The complete mitochondrial genome of the deep-sea methanotrophic sponges Hymedesmia methanophila and Iophon methanophila: leveraging 'waste' in metagenomic data.

IF 2.9 4区 生物学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Genetics Pub Date : 2024-01-01
Dora de Moura Barbosa Leite, Thiago Silva de Paula, Eduardo Hajdu
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Abstract

A significant proportion of next-generation sequencing (NGS) data ends up not being used since they comprise information out-of-scope of the primary studies. This 'waste' of potential can be harnessed to explore organellar genomes, such as the mitochondrial DNA, and be used for evolutionary, conservation and biodiversity research. We present the complete mitochondrial genomes of the deep-sea methanotrophic sponges Hymedesmia methanophila and Iophon methanophila (Demospongiae, Poecilosclerida) retrieved from previously published whole metagenome sequencing data. The predicted mitogenome of H. methanophila (18,657 bp) and I. methanophila (18,718 bp) present the characteristic arrangement observed among Poecilosclerida sponges. These mtDNAs encode the usual set of 14 proteins, two ribosomal RNA, and 24 or 23 transfer RNA genes, respectively, with intergenic regions amounting ~5% of their total length. The overall similarity of these mitogenomes to those of phylogenetic relatives, both in organization and divergence, suggests that neither their extremophilic habitat in asphalt seeps within the deep sea nor their symbiotic association with methaneoxidizing bacteria imposed a major influence on the evolution of their mitochondrial genome. This research shows how metagenomic data can be leveraged to extract additional genetic knowledge from primary metagenome sources, and by exploiting previously unexplored sequencing data, valuable information can be unlocked to shed light on the evolutionary dynamics of diverse organisms inhabiting extreme environments.

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深海产甲烷海绵Hymedesmia methanophila和Iophon methanophila的完整线粒体基因组:利用元基因组数据中的“废物”。
很大一部分下一代测序(NGS)数据最终没有被使用,因为它们包含了初步研究范围之外的信息。这种潜力的“浪费”可以用来探索细胞器基因组,例如线粒体DNA,并用于进化、保护和生物多样性研究。我们从先前发表的全宏基因组测序数据中检索了深海产甲烷海绵Hymedesmia methanophila和Iophon methanophila (Demospongiae, Poecilosclerida)。预测的嗜甲烷H. (18657 bp)和嗜甲烷I. (18718 bp)有丝分裂基因组与Poecilosclerida海绵中观察到的特征排列一致。这些mtdna分别编码14种蛋白质、2种核糖体RNA和24或23种转移RNA基因,基因间区约占其总长度的5%。这些有丝分裂基因组在组织和分化方面与系统发育亲缘物种的总体相似性表明,无论是深海沥青渗漏中的极端环境,还是与甲烷氧化细菌的共生关系,都没有对其线粒体基因组的进化产生重大影响。这项研究显示了如何利用宏基因组数据从初级宏基因组来源提取额外的遗传知识,并且通过利用以前未开发的测序数据,可以解锁有价值的信息,以揭示生活在极端环境中的各种生物体的进化动态。
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来源期刊
Journal of Genetics
Journal of Genetics 生物-遗传学
CiteScore
3.10
自引率
0.00%
发文量
72
审稿时长
1 months
期刊介绍: The journal retains its traditional interest in evolutionary research that is of relevance to geneticists, even if this is not explicitly genetical in nature. The journal covers all areas of genetics and evolution,including molecular genetics and molecular evolution.It publishes papers and review articles on current topics, commentaries and essayson ideas and trends in genetics and evolutionary biology, historical developments, debates and book reviews. From 2010 onwards, the journal has published a special category of papers termed ‘Online Resources’. These are brief reports on the development and the routine use of molecular markers for assessing genetic variability within and among species. Also published are reports outlining pedagogical approaches in genetics teaching.
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