Histone H3-K56 acetylation is catalyzed by histone chaperone-dependent complexes

Acetylation of histone H3 on lysine 56 occurs during mitotic and meiotic S phase in fungal species. This acetylation blocks a direct electrostatic interaction between histone H3 and nucleosomal DNA, and the absence of this modification is associated with extreme sensitivity to genotoxic agents. We show here that H3-K56 acetylation is catalyzed when Rtt109, a protein that lacks significant homology to known acetyltransferases, forms an active complex with either of two histone binding proteins, Asf1 or Vps75. Rtt109 binds to both these cofactors, but not to histones alone, forming enzyme complexes with kinetic parameters similar to those of known histone acetyltransferase (HAT) enzymes. Therefore, H3-K56 acetylation is catalyzed by a previously unknown mechanism that requires a complex of two proteins: Rtt109 and a histone chaperone. Additionally, these complexes are functionally distinct, with the Rtt109/Asf1 complex, but not the Rtt109/Vps75 complex, being critical for resistance to genotoxic agents.     

Robust spatial extent inference with a semiparametric bootstrap joint inference procedure

Spatial extent inference (SEI) is widely used across neuroimaging modalities to adjust for multiple comparisons when studying brain‐phenotype associations that inform our understanding of disease. Recent studies have shown that Gaussian random field (GRF)‐based tools can have inflated family‐wise error rates (FWERs). This has led to substantial controversy as to which processing choices are necessary to control the FWER using GRF‐based SEI. The failure of GRF‐based methods is due to unrealistic assumptions about the spatial covariance function of the imaging data. A permutation procedure is the most robust SEI tool because it estimates the spatial covariance function from the imaging data. However, the permutation procedure can fail because its assumption of exchangeability is violated in many imaging modalities. Here, we propose the (semi‐) parametric bootstrap joint (PBJ; sPBJ) testing procedures that are designed for SEI of multilevel imaging data. The sPBJ procedure uses a robust estimate of the spatial covariance function, which yields consistent estimates of standard errors, even if the covariance model is misspecified. We use the methods to study the association between performance and executive functioning in a working memory functional magnetic resonance imaging study. The sPBJ has similar or greater power to the PBJ and permutation procedures while maintaining the nominal type 1 error rate in reasonable sample sizes. We provide an R package to perform inference using the PBJ and sPBJ procedures.     

Plant responses to fungal volatiles involve global posttranslational thiol redox proteome changes that affect photosynthesis

Microorganisms produce volatile compounds (VCs) that promote plant growth and photosynthesis through complex mechanisms involving cytokinin (CK) and abscisic acid (ABA). We hypothesized that plants' responses to microbial VCs involve posttranslational modifications of the thiol redox proteome through action of plastidial NADPH‐dependent thioredoxin reductase C (NTRC), which regulates chloroplast redox status via its functional relationship with 2‐Cys peroxiredoxins. To test this hypothesis, we analysed developmental, metabolic, hormonal, genetic, and redox proteomic responses of wild‐type (WT) plants and a NTRC knockout mutant (ntrc) to VCs emitted by the phytopathogen Alternaria alternata. Fungal VC‐promoted growth, changes in root architecture, shifts in expression of VC‐responsive CK‐ and ABA‐regulated genes, and increases in photosynthetic capacity were substantially weaker in ntrc plants than in WT plants. As in WT plants, fungal VCs strongly promoted growth, chlorophyll accumulation, and photosynthesis in ntrc–Δ2cp plants with reduced 2‐Cys peroxiredoxin expression. OxiTRAQ‐based quantitative and site‐specific redox proteomic analyses revealed that VCs promote global reduction of the thiol redox proteome (especially of photosynthesis‐related proteins) of WT leaves but its oxidation in ntrc leaves. Our findings show that NTRC is an important mediator of plant responses to microbial VCs through mechanisms involving global thiol redox proteome changes that affect photosynthesis.     

Di-Ras2 Protein Forms a Complex with SmgGDS Protein in Brain Cytosol in Order to Be in a Low Affinity State for Guanine Nucleotides

The Ras family of small GTPases function in a wide variety of biological processes as “molecular switches” by cycling between inactive GDP-bound and active GTP-bound forms. Di-Ras1 and Di-Ras2 were originally identified as small GTPases forming a distinct subgroup of the Ras family. Di-Ras1/Di-Ras2 mRNAs are detected predominantly in brain and heart tissues. Biochemical analysis of Di-Ras1/Di-Ras2 has revealed that they have little GTPase activity and that their intrinsic guanine-nucleotide exchange rates are much faster than that of H-Ras. Yet little is known about the biological role(s) of Di-Ras1/Di-Ras2 or of how their activities are regulated. In the present study we found that endogenous Di-Ras2 co-purifies with SmgGDS from rat brain cytosol. Size-exclusion chromatography of purified recombinant proteins showed that Di-Ras2 forms a high affinity complex with SmgGDS. SmgGDS is a guanine nucleotide exchange factor with multiple armadillo repeats and has recently been shown to specifically activate RhoA and RhoC. In contrast to the effect on RhoA, SmgGDS does not act as a guanine nucleotide exchange factor for Di-Ras2 but instead tightly associates with Di-Ras2 to reduce its binding affinity for guanine nucleotides. Finally, pulse-chase analysis revealed that Di-Ras2 binds, in a C-terminal CAAX motif-dependent manner, to SmgGDS immediately after its synthesis. This leads to increased Di-Ras2 stability. We thus propose that isoprenylated Di-Ras2 forms a tight complex with SmgGDS in cytosol immediately after its synthesis, which lowers its affinity for guanine nucleotides.     

The synaptonemal complex central region modulates crossover pathways and feedback control of meiotic double-strand break formation

The synaptonemal complex (SC) is a proteinaceous structure that mediates homolog engagement and genetic recombination during meiosis. In budding yeast, Zip-Mer-Msh (ZMM) proteins promote crossover (CO) formation and initiate SC formation. During SC elongation, the SUMOylated SC component Ecm11 and the Ecm11-interacting protein Gmc2 facilitate the polymerization of Zip1, an SC central region component. Through physical recombination, cytological, and genetic analyses, we found that ecm11 and gmc2 mutants exhibit chromosome-specific defects in meiotic recombination. CO frequencies on a short chromosome (chromosome III) were reduced, whereas CO and non-crossover frequencies on a long chromosome (chromosome VII) were elevated. Further, in ecm11 and gmc2 mutants, more double-strand breaks (DSBs) were formed on a long chromosome during late prophase I, implying that the Ecm11–Gmc2 (EG) complex is involved in the homeostatic regulation of DSB formation. The EG complex may participate in joint molecule (JM) processing and/or double-Holliday junction resolution for ZMM-dependent CO-designated recombination. Absence of the EG complex ameliorated the JM-processing defect in zmm mutants, suggesting a role for the EG complex in suppressing ZMM-independent recombination. Our results suggest that the SC central region functions as a compartment for sequestering recombination-associated proteins to regulate meiosis specificity during recombination.     

Identification of 9α-Hydroxy-17-Oxo-1,2,3,4,10,19-Hexanorandrostan-5-Oic Acid in Steroid Degradation by Comamonas testosteroni TA441 and Its Conversion to the Corresponding 6-En-5-Oyl Coenzyme A (CoA) Involving Open Reading Frame 28 (ORF28)- and ORF30-Encoded Acyl-CoA Dehydrogenases

Comamonas testosteroni TA441 degrades steroids via aromatization and meta-cleavage of the A ring, followed by hydrolysis, and produces 9,17-dioxo-1,2,3,4,10,19-hexanorandrostan-5-oic acid as an intermediate compound. Herein, we identify a new intermediate compound, 9α-hydroxy-17-oxo-1,2,3,4,10,19-hexanorandrostan-5-oic acid. Open reading frame 28 (ORF28)- and ORF30-encoded acyl coenzyme A (acyl-CoA) dehydrogenase was shown to convert the CoA ester of 9α-hydroxy-17-oxo-1,2,3,4,10,19-hexanorandrostan-5-oic acid to the CoA ester of 9α-hydroxy-17-oxo-1,2,3,4,10,19-hexanorandrost-6-en-5-oic acid. A homology search of the deduced amino acid sequences suggested that the ORF30-encoded protein is a member of the acyl-CoA dehydrogenase_fadE6_17_26 family, whereas the deduced amino acid sequence of ORF28 showed no significant similarity to specific acyl-CoA dehydrogenase family proteins. Possible steroid degradation gene clusters similar to the cluster of TA441 appear in bacterial genome analysis data. In these clusters, ORFs similar to ORFs 28 and 30 are often found side by side and ordered in the same manner as ORFs 28 and 30.     

Biosynthesis of polyhydroxyalkanoate copolymers from methanol by Methylobacterium extorquens AM1 and the engineered strains under cobalt-deficient conditions

Methylobacterium extorquens AM1 has been shown to accumulate polyhydroxyalkanoate (PHA) composed solely of (R)-3-hydroxybutyrate (3HB) during methylotrophic growth. The present study demonstrated that the wild-type strain AM1 grown under Co²⁺-deficient conditions accumulated copolyesters of 3HB and a C₅-monomer, (R)-3-hydroxyvalerate (3HV), using methanol as the sole carbon source. The 3HV unit was supposed to be derived from propionyl-CoA, synthesized via the ethylmalonyl-CoA pathway impaired by Co²⁺ limitation. This assumption was strongly supported by the dominant incorporation of the 3HV unit into PHA when a strain lacking propionyl-CoA carboxylase was incubated with methanol. Further genetic engineering of M. extorquens AM1 was employed for the methylotrophic synthesis of PHA copolymers. A recombinant strain of M. extorquens AM1C_Ac in which the original PHA synthase gene phaC _Me had been replaced by phaC _Ac , encoding an enzyme with broad substrate specificity from Aeromonas caviae, produced a PHA terpolymer composed of 3HB, 3HV, and a C₆-monomer, (R)-3-hydroxyhexanoate, from methanol. The cellular content and molecular weight of the PHA accumulated in the strain AM1C_Ac were higher than those of PHA in the wild-type strain. The triple deletion of three PHA depolymerase genes in M. extorquens AM1C_Ac showed no significant effects on growth and PHA biosynthesis properties. Overexpression of the genes encoding β-ketothiolase and NADPH-acetoacetyl-CoA reductase increased the cellular PHA content and 3HV composition in PHA, although the cell growth on methanol was decreased. This study opens up the possibility of producing practical PHA copolymers with methylotrophic bacteria using methanol as a feedstock.     

Rice germline‐specific Argonaute MEL1 protein binds to phasiRNAs generated from more than 700 lincRNAs

Small RNAs that interact with Argonaute (AGO) proteins play central roles in RNA‐mediated silencing. MEIOSIS ARRESTED AT LEPTOTENE1 (MEL1), a rice AGO, has specific functions in the development of pre‐meiotic germ cells and the progression of meiosis. Here, we show that MEL1, which is located mostly in the cytoplasm of germ cells, associates preferentially with 21‐nucleotide phased small interfering RNAs (phasiRNAs) that bear a 5′‐terminal cytosine. Most phasiRNAs are derived from 1171 intergenic clusters distributed on all rice chromosomes. From these clusters, over 700 large intergenic, non‐coding RNAs (lincRNAs) that contain the consensus sequence complementary to miR2118 are transcribed specifically in inflorescences, and cleaved within the miR2118 site. Cleaved lincRNAs are processed via DICER‐LIKE4 (DCL4) protein, resulting in production of phasiRNAs. This study provides the evidence that the miR2118‐dependent and the DCL4‐dependent pathways are both required for biogenesis of 21‐nt phasiRNAs associated with germline‐specific MEL1 AGO in rice, and over 700 lincRNAs are key factors for induction of this biogenesis during reproductive‐specific stages.