Advance in the assembly of the plant mitochondrial genomes using high‐throughput DNA sequencing data of total cellular DNAs

IF 10.5 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Yang Ni, Jingling Li, Yihui Tan, Guoan Shen, Chang Liu
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Abstract

SummaryThe assembly of plant mitochondrial genomes presents unique challenges due to difficulties in isolating mitochondrial DNA (mtDNA) and plant mitochondrial genome characteristics, such as low interspecific conservation; sequence sharing among mitochondrial, nuclear and plastid DNAs; and complex structural variations. Our laboratory has sequenced and assembled a dozen plant mitochondrial genomes, testing various strategies and identifying numerous assembly issues. This review compared the advanced methods and tools for plant mitochondrial genome assembly, categorizing assembly algorithms into three groups: (1) reference‐based, (2) de novo and (3) iterative mapping and extension. The performance of 11 software tools used most frequently over the past 5 years (GetOrganelle, Velvet, NOVOPlasty, SOAPdenovo2, Canu, Flye, SMARTdenovo, PMAT, NextDenovo, SPAdes and Unicycler) and two newly developed tools (TIPPo and Oatk) was assessed. The evaluation metrics included the completeness, contiguity and correctness of the assembled plant mitochondrial genomes. SMARTdenovo, NextDenovo and Oatk demonstrated superior performance in terms of contiguity and completeness. GetOrganelle and Flye excelled in correctness. Key challenges in plant mitochondrial genome assembly, such as removing nuclear mitochondrial DNA (NUMT) and mitochondrial plastid DNA (NUPT) contamination and resolving intra‐genomic repetitive regions, were discussed. A general strategy for plant mitochondrial genome assembly used in studies conducted in our laboratory was summarized. This review serves as a resource for those assembling plant mitochondrial genomes or developing plant mitochondrial genome assembly tools.
利用细胞总DNA高通量测序数据组装植物线粒体基因组的研究进展
植物线粒体基因组的组装面临着独特的挑战,因为线粒体DNA (mtDNA)的分离困难和植物线粒体基因组的特征,如低种间保守性;线粒体、核和质体dna序列共享;以及复杂的结构变化。我们的实验室已经对十几种植物的线粒体基因组进行了测序和组装,测试了各种策略并确定了许多组装问题。本文比较了植物线粒体基因组组装的先进方法和工具,将组装算法分为三类:(1)基于参考的,(2)从头开始和(3)迭代映射和扩展。评估了过去5年中最常用的11种软件工具(GetOrganelle、Velvet、NOVOPlasty、SOAPdenovo2、Canu、Flye、SMARTdenovo、PMAT、NextDenovo、SPAdes和Unicycler)和两种新开发的工具(TIPPo和Oatk)的性能。评估指标包括组装的植物线粒体基因组的完整性、连续性和正确性。SMARTdenovo、NextDenovo和Oatk在连续性和完整性方面表现出优异的性能。GetOrganelle和Flye在正确性方面表现出色。讨论了植物线粒体基因组组装的主要挑战,如去除核线粒体DNA (NUMT)和线粒体质体DNA (NUPT)污染和解决基因组内重复区域。总结了在我们实验室进行的研究中植物线粒体基因组组装的一般策略。本文综述可为植物线粒体基因组组装或开发植物线粒体基因组组装工具提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Plant Biotechnology Journal
Plant Biotechnology Journal 生物-生物工程与应用微生物
CiteScore
20.50
自引率
2.90%
发文量
201
审稿时长
1 months
期刊介绍: Plant Biotechnology Journal aspires to publish original research and insightful reviews of high impact, authored by prominent researchers in applied plant science. The journal places a special emphasis on molecular plant sciences and their practical applications through plant biotechnology. Our goal is to establish a platform for showcasing significant advances in the field, encompassing curiosity-driven studies with potential applications, strategic research in plant biotechnology, scientific analysis of crucial issues for the beneficial utilization of plant sciences, and assessments of the performance of plant biotechnology products in practical applications.
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