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多层次比较生物信息学研究基因注释中的进化关系和特异性:以番茄和葡萄为例。

Multilevel comparative bioinformatics to investigate evolutionary relationships and specificities in gene annotations: an example for tomato and grapevine.

机构信息

Department of Agriculture, University of Naples "Federico II,", Portici, Naples, Italy.

Current address: Research Infrastructures for Marine Biological Resources, Stazione Zoologica Anton Dohrn, Naples, Italy.

出版信息

BMC Bioinformatics. 2018 Nov 30;19(Suppl 15):435. doi: 10.1186/s12859-018-2420-y.

DOI:10.1186/s12859-018-2420-y
PMID:30497367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6266932/
Abstract

BACKGROUND

"Omics" approaches may provide useful information for a deeper understanding of speciation events, diversification and function innovation. This can be achieved by investigating the molecular similarities at sequence level between species, allowing the definition of ortholog and paralog genes. However, the spreading of sequenced genome, often endowed with still preliminary annotations, requires suitable bioinformatics to be appropriately exploited in this framework.

RESULTS

We presented here a multilevel comparative approach to investigate on genome evolutionary relationships and peculiarities of two fleshy fruit species of relevant agronomic interest, Solanum lycopersicum (tomato) and Vitis vinifera (grapevine). We defined 17,823 orthology relationships between tomato and grapevine reference gene annotations. The resulting orthologs are associated with the detected paralogs in each species, permitting the definition of gene networks, useful to investigate the different relationships. The reconciliation of the compared collections in terms of an updating of the functional descriptions was also exploited. All the results were made accessible in ComParaLogs, a dedicated bioinformatics platform available at http://biosrv.cab.unina.it/comparalogs/gene/search .

CONCLUSIONS

The aim of the work was to suggest a reliable approach to detect all similarities of gene loci between two species based on the integration of results from different levels of information, such as the gene, the transcript and the protein sequences, overcoming possible limits due to exclusive protein versus protein comparisons. This to define reliable ortholog and paralog genes, as well as species specific gene loci in the two species, overcoming limits due to the possible draft nature of preliminary gene annotations. Moreover, reconciled functional descriptions, as well as common or peculiar enzymatic classes and protein domains from tomato and grapevine, together with the definition of species-specific gene sets after the pairwise comparisons, contributed a comprehensive set of information useful to comparatively exploit the two species gene annotations and investigate on differences between species with climacteric and non-climacteric fruits. In addition, the definition of networks of ortholog genes and of associated paralogs, and the organization of web-based interfaces for the exploration of the results, defined a friendly computational bench-work in support of comparative analyses between two species.

摘要

背景

“组学”方法可能为深入了解物种形成事件、多样化和功能创新提供有用的信息。这可以通过研究物种间序列水平上的分子相似性来实现,从而定义直系同源和旁系同源基因。然而,已测序基因组的传播,通常具有初步注释,需要适当的生物信息学来在这个框架内进行适当的利用。

结果

我们在这里提出了一种多层次的比较方法,以研究两个具有重要农业意义的肉质水果物种——番茄(Solanum lycopersicum)和葡萄(Vitis vinifera)——的基因组进化关系和特点。我们定义了番茄和葡萄参考基因注释之间的 17823 个直系同源关系。由此产生的直系同源物与每个物种中的检测到的旁系同源物相关联,允许定义基因网络,用于研究不同的关系。还利用了比较集合在功能描述更新方面的协调。所有结果都可以在 ComParaLogs 中获得,这是一个专用的生物信息学平台,可在 http://biosrv.cab.unina.it/comparalogs/gene/search 获得。

结论

这项工作的目的是提出一种可靠的方法,根据基因、转录本和蛋白质序列等不同层次信息的整合,检测两个物种中基因座之间的所有相似性,克服由于仅进行蛋白质与蛋白质比较而可能产生的局限性。这是为了定义可靠的直系同源和旁系同源基因,以及两个物种中特定于物种的基因座,克服由于初步基因注释可能是草案性质而产生的局限性。此外,协调后的功能描述,以及番茄和葡萄共同或特有的酶类和蛋白质结构域,以及在两两比较后定义的物种特异性基因集,提供了一套全面的信息,有助于比较利用两个物种的基因注释,并研究具有呼吸跃变和非呼吸跃变果实的两个物种之间的差异。此外,定义直系同源基因的网络和相关的旁系同源物,并为探索结果组织基于网络的界面,定义了一个友好的计算工作台,支持两个物种之间的比较分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/34e4560a3c3b/12859_2018_2420_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/65740e16505b/12859_2018_2420_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/b14663b6496c/12859_2018_2420_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/95dcb7a86c5b/12859_2018_2420_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/4baa636ad85b/12859_2018_2420_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/07b25b247244/12859_2018_2420_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/34e4560a3c3b/12859_2018_2420_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/65740e16505b/12859_2018_2420_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/b14663b6496c/12859_2018_2420_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/eb45addfd587/12859_2018_2420_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/95dcb7a86c5b/12859_2018_2420_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/4baa636ad85b/12859_2018_2420_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/07b25b247244/12859_2018_2420_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586d/6266932/34e4560a3c3b/12859_2018_2420_Fig7_HTML.jpg

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