Dataset Information

The de novo genome assembly of Tapiscia sinensis and the transcriptomic and developmental bases of androdioecy.

ABSTRACT: Tapiscia sinensis (Tapisciaceae) possesses an unusual androdioecious breeding system that has attracted considerable interest from evolutionary biologists. Key aspects of T. sinensis biology, including its biogeography, genomics, and sex-linked genes, are unknown. Here, we report the first de novo assembly of the genome of T. sinensis. The genome size was 410?Mb, with 22,251 predicted genes. Based on whole-genome resequencing of 55 trees from 10 locations, an analysis of population genetic structure indicated that T. sinensis has fragmented into five lineages, with low intrapopulation genetic diversity and little gene flow among populations. By comparing whole-genome scans of male versus hermaphroditic pools, we identified 303 candidate sex-linked genes, 79 of which (25.9%) were located on scaffold 25. A 24-kb region was absent in hermaphroditic individuals, and five genes in that region, TsF-box4, TsF-box10, TsF-box13, TsSUT1, and TsSUT4, showed expression differences between mature male and hermaphroditic flowers. The results of this study shed light on the breeding system evolution and conservation genetics of the Tapisciaceae.

SUBMITTER: Zhao P

PROVIDER: S-EPMC7705024 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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The de novo genome assembly of Tapiscia sinensis and the transcriptomic and developmental bases of androdioecy.

Zhao Peng P Xin Guiliang G Yan Feng F Wang Huan H Ren Xiaolong X Woeste Keith K Liu Wenzhe W

Horticulture research 20201201 1

Tapiscia sinensis (Tapisciaceae) possesses an unusual androdioecious breeding system that has attracted considerable interest from evolutionary biologists. Key aspects of T. sinensis biology, including its biogeography, genomics, and sex-linked genes, are unknown. Here, we report the first de novo assembly of the genome of T. sinensis. The genome size was 410 Mb, with 22,251 predicted genes. Based on whole-genome resequencing of 55 trees from 10 locations, an analysis of population genetic struc ...[more]

PMID: 33328438

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Project description:MotivationThere are very few methods for de novo genome assembly based on the overlap graph approach. It is considered as giving more exact results than the so-called de Bruijn graph approach but in much greater time and of much higher memory usage. It is not uncommon that assembly methods involving the overlap graph model are not able to successfully compute greater datasets, mainly due to memory limitation of a computer. This was the reason for developing in last decades mainly de Bruijn-based assembly methods, fast and fairly accurate. However, the latter methods can fail for longer or more repetitive genomes, as they decompose reads to shorter fragments and lose a part of information. An efficient assembler for processing big datasets and using the overlap graph model is still looked out.ResultsWe propose a new genome-scale de novo assembler based on the overlap graph approach, designed for short-read sequencing data. The method, ALGA, incorporates several new ideas resulting in more exact contigs produced in short time. Among these ideas, we have creation of a sparse but quite informative graph, reduction of the graph including a procedure referring to the problem of minimum spanning tree of a local subgraph, and graph traversal connected with simultaneous analysis of contigs stored so far. What is rare in genome assembly, the algorithm is almost parameter-free, with only one optional parameter to be set by a user. ALGA was compared with nine state-of-the-art assemblers in tests on genome-scale sequencing data obtained from real experiments on six organisms, differing in size, coverage, GC content and repetition rate. ALGA produced best results in the sense of overall quality of genome reconstruction, understood as a good balance between genome coverage, accuracy and length of resulting sequences. The algorithm is one of tools involved in processing data in currently realized national project Genomic Map of Poland.Availability and implementationALGA is available at http://alga.put.poznan.pl.Supplementary informationSupplementary data are available at Bioinformatics online.

Dataset Information

The de novo genome assembly of Tapiscia sinensis and the transcriptomic and developmental bases of androdioecy.

Publications

The de novo genome assembly of Tapiscia sinensis and the transcriptomic and developmental bases of androdioecy.

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