Advances in determination of polymer structure and in preservation of structure for electron microscopy provide the best view to date of how polysaccharides and structural proteins are organized into plant cell walls. The walls that form and partition dividing cells are modified chemically and structurally from the walls expanding to provide a cell with its functional form. In grasses, the chemical structure of the wall differs from that of all other flowering plant species that have been examined. Nevertheless, both types of wall must conform to the same physical laws. Cell expansion occurs via strictly regulated reorientation of each of the wall's components that first permits the wall to stretch in specific directions and then lock into final shape. This review integrates information on the chemical structure of individual polymers with data obtained from new techniques used to probe the arrangement of the polymers within the walls of individual cells. We provide structural models of two distinct types of walls in flowering plants consistent with the physical properties of the wall and its components.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-313X.1993.tb00007.x

Structural models of primary cell walls in flowering plants: consistency of molecular structure with the physical properties of the walls during growth

Plant cells encase themselves within a complex polysaccharide wall, which constitutes the raw material that is used to manufacture textiles, paper, lumber, films, thickeners and other products. The plant cell wall is also the primary source of cellulose, the most abundant and useful biopolymer on the Earth. The cell wall not only strengthens the plant body, but also has key roles in plant growth, cell differentiation, intercellular communication, water movement and defence. Recent discoveries have uncovered how plant cells synthesize wall polysaccharides, assemble them into a strong fibrous network and regulate wall expansion during cell growth.

/pdf/growth-of-the-plant-cell-wall-4k81okl2ih.pdf

Growth of the plant cell wall

Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability. Instead of storing a distance matrix, FastTree stores sequence profiles of internal nodes in the tree. FastTree uses these profiles to implement neighbor-joining and uses heuristics to quickly identify candidate joins. FastTree then uses nearest-neighbor interchanges to reduce the length of the tree. For an alignment with N sequences, L sites, and a different characters, a distance matrix requires O(N^2) space and O(N^2 L) time, but FastTree requires just O( NLa + N sqrt(N) ) memory and O( N sqrt(N) log(N) L a ) time. To estimate the tree's reliability, FastTree uses local bootstrapping, which gives another 100-fold speedup over a distance matrix. For example, FastTree computed a tree and support values for 158,022 distinct 16S ribosomal RNAs in 17 hours and 2.4 gigabytes of memory. Just computing pairwise Jukes-Cantor distances and storing them, without inferring a tree or bootstrapping, would require 17 hours and 50 gigabytes of memory. In simulations, FastTree was slightly more accurate than neighbor joining, BIONJ, or FastME; on genuine alignments, FastTree's topologies had higher likelihoods. FastTree is available at http://microbesonline.org/fasttree.

/pdf/fast-tree-computing-large-minimum-evolution-trees-with-4grq0gwfpy.pdf

Fast Tree: Computing Large Minimum-Evolution Trees with Profiles instead of a Distance Matrix

Pectin structure and biosynthesis

Pectins: structure, biosynthesis, and oligogalacturonide-related signaling.

Provided herein are transgenic plants that include increased expression of a coding region encoding a PAE poly-peptide compared to a control plant. In one embodiment, a transgenic plant includes a phenotype of decreased recalcitrance, increased growth, or the combination thereof. Also provided herein are methods for generating transgenic plants, and methods for using transgenic plants. Examples of methods for using transgenic plants include, for instance, processing a transgenic plant described herein to result in a processed pulp, and exposing a plant material obtained from a plant described herein to conditions suitable for the production of a metabolic product.

Transgenic plants having altered expression of pectin acetylesterase and methods of using same

Provided herein are plants having altered expression of a coding region encoding a hydroxyproline-rich glycoprotein. In some embodiments the expression is decreased, and the resulting plant has decreased recalcitrance, increased growth, or a combination thereof. In some embodiments the expression is increased, and the resulting plant has decreased growth, biomass that is more cross-linked, biomass that is more dense, or a combination thereof. Also provided are methods for making and using such plants.

Debra Mohnen

Papers

Transgenic plants having altered expression of pectin acetylesterase and methods of using same

Transgenic plants and methods of using same