Dataset Information

The De Novo Genome Sequencing of Silver Pheasant (Lophura nycthemera).

ABSTRACT: Silver pheasant (Lophura nycthemera) belongs to Phasianidae, Galliformes, which exhibits high subspecific differentiation. In this study, we assembled a novel genome based on 98.42 Gb of Illumina sequencing data and 30.20 Gb of PacBio sequencing data. The size of the final assembled genome was 1.01 Gb, with a contig N50 of 6.96 Mb. Illumina paired-end reads (94.96%) were remapped to the contigs. The assemble genome shows high completeness, with a complete BUSCO score of 92.35% using the avian data set. A total of 16,747 genes were predicted from the generated assembly, and 16,486 (98.44%) of the genes were annotated. The average length of genes, exons, and introns were 19,827.53, 233.69, and 1841.19 bp, respectively. Noncoding RNAs included 208 miRNAs, 40 rRNAs, and 264 tRNAs, and a total of 189 pseudogenes were identified; 116.31 Mb (11.47%) of the genome consisted of repeat sequences, with the greatest proportion of LINEs. This assembled genome provides a valuable reference genome for further studies on the evolutionary history and conversion genetics of L. nycthemera and the phylogenomics of the Galliformes lineage.

SUBMITTER: Li XJ

PROVIDER: S-EPMC8691047 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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The De Novo Genome Sequencing of Silver Pheasant (Lophura nycthemera).

Li Xue-Juan XJ Wang Xiao-Yang XY Yang Chao C Lin Li-Liang LL Zhao Le L Yu Xiao-Ping XP Lei Fu-Min FM Huang Yuan Y

Genome biology and evolution 20211201 12

Silver pheasant (Lophura nycthemera) belongs to Phasianidae, Galliformes, which exhibits high subspecific differentiation. In this study, we assembled a novel genome based on 98.42 Gb of Illumina sequencing data and 30.20 Gb of PacBio sequencing data. The size of the final assembled genome was 1.01 Gb, with a contig N50 of 6.96 Mb. Illumina paired-end reads (94.96%) were remapped to the contigs. The assemble genome shows high completeness, with a complete BUSCO score of 92.35% using the avian da ...[more]

PMID: 34904656

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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.

Project description:BackgroundDe novo genome sequencing of previously uncharacterized microorganisms has the potential to open up new frontiers in microbial genomics by providing insight into both functional capabilities and biodiversity. Until recently, Roche 454 pyrosequencing was the NGS method of choice for de novo assembly because it generates hundreds of thousands of long reads (<450 bps), which are presumed to aid in the analysis of uncharacterized genomes. The array of tools for processing NGS data are increasingly free and open source and are often adopted for both their high quality and role in promoting academic freedom.ResultsThe error rate of pyrosequencing the Alcanivorax borkumensis genome was such that thousands of insertions and deletions were artificially introduced into the finished genome. Despite a high coverage (~30 fold), it did not allow the reference genome to be fully mapped. Reads from regions with errors had low quality, low coverage, or were missing. The main defect of the reference mapping was the introduction of artificial indels into contigs through lower than 100% consensus and distracting gene calling due to artificial stop codons. No assembler was able to perform de novo assembly comparable to reference mapping. Automated annotation tools performed similarly on reference mapped and de novo draft genomes, and annotated most CDSs in the de novo assembled draft genomes.ConclusionsFree and open source software (FOSS) tools for assembly and annotation of NGS data are being developed rapidly to provide accurate results with less computational effort. Usability is not high priority and these tools currently do not allow the data to be processed without manual intervention. Despite this, genome assemblers now readily assemble medium short reads into long contigs (>97-98% genome coverage). A notable gap in pyrosequencing technology is the quality of base pair calling and conflicting base pairs between single reads at the same nucleotide position. Regardless, using draft whole genomes that are not finished and remain fragmented into tens of contigs allows one to characterize unknown bacteria with modest effort.

Dataset Information

The De Novo Genome Sequencing of Silver Pheasant (Lophura nycthemera).

Publications

The De Novo Genome Sequencing of Silver Pheasant (Lophura nycthemera).

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