To Trim or Not to Trim: Effects of Read Trimming on the De Novo Genome Assembly of a Widespread East Asian Passerine, the Rufous-Capped Babbler (Cyanoderma ruficeps Blyth)

Author:

Yang Shang-Fang,Lu Chia-Wei,Yao Cheng-Te,Hung Chih-Ming

Abstract

Trimming low quality bases from sequencing reads is considered as routine procedure for genome assembly; however, we know little about its pros and cons. Here, we used empirical data to examine how read trimming affects assembled genome quality and computational time for a widespread East Asian passerine, the rufous-capped babbler (Cyanoderma ruficeps Blyth). We found that scaffolds assembled from raw reads were always longer than those from trimmed ones, whereas computational times for the former were sometimes much longer than the latter. Nevertheless, assembly completeness showed little difference among the trimming strategies. One should determine the optimal trimming strategy based on what the assembled genome will be used for. For example, to identify single nucleotide polymorphisms (SNPs) associated with phenotypic evolution, applying PLATANUS to gently trim reads would yield a reference genome with a slightly shorter scaffold length (N50 = 15.64 vs. 16.89 Mb) than the raw reads, but would save 75% of computational time. We also found that chromosomes Z, W, and 4A of the rufous-capped babbler were poorly assembled, likely due to a recently fused, neo-sex chromosome. The rufous-capped babbler genome with long scaffolds and quality gene annotation can provide a good system to study avian ecological adaptation in East Asia.

Funder

Ministry of Science and Technology, Taiwan

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3