The helix angle, chirality, and radius of helical ribbons are predicted with a comprehensive, three-dimensional analysis that incorporates elasticity, differential geometry, and variational principles. In many biological and engineered systems, ribbon helicity is commonplace and may be driven by surface stress, residual strain, and geometric or elastic mismatch between layers of a laminated composite. Unless coincident with the principle geometric axes of the ribbon, these anisotropies will lead to spontaneous, three-dimensional helical deformations. Analytical, closed-form ribbon shape predictions are validated with table-top experiments. More generally, our approach can be applied to develop materials and systems with tunable helical geometries.

In the developing embryo, tissues differentiate, deform, and move in an orchestrated manner to generate various biological shapes driven by the complex interplay between genetic, epigenetic, and environmental factors. Mechanics plays a key role in regulating and controlling morphogenesis, and quantitative models help us understand how various mechanical forces combine to shape the embryo. Models allow for the quantitative, unbiased testing of physical mechanisms, and when used appropriately, can motivate new experimental directions. This knowledge benefits biomedical researchers who aim to prevent and treat congenital malformations, as well as engineers working to create replacement tissues in the laboratory. In this review, we first give an overview of fundamental mechanical theories for morphogenesis, and then focus on models for specific processes, including pattern formation, gastrulation, neurulation, organogenesis, and wound healing. The role of mechanical feedback in development is also discussed. Finally, some perspectives are given on the emerging challenges in morphomechanics and mechanobiology.

Glycinin is the predominant seed storage protein in most soybean varieties. Previously, five major genes (designated Gy1 to Gy5) encoding glycinin subunits have been described. In this report two new genes are identified and mapped: a glycinin pseudogene, gy6, and a functional gene, Gy7. Messenger RNA for the gy6 pseudogene is not detected in developing seeds. While Gy7 mRNA was present at the midmaturation stage of seed development in the soybean variety Resnik, the steady state amount of this message was at least an order of magnitude less-prevalent than the mRNA encoding each of the other five glycinin subunits. Even though the amino-acid sequence of the glycinin subunit G7 is related to the other five soybean 11S subunits, it does not fit into either the Group-1 (G1, G2, G3) or the Group-2 (G4, G5) glycinin subunit families. The Gy7 gene is tandemly linked 3' to Gy3 on Linkage Group L (chromosome 19) of the public molecular linkage map. By contrast, the gy6 gene occupies a locus downstream from Gy2 on Linkage Group N (chromosome 3) in a region that is related to the position where Gy7 is located on chromosome 19.

SummaryThe Chinese indigenous pig breeds in the Taihu Lake region are the most prolific pig breeds in the world. In this study, we investigated the genetic diversity and population structure of six breeds, including Meishan, Erhualian, Mi, Fengjing, Shawutou and Jiaxing Black, in this region using whole‐genome SNP data. A high SNP with proportions of polymorphic markers ranging from 0.925 to 0.995 was exhibited by the Chinese indigenous pigs in the Taihu Lake region. The allelic richness and expected heterozygosity also were calculated and indicated that the genetic diversity of the Meishan breed was the greatest, whereas that of the Fengjing breed was the lowest. The genetic differentiation, as indicated by the fixation index, exhibited an overall mean of 0.149. Both neighbor‐joining tree and principal components analysis were able to distinguish the breeds from each other, but structure analysis indicated that the Mi and Erhualian breeds exhibited similar major signals of admixture. With this genome‐wide comprehensive survey of the genetic diversity and population structure of the indigenous Chinese pigs in the Taihu Lake region, we confirmed the rationality of the current breed classification of the pigs in this region.