A stream by any other name: does β-diversity differ between Nearctic and Neotropical streams?

Hydrobiologia - Beta diversity typically increases with decreasing latitude, with explanations of this pattern often based on tropical origins of most clades. Black flies (Diptera: Simuliidae) are...     

Pantothenate Kinase from the Thermoacidophilic Archaeon Picrophilus torridus

Pantothenate kinase (CoaA) catalyzes the first step of the coenzyme A (CoA) biosynthetic pathway and controls the intracellular concentrations of CoA through feedback inhibition in bacteria. An alternative enzyme found in archaea, pantoate kinase, is missing in the order Thermoplasmatales. The PTO0232 gene from Picrophilus torridus, a thermoacidophilic euryarchaeon, is shown to be a distant homologue of the prokaryotic type I CoaA. The cloned gene clearly complements the poor growth of the temperature-sensitive Escherichia coli CoaA mutant strain ts9, and the recombinant protein expressed in E. coli cells transfers phosphate to pantothenate at pH 5 and 55°C. In contrast to E. coli CoaA, the P. torridus enzyme is refractory to feedback regulation by CoA, indicating that in P. torridus cells the CoA levels are not regulated by the CoaA step. These data suggest the existence of two subtypes within the class of prokaryotic type I CoaAs.Coenzyme A (CoA) is an essential cofactor synthesized from pantothenate (vitamin B₅), cysteine, and ATP (1, 20, 30). The thiol group derived from the cysteine moiety in a CoA molecule forms a thioester bond, which is a high-energy bond, with carboxylates including fatty acids. The resulting compounds are called acyl-CoAs (CoA thioesters) and function as the major acyl group carriers in numerous metabolic and energy-yielding pathways. Since it is thought that the pantetheine moiety in CoA existed when life first came about on Earth (25) and at present, a CoA, acyl-CoA, or 4′-phosphopantethein moiety that is common to CoA and acyl carrier proteins is utilized by about 4% of all enzymes as a substrate (6), these compounds are thought to play a crucial role in the earliest metabolic system.Bacteria, fungi, and plants can produce pantothenate, which is the starting material of CoA biosynthesis, although animals must take it from their diet (41). The canonical CoA biosynthetic pathway consists of five enzymatic steps: i.e., pantothenate kinase (CoaA in prokaryotes and PanK in eukaryotes; EC 2.7.1.33), phosphopantothenoylcysteine synthetase (CoaB; EC 6.3.2.5), phosphopantothenoylcysteine decarboxylase (CoaC: EC 4.1.1.36), phosphopantetheine adenylyltransferase (CoaD; EC 2.7.7.3), and dephospho-CoA kinase (CoaE; EC 2.7.1.24). The organisms belonging to the domains Bacteria and Eukarya have this pathway (20, 30). CoaB, CoaC, CoaD, and CoaE are detectable in the complete genome sequences as orthologs of the counterparts from E. coli and humans (15, 16, 32). However, there is diversity among the CoaAs and PanKs, depending on their primary structures, and to date, three types of CoaA in bacteria and one type of PanK in eukaryotes have been identified. CoaAs and PanK catalyze the phosphorylation of pantothenate to produce 4′-phosphopantothenate at the first step of the pathway. First, the Escherichia coli CoaA (CoaA_Ec) was cloned as a prokaryotic type I CoaA after characterization of the properties enzymatically (42-44, 48). Thereafter, the eukaryotic PanK isoforms were isolated from Aspergillus nidulans (AnPanK), mice (mPanK), and humans (hPanK) (10, 17, 28, 29, 33, 34, 54-56). These enzyme activities were clearly regulated by end products of the biosynthetic pathway such as CoA, acetyl-CoA, and malonyl-CoA, and the pantothenate kinases governed the intracellular concentrations of CoA and acyl-CoAs (10, 17, 28, 29, 33, 34, 43, 44, 48, 54, 55). However, CoaAs insensitive to CoA and acyl-CoAs were recently identified from Staphylococcus aureus (CoaA_Sa), Pseudomonas aeruginosa (CoaA_Pa), and Helicobacter pylori (CoaA_Hp) as prokaryotic type II and III CoaAs (9, 11, 18, 27). The structural and functional diversity among pantothenate kinases suggests that they are key indicators of the regulation of the CoA biosynthesis. In archaea neither CoaA nor pantothenate synthetase (PanC; EC 6.3.2.1), which catalyzes the condensation of pantoate and β-alanine to produce pantothenate, had been identified biochemically until very recently. COG1829 and COG1701 were assigned as the respective candidates based on comparative genomic analysis (15). COG1701 was reported to be PanC (36), and later the enzyme was revised to phosphopantothenate synthetase, which catalyzed the condensation of phosphopantoate and β-alanine (52). Together with the identification of COG1701, COG1829 was found to be pantoate kinase, responsible for the phosphorylation of pantoate (52). Homologues of pantoate kinase and phosphopantothenate synthetase are found in most archaeal genomes, thus establishing a noncanonical CoA biosynthetic pathway involving the two novel enzymes. However, homologues of the two novel enzymes are missing in the order Thermoplasmatales.Hence, we proceeded with a search for the kinase genes of the remaining archaea to elucidate the regulatory mechanism(s) underlying archaeal CoA biosynthesis. The PTO0232 gene in the complete genome sequence of Picrophilus torridus was identified as encoding a distant homologue of CoaA_Ec by a BLAST search. The recombinant protein phosphorylated pantothenate, but the activity was not inhibited at all by CoA or CoA thioesters despite its classification as prokaryotic type I CoaA. This functional difference between P. torridus CoaA (CoaA_Pt) and CoaA_Ec can be accounted for by an amino acid substitution at position 247 which possibly interacts with CoA. Here we describe the existence of a second subtype in the class of prokaryotic type I CoaAs.     

The budget of dissolved trace metals in Lake Biwa,Japan

A comprehensive study on the dynamics of dissolved elements (Mg, Al, Si, P, Ca, V, Cr, Mn, Fe, Ni, Zn, As, Sr, Y, W, and U) in Lake Biwa was carried out using a clean technique. Lake water samples (n = 523) were collected from six stations in the North Basin and three stations in the South Basin. River water samples (n = 178) were collected from 14 major rivers flowing into the North Basin. Rainwater samples (n = 89) were collected at Otsu. The river water was enriched with Mn, Al, Fe, P, and Zn and the rainwater was enriched with Zn, Al, Fe, and Mn compared to North Basin water during winter mixing. The residence times of dissolved species were estimated on the basis of input through the rivers and rain. The residence times for Ca, Mg, and Sr were about 8 years, the same as that for water. Mn, Al, Fe, and Zn showed the shortest residence times (0.05–0.19 year). A budget calculation suggested that more than 60% of the input of dissolved Si, P, V, Cr, Mn, Fe, Ni, and Zn was scavenged and retained in the lake sediments and/or discharged as suspended particles.     

Probabilistic alignments with quality scores: an application to short-read mapping toward accurate SNP/indel detection

MOTIVATION: Recent studies have revealed the importance of considering quality scores of reads generated by next-generation sequence (NGS) platforms in various downstream analyses. It is also known that probabilistic alignments based on marginal probabilities (e.g. aligned-column and/or gap probabilities) provide more accurate alignment than conventional maximum score-based alignment. There exists, however, no study about probabilistic alignment that considers quality scores explicitly, although the method is expected to be useful in SNP/indel callers and bisulfite mapping, because accurate estimation of aligned columns or gaps is important in those analyses. RESULTS: In this study, we propose methods of probabilistic alignment that consider quality scores of (one of) the sequences as well as a usual score matrix. The method is based on posterior decoding techniques in which various marginal probabilities are computed from a probabilistic model of alignments with quality scores, and can arbitrarily trade-off sensitivity and positive predictive value (PPV) of prediction (aligned columns and gaps). The method is directly applicable to read mapping (alignment) toward accurate detection of SNPs and indels. Several computational experiments indicated that probabilistic alignments can estimate aligned columns and gaps accurately, compared with other mapping algorithms e.g. SHRiMP2, Stampy, BWA and Novoalign. The study also suggested that our approach yields favorable precision for SNP/indel calling.     

Trichomycetes (Zygomycota) in the digestive tract of arthropods in Amazonas, Brazil

Eight species of Harpellales and three species of Eccrinales (Zygomycota: Trichomycetes) were found associated with the digestive tract of arthropods from terrestrial and aquatic environments in the central Amazon region of Brazil. New species of Harpellales include: Harpella amazonica, Smittium brasiliense, Genistellospora tropicalis in Simuliidae larvae and Stachylina paucispora in Chironomidae larvae. Axenic cultures of S. brasiliense were obtained. Probable new species of Enterobryus (Eccrinales), Harpella, and Stachylina (Harpellales) are described but not named. Also reported are the previously known species of Eccrinales, Passalomyces compressus and Leidyomyces attenuatus in adult Coleoptera (Passalidae), and Smittium culisetae and Smittium aciculare (Harpellales) in Culicidae and Simuliidae larvae, respectively. Comments on the distribution of some of these fungi and their hosts in the Neotropics are provided.