Genetic diversity of the endangered species Kirengeshoma palmata (Saxifragaceae) in China

In order to investigate the levels of genetic diversity of the endangered species Kirengeshoma palmata (Saxifragaceae), four extant populations were sampled and analyzed using inter-simple sequence repeats (ISSR) markers. We expected a low genetic diversity level, but our results revealed a high level of intraspecific genetic diversity, probably resulting from this species being in a refuge during the last glaciation (at population level: P = 63.25%, A_e = 1.47, H_E = 0.26 and H_O = 0.37; at species level: P = 79.00%, A = 1.5538, H_T = 0.2586 and H_sp = 0.3104). A low level of genetic differentiation among populations was detected based on Nei's genetic diversity analysis (16.69%) and AMOVA (19.36%). Populations shared high levels of genetic identity. Insect pollination and seed dispersal by wind may have facilitated extensive gene flow and are likely responsible for this present structure of genetic variation.     

Relations between biochemical thermodynamics and biochemical kinetics

The parameters in steady-state or rapid-equilibrium rate equations for enzyme-catalyzed reactions depend on the temperature, pH, and ionic strength, and may depend on the concentrations of specific species in the buffer. When the complete rate equation (i.e. the equation with parameters for the reverse reaction as well as the forward reaction) is determined, there are one or more Haldane relations between some of the kinetic parameters and the apparent equilibrium constant for the reaction that is catalyzed. When the apparent equilibrium constant can be calculated from the kinetic parameters, the equilibrium composition can be calculated. This is remarkable because the kinetic parameters all depend on the properties of the enzymatic site, but the apparent equilibrium constant and the equilibrium composition do not. The effects of ionic strength and pH on the unoccupied enzymatic site and the occupied enzymatic site have to cancel in the Haldane relation or in the calculation of the apparent equilibrium constant using the rate constants for the steps in the mechanism. Several simple enzymatic mechanisms and their complete rate equations are discussed.     

Genetic diversity of phenazine- and pyoluteorin-producing pseudomonads isolated from green pepper rhizosphere

The genetic diversity among indigenous phenazine-1-carboxylic acid (PCA)-producing and pyoluteorin (Plt)-producing isolates of pseudomonads screened from green pepper rhizosphere was exploited in this study. A total of 48 bacterium isolates producing one or both of these antibiotics were screened from green pepper rhizosphere in diverse regions in China. Among these isolates, 45 could produce PCA, 3 could produce both PCA and Plt, and none could produce Plt only. Based on the restriction patterns of partial 16S and 16S-23S internal transcribed spacer (ITS) PCR fragments generated by enzyme HaeIII or HinfI, these isolates fell into 19 or 17 distinct groups respectively, indicating that there was a significant diversity among them. Polygenetic analysis of the partial 16S rDNA and 16S-23S ITS sequence from the representative in each group in the context of similar sequence from previously described bacterial species indicated that most isolates were closely related to the species of Pseudomonas fluorescens, P. putida, and Stenotrophomonas maltophilia. Some of these representatives of these isolates, then, are likely to be novel strains or species in these two genera. The GenBank accession numbers for DNA sequences of the partial 16S rDNA with ITS region in each isolate determined in this study were: GP30 DQ003219; GP127 DQ003220; GP83 DQ003221; GP42, DQ003222; GP59 DQ003223; GP50 DQ003224; GP36 DQ003225; GP110 DQ003226; GP26 DQ003227; GP37 DQ003228; GP60 DQ003229; GP31 DQ003230; GP57 DQ003231; GP75 DQ003232; GP115 DQ003233; GP65 DQ003234; GP32 DQ003235; GP76 DQ003236; GP78 DQ003237.     

Dynamical properties of model gene networks and implications for the inverse problem

We study the inverse problem, or the "reverse-engineering" problem, for two abstract models of gene expression dynamics, discrete-time Boolean networks and continuous-time switching networks. Formally, the inverse problem is similar for both types of networks. For each gene, its regulators and its Boolean dynamics function must be identified. However, differences in the dynamical properties of these two types of networks affect the amount of data that is necessary for solving the inverse problem. We derive estimates for the average amounts of time series data required to solve the inverse problem for randomly generated Boolean and continuous-time switching networks. We also derive a lower bound on the amount of data needed that holds for both types of networks. We find that the amount of data required is logarithmic in the number of genes for Boolean networks, matching the general lower bound and previous theory, but are superlinear in the number of genes for continuous-time switching networks. We also find that the amount of data needed scales as 2(K), where K is the number of regulators per gene, rather than 2(2K), as previous theory suggests.     

Qualitative simulation of the carbon starvation response in Escherichia coli

In case of nutritional stress, like carbon starvation, Escherichia coli cells abandon their exponential-growth state to enter a more resistant, non-growth state called stationary phase. This growth-phase transition is controlled by a genetic regulatory network integrating various environmental signals. Although E. coli is a paradigm of the bacterial world, it is little understood how its response to carbon starvation conditions emerges from the interactions between the different components of the regulatory network. Using a qualitative method that is able to overcome the current lack of quantitative data on kinetic parameters and molecular concentrations, we model the carbon starvation response network and simulate the response of E. coli cells to carbon deprivation. This allows us to identify essential features of the transition between exponential and stationary phase and to make new predictions on the qualitative system behavior following a carbon upshift.     

Genetic diversity of an endangered aquatic plant, Potamogeton lucens subspecies sinicus

The genetic diversity of the species, Potamogeton lucens subsp. sinicus var. teganumensis, which is critically endangered in Japan, was investigated. This species now occurs in only two known localities in Japan. One is a native population (Oitoike population), but the other (Teganuma-Okahotto population) is found in a small artificial pond that was dug in 1998. It is considered that the Teganuma-Okahotto population grew from a soil seed bank. Based on RAPD variation, we compared the genetic diversity of the two populations of P. lucens var. teganumensis in Japan and one population of P. lucens subsp. sinicus var. sinicus in China. The Teganuma-Okahotto population showed RAPD variation, suggesting that it may be derived from more than one seed buried in old sediments. This population also had the highest value of Shannon's Information Index among the three study populations. This finding suggests that seeds buried in sediments can contain genetic variability, and may be used to conserve the genetic diversity of rare and endangered plants.     

The extent of clonality and genetic diversity in the rare Caldesia grandis (Alismataceae): Comparative results for RAPD and ISSR markers

Genetic variation and clonal diversity of three natural populations of the rare, highly clonal marsh herb Caldesia grandis Samuelsson were investigated using random amplified polymorphic DNA (RAPD) and inter-simple sequence repeat (ISSR) markers. Both of the markers worked effectively in clone identification of C. grandis. RAPD markers detected more diversity than ISSR markers in the three populations examined. Of the 60 RAPD primers screened, seven produced highly reproducible bands. Using these primers, a total of 61 DNA fragments were generated with 52 (85.25%) being polymorphic indicating considerable genetic variation at the species level. Analysis of molecular variance (AMOVA) showed that a large proportion of genetic variation (81.5%) resided within populations, while only a small proportion (18.5%) resided among populations. With the use of 52 polymorphic RAPD markers, we were able to identify 127 genets among 342 samples from three populations. The proportion of distinguishable genets (PD: mean 0.37), Simpson's diversity index (D: mean 0.91), and evenness (E: mean 0.78) exhibited high levels of clonal diversity compared to other clonal plants. These results imply that sexual reproduction has played an important role at some time during the history of these populations. Nevertheless, the high level of diversity could have been also partially generated from somatic mutations, although this is unlikely to account for the high diversity generally found among C. grandis genets.     

Genetic analysis of candidate genes modifying the age-at-onset in Huntington’s disease

The expansion of a polymorphic CAG repeat in the HD gene encoding huntingtin has been identified as the major cause of Huntington’s disease (HD) and determines 42–73% of the variance in the age-at-onset of the disease. Polymorphisms in huntingtin interacting or associated genes are thought to modify the course of the disease. To identify genetic modifiers influencing the age at disease onset, we searched for polymorphic markers in the GRIK2, TBP, BDNF, HIP1 and ZDHHC17 genes and analysed seven of them by association studies in 980 independent European HD patients. Screening for unknown sequence variations we found besides several silent variations three polymorphisms in the ZDHHC17 gene. These and polymorphisms in the GRIK2, TBP and BDNF genes were analysed with respect to their association with the HD age-at-onset. Although some of the factors have been defined as genetic modifier factors in previous studies, none of the genes encoding GRIK2, TBP, BDNF and ZDHHC17 could be identified as a genetic modifier for HD.Electronic Supplementary Material Supplementary material is available to authorised users in the online version of this article at .     

A novel ABA-hypersensitive mutant in Arabidopsis defines a genetic locus that confers tolerance to xerothermic stress

Hot and dry air (harmattan or xerothermic climate) greatly inhibits plant growth, particularly flowering and seed setting of crops. Little is known about the mechanism of plant response to this extreme environmental stress due to the lack of valuable genetic resource. Here, we report the isolation and characteristics of a unique Arabidopsis mutant, hat1 (h armattan t olerant 1), which shows high tolerance to hot and dry air. Under normal growth conditions, the mutant does not differ in morphology and soil drought tolerance compared to the wild type. When subjected to high temperature (42°C) and low humidity (10–15%), however, it could survive up to 6 days, while the wild type (Col-0) died after 24 h. The hat1 mutant also exhibits enhanced tolerance to soil drought, but only under xerothermic conditions. Mutant plants tightly close their stomata to retain water under xerothermic stress, and are more tolerant to high salinity at all developmental stages, accumulating less Na⁺ and more K⁺ than wild-type plants during NaCl treatment. Interestingly, hat1 plants are also ABA-hypersensitive. Genetic analysis revealed that the hat1 phenotype is caused by a dominant mutation at a single nuclear locus. Mapping studies indicate that Hat1 is located at an interval of 168 kb on chromosome 5 in which 21 genes are known to be regulated by diverse abiotic stresses. A mutant of this kind, to our knowledge, has not been previously reported. Thus, this report serves as a starting point in the genetic dissection of the plant response to xerothermic stress, and provides physiological and genetic evidence of the existence of a novel abiotic stress response pathway that is also ABA-dependent.     

Polymorphisms in eight host genes associated with control of HIV replication do not mediate elite control of viral replication in SIV-infected Indian rhesus macaques

Polymorphisms in several host genes in HIV-infected individuals facilitate slow progression to AIDS. We have identified several SIV-infected Indian rhesus macaques that naturally control viral replication. We investigated whether spontaneous control of SIV in any of these animals could be explained by mutations in host genes. Such variables could confound studies of associations between MHC class I alleles and control of viral replication. We searched for polymorphisms in CCR5, CXCR6, GPR15, RANTES, IL-10, APOBEC3G, TNF-α, and TSG101 and looked for associations with decreased viral replication. We did not detect any correlations between plasma viral concentration and polymorphisms in host genes examined in this study. In addition, we did not find the polymorphisms present in humans in any of our macaques.Nucleotide sequence data reported are available in the GenBank database under accession numbers DQ890030–DQ890063, DQ887987–DQ888038, DQ902356–DQ902543, and DQ913647–DQ913733.