Escherichia coli dimethylallyl diphosphate:tRNA dimethylallyltransferase: site-directed mutagenesis of highly conserved residues

Dimethylallyl diphosphate:tRNA dimethylallyltransferase (DMAPP-tRNA transferase) catalyzes alkylation of the exocyclic amine of adenosine at position 37 in some tRNAs by the hydrocarbon moiety of dimethylallyl diphosphate (DMAPP). A multiple-sequence alignment of 28 gene sequences encoding DMAPP-tRNA transferases from various organisms revealed considerable homology, including 11 charged, 12 polar, and four aromatic amino acids that are highly conserved or conservatively substituted. Site-directed mutants were constructed for all of these amino acids, and a tripeptide Glu-Glu-Phe alpha-tubulin epitope was appended to the C-terminus of the protein to facilitate separation by immunoaffinity chromatography of overproduced mutant enzymes from coexpressed chromosomally encoded wild-type DMAPP-tRNA transferase. Steady-state kinetic constants were measured for wild-type DMAPP-tRNA transferase and the site-directed mutants using DMAPP and a 17-base RNA oligoribonucleotide corresponding to the stem-loop region of tRNA(Phe) as substrates. Substantial changes in k(cat), K(m)(DMAPP), and/or K(m)(RNA) were seen for several of the mutants, suggesting possible roles for these residues in substrate binding and catalysis.     

The influence of local spring temperature variance on temperature sensitivity of spring phenology

The impact of climate warming on the advancement of plant spring phenology has been heavily investigated over the last decade and there exists great variability among plants in their phenological sensitivity to temperature. However, few studies have explicitly linked phenological sensitivity to local climate variance. Here, we set out to test the hypothesis that the strength of phenological sensitivity declines with increased local spring temperature variance, by synthesizing results across ground observations. We assemble ground‐based long‐term (20–50 years) spring phenology database (PEP725 database) and the corresponding climate dataset. We find a prevalent decline in the strength of phenological sensitivity with increasing local spring temperature variance at the species level from ground observations. It suggests that plants might be less likely to track climatic warming at locations with larger local spring temperature variance. This might be related to the possibility that the frost risk could be higher in a larger local spring temperature variance and plants adapt to avoid this risk by relying more on other cues (e.g., high chill requirements, photoperiod) for spring phenology, thus suppressing phenological responses to spring warming. This study illuminates that local spring temperature variance is an understudied source in the study of phenological sensitivity and highlight the necessity of incorporating this factor to improve the predictability of plant responses to anthropogenic climate change in future studies.     

Isolation and identification of vasopressin- and oxytocin-immunoreactive substances from bovine pineal gland. Presence of N alpha-acetyloxytocin

Peptides with vasopressin- and oxytocin-immunoreactivity were purified from bovine pineal glands. Three immunoreactive peptides were purified by successive high performance liquid chromatography steps in sufficient quantities for identification by fast atom bombardment-mass spectrometry. Two peptides were characterized as authentic vasopressin and oxytocin. Their identities were in agreement with the observed immunoreactivities, high performance liquid chromatography behavior, and biological activity. The third peptide was identified as N alpha-acetyloxytocin. The presence of the acetyl group was demonstrated by the molecular mass of the peptide, and the N alpha position was shown to be the modified site by the presence of a blocked NH2 terminus. N alpha-Acetylation of oxytocin may be involved in altering the biological properties of the peptide.     

Sequence requirements for splicing by the Cne PRP8 intein

The dependence of protein splicing on conserved residues of the Cne PRP8 intein was assessed by alanine scanning mutagenesis in a foreign protein context. Corroboration was obtained for the involvement of residues at the splice junctions and of the conserved threonine and histidine of motif B. Five additional residues were identified as absolutely required for splicing. Variant W151A displayed premature C-terminal cleavage, not seen with other Cne PRP8 mutants. We propose a model whereby W151 acts to prevent premature C-terminal cleavage, favoring complete splicing as opposed to two disjointed cleavage events.     

Sexual mating of Botrytis cinerea illustrates PRP8 intein HEG activity

Strains of Botrytis cinerea are polymorphic for the presence of an intein in the Prp8 gene (intein +/?). The intein encodes a homing endonuclease (HEG). During meiosis in an intein +/? heterozygote, the homing endonuclease initiates intein ‘homing’ by inducing gene conversion. In such meioses, the homing endonuclease triggers gene conversion of the intein together with its flanking sequences into the empty allele. The efficiency of gene conversion of the intein was found to be 100%. The extent of flanking sequence affected by the gene conversion varied in different meioses. A survey of the inteins and flanking sequences of a group B. cinerea isolates indicates that there are two distinct variants of the intein both of which have active HEGs. The survey also suggests that the intein has been actively homing during the evolution of the species and that the PRP8 intein may have entered the species by horizontal transfer.     

Critical land change information enhances the understanding of carbon balance in the United States

Large‐scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine‐scale processes including land use and land cover change into a large‐scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United States from 1971 to 2015 at 1‐km resolution using an enhanced dynamic global vegetation model and comprehensive land cover change data. Effects of atmospheric CO₂ fertilization, nitrogen deposition, climate, wildland fire, harvest, and land use/land cover change (LUCC) were considered. We estimate annual C losses from cropland harvest, forest clearcut and thinning, fire, and LUCC were 436.8, 117.9, 10.5, and 10.4 TgC/year, respectively. C stored in ecosystems increased from 119,494 to 127,157 TgC between 1971 and 2015, indicating a mean annual net C sink of 170.3 TgC/year. Although ecosystem net primary production increased by approximately 12.3 TgC/year, most of it was offset by increased C loss from harvest and natural disturbance and increased ecosystem respiration related to forest aging. As a result, the strength of the overall ecosystem C sink did not increase over time. Our modeled results indicate the conterminous US C sink was about 30% smaller than previous modeling studies, but converged more closely with inventory data.     

Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates

The recent rise in atmospheric methane (CH₄) concentrations accelerates climate change and offsets mitigation efforts. Although wetlands are the largest natural CH₄ source, estimates of global wetland CH₄ emissions vary widely among approaches taken by bottom-up (BU) process-based biogeochemical models and top-down (TD) atmospheric inversion methods. Here, we integrate in situ measurements, multi-model ensembles, and a machine learning upscaling product into the International Land Model Benchmarking system to examine the relationship between wetland CH₄ emission estimates and model performance. We find that using better-performing models identified by observational constraints reduces the spread of wetland CH₄ emission estimates by 62% and 39% for BU- and TD-based approaches, respectively. However, global BU and TD CH₄ emission estimate discrepancies increased by about 15% (from 31 to 36 TgCH₄ year⁻¹) when the top 20% models were used, although we consider this result moderately uncertain given the unevenly distributed global observations. Our analyses demonstrate that model performance ranking is subject to benchmark selection due to large inter-site variability, highlighting the importance of expanding coverage of benchmark sites to diverse environmental conditions. We encourage future development of wetland CH₄ models to move beyond static benchmarking and focus on evaluating site-specific and ecosystem-specific variabilities inferred from observations.