title: Thermostable cellobiohydrolase from the thermophilic eubacterium Thermotoga sp. strain FjSS3-B.1. Purification and properties.

authors: Ruttersmith, L.D.

subjects: biology

abstract: Exo-1,4-beta-cellobiohydrolase (EC 3.2.1.91) was isolated from the culture supernatant of Thermotoga sp. strain FjSS3-B.1, an extremely thermophilic eubacterium that grows optimally at 80 degrees C. The enzyme was purified to homogeneity as determined by SDS/PAGE and has an Mr of 36,000. The enzyme is the most thermostable cellulase reported to date, with a half-life at 108 degrees C of 70 min in buffer. In a 40 min assay, maximal activity was recorded at 105 degrees C. Cellobiohydrolase from strain FjSS3-B.1 is active against amorphous cellulose and CM-cellulose but only effects limited hydrolysis of filter paper or Sigmacell 20. The only product identified by h.p.l.c. is the disaccharide cellobiose. The enzyme has a pH optimum around neutral and is stabilized by the presence of 0.8 M-NaCl.

text: Thermostable cellobiohydrolase from the thermophilic eubacterium Thermotoga sp. strain FjSS3-B.1. Purification and properties. Exo-1,4-beta-cellobiohydrolase (EC 3.2.1.91) was isolated from the culture supernatant of Thermotoga sp. strain FjSS3-B.1, an extremely thermophilic eubacterium that grows optimally at 80 degrees C. The enzyme was purified to homogeneity as determined by SDS/PAGE and has an Mr of 36,000. The enzyme is the most thermostable cellulase reported to date, with a half-life at 108 degrees C of 70 min in buffer. In a 40 min assay, maximal activity was recorded at 105 degrees C. Cellobiohydrolase from strain FjSS3-B.1 is active against amorphous cellulose and CM-cellulose but only effects limited hydrolysis of filter paper or Sigmacell 20. The only product identified by h.p.l.c. is the disaccharide cellobiose. The enzyme has a pH optimum around neutral and is stabilized by the presence of 0.8 M-NaCl.

year: 1991

title: Resting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete population

authors: Schofield, Katherine Lesley

subjects: Science & Technology

abstract: Resting metabolic rate (RMR) is the amount of energy the body uses at rest. A suppressed RMR has been correlated with low energy availability and therefore used as an indicator of an individual's energy state. Furthermore, confounding identification of low energy availability within an athletic population are the physiological measures required, which can be time consuming and require professional expertise. To negate the demands of laboratory protocols in measuring RMR, predicted RMR (pRMR) equations were developed. Caution should be exercised when applying the pRMR equations for determining low energy availability in athletes owing to the population used to develop the equations and the higher metabolic cost of fat‐free mass, thus elevated RMR, associated with athletes. Moreover, a low ratio of measured RMR to pRMR is often used as an alternative marker for energy deficiency. Predictive equations should implement fat‐free mass within the algorithm when estimating RMR in athletic populations. The purpose of this paper is to describe pRMR equation development and the issues associated with use of pRMR equations for athletic populations. As professional sport increases, validation of pRMR equations in the modern athlete population is needed to monitor energy availability for athletic health and performance.

text: Resting metabolic rate prediction equations and the validity to assess energy deficiency in the athlete population Resting metabolic rate (RMR) is the amount of energy the body uses at rest. A suppressed RMR has been correlated with low energy availability and therefore used as an indicator of an individual's energy state. Furthermore, confounding identification of low energy availability within an athletic population are the physiological measures required, which can be time consuming and require professional expertise. To negate the demands of laboratory protocols in measuring RMR, predicted RMR (pRMR) equations were developed. Caution should be exercised when applying the pRMR equations for determining low energy availability in athletes owing to the population used to develop the equations and the higher metabolic cost of fat‐free mass, thus elevated RMR, associated with athletes. Moreover, a low ratio of measured RMR to pRMR is often used as an alternative marker for energy deficiency. Predictive equations should implement fat‐free mass within the algorithm when estimating RMR in athletic populations. The purpose of this paper is to describe pRMR equation development and the issues associated with use of pRMR equations for athletic populations. As professional sport increases, validation of pRMR equations in the modern athlete population is needed to monitor energy availability for athletic health and performance.

year: 2019

title: Catchment and lake water quality modelling to assess management options for Lake Tutira

authors: McBride, Chris G.

abstract: Lake Tutira is an important ecological, historical and cultural asset to the Hawke’s Bay. It is a highly utilised trout fishery, a popular recreational destination, and is particularly significant to Ngāti Kahungunu, for its historical eel fishery and rongoa (medicinal) harakeke (flax) beds. The lake and its catchment have been substantially altered from their natural condition, including conversion of forested catchment to pasture, invasion by aquatic macrophytes such as Hydrilla sp., the introduction of grass carp (Ctenopharyngaodon idella) for weed management, and diversion of the largest stream inflow, Papakiri Stream (Sandy Creek), away from the lake and directly to the outflow (Mahiaruhe Stream) in the early 1980s. Lake Tutira’s history of poor water quality dates back decades, with Trophic Level Index (TLI; a metric of overall water quality) values from the 1960s similar to recent years, and blooms of cyanobacteria (blue-green algae) recorded as early as the 1970s. Nevertheless, the years since 2010 have been characterised by very poor water quality and particularly severe blooms, sometimes resulting in near-complete loss of oxygen from surface waters and associated fish kill events. This has attracted media attention and provided impetus from community and stakeholders to assess available management options for restoring more natural conditions and improving water quality in the lake. 
This report examines the drivers of poor water quality and algal blooms the lake, and assesses various management options that have either been specifically proposed for Tutira, or have proven effective for other lakes in New Zealand and globally. Here we report on monitoring undertaken by Hawke’s Bay Regional Council in the catchment (surface inflows) and lake. We also apply state-of-the-art computer models for simulating physical, chemical, and biological processes in the catchment and lake. These simulations are then used to evaluate a range of management ‘scenarios’ to provide guidance on the likely effects of management options tested with the model.

text: Catchment and lake water quality modelling to assess management options for Lake Tutira Lake Tutira is an important ecological, historical and cultural asset to the Hawke’s Bay. It is a highly utilised trout fishery, a popular recreational destination, and is particularly significant to Ngāti Kahungunu, for its historical eel fishery and rongoa (medicinal) harakeke (flax) beds. The lake and its catchment have been substantially altered from their natural condition, including conversion of forested catchment to pasture, invasion by aquatic macrophytes such as Hydrilla sp., the introduction of grass carp (Ctenopharyngaodon idella) for weed management, and diversion of the largest stream inflow, Papakiri Stream (Sandy Creek), away from the lake and directly to the outflow (Mahiaruhe Stream) in the early 1980s. Lake Tutira’s history of poor water quality dates back decades, with Trophic Level Index (TLI; a metric of overall water quality) values from the 1960s similar to recent years, and blooms of cyanobacteria (blue-green algae) recorded as early as the 1970s. Nevertheless, the years since 2010 have been characterised by very poor water quality and particularly severe blooms, sometimes resulting in near-complete loss of oxygen from surface waters and associated fish kill events. This has attracted media attention and provided impetus from community and stakeholders to assess available management options for restoring more natural conditions and improving water quality in the lake. 
This report examines the drivers of poor water quality and algal blooms the lake, and assesses various management options that have either been specifically proposed for Tutira, or have proven effective for other lakes in New Zealand and globally. Here we report on monitoring undertaken by Hawke’s Bay Regional Council in the catchment (surface inflows) and lake. We also apply state-of-the-art computer models for simulating physical, chemical, and biological processes in the catchment and lake. These simulations are then used to evaluate a range of management ‘scenarios’ to provide guidance on the likely effects of management options tested with the model.

year: 2017