Electronic Mapping of a Bacterial Genome with Dual Solid-State Nanopores and Active Single-Molecule Control
Source abstract
Abstract
We present an electronic mapping of a bacterial genome using solid-state nanopore technology. A dual-nanopore architecture and active control logic are used to produce single-molecule data that enables estimation of distances between physical tags installed at sequence motifs within double-stranded DNA. Previously developed "DNA flossing" control logic generates multiple scans of each captured DNA. We extended this logic in two ways: first, to automate "zooming out" on each molecule to progressively increase the number of tags scanned during flossing, and second, to automate recapture of a molecule that exited flossing to enable interrogation of the same and/or different regions of the molecule. Custom analysis methods were developed to produce consensus alignments from each multiscan event. The combined multiscanning and multicapture method was applied to the challenge of mapping from a heterogeneous mixture of single-molecule fragments that make up the Escherichia coli (E. coli) chromosome. Coverage of 3.1× across 2355 resolvable sites of the E. coli genome was achieved after 5.6 h of recording time. The recapture method showed a 38% increase in the merged-event alignment length compared to single-scan alignments. The observed intertag resolution was 150 bp in engineered DNA molecules and 166 bp natively within fragments of E. coli DNA, with detection of 133 intersite intervals shorter than 200 bp in the E. coli reference map. We present results on estimating distances in repetitive regions of the E. coli genome. With an appropriately designed array, higher throughput implementations could enable human-sized genome and epigenome mapping applications.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Nanopore and Nanochannel Transport Studies · Advanced biosensing and bioanalysis techniques · Bacteriophages and microbial interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nooma Bio, 250 Natural Bridges Drive, Santa Cruz, California 95060-5790, United States
Department of Physics, McGill University, 3600 Rue University, Montreal, QC, Canada H3A 2T8
Funding
National Human Genome Research Institute · Nooma Bio, Inc.
References (49)
Show source-provided references
1. 10.1038/nbt.230310.1038/nbt.2303 ↗
2. 10.1021/acs.nanolett.5b0024910.1021/acs.nanolett.5b00249 ↗
3. 10.1021/acs.nanolett.7b0100910.1021/acs.nanolett.7b01009 ↗
4. 10.1021/acs.nanolett.6b0062710.1021/acs.nanolett.6b00627 ↗
5. 10.1038/srep1164310.1038/srep11643 ↗
6. 10.1021/nl301163m10.1021/nl301163m ↗
7. 10.1021/nl300372a10.1021/nl300372a ↗
8. 10.1371/journal.pone.015442610.1371/journal.pone.0154426 ↗
9. 10.1038/s41467-018-07924-110.1038/s41467-018-07924-1 ↗
10. 10.1038/nnano.2016.5010.1038/nnano.2016.50 ↗
11. 10.1021/acs.nanolett.8b0471510.1021/acs.nanolett.8b04715 ↗
12. 10.1002/smll.20210071110.1002/smll.202100711 ↗
13. 10.1038/s41467-017-01584-310.1038/s41467-017-01584-3 ↗
14. 10.1002/adfm.20180755510.1002/adfm.201807555 ↗
15. 10.1146/annurev-anchem-061417-12590310.1146/annurev-anchem-061417-125903 ↗
16. 10.1016/j.csbj.2020.07.01810.1016/j.csbj.2020.07.018 ↗
17. 10.1021/acsnano.6b0539810.1021/acsnano.6b05398 ↗
18. 10.1093/bioinformatics/bty45610.1093/bioinformatics/bty456 ↗
19. 10.1021/nn502929510.1021/nn5029295 ↗
20. 10.1002/smll.20190170410.1002/smll.201901704 ↗
21. 10.1002/smll.20190537910.1002/smll.201905379 ↗
22. 10.1103/PhysRevE.71.05190310.1103/PhysRevE.71.051903 ↗
23. 10.1038/s41596-019-0255-210.1038/s41596-019-0255-2 ↗
24. 10.1016/j.bpj.2011.05.03410.1016/j.bpj.2011.05.034 ↗
25. 10.1021/nl504375c10.1021/nl504375c ↗
26. 10.1038/s41567-021-01268-210.1038/s41567-021-01268-2 ↗
27. 10.1088/1361-648X/aac79610.1088/1361-648X/aac796 ↗
28. 10.1088/1361-6528/aaabce10.1088/1361-6528/aaabce ↗
29. 10.1371/journal.pone.022671910.1371/journal.pone.0226719 ↗
30. 10.1021/acs.nanolett.6b0464210.1021/acs.nanolett.6b04642 ↗
31. 10.1021/acs.nanolett.7b0319610.1021/acs.nanolett.7b03196 ↗
32. 10.1021/acs.nanolett.8b0086010.1021/acs.nanolett.8b00860 ↗
33. 10.1002/smll.20180189010.1002/smll.201801890 ↗
34. 10.1021/acsnano.0c0794710.1021/acsnano.0c07947 ↗
35. 10.1039/D1RA00349F10.1039/D1RA00349F ↗
36. 10.1039/C9LC01028A10.1039/C9LC01028A ↗
37. 10.1126/science.271.5250.79510.1126/science.271.5250.795 ↗
38. 10.1016/0022-2836(81)90087-510.1016/0022-2836(81)90087-5 ↗
39. 10.1093/bioinformatics/bty45610.1093/bioinformatics/bty456 ↗
40. 10.1093/nar/27.2.57310.1093/nar/27.2.573 ↗
41. 10.1093/nar/gkr99010.1093/nar/gkr990 ↗
42. 10.1038/s41598-021-89017-610.1038/s41598-021-89017-6 ↗
43. 10.4161/nucl.2216810.4161/nucl.22168 ↗
44. 10.1073/pnas.141530111110.1073/pnas.1415301111 ↗
45. 10.1186/s13059-019-1718-z10.1186/s13059-019-1718-z ↗
46. 10.1021/ja044996f10.1021/ja044996f ↗
47. 10.1038/s41592-019-0686-210.1038/s41592-019-0686-2 ↗
48. Durbin R. · 199810.1017/CBO9780511790492 ↗
49. 10.48550/arXiv:2201.0880910.48550/arXiv:2201.08809 ↗