Precise genotyping of circular mobile elements from metagenomic data uncovers human-associated plasmids with recent common ancestors.
Precise genotyping of circular mobile elements from metagenomic data uncovers human-associated plasmids with recent common ancestors.
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DOI:
10.1101/gr.275894.121
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发表时间:
2022-05
期刊:
影响因子:
7
通讯作者:
Yaffe, Eitan
中科院分区:
文献类型:
--
作者:
Shalon, Nitan;Relman, David A.;Yaffe, Eitan
Mobile genetic elements with circular genomes play a key role in the evolution of microbial communities. Their circular genomes correspond to circular walks in metagenome graphs, and yet, assemblies derived from natural microbial communities produce graphs riddled with spurious cycles, complicating the accurate reconstruction of circular genomes. We present DomCycle, an algorithm that reconstructs likely circular genomes based on the identification of so-called “dominant” graph cycles. In the implementation, we leverage paired reads to bridge assembly gaps and scrutinize cycles through a nucleotide-level analysis, making the approach robust to misassembly artifacts. We validated the approach using simulated and real sequencing data. Application of DomCycle to 32 publicly available DNA shotgun sequence data sets from diverse natural environments led to the reconstruction of hundreds of circular mobile genomes. Clustering revealed 20 highly prevalent and cryptic plasmids that have clonal population structures with recent common ancestors. This method facilitates the study of microbial communities that evolve through horizontal gene transfer.
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影响因子:
14.9
作者:
Galata V;Fehlmann T;Backes C;Keller A
通讯作者:
Keller A
影响因子:
4.5
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Lanza VF;de Toro M;Garcillán-Barcia MP;Mora A;Blanco J;Coque TM;de la Cruz F
通讯作者:
de la Cruz F
影响因子:
4.4
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Feng, Juan
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17.1
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Conlan S;Thomas PJ;Deming C;Park M;Lau AF;Dekker JP;Snitkin ES;Clark TA;Luong K;Song Y;Tsai YC;Boitano M;Dayal J;Brooks SY;Schmidt B;Young AC;Thomas JW;Bouffard GG;Blakesley RW;NISC Comparative Sequencing Program;Mullikin JC;Korlach J;Henderson DK;Frank KM;Palmore TN;Segre JA
通讯作者:
Segre JA
影响因子:
64.8
作者:
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通讯作者:
White, Owen