bioRxiv ScienceSearch

Biology subjects

Wang, Z.-X.

Publications and source records attributed to Wang, Z.-X..

3 recordsLinked to original sources

Molecular basis of ubiquitination catalyzed by the bacterial transglutaminase MavC

The Legionella pneumophila effector MavC is a transglutaminase that carries out atypical ubiquitination of the ubiquitin (Ub) E2 conjugation enzyme UBE2N by catalyzing the formation of an isopeptide bond between Gln40 of Ub and Lys92 (or to a less extent, Lys94) of UBE2N, which results in inhibition of UBE2N signaling in the NF-{kappa}B pathway. In the absence of UBE2N, MavC deamidates Ub at Gln40 or catalyzes self-ubiquitination. However, the mechanisms underlying these enzymatic activities of MavC are not fully understood at molecular level. In this study, we obtained the structure of the MavC-UBE2N-Ub ternary complex that represents a snapshot of covalent cross-linking of UBE2N and Ub catalyzed by MavC. The structure reveals the unique way by which the cross-linked catalytic product UBE2N-Ub binds mainly to the Insertion and the Tail domains of MavC prior to its release. Based on our structural, biochemical and mutational analyses, we proposed the catalytic mechanism for both the deamidase and the transglutaminase activities of MavC. Finally, by comparing the structures of MavC and MvcA, the homologous protein that reverses MavC-induced UBE2N ubiquitination, we identified several key regions of the two proteins responsible for their opposite enzymatic activity. Our results provide insights into the mechanisms for substrate recognition and ubiquitination mediated by MavC as well as explanations for the opposite activity of MavC and MvcA.

microbiology

Extravagant leaf display in Actinidia kolomikta attracting pollinators and maintaining photosynthetic capacity

Pollinators usually are attracted by flower displays, but whether non-green leaves display can function as a flower guide is less well studied. Furthermore, it is still largely unknown whether photosynthetic cost is paid-off by benefits afforded by attraction pollinators and how non-green leaves maintain photosynthetic capacity. Thus, white leaf and inflorescence/flower traits, pollinator visitation, fruit set and seed production, spectral properties, leaf structure, net photosynthetic rate and chlorophyll fluorescence of adaxial and abaxial surface were studied in Actinidia kolomikta (Rupr. & Maxim.) Maxim. The reproductive branches of A. kolomikta have a large number of white leaves at the exterior canopy, but white inflorescences grow at the canopys interior, and we found that showy display of white leaves attracted pollinators reach the flowers. Although incident light was reflected largely, we found that photosynthetic rate of white leaves was maintained at relatively high levels. Furtherly, spongy tissue play the vital role in maintenance photosynthetic capacity of white leaves, which effectively supports inflorescence development during flowering. Thus, white leaves of A. kolomikta enhanced reproductive fitness through attracting pollinators and decreasing reproductive cost: (1) spatially via white leaves locating at reproductive branches and temporally via synchronism between white leaves and flowers; (2) increasing white leaves display and decreasing investment in reproduction; (3) compensatory mechanisms via maintaining photosynthetic capacity of white leaves. Therefore, we propose that these dual functions of white leaves during blossom lower the plants cost of reproduction, and that this is an adaptation to the climatic challenges of the high altitudes and latitudes at which it grows.

plant biology

TEsorter: lineage-level classification of transposable elements using conserved protein domains

SummaryTransposable elements (TEs) constitute an import part in eukaryotic genomes, but their classification, especially in the lineage or clade level, is still challenging. For this purpose, we propose TEsorter, which is based on conserved protein domains of TEs. It is easy-to-use, fast with multiprocessing, sensitive and precise to classify TEs especially LTR retrotransposons (LTR-RTs). Its results can also directly reflect phylogenetic relationships and diversities of the classified LTR-RTs.\n\nAvailabilityThe code in Python is freely available at https://github.com/zhangrengang/TEsorter.

bioinformatics