An optimized approach for local de novo assembly of overlapping paired-end RAD reads from multiple individuals | |
Li, Yu-Long1,2; Xue, Dong-Xiu1,2; Zhang, Bai-Dong1,2; Liu, Jin-Xian1,2 | |
刊名 | ROYAL SOCIETY OPEN SCIENCE |
2018-02-01 | |
卷号 | 5期号:2页码:11 |
关键词 | overlapping paired-end sequencing RAD-seq optimized assembly pipeline software optimal clustering |
ISSN号 | 2054-5703 |
DOI | 10.1098/rsos.171589 |
通讯作者 | Liu, Jin-Xian(jinxianliu@gmail.com) |
英文摘要 | Restriction site-associated DNA (RAD) sequencing is revolutionizing studies in ecological, evolutionary and conservation genomics. However, the assembly of paired-end RAD reads with random-sheared ends is still challenging, especially for non-model species with high genetic variance. Here, we present an efficient optimized approach with a pipeline software, RADassembler, which makes full use of paired-end RAD reads with random-sheared ends from multiple individuals to assemble RAD contigs. RADassembler integrates the algorithms for choosing the optimal number of mismatches within and across individuals at the clustering stage, and then uses a two-step assembly approach at the assembly stage. RADassembler also uses data reduction and parallelization strategies to promote efficiency. Compared to other tools, both the assembly results based on simulation and real RAD datasets demonstrated that RADassembler could always assemble the appropriate number of contigs with high qualities, and more read pairs were properly mapped to the assembled contigs. This approach provides an optimal tool for dealing with the complexity in the assembly of paired-end RAD reads with random-sheared ends for non-model species in ecological, evolutionary and conservation studies. |
资助项目 | National Natural Science Foundation of China (NSFC)[41676137] ; National Natural Science Foundation of China (NSFC)[31502169] ; AoShan Talents Program Qingdao National Laboratory for Marine Science and Technology[2015ASTP-ES05] ; NSFC-Shandong Joint Fund for Marine Ecology and Environmental Sciences[U1606404] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | ROYAL SOC |
WOS记录号 | WOS:000426465700055 |
内容类型 | 期刊论文 |
源URL | [http://ir.qdio.ac.cn/handle/337002/157601] |
专题 | 海洋研究所_海洋生态与环境科学重点实验室 |
通讯作者 | Liu, Jin-Xian |
作者单位 | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, 7 Nanhai Rd, Qingdao 266071, Shandong, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yu-Long,Xue, Dong-Xiu,Zhang, Bai-Dong,et al. An optimized approach for local de novo assembly of overlapping paired-end RAD reads from multiple individuals[J]. ROYAL SOCIETY OPEN SCIENCE,2018,5(2):11. |
APA | Li, Yu-Long,Xue, Dong-Xiu,Zhang, Bai-Dong,&Liu, Jin-Xian.(2018).An optimized approach for local de novo assembly of overlapping paired-end RAD reads from multiple individuals.ROYAL SOCIETY OPEN SCIENCE,5(2),11. |
MLA | Li, Yu-Long,et al."An optimized approach for local de novo assembly of overlapping paired-end RAD reads from multiple individuals".ROYAL SOCIETY OPEN SCIENCE 5.2(2018):11. |
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