a, In the absence of cell divisions, in-plane
tissue-scale convergent extension occurs due to the changing shape of cells
as well as the occurrence of oriented cell intercalations (‘T1
events’). b, During constrictions in the fly midgut, no
cell divisions take place, but cells change shape and also intercalate in
the endodermal layer. Scale bars are 10 μm.
c, We can then compare the cumulative effect of each
contribution (blue and yellow) to the total tissue-scale convergent
extension (orange, constricting along and extending along
). In the midgut endoderm, we directly
measure tissue shear from the deviatoric component of the integrated strain
computed from Lagrangian pathlines in 3D. This shear strain is almost
entirely oriented along the longitudinal axis . In order to compare directly this quantity
to the cell shape change, we imprint the segmentation of 1260 cells at
on the tissue surface, follow the outlines
of these cells along 3D tissue pathlines obtained from full stabilization
with small Gaussian smoothing applied to
the optical flow stabilization to avoid self-intersections in pathlines,
and compute the cell shape anisotropy in the tangent plane of the tissue for each
cell. Here, and are the semimajor and semiminor axes of the
ellipse capturing each cell’s moment of inertia tensor, and
is the cell’s angle with respect to
the material frame’s longitudinal axis. We excluded advected polygons
that acquire partial self-intersections from advection, so that we excluded
3, 5, and 8 out of a total 1260 advected cell shapes at the latest
timepoints 63, 73, and 83 minutes after constriction onset, respectively. We
compared these advected segmentation shapes with the true segmentation.
After passing pullback images through a skeletonization procedure detailed
in ref. [4], we manually selected
, and 964 cells for accuracy with broad
organ coverage at each timepoint. Blue and yellow curves represent the net
contribution of cell shape change and the net contribution of intercalations
averaged across the organ, and the red curve represents the mean tissue
shape change. Error bars denote standard error on the mean. Further
technical details are found in TubULAR’s
generateCellSegmentationPathlines3D method.