101
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Mak SST, Gopalakrishnan S, Carøe C, Geng C, Liu S, Sinding MHS, Kuderna LFK, Zhang W, Fu S, Vieira FG, Germonpré M, Bocherens H, Fedorov S, Petersen B, Sicheritz-Pontén T, Marques-Bonet T, Zhang G, Jiang H, Gilbert MTP. Erratum to: Comparative performance of the BGISEQ-500 vs Illumina HiSeq2500 sequencing platforms for palaeogenomic sequencing. Gigascience 2018; 7:5232643. [PMID: 30535251 PMCID: PMC6284137 DOI: 10.1093/gigascience/giy151] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Sarah Siu Tze Mak
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark
| | - Shyam Gopalakrishnan
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark
| | - Christian Carøe
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark.,DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | | | - Shanlin Liu
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark.,China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Mikkel-Holger S Sinding
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark.,Natural History Museum, University of Oslo, PO Box 1172 Blindern, N-0318 Oslo, Norway.,The Qimmeq Project, University of Greenland, Manutooq 1, PO Box 1061, 3905 Nuussuaq, Greenland
| | - Lukas F K Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | | | - Shujin Fu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Filipe G Vieira
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark
| | - Mietje Germonpré
- OD Earth and History of Life, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000 Brussels, Belgium
| | - Hervé Bocherens
- Department of Geosciences, Palaeobiology, University of Tübingen, Tübingen, Germany.,Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Sergey Fedorov
- Mammoth Museum, Institute of Applied Ecology of the North of the North-Eastern Federal University, ul. Kulakovskogo 48, 677980 Yakutsk, Russia
| | - Bent Petersen
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | - Thomas Sicheritz-Pontén
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain.,Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China.,Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, Copenhagen DK-2100, Denmark
| | - Hui Jiang
- BGI-Shenzhen, Shenzhen 518083, China
| | - M Thomas P Gilbert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7,1350 Copenhagen, Denmark.,Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, 6102 Perth, Australia.,Norwegian University of Science and Technology, University Museum, 7491 Trondheim, Norway
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102
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Fang C, Zhong H, Lin Y, Chen B, Han M, Ren H, Lu H, Luber JM, Xia M, Li W, Stein S, Xu X, Zhang W, Drmanac R, Wang J, Yang H, Hammarström L, Kostic AD, Kristiansen K, Li J. Assessment of the cPAS-based BGISEQ-500 platform for metagenomic sequencing. Gigascience 2018; 7:1-8. [PMID: 29293960 PMCID: PMC5848809 DOI: 10.1093/gigascience/gix133] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 12/19/2017] [Indexed: 11/30/2022] Open
Abstract
Background More extensive use of metagenomic shotgun sequencing in microbiome research relies on the development of high-throughput, cost-effective sequencing. Here we present a comprehensive evaluation of the performance of the new high-throughput sequencing platform BGISEQ-500 for metagenomic shotgun sequencing and compare its performance with that of 2 Illumina platforms. Findings Using fecal samples from 20 healthy individuals, we evaluated the intra-platform reproducibility for metagenomic sequencing on the BGISEQ-500 platform in a setup comprising 8 library replicates and 8 sequencing replicates. Cross-platform consistency was evaluated by comparing 20 pairwise replicates on the BGISEQ-500 platform vs the Illumina HiSeq 2000 platform and the Illumina HiSeq 4000 platform. In addition, we compared the performance of the 2 Illumina platforms against each other. By a newly developed overall accuracy quality control method, an average of 82.45 million high-quality reads (96.06% of raw reads) per sample, with 90.56% of bases scoring Q30 and above, was obtained using the BGISEQ-500 platform. Quantitative analyses revealed extremely high reproducibility between BGISEQ-500 intra-platform replicates. Cross-platform replicates differed slightly more than intra-platform replicates, yet a high consistency was observed. Only a low percentage (2.02%–3.25%) of genes exhibited significant differences in relative abundance comparing the BGISEQ-500 and HiSeq platforms, with a bias toward genes with higher GC content being enriched on the HiSeq platforms. Conclusions Our study provides the first set of performance metrics for human gut metagenomic sequencing data using BGISEQ-500. The high accuracy and technical reproducibility confirm the applicability of the new platform for metagenomic studies, though caution is still warranted when combining metagenomic data from different platforms.
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Affiliation(s)
- Chao Fang
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Huanzi Zhong
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Yuxiang Lin
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Bing Chen
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Mo Han
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Huahui Ren
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Haorong Lu
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China
| | - Jacob M Luber
- Program in Bioinformatics and Integrative Genomics, Division of Medical Sciences, Harvard Medical School, BIG Program Office, 10 Shattuck Street, Countway Library, 4th Floor, Boston, MA 02115, USA.,Graduate School of Arts and Sciences, Harvard University, Richard A. and Susan F. Smith Campus Center, 1350 Massachusetts Avenue, Suite 350, Cambridge, MA 02138-3654, USA.,Section on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA.,Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA.,Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, 4th Floor, Boston, MA 02115, USA
| | - Min Xia
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China
| | - Wangsheng Li
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China
| | - Shayna Stein
- Graduate School of Arts and Sciences, Harvard University, Richard A. and Susan F. Smith Campus Center, 1350 Massachusetts Avenue, Suite 350, Cambridge, MA 02138-3654, USA.,Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215-5450, USA.,Department of Biostatistics, Harvard TH Chan School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston, MA 02115, USA
| | - Xun Xu
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China
| | - Wenwei Zhang
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Radoje Drmanac
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China
| | - Jian Wang
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, No.51, Zhijiang Road, Xihu District, Hangzhou, Zhejiang Province, 310058, P. R. China
| | - Huanming Yang
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, No.51, Zhijiang Road, Xihu District, Hangzhou, Zhejiang Province, 310058, P. R. China
| | - Lennart Hammarström
- Division of Clinical Immunology and Transfusion Medicine, Department of Laboratory Medicine, Clinical University Hospital, Huddinge, SE-14186 Stockholm, Sweden
| | - Aleksandar D Kostic
- Section on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA.,Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, One Joslin Place, Boston, MA 02215, USA.,Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, 4th Floor, Boston, MA 02115, USA
| | - Karsten Kristiansen
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark
| | - Junhua Li
- BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Dapeng New District, Shenzhen 518120, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.,School of Bioscience and Biotechnology, South China University of Technology, No.381 Wushan Road, Tianhe District, Guangzhou, Guangdong 510630, China
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103
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Moreno-Mayar JV, Vinner L, de Barros Damgaard P, de la Fuente C, Chan J, Spence JP, Allentoft ME, Vimala T, Racimo F, Pinotti T, Rasmussen S, Margaryan A, Iraeta Orbegozo M, Mylopotamitaki D, Wooller M, Bataille C, Becerra-Valdivia L, Chivall D, Comeskey D, Devièse T, Grayson DK, George L, Harry H, Alexandersen V, Primeau C, Erlandson J, Rodrigues-Carvalho C, Reis S, Bastos MQR, Cybulski J, Vullo C, Morello F, Vilar M, Wells S, Gregersen K, Hansen KL, Lynnerup N, Mirazón Lahr M, Kjær K, Strauss A, Alfonso-Durruty M, Salas A, Schroeder H, Higham T, Malhi RS, Rasic JT, Souza L, Santos FR, Malaspinas AS, Sikora M, Nielsen R, Song YS, Meltzer DJ, Willerslev E. Early human dispersals within the Americas. Science 2018; 362:science.aav2621. [DOI: 10.1126/science.aav2621] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 10/30/2018] [Indexed: 12/16/2022]
Abstract
Studies of the peopling of the Americas have focused on the timing and number of initial migrations. Less attention has been paid to the subsequent spread of people within the Americas. We sequenced 15 ancient human genomes spanning from Alaska to Patagonia; six are ≥10,000 years old (up to ~18× coverage). All are most closely related to Native Americans, including those from an Ancient Beringian individual and two morphologically distinct “Paleoamericans.” We found evidence of rapid dispersal and early diversification that included previously unknown groups as people moved south. This resulted in multiple independent, geographically uneven migrations, including one that provides clues of a Late Pleistocene Australasian genetic signal, as well as a later Mesoamerican-related expansion. These led to complex and dynamic population histories from North to South America.
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104
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Yu N, Cao L, Yuan L, Zhi X, Chen Y, Gan S, Chen L. Maintenance of grafting-induced epigenetic variations in the asexual progeny of Brassica oleracea and B. juncea chimera. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 96:22-38. [PMID: 30086201 DOI: 10.1111/tpj.14058] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/23/2018] [Accepted: 07/31/2018] [Indexed: 05/19/2023]
Abstract
Grafting-induced variations have been observed in many plant species, but the heritability of variation in progeny is not well understood. In our study, adventitious shoots from the C cell lineage of shoot apical meristem (SAM) grafting chimera TCC (where the origin of the outmost, middle and innermost cell layers, respectively, of SAM is designated by 'T' for tuber mustard and 'C' for red cabbage) were induced and identified as r-CCC (r = regenerated). To investigate the maintenance of grafting variations during cell propagation and regeneration, different generations of asexual progeny (r-CCCn, n = generation) were established through successive regeneration of axillary shoots from r-CCC. The fourth generation of r-CCC (r-CCC4) was selected to perform whole genome bisulfite sequencing for comparative analysis of hetero-grafting-induced global methylation changes relative to r-s-CCC4 (s = self-grafting). Increased CHH methylation levels and proportions were observed in r-CCC4, with substantial changes occurring in the repeat elements. Small RNA sequencing revealed 1135 specific small interfering RNA (siRNA) tags that were typically expressed in r-CCC, r-CCC2 and r-CCC4. Notably, 65% of these specific siRNAs were associated with repeat elements, termed RE siRNAs. Subsequent analysis revealed that the CHH methylation of RE siRNA-overlapping regions was mainly hypermethylation in r-CCC4, indicating that they were responsible for directing and maintaining grafting-induced CHH methylation. Moreover, the expression of 13 differentially methylated genes (DMGs) correlated with the phenotypic variation, showing differential expression levels between r-CCC4 and r-s-CCC4. These DMGs were predominantly CG hypermethylated, their methylation modifications corresponded to the transcription of relative methyltransferase.
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Affiliation(s)
- Ningning Yu
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Liwen Cao
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Lu Yuan
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Xiao Zhi
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Yiqian Chen
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Susheng Gan
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Liping Chen
- Department of Horticulture, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
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105
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Zhu FY, Chen MX, Ye NH, Qiao WM, Gao B, Law WK, Tian Y, Zhang D, Zhang D, Liu TY, Hu QJ, Cao YY, Su ZZ, Zhang J, Liu YG. Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants. PLANT METHODS 2018; 14:69. [PMID: 30123314 PMCID: PMC6088413 DOI: 10.1186/s13007-018-0337-0] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 08/06/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND The next-generation sequencing (NGS) technology has greatly facilitated genomic and transcriptomic studies, contributing significantly in expanding the current knowledge on genome and transcriptome. However, the continually evolving variety of sequencing platforms, protocols and analytical pipelines has led the research community to focus on cross-platform evaluation and standardization. As a NGS pioneer in China, the Beijing Genomics Institute (BGI) has announced its own NGS platform designated as BGISEQ-500, since 2016. The capability of this platform in large-scale DNA sequencing and small RNA analysis has been already evaluated. However, the comparative performance of BGISEQ-500 platform in transcriptome analysis remains yet to be elucidated. The Illumina series, a leading sequencing platform in China's sequencing market, would be a preferable reference to evaluate new platforms. METHODS To this end, we describe a cross-platform comparative study between BGISEQ-500 and Illumina HiSeq4000 for analysis of Arabidopsis thaliana WT (Col 0) transcriptome. The key parameters in RNA sequencing and transcriptomic data processing were assessed in biological replicate experiments, using aforesaid platforms. RESULTS The results from the two platforms BGISEQ-500 and Illumina HiSeq4000 shared high concordance in both inter- (correlation, 0.88-0.93) and intra-platform (correlation, 0.95-0.98) comparison for gene quantification, identification of differentially expressed genes and alternative splicing events. However, the two platforms yielded highly variable interpretation results for single nucleotide polymorphism and insertion-deletion analysis. CONCLUSION The present case study provides a comprehensive reference dataset to validate the capability of BGISEQ-500 enabling it to be established as a competitive and reliable platform in plant transcriptome analysis.
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Affiliation(s)
- Fu-Yuan Zhu
- State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, 210037 Jiangsu Province China
| | - Mo-Xian Chen
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Neng-Hui Ye
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, 410128 China
| | | | - Bei Gao
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Wai-Ki Law
- BGI-Shenzhen, Shenzhen, People’s Republic of China
| | - Yuan Tian
- State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China
| | - Dong Zhang
- BGI-Shenzhen, Shenzhen, People’s Republic of China
| | - Di Zhang
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Tie-Yuan Liu
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Qi-Juan Hu
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Yun-Ying Cao
- College of Life Sciences, Nantong University, Nantong, Jiangsu China
| | - Ze-Zhuo Su
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, Hong Kong, SAR
| | - Jianhua Zhang
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
- Department of Biology, Hong Kong Baptist University, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Ying-Gao Liu
- State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, Shandong China
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106
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Mak SST, Gopalakrishnan S, Carøe C, Geng C, Liu S, Sinding MHS, Kuderna LFK, Zhang W, Fu S, Vieira FG, Germonpré M, Bocherens H, Fedorov S, Petersen B, Sicheritz-Pontén T, Marques-Bonet T, Zhang G, Jiang H, Gilbert MTP. Comparative performance of the BGISEQ-500 vs Illumina HiSeq2500 sequencing platforms for palaeogenomic sequencing. Gigascience 2018; 6:1-13. [PMID: 28854615 PMCID: PMC5570000 DOI: 10.1093/gigascience/gix049] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Accepted: 06/20/2017] [Indexed: 12/30/2022] Open
Abstract
Ancient DNA research has been revolutionized following development of next-generation sequencing platforms. Although a number of such platforms have been applied to ancient DNA samples, the Illumina series are the dominant choice today, mainly because of high production capacities and short read production. Recently a potentially attractive alternative platform for palaeogenomic data generation has been developed, the BGISEQ-500, whose sequence output are comparable with the Illumina series. In this study, we modified the standard BGISEQ-500 library preparation specifically for use on degraded DNA, then directly compared the sequencing performance and data quality of the BGISEQ-500 to the Illumina HiSeq2500 platform on DNA extracted from 8 historic and ancient dog and wolf samples. The data generated were largely comparable between sequencing platforms, with no statistically significant difference observed for parameters including level (P = 0.371) and average sequence length (P = 0718) of endogenous nuclear DNA, sequence GC content (P = 0.311), double-stranded DNA damage rate (v. 0.309), and sequence clonality (P = 0.093). Small significant differences were found in single-strand DNA damage rate (δS; slightly lower for the BGISEQ-500, P = 0.011) and the background rate of difference from the reference genome (θ; slightly higher for BGISEQ-500, P = 0.012). This may result from the differences in amplification cycles used to polymerase chain reaction–amplify the libraries. A significant difference was also observed in the mitochondrial DNA percentages recovered (P = 0.018), although we believe this is likely a stochastic effect relating to the extremely low levels of mitochondria that were sequenced from 3 of the samples with overall very low levels of endogenous DNA. Although we acknowledge that our analyses were limited to animal material, our observations suggest that the BGISEQ-500 holds the potential to represent a valid and potentially valuable alternative platform for palaeogenomic data generation that is worthy of future exploration by those interested in the sequencing and analysis of degraded DNA.
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Affiliation(s)
- Sarah Siu Tze Mak
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | - Shyam Gopalakrishnan
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | - Christian Carøe
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark.,DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | | | - Shanlin Liu
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark.,China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China
| | - Mikkel-Holger S Sinding
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark.,Natural History Museum, University of Oslo, PO Box 1172 Blindern, N-0318 Oslo, Norway.,The Qimmeq Project, University of Greenland, Manutooq 1, PO Box 1061, 3905 Nuussuaq, Greenland
| | - Lukas F K Kuderna
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | | | - Shujin Fu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Filipe G Vieira
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | - Mietje Germonpré
- OD Earth and History of Life, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000 Brussels, Belgium
| | - Hervé Bocherens
- Department of Geosciences, Palaeobiology, University of Tübingen, Tübingen, Germany.,Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Sergey Fedorov
- Mammoth Museum, Institute of Applied Ecology of the North of the North-Eastern Federal University, ul. Kulakovskogo 48, 677980 Yakutsk, Russia
| | - Bent Petersen
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | - Thomas Sicheritz-Pontén
- DTU Bioinformatics, Department of Bio and Health Informatics, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain.,Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen 518083, China.,Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, Copenhagen DK-2100, Denmark
| | - Hui Jiang
- BGI-Shenzhen, Shenzhen 518083, China
| | - M Thomas P Gilbert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark.,Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, 6102 Perth, Australia.,Norwegian University of Science and Technology, University Museum, 7491 Trondheim, Norway
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Li F, Harkess A. A guide to sequence your favorite plant genomes. APPLICATIONS IN PLANT SCIENCES 2018; 6:e1030. [PMID: 29732260 PMCID: PMC5895188 DOI: 10.1002/aps3.1030] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 11/29/2017] [Indexed: 05/12/2023]
Abstract
With the rapid development of sequencing technology and the plummeting cost, assembling whole genomes from non-model plants will soon become routine for plant systematists and evolutionary biologists. Here we summarize and compare several of the latest genome sequencing and assembly approaches, offering a practical guide on how to approach a genome project. We also highlight certain precautions that need to be taken before investing time and money into a genome project.
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Affiliation(s)
- Fay‐Wei Li
- Boyce Thompson InstituteIthacaNew York14853USA
- Plant Biology SectionCornell UniversityIthacaNew York14853USA
| | - Alex Harkess
- Donald Danforth Plant Science CenterSt. LouisMissouri63132USA
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108
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Barnett R, Sinding MHS, Vieira FG, Mendoza MLZ, Bonnet M, Araldi A, Kienast I, Zambarda A, Yamaguchi N, Henschel P, Gilbert MTP. No longer locally extinct? Tracing the origins of a lion ( Panthera leo) living in Gabon. CONSERV GENET 2018; 19:611-618. [PMID: 31007636 PMCID: PMC6448349 DOI: 10.1007/s10592-017-1039-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 12/16/2017] [Indexed: 12/22/2022]
Abstract
Lions (Panthera leo) are of particular conservation concern due to evidence of recent, widespread population declines in what has hitherto been seen as a common species, robust to anthropogenic disturbance. Here we use non-invasive methods to recover complete mitochondrial genomes from single hair samples collected in the field in order to explore the identity of the Gabonese Plateaux Batéké lion. Comparison of the mitogenomes against a comprehensive dataset of African lion sequences that includes relevant geographically proximate lion populations from both contemporary and ancient sources, enabled us to identify the Plateaux Batéké lion as a close maternal relative to now extirpated populations found in Gabon and nearby Congo during the twentieth century, and to extant populations of Southern Africa. Our study demonstrates the relevance of ancient DNA methods to field conservation work, and the ability of trace field samples to provide copious genetic information about free-ranging animals.
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Affiliation(s)
- Ross Barnett
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | - Mikkel-Holder S. Sinding
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
- Natural History Museum, University of Oslo, Blindern, P.O. Box 1172, 0318 Oslo, Norway
| | - Filipe G. Vieira
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
| | | | - Matthieu Bonnet
- The Aspinall Foundation, Port Lympne Wild Animal Park, Hythe, Kent CT21 4PD UK
| | - Alessandro Araldi
- The Aspinall Foundation, Port Lympne Wild Animal Park, Hythe, Kent CT21 4PD UK
| | - Ivonne Kienast
- Congo Program, Wildlife Conservation Society, Brazzaville, Congo
| | - Alice Zambarda
- The Aspinall Foundation, Port Lympne Wild Animal Park, Hythe, Kent CT21 4PD UK
| | - Nobuyuki Yamaguchi
- Department of Biological and Environmental Sciences, Qatar University, Doha, Qatar
| | - Philipp Henschel
- Panthera, 8 West 40th Street, 18th Floor, New York, NY 10018 USA
- Institut de Recherche en Ecologie Tropicale, CENAREST, BP 842 Libreville, Gabon
| | - M. Thomas P. Gilbert
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
- NTNU University Museum, 7491 Trondheim, Norway
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109
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Patch AM, Nones K, Kazakoff SH, Newell F, Wood S, Leonard C, Holmes O, Xu Q, Addala V, Creaney J, Robinson BW, Fu S, Geng C, Li T, Zhang W, Liang X, Rao J, Wang J, Tian M, Zhao Y, Teng F, Gou H, Yang B, Jiang H, Mu F, Pearson JV, Waddell N. Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing. PLoS One 2018; 13:e0190264. [PMID: 29320538 PMCID: PMC5761881 DOI: 10.1371/journal.pone.0190264] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Accepted: 12/11/2017] [Indexed: 01/01/2023] Open
Abstract
Technological innovation and increased affordability have contributed to the widespread adoption of genome sequencing technologies in biomedical research. In particular large cancer research consortia have embraced next generation sequencing, and have used the technology to define the somatic mutation landscape of multiple cancer types. These studies have primarily utilised the Illumina HiSeq platforms. In this study we performed whole genome sequencing of three malignant pleural mesothelioma and matched normal samples using a new platform, the BGISEQ-500, and compared the results obtained with Illumina HiSeq X Ten. Germline and somatic, single nucleotide variants and small insertions or deletions were independently identified from data aligned human genome reference. The BGISEQ-500 and HiSeq X Ten platforms showed high concordance for germline calls with genotypes from SNP arrays (>99%). The germline and somatic single nucleotide variants identified in both sequencing platforms were highly concordant (86% and 72% respectively). These results indicate the potential applicability of the BGISEQ-500 platform for the identification of somatic and germline single nucleotide variants by whole genome sequencing. The BGISEQ-500 datasets described here represent the first publicly-available cancer genome sequencing performed using this platform.
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Affiliation(s)
- Ann-Marie Patch
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Katia Nones
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Stephen H. Kazakoff
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Felicity Newell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Scott Wood
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Conrad Leonard
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Oliver Holmes
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Qinying Xu
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Venkateswar Addala
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jenette Creaney
- National Centre for Asbestos Related Disease, School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Bruce W. Robinson
- National Centre for Asbestos Related Disease, School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | | | | | - Tong Li
- BGI, BGI-Shenzhen, Shenzhen, China
| | | | | | | | | | | | | | - Fei Teng
- BGI, BGI-Shenzhen, Shenzhen, China
| | | | | | | | - Feng Mu
- BGI, BGI-Shenzhen, Shenzhen, China
| | - John V. Pearson
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nicola Waddell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- * E-mail:
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