Permafrost meta-omics and climate change

Permanently frozen soil, or permafrost, covers a large portion of the Earth's terrestrial surface and represents a unique environment for cold-adapted microorganisms. As permafrost thaws, previously protected organic matter becomes available for microbial degradation. Microbes that decompose soil carbon produce carbon dioxide and other greenhouse gases, contributing substantially to climate change. Next-generation sequencing and other -omics technologies offer opportunities to discover the mechanisms by which microbial communities regulate the loss of carbon and the emission of greenhouse gases from thawing permafrost regions. Analysis of nucleic acids and proteins taken directly from permafrost-associated soils has provided new insights into microbial communities and their functions in Arctic environments that are increasingly impacted by climate change. In this article we review current information from various molecular -omics studies on permafrost microbial ecology and explore the relevance of these insights to our current understanding of the dynamics of permafrost loss due to climate change

FOAM (functional ontology assignments for metagenomes):a hidden markov model (HMM) database with environmental focus

A new functional gene database, FOAM (Functional Ontology Assignments for Metagenomes), was developed to screen environmental metagenomic sequence datasets. FOAM provides a new functional ontology dedicated to classify gene functions relevant to environmental microorganisms based on Hidden Markov Models (HMMs). Sets of aligned protein sequences (i.e. ‘profiles’) were tailored to a large group of target KEGG Orthologs (KOs) from which HMMs were trained. The alignments were checked and curated to make them specific to the targeted KO. Within this process, sequence profiles were enriched with the most abundant sequences available to maximize the yield of accurate classifier models. An associated functional ontology was built to describe the functional groups and hierarchy. FOAM allows the user to select the target search space before HMM-based comparison steps and to easily organize the results into different functional categories and subcategories. FOAM is publicly available at http://portal.nersc.gov/project/m1317/FOAM/

Characterization of the trunk neural crest in the bamboo shark, Chiloscyllium punctatum

The neural crest is a population of mesenchymal cells that after migrating from the neural tube gives rise to structure and cell types: the jaw, part of the peripheral ganglia, and melanocytes. Although much is known about neural crest development in jawed vertebrates, a clear picture of trunk neural crest development for elasmobranchs is yet to be developed. Here we present a detailed study of trunk neural crest development in the bamboo shark, Chiloscyllium punctatum. Vital labeling with dioctadecyl tetramethylindocarbocyanine perchlorate (DiI) and in situ hybridization using cloned Sox8 and Sox9 probes demonstrated that trunk neural crest cells follow a pattern similar to the migratory paths already described in zebrafish and amphibians. We found shark trunk neural crest along the rostral side of the somites, the ventromedial pathway, the branchial arches, the gut, the sensory ganglia, and the nerves. Interestingly, C. punctatum Sox8 and Sox9 sequences aligned with vertebrate SoxE genes, but appeared to be more ancient than the corresponding vertebrate paralogs. The expression of these two SoxE genes in trunk neural crest cells, especially Sox9, matched the Sox10 migratory patterns observed in teleosts. Also of interest, we observed DiI cells and Sox9 labeling along the lateral line, suggesting that in C. punctatum, glial cells in the lateral line are likely of neural crest origin. Although this has been observed in other vertebrates, we are the first to show that the pattern is present in cartilaginous fishes. These findings demonstrate that trunk neural crest cell development in C. punctatum follows the same highly conserved migratory pattern observed in jawed vertebrates

Preference of Arabidopsis thaliana GH3.5 acyl amido synthetase for growth versus defense hormone acyl substrates is dictated by concentration of amino acid substrate aspartate.

The GH3 family of adenylating enzymes conjugate acyl substrates such as the growth hormone indole-3-acetic acid (IAA) to amino acids via a two-step reaction of acyl substrate adenylation followed by amino acid conjugation. Arabidopsis thaliana GH3.5 was previously shown to be unusual in that it could adenylate both IAA and the defense hormone salicylic acid (SA, 2-hydroxybenzoate). Our detailed studies of the kinetics of GH3.5 on a variety of auxin and benzoate substrates provides insight into the acyl preference and reaction mechanism of GH3.5. For example, we found GH3.5 activity on substituted benzoates is not defined by the substitution position as it is for GH3.12/PBS3. Most importantly, we show that GH3.5 strongly prefers Asp as the amino acid conjugate and that the concentration of Asp dictates the functional activity of GH3.5 on IAA vs. SA. Not only is Asp used in amino acid biosynthesis, but it also plays an important role in nitrogen mobilization and in the production of downstream metabolites, including pipecolic acid which propagates defense systemically. During active growth, [IAA] and [Asp] are high and the catalytic efficiency (kcat/Km) of GH3.5 for IAA is 360-fold higher than with SA. GH3.5 is expressed under these conditions and conversion of IAA to inactive IAA-Asp would provide fine spatial and temporal control over local auxin developmental responses. By contrast, [SA] is dramatically elevated in response to (hemi)-biotrophic pathogens which also induce GH3.5 expression. Under these conditions, [Asp] is low and GH3.5 has equal affinity (Km) for SA and IAA with similar catalytic efficiencies. However, the concentration of IAA tends to be very low, well below the Km for IAA. Therefore, GH3.5 catalyzed formation of SA-Asp would occur, fine-tuning localized defensive responses through conversion of active free SA to SA-Asp. Taken together, we show how GH3.5, with dual activity on IAA and SA, can integrate cellular metabolic status via Asp to provide fine control of growth vs. defense outcomes and hormone homeostasis