posted on 2016-09-19, 00:00authored byJonathan Jeffet, Asaf Kobo, Tianxiang Su, Assaf Grunwald, Ori Green, Adam N. Nilsson, Eli Eisenberg, Tobias Ambjörnsson, Fredrik Westerlund, Elmar Weinhold, Doron Shabat, Prashant K. Purohit, Yuval Ebenstein
Optical
genome mapping in nanochannels is a powerful genetic analysis
method, complementary to deoxyribonucleic acid (DNA) sequencing. The
method is based on detecting a pattern of fluorescent labels attached
along individual DNA molecules. When such molecules are extended in
nanochannels, the labels create a fluorescent genetic barcode that
is used for mapping the DNA molecule to its genomic locus and identifying
large-scale variation from the genome reference. Mapping resolution
is currently limited by two main factors: the optical diffraction
limit and the thermal fluctuations of DNA molecules suspended in the
nanochannels. Here, we utilize single-molecule tracking and super-resolution
localization in order to improve the mapping accuracy and resolving
power of this genome mapping technique and achieve a 15-fold increase
in resolving power compared to currently practiced methods. We took
advantage of a naturally occurring genetic repeat array and labeled
each repeat with custom-designed Trolox conjugated fluorophores for
enhanced photostability. This model system allowed us to acquire extremely
long image sequences of the equally spaced fluorescent markers along
DNA molecules, enabling detailed characterization of nanoconfined
DNA dynamics and quantitative comparison to the Odijk theory for confined
polymer chains. We present a simple method to overcome the thermal
fluctuations in the nanochannels and exploit single-step photobleaching
to resolve subdiffraction spaced fluorescent markers along fluctuating
DNA molecules with ∼100 bp resolution. In addition, we show
how time-averaging over just ∼50 frames of 40 ms enhances mapping
accuracy, improves mapping P-value scores by 3 orders
of magnitude compared to nonaveraged alignment, and provides a significant
advantage for analyzing structural variations between DNA molecules
with similar sequence composition.