spp. genomes. A total of 330 Mbp repetitive elements were also mined, accounting to 53.6% of the genome length. Here we report the sequencing and genome assembly of the abaca var. Abuab that will facilitate gene discovery for crop improvement and an indispensable source for genetic diversity studies in Musa.

SUBMITTER: Galvez LC

PROVIDER: S-EPMC8392402 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Sequencing and de Novo Assembly of Abaca (<i>Musa textilis</i> Née) var. Abuab Genome.

Galvez Leny Calano LC Koh Rhosener Bhea Lu RBL Barbosa Cris Francis Cortez CFC Asunto Jayson Calundre JC Catalla Jose Leonido JL Atienza Robert Gomez RG Costales Kennedy Trinidad KT Aquino Vermando Masinsin VM Zhang Dapeng D

Genes 20210802 8

Abaca (<i>Musa textilis</i> Née), an indigenous crop to the Philippines, is known to be the source of the strongest natural fiber. Despite its huge economic contributions, research on crop improvement is limited due to the lack of genomic data. In this study, the whole genome of the abaca var. Abuab was sequenced using Illumina Novaseq 6000 and Pacific Biosciences Single-Molecule Real-Time Sequel. The genome size of Abuab was estimated to be 616 Mbp based on total k-mer number and volume peak. I ...[more]

PMID: 34440376

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Project description:BackgroundMassive forest decline has been observed almost everywhere as a result of negative anthropogenic and climatic effects, which can interact with pests, fungi and other phytopathogens and aggravate their effects. Climatic changes can weaken trees and make fungi, such as Armillaria more destructive. Armillaria borealis (Marxm. & Korhonen) is a fungus from the Physalacriaceae family (Basidiomycota) widely distributed in Eurasia, including Siberia and the Far East. Species from this genus cause the root white rot disease that weakens and often kills woody plants. However, little is known about ecological behavior and genetics of A. borealis. According to field research data, A. borealis is less pathogenic than A. ostoyae, and its aggressive behavior is quite rare. Mainly A. borealis behaves as a secondary pathogen killing trees already weakened by other factors. However, changing environment might cause unpredictable effects in fungus behavior.ResultsThe de novo genome assembly and annotation were performed for the A. borealis species for the first time and presented in this study. The A. borealis genome assembly contained ~ 68 Mbp and was comparable with ~ 60 and ~ 79.5 Mbp for the A. ostoyae and A. mellea genomes, respectively. The N50 for contigs equaled 50,544 bp. Functional annotation analysis revealed 21,969 protein coding genes and provided data for further comparative analysis. Repetitive sequences were also identified. The main focus for further study and comparative analysis will be on the enzymes and regulatory factors associated with pathogenicity.ConclusionsPathogenic fungi such as Armillaria are currently one of the main problems in forest conservation. A comprehensive study of these species and their pathogenicity is of great importance and needs good genomic resources. The assembled genome of A. borealis presented in this study is of sufficiently good quality for further detailed comparative study on the composition of enzymes in other Armillaria species. There is also a fundamental problem with the identification and classification of species of the Armillaria genus, where the study of repetitive sequences in the genomes of basidiomycetes and their comparative analysis will help us identify more accurately taxonomy of these species and reveal their evolutionary relationships.

Dataset Information

Sequencing and de Novo Assembly of Abaca (Musa textilis Nee) var. Abuab Genome.

Publications

Sequencing and de Novo Assembly of Abaca (<i>Musa textilis</i> Née) var. Abuab Genome.

Similar Datasets

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