XRCC1 stimulates human polynucleotide kinase activity at damaged DNA termini and accelerates DNA single-strand break repair

XRCC1 protein is required for DNA single-strand break repair and genetic stability but its biochemical role is unknown. Here, we report that XRCC1 interacts with human polynucleotide kinase in addition to its established interactions with DNA polymerase-beta and DNA ligase III. Moreover, these four proteins are coassociated in multiprotein complexes in human cell extract and together they repair single-strand breaks typical of those induced by reactive oxygen species and ionizing radiation. Strikingly, XRCC1 stimulates the DNA kinase and DNA phosphatase activities of polynucleotide kinase at damaged DNA termini and thereby accelerates the overall repair reaction. These data identify a novel pathway for mammalian single-strand break repair and demonstrate a concerted role for XRCC1 and PNK in the initial step of processing damaged DNA ends.     

敦煌壁画色变中微生物因素的研究：Ⅲ.枝孢霉在石窟壁画铅丹变色 …

从敦煌莫高窟分离的枝孢霉在模拟壁画表面萌发的条件为：２０℃,ＲＨ６０％或３０℃,ＲＨ５０％。部分石窟在特定时间内可满足这一条件。骨胶对铅丹起到保护作用,而枝孢霉可以分解骨胶,并利用其生长和形成草酸等代谢产物。这些作用使铅丹处于一个特殊的化学环境,造成稳定性下降,并促进了铅丹向铅白的转变。     

Biodecolourization of azo and triphenylmethane dyes by <Emphasis Type="Italic">Dichomitus squalens</Emphasis> and <Emphasis Type="Italic">Phlebia</Emphasis> spp

Nine white-rot fungal strains were screened for biodecolourization of brilliant green, cresol red, crystal violet, congo red and orange II. Dichomitus squalens, Phlebia fascicularia and P. floridensis decolourized all of the dyes on solid agar medium and possessed better decolourization ability than Phanerochaete chrysosporium when tested in nitrogen-limited broth medium. Journal of Industrial Microbiology & Biotechnology (2002) 28, 201–203 DOI: 10.1038/sj/jim/7000222 Received 12 July 2001/ Accepted in revised form 22 October 2001     

Genetic map of Triticum turgidum based on a hexaploid wheat population without genetic recombination for D genome

ABSTRACT: BACKGROUND: A synthetic doubled-haploid hexaploid wheat population, SynDH1, derived from the spontaneous chromosome doubling of triploid F1 hybrid plants obtained from the cross of hybrids Triticum turgidum ssp. durum line Langdon (LDN) and ssp. turgidum line AS313, with Aegilops tauschii ssp. tauschii accession AS60, was previously constructed. SynDH1 is a tetraploidization-hexaploid doubled haploid (DH) population because it contains recombinant A and B chromosomes from two different T. turgidum genotypes, while all the D chromosomes from Ae. tauschii are homogenous across the whole population. This paper reports the construction of a genetic map using this population. RESULTS: Of the 606 markers used to assemble the genetic map, 588 (97%) were assigned to linkage groups. These included 513 Diversity Arrays Technology (DArT) markers, 72 simple sequence repeat (SSR), one insertion site-based polymorphism (ISBP), and two high-molecular-weight glutenin subunit (HMW-GS) markers. These markers were assigned to the 14 chromosomes, covering 2048.79 cM, with a mean distance of 3.48 cM between adjacent markers. This map showed good coverage of the A and B genome chromosomes, apart from 3A, 5A, 6A, and 4B. Compared with previously reported maps, most shared markers showed highly consistent orders. This map was successfully used to identify five quantitative trait loci (QTL), including two for spikelet number on chromosomes 7A and 5B, two for spike length on 7A and 3B, and one for 1000-grain weight on 4B. However, differences in crossability QTL between the two T. turgidum parents may explain the segregation distortion regions on chromosomes 1A, 3B, and 6B. CONCLUSIONS: A genetic map of T. turgidum including 588 markers was constructed using a synthetic doubled haploid (SynDH) hexaploid wheat population. Five QTLs for three agronomic traits were identified from this population. However, more markers are needed to increase the density and resolution of this map in the future study.     

Spatio-temporal tumour model for analysis and mechanism of action of intracellular drug accumulation

We have developed a one-dimensional tumour simulator to describe the biodistribution of chemotherapeutic drugs to a tumoral lesion and the tumour cell’s response to therapy. A three-compartment model is used for drug dynamics within the tumour. The first compartment represents the extracellular space in which cells move, the second corresponds to the intracellular fluid space (including cell membrane) which is in direct equilibrium with the extracellular space, and the third is a non-exchangeable compartment that represents sequestered drug which is trapped in the nucleus to damage the cellular DNA, directly triggering cell death. Analytical and numerical techniques (Finite Element Method) are used to describe the tumour’s response to therapy and the effect of parameter variation on the drug concentration profiles in the three compartments.     

Confounding from cryptic relatedness in haplotype-based association studies

Cryptic relatedness was suggested to be an important source of confounding in population-based association studies (PBAS). The impact of cryptic relatedness on the performance of haplotype phase inference and haplotype-based association tests is not clear. In this study, we used the Hapmap genetic data to simulate a set of related samples. We evaluated the accuracy of haplotype phase inferred by PHASE 2.1 and calculated the power, type I error rates, accuracy and positive prediction value (PPV) of haplotype frequency-based association tests (HFAT) and haplotype similarity-based association tests (HSAT) under various scenarios, considering relatedness levels, disease models and sample sizes. Cryptic relatedness appeared to slightly increase the accuracy of haplotype phase inference. We observed significant negative effect of cryptic relatedness on the performance of HFAT and HSAT. Ignoring cryptic relatedness may increase spurious association results in haplotype-based PBAS.     

Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass

A fuzzy logic feedback control system was developed for process monitoring and feeding control in fed-batch enzymatic hydrolysis of a lignocellulosic biomass, dilute acid-pretreated corn stover. Digested glucose from hydrolysis reaction was assigned as input while doser feeding time and speed of pretreated biomass were responses from fuzzy logic control system. Membership functions for these three variables and rule-base were created based on batch hydrolysis data. The system response was first tested in LabVIEW environment then the performance was evaluated through real-time hydrolysis reaction. The feeding operations were determined timely by fuzzy logic control system and efficient responses were shown to plateau phases during hydrolysis. Feeding of proper amount of cellulose and maintaining solids content was well balanced. Fuzzy logic proved to be a robust and effective online feeding control tool for fed-batch enzymatic hydrolysis.     

Electron acceptors for anaerobic oxidation of methane drive microbial community structure and diversity in mud volcanoes

Mud volcanoes (MVs) emit globally significant quantities of methane into the atmosphere, however, methane cycling in such environments is not yet fully understood, as the roles of microbes and their associated biogeochemical processes have been largely overlooked. Here, we used data from high‐throughput sequencing of microbial 16S rRNA gene amplicons from six MVs in the Junggar Basin in northwest China to quantify patterns of diversity and characterize the community structure of archaea and bacteria. We found anaerobic methanotrophs and diverse sulfate‐ and iron‐reducing microbes in all of the samples, and the diversity of both archaeal and bacterial communities was strongly linked to the concentrations of sulfate, iron and nitrate, which could act as electron acceptors in anaerobic oxidation of methane (AOM). The impacts of sulfate/iron/nitrate on AOM in the MVs were verified by microcosm experiments. Further, two representative MVs were selected to explore the microbial interactions based on phylogenetic molecular ecological networks. The sites showed distinct network structures, key species and microbial interactions, with more complex and numerous linkages between methane‐cycling microbes and their partners being observed in the iron/sulfate‐rich MV. These findings suggest that electron acceptors are important factors driving the structure of microbial communities in these methane‐rich environments.     

CRISPR/Cas9 activity in the rice <Emphasis Type="Italic">OsBEIIb</Emphasis> gene does not induce off-target effects in the closely related paralog <Emphasis Type="Italic">OsBEIIa</Emphasis>

Genome editing with the CRISPR/Cas9 system allows mutations to be induced at any 20-bp target site in the genome preceded by the short protospacer adjacent motif (PAM) 5′-NGG-3′. The brevity and degeneracy of the PAM ensures that the motif occurs every ~10 bp in plant genomes, and all plant genes therefore contain many targetable sites. However, the CRISPR/Cas9 system tolerates up to three mismatches in the target site, so the ability to target genes in a specific manner requires the design of synthetic guide RNAs (sgRNAs) that do not bind off-target sites anywhere else in the genome. This is straightforward for single-copy genes but more challenging if a target gene has one or more paralogs because the principles that balance targeting efficiency (the frequency of on-target mutations) and accuracy (the absence of off-target mutations) are not fully understood and may be partially species-dependent. To investigate this phenomenon in rice, we targeted the rice starch branching enzyme IIb gene (OsBEIIb) with two sgRNAs designed to differ at two and six positions, respectively, from corresponding sites in the close paralog OsBEIIa. In each case, half of the mismatches were in the essential seed region immediately upstream of the PAM, where exact pairing is thought to be necessary, and the other half were in the distal part of the target. The sgRNAs also differed in predicted targeting efficiency (39 and 96 %, respectively). We found that the sgRNA with the low predicted efficiency was actually the most efficient in practice, achieving a mutation frequency of 5 % at the target site, whereas the sgRNA with the high predicted efficiency generated no mutations at the second target site. Furthermore, neither of the sgRNAs induced an off-target mutation in the OsBEIIa gene. Our data indicate that efficiency predictions should be tested empirically because they do not always reflect the experimental outcome and that a 1-bp mismatch in the seed region of a sgRNA is sufficient to avoid off-target effects even in closely related rice genes.