Plateau-linear reaction norm model analysis of number born alive in purebred Landrace pigs using meteorological data in Japan.

We performed a plateau-linear reaction norm model (RNM) analysis of number born alive (NBA) in purebred Landrace pigs, where breeding value changes according to maximum temperature at mating day, using public meteorological observation data in Japan. We analysed 52,668 NBA records obtained from 10,320 Landrace sows. Pedigree data contained 99,201 animals. Off-farm daily temperature data at the nearest weather station from each of the farms were downloaded from the Japan Meteorological Agency website. A plateau-linear RNM analysis based on daily maximum temperature on mating day (threshold temperature of 16.6°C) was performed. The percentage of the records with daily maximum temperatures at mating days of ≤16.6, ≥25.0, ≥30.0 and ≥35.0°C were 34.3%, 33.6%, 14.0% and 0.8%, respectively. The value of Akaike's information criterion for the plateau-linear RNM was lower than that for a simple repeatability model (RM). With the plateau-linear RNM, estimated value of heritability ranged from 0.14 to 0.15, while that from the RM analysis was 0.15. Additive genetic correlation between intercept and slope terms was estimated to be -0.52 from the plateau-linear RNM analysis. Estimated additive genetic correlations were >0.9 between NBA at different temperatures ranging from 16.6 to 37.6°C. For the 10,320 sows, average values of prediction reliability of the intercept and slope terms for breeding values in the plateau-linear RNM were 0.47 and 0.16, respectively. Increasing weight for slope term in linear selection index could bring positive genetic gain in the slope part, but prediction accuracy would decrease. Our results imply that genetically improving heat tolerance in sows reared in Japan focusing on NBA using RNM is possible, while RNM is more complex to implement and interpret. Therefore, further study should be encouraged to make genetic improvement for heat tolerance in sows more efficient.

Heritability and genetic correlation estimates of semen production traits with litter traits and pork production traits in purebred Duroc pigs.

We estimated heritabilities of semen production traits and their genetic correlations with litter traits and pork production traits in purebred Duroc pigs. Semen production traits were semen volume, sperm concentration, proportion of morphologically normal sperms, total number of sperm, and total number of morphologically normal sperm. Litter traits at farrowing were total number born, number born alive, number stillborn, total litter weight at birth, mean litter weight at birth, and piglet survival rate at birth. Litter traits at weaning were litter size at weaning, total litter weight at weaning, mean litter weight at weaning, and piglet survival rate from birth to weaning. Pork production traits were average daily gain, backfat thickness, and loin muscle area. We analyzed 45,913 semen collection records of 896 boars, 6,950 farrowing performance records of 1,400 sows, 2,237 weaning performance records of 586 sows, and individual growth performance records of 9,550 animals measured at approximately 5 mo of age. Heritabilities were estimated using a single-trait animal model. Genetic correlations were estimated using a 2-trait animal model. Estimated heritabilities of semen production traits ranged from 0.20 for sperm concentration to 0.29 for semen volume and were equal to or higher than those of litter traits, ranging from 0.06 for number stillborn and piglet survival rate at birth to 0.25 for mean litter weight at birth, but lower than those of pork production traits, ranging from 0.50 for average daily gain to 0.63 for backfat thickness. In many cases, the absolute values of estimated genetic correlations between semen production traits and other traits were smaller than 0.3. These estimated genetic parameters provide useful information for establishing a comprehensive pig breeding scheme.

Genetic parameters of 5 semen production traits, 10 litter traits, and 3 pork production traits in purebred Duroc pigs was estimated. Heritabilities of semen production traits ranged from 0.20 for sperm concentration to 0.29 for semen volume and were equal to or higher than those of litter traits, ranging from 0.06 for number stillborn and piglet survival rate at birth to 0.25 for mean litter weight at birth, but lower than those of pork production traits, ranging from 0.50 for average daily gain to 0.63 for backfat thickness. In many cases, the absolute values of genetic correlations between semen production traits and other traits were smaller than 0.3. These estimated genetic parameters provide useful information for establishing a comprehensive pig breeding scheme.

Evaluation of genetic trends and determination of the optimal number of cumulative records of parity required in reproductive traits in a Large White pig population.

Genetic improvement of the reproductive performance of pigs is important for pig breeding despite their low heritabilities. The objectives of this study were to investigate the effectiveness of selection concerning reproductive traits and to determine the optimal number of parity records required for accurate estimation of breeding values (BVs) in the open population of a commercial pig breeding company. The study used records of 2220 purebred Large White pigs (9845 litters) farrowed between 1998 and 2009 in the two herds of the Pacific Ocean Breeding Co. Ltd. The traits studied included farrowing interval (FI), total number of piglets at birth (TNB), average weaning weight per litter (AWW), and raising rate (RR). A statistical model was applied to the 4-trait repeatability animal model. The heritabilities of FI, TNB, AWW and RR were low. The genetic trends in TNB (h(2) = 0.09) showed approximately 1.0 increase in 6 years from 2003 to 2008. The predicted error variances indicated that up to fourth parity records are necessary for accurate genetic evaluation. The present study results indicated that even reproductive traits with low heritability can be improved.

BioCapacitor--a novel category of biosensor.

This research reports on the development of an innovative biosensor, known as BioCapacitor, in which biological recognition elements are combined with a capacitor functioning as the transducer. The analytical procedure of the BioCapacitor is based on the following principle: a biocatalyst, acting as a biological recognition element, oxidizes or reduces the analyte to generate electric power, which is then charged into a capacitor via a charge pump circuit (switched capacitor regulator) until the capacitors attains full capacity. Since the charging rate of the capacitor depends on the biocatalytic reaction of the analyte, the analyte concentration can be determined by monitoring the time/frequency required for the charge/discharge cycle of the BioCapacitor via a charge pump circuit. As a representative model, we constructed a BioCapacitor composed of FAD-dependent glucose dehydrogenase (FADGDH) as the anodic catalyst, and attempted a glucose measurement. Charge/discharge frequency of the BioCapacitor increased with the increasing glucose concentration, exhibiting good correlation with glucose concentration. We have also constructed a wireless sensing system using the BioCapacitor combined with an infrared light emitting diode (IRLED), an IR phototransistor system. In the presence of glucose, the IRLED signal was observed due to the discharge of the BioCapacitor and detected by an IR phototransistor in a wireless receiver. Therefore, a BioCapacitor employing FADGDH as its anodic catalyst can be operated as a self-powered enzyme sensor.

Biofuel cell system employing thermostable glucose dehydrogenase.

Enzyme biofuel cells utilizing glucose dehydrogenase as an anode enzyme were constructed. The glucose dehydrogenase is composed of a catalytic subunit, an electron transfer subunit, and a chaperon-like subunit. Cells, constructed using either a glucose dehydrogenase catalytic subunit or a glucose dehydrogenase complex, displayed power outputs that were dependent on the glucose concentration. The catalytic subunit in the anode maintained its catalytic activity for 24 h of operation. The biofuel cell which composed of glucose dehydrogenase complex functioned successfully even in the absence of an electron mediator at the anode cell. These results indicate the potential application of this thermostable glucose dehydrogenase for the construction of a compartment-less biofuel cell.

Crystal structures of hydrogenase maturation protein HypE in the Apo and ATP-bound forms.

The hydrogenase maturation protein HypE serves an essential function in the biosynthesis of the nitrile group, which is subsequently coordinated to Fe as CN(-) ligands in [Ni-Fe] hydrogenase. Here, we present the crystal structures of HypE from Desulfovibrio vulgaris Hildenborough in the presence and in the absence of ATP at a resolution of 2.0 A and 2.6 A, respectively. Comparison of the apo structure with the ATP-bound structure reveals that binding ATP causes an induced-fit movement of the N-terminal portion, but does not entail an overall structural change. The residue Cys341 at the C terminus, whose thiol group is supposed to be carbamoylated before the nitrile group synthesis, is completely buried within the protein and is located in the vicinity of the gamma-phosphate group of the bound ATP. This suggests that the catalytic reaction occurs in this configuration but that a conformational change is required for the carbamoylation of Cys341. A glutamate residue is found close to the thiol group as well, which is suggestive of deprotonation of the carbamoyl group at the beginning of the reactions.

Development of a novel glucose enzyme fuel cell system employing protein engineered PQQ glucose dehydrogenase.

Glucose dehydrogenase harboring pyrroloquinoline quinone as the prosthetic group (PQQGDH) from Acinetobacter calcoaceticus is an ideal enzyme for the anode of biofuel cell, because of its oxygen insensitivity and high catalytic efficiency. However, the application of PQQGDH for the bioanode is inherently limited because of its instability. Using Ser415Cys mutant whose stability was greatly improved, we constructed the biofuel cell system employing the engineered PQQGDH as the bioanode enzyme and bilirubin oxidase (BOD) as the biocathode, and compared the stability of the biofuel cell with that employing wild-type PQQGDH. The maximum power density was 17.6 microW/cm2 at an external optimal load of 200 k omega. Using Ser415Cys mutant, the lifetime of the biofuel cell system was greatly extended to 152 h, more than six times as that of the biofuel cell employing the wild-type.

Expression of rice chitinase gene triggered by the direct injection of Ca2+.

In response to an elicitor, the Ca2+-dependent fluorescence (Fluo-3-Ca2+) increased transiently and then the expression of the chitinase gene (chi) followed. The gene expression was detected by Northern analysis. The deletion of Ca2+ from the medium or the addition of a Ca2+ channel blocker, verapamil, to the medium caused no gene expression, which supported the key role of Ca2+ in the signaling towards the chi expression. Then the Ca2+-injection experiment was done in order to investigate if it could trigger the chi expression. The plasmid pCHI-GFP (promoter: chi, reporter: green fluorescent protein gene (gfp)) was injected into the single-protoplasts, then after 1 day of incubation at 25 degrees C, 100 microM CaCl2 was injected into the same cells. After successive incubation for 1 day, 41 out of 85 cells showed the gene expression. The injection of 100 microM MgCl2, however, caused no gene expression. Therefore, Ca2+ could induce the chi of rice in the absence of the elicitor stimulus.