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利用首个日本白头鹎(Zosterops japonicus)基因组进行注释流水线的比较分析。

Comparative Analysis of Annotation Pipelines Using the First Japanese White-Eye (Zosterops japonicus) Genome.

机构信息

Center for Conservation Genomics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, District of Columbia, USA.

Biological Sciences Graduate Program, University of Maryland, College Park, Maryland, USA.

出版信息

Genome Biol Evol. 2021 May 7;13(5). doi: 10.1093/gbe/evab063.

Abstract

Introduced into Hawaii in the early 1900s, the Japanese white-eye or warbling white-eye (Zosterops japonicus) is now the most abundant land bird in the archipelago. Here, we present the first Z. japonicus genome, sequenced from an individual in its invasive range. This genome provides an important resource for future studies in invasion genomics. We annotated the genome using two workflows-standalone AUGUSTUS and BRAKER2. We found that AUGUSTUS was more conservative with gene predictions when compared with BRAKER2. The final number of annotated gene models was similar between the two workflows, but standalone AUGUSTUS had over 70% of gene predictions with Blast2GO annotations versus under 30% using BRAKER2. Additionally, we tested whether using RNA-seq data from 47 samples had a significant impact on annotation quality when compared with data from a single sample, as generating RNA-seq data for genome annotation can be expensive and requires well preserved tissue. We found that more data did not significantly change the number of annotated genes using AUGUSTUS but using BRAKER2 the number increased substantially. The results presented here will aid researchers in annotating draft genomes of nonmodel species as well as those studying invasion success.

摘要

20 世纪初引入夏威夷的日本白眼或莺(Zosterops japonicus)现已成为该群岛最丰富的陆地鸟类。在这里,我们展示了第一个入侵范围内个体的 Z. japonicus 基因组。该基因组为未来的入侵基因组学研究提供了重要资源。我们使用两种工作流程(独立的 AUGUSTUS 和 BRAKER2)对基因组进行注释。与 BRAKER2 相比,AUGUSTUS 在基因预测方面更为保守。两种工作流程的注释基因模型数量相似,但独立的 AUGUSTUS 中有超过 70%的基因预测具有 Blast2GO 注释,而使用 BRAKER2 的则不到 30%。此外,我们还测试了与单个样本相比,使用 47 个样本的 RNA-seq 数据是否对注释质量有显著影响,因为生成用于基因组注释的 RNA-seq 数据可能很昂贵,并且需要保存良好的组织。我们发现,使用 AUGUSTUS 时,更多的数据并不会显著增加注释基因的数量,但使用 BRAKER2 时,注释基因的数量会大幅增加。这里呈现的结果将有助于研究人员注释非模式物种的草图基因组,以及研究入侵成功的研究人员。

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