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Environment, Controlled

Q: What is a Controlled Environment?

A Controlled Environment refers to an artificial setting where environmental conditions like temperature, humidity, lighting, and air quality are precisely manipulated and regulated. This type of environment is designed to minimize the influence of uncontrolled variables, allowing for more accurate and reproducible research results. Controlled environments are commonly used in fields like agriculture, biotechnology, pharmaceutical development, and climate research.

Q: Why are Controlled Environments important for research?

Controlled Environments are crucial for research because they enable scientists to isolate and investigate the impacts of individual environmental parameters. By carefully managing the surroundings, researchers can obtain more reliable data and gain deeper scientific insights. This level of control helps improve the accuracy and reproducibility of experiments, which is essential for advancing scientific knowledge and developing new technologies.

Q: How can PubCompare.ai help with Controlled Environment research?

PubCompare.ai can enhance your Controlled Environment research in several ways. First, it allows you to screen protocol literature more efficiently, helping you locate the most relevant protocols from published studies, preprints, and patents. Second, the platform's AI-driven analysis can pinpoint critical insigths, enabling you to identify the most effective protocols related to Controlled Environments for your specific research goals. By leveraging PubCompare.ai's intelligent comparisons, you can choose the best protocols to ensure reproducibility and accuracy in your studies.

Q: What are some common applications of Controlled Environments?

Controlled Environments have a wide range of applications across various disciplines. In agriculture, they are used to study plant growth, pest management, and crop yield optimization. In biotechnology and pharmaceutical development, Controlled Environments are employed to investigate the effects of environmental factors on cell cultures, microbial fermentation, and drug stability. Climate researchers utilize Controlled Environments to study the impacts of temperature, humidity, and other climatic variables on natural and human systems. Industrial applications include material testing, product development, and quality control, where Controlled Environments help minimize the influence of unwanted variables.

Q: What are the different types of Controlled Environments?

Controlled Environments can vary in their level of sophistication and the specific parameters they regulate. Some common types include growth chambers, incubators, environmental chambers, and climate-controlled rooms. These systems may differ in their size, the number of environmental factors they control, and the degree of precision they achieve. Researchers should carefully select the type of Controlled Environment that best suits their experimental needs and constraints, such as sample size, budget, and spatial requirements.

Q: How can I ensure the optimal use of Controlled Environments in my research?

To ensure the optimal use of Controlled Environments, it's important to carefully design your experimental protocols and thoroughly document all environmental parameters. Additionally, regular calibration and monitoring of the Controlled Environment system are crucial to maintain the desired conditions throughout your experiments. PubCompare.ai can assist in this process by helping you identify the most effective protocols and products for your specific research needs, enabling you to choose the best approach for reproducibility and accuracy.

Environment, Controlled refers to the artificial manipulation and regulation of environmental conditions, such as temperature, humidity, lighting, and air quality, in order to create a specific, controlled setting for research, experimentation, or other scientific or industrial applications.
This type of environment is designed to minimize the influence of uncontrolled variables, allowing for more accurate and reproducible results.
Controlled environments are commonly used in fields like agriculture, biotechnology, pharmaceutical development, and climate research to study the effects of environmental factors on organisms, processes, or materials.
By precisely managing the surroundings, researchers can isolate and investigate the impacts of individual parameters, leading to enhanced data reliability and scientific insights.

Most cited protocols related to «Environment, Controlled»

Marijuana Craving and Withdrawal Assessment

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Publication 2009

Cannabis sativa Compulsive Behavior Emotions Environment, Controlled Marijuana Use Mood Visual Analog Pain Scale Withdrawal Symptoms

Validated Submaximal Cycle Test Protocol

All tests were performed in climate-controlled laboratory environment. When arriving to the test centre, body mass (measured while wearing in light-weight clothes to the nearest 0.1 kg) and height (to the nearest 0.1 cm) were measured. The participants were informed about the test procedure and equipped with a HR monitor (Polar Electro, Kempele, Finland). After individual adjustments of the seat and handlebar of the cycle ergometer and an introduction of the Borg´s scale of perceived exertion (RPE) (Borg 1970 (link)), the participant performed an EB-test according to the original 2012 test procedure (Ekblom-Bak et al. 2014 (link)). The test was performed on a mechanically braked cycle ergometer (Monark model 828E, Varberg, Sweden). Test procedure included 4 min of cycling on a standard and low work rate of 0.5 kilopond (kp) with a pedal frequency of 60 rpm (≈30 W when 1 W = 6.116 kpm/min), directly followed by 4 min of cycling on a higher individually chosen work rate (aiming at a RPE of ≈14 on the Borg scale). Mean steady-state HR during the last minute on the low and high work rates, respectively, was recorded by taking the mean of the observed HR at 3:15, 3:30, 3:45, and 4:00 min at each work rate. In addition, VO₂max was also estimated by the Åstrand test method by applying the work rate and HR of the high work rate to the Åstrand nomogram (Åstrand and Ryhming 1954 (link)) and associated age-correction factors (Åstrand 1960 ). The same way of obtaining Åstrand test results from the EB-test procedure was used in the original publication of the first EB-test prediction equation, and is further described and discussed in the previous article (Ekblom-Bak et al. 2014 (link)). Direct measurement of VO₂ during the submaximal cycle test was conducted in a subsample (n = 110) in the model group, using a computerised metabolic system (Jaeger Oxycon pro, Hoechberg, Germany) connected to a face mask worn by the participant. Before each test, ambient temperature, humidity, and barometric pressure were measured with built-in automatic procedures and a handheld instrument (HygroPalm, Rotronic, Bassersdorf, Schweiz). Gas analyzers and inspiratory flowmeter were calibrated with the metabolic system’s built-in automatic procedures, where high-precision calibration gases (15.00 ± 0.01 % O₂ and 6.00 ± 0.01 % CO₂, Air Liquid, Kungsängen, Sweden), and ambient indoor air was used for the gas analyses.
After a short rest, a 5 min warm-up on the treadmill preceded a graded maximal treadmill test to measure VO₂max. The individually designed protocol for the VO₂max test started off at 1° incline and a velocity corresponding to approximately 60–65 % of the participant’s estimated VO₂max (usually the speed that the participant felt comfortable with during the warm-up). The speed increased 1 km/h during the first 3 to 4 min of the test, and thereafter, there was an increase in incline with +1° every minute until voluntary exhaustion. For some of the well-trained participants, running to an incline of 5°–6°, there was an additional increase in speed (+1 km h⁻¹ per minute) to avoid too steep inclination on the treadmill. Direct measurements of VO₂ were obtained during the test with the same computerised system as mentioned above (Jaeger Oxycon pro). Criteria for acceptance of the VO₂max measurement were levelling off of VO₂ despite an increase in speed or incline, a respiratory exchange ratio >1.1, RPE above 16, work time above 6 min, supported by a maximal HR within ±15 beats min⁻¹ (bpm) from age-predicted maximal HR (ref Åstrand Rodahl). A test was accepted as VO₂max when a minimum of three out of the five criteria was achieved. In the model group, nine participants were tested but later excluded due to non-fulfilling the requirements for acceptance of test (five participants failed the VO₂max test and four participants had non-valid EB test). The corresponding values in the cross-validation group were four excluded participants in total, two with non-valid VO₂max test and two with non-valid EB-test.
VO₂max (L min⁻¹) and maximal HR (bpm) were recorded into 30 and 5 s epochs, respectively. We have previously shown that there is no mean difference and a small variation (CV: 2.7 %) between test–retest of VO₂max according to the above procedure in a mixed population (Ekblom-Bak et al. 2014 (link)), indicating no need for a second VO₂max test on a separate test day to verify the first accepted measurement.

Björkman F., Ekblom-Bak E., Ekblom Ö, & Ekblom B. (2016). Validity of the revised Ekblom Bak cycle ergometer test in adults. European Journal of Applied Physiology, 116, 1627-1638.

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Publication 2016

Climate Environment, Controlled EPOCH protocol Face Feelings Flowmeters Foot Human Body Humidity Inhalation Light Pressure Respiratory Rate STEEP1 protein, human Treadmill Test

Behavioral Characterization of Thy1-hAPP Mice

Five- to six-month-old male Thy1-hAPP^Lond/Swe+ mice and their wild-type littermates were used in this study. Transgenic lines were maintained by crossing heterozygous Thy1-hAPP^Lond/Swe+ mice with C57BL/6J breeders. Littermate cage-mates were used as control mice. Five cohorts of mice with an n between nine and 19 were used. The total number of mice used was 68 controls and 65 mutants. The genotype of all animals was determined by PCR before experiments. All transgenic mice were heterozygous with respect to the hAPP^Lond/Swe gene. Twelve-week-old male C57BL/6J mice (from Jackson Laboratory, Bar Harbor, ME) were used for the validation of the delayed-matching-to-place (DMP) dry maze task. All animals were housed in a 12-h dark/light cycle, temperature- and humidity-controlled environment with unlimited access to water and food. The same group of animals was tested in the activity chamber, open field, and fear conditioning (FC). Different groups of mice were used for the social interaction tests, Morris water maze (MWM), DMP water maze, DMP dry maze, and hot plate test. Experimenters were blind to the genotype of the mice throughout testing. All tests were conducted in the light cycle. In all experiments, animals were habituated to the testing room 2 h before the tests and were handled by the experimenter for five days before all the behavioral tests. All experiments were in accordance with protocols approved by the Institutional Animal Care and Use Committee of Stanford University and were performed based on the National Institutes of Health Guide for the Care and Use of Laboratory Animals. All actions were considered for reducing discomfort of animals during all experiments.

Faizi M., Bader P.L., Saw N., Nguyen T.V., Beraki S., Wyss-Coray T., Longo F.M, & Shamloo M. (2012). Thy1-hAPPLond/Swe+ mouse model of Alzheimer's disease displays broad behavioral deficits in sensorimotor, cognitive and social function. Brain and Behavior, 2(2), 142-154.

Publication 2012

Animals Animals, Laboratory Animals, Transgenic Behavior Test Environment, Controlled Fear Food Genes Genotype Heterozygote Humidity Institutional Animal Care and Use Committees Males MAZE protocol Mice, Inbred C57BL Mice, Laboratory Mice, Transgenic Morris Water Maze Test Visually Impaired Persons

Heterozygous and Homozygous zQ175 Mouse Model

Experiments were conducted at Charles River Discovery Research Services, Kuopio, Finland, except the immunohistochemical measurements which were performed at MBF Labs, Williston, VT, USA, and the brain slice physiology conducted at Neuroservice SARL, France. All animal experiments were conducted according to the National Institute of Health (NIH) guidelines for the care and use of laboratory animals, and approved by the State Provincial Office of Southern Finland. For behavioral experiments, 10 female heterozygous (HET), 9 female homozygous (HOMO) zQ175 mice and 10 female wild-type littermate controls (WT) were acquired from Psychogenics Inc. (Tarrytown, NY, USA). zQ175 mice, originating from the CAG 140 mice (from germline CAG expansion) were generated by Psychogenics Inc. Homozygous, heterozygous and wild-type mice were generated by crossing heterozygous zQ175 mice on a C57B/L6J background. Genotyping and CAG repeat count were determined by Laragen Inc. (Culver City, CA, USA) at 10–15 days of age by PCR of tail snips. The average CAG repeat length was 178.3 (range 173 to 182) in heterozygous mice and 180.7 (range 175 to 185) in the homozygous mice. All the mice were housed in groups of up to 5 per cage, in a temperature (22±1°C) and humidity (30–70%) controlled environment with a normal light-dark cycle (7:00–20:00). All mice were housed in cages (dimensions: length 35 cm×width 19 cm×height 13 cm) with clean bedding covering the ground changed as needed to provide animals with dry bedding. In addition, a red mouse igloo was placed in each cage to provide environmental enrichment and shelter. Food (Purina Lab Diet 5001) and water were available ad libitum to mice in home cages. Water spouts were fitted with extensions to allow easy access from floor level. Mouse body weight was recorded weekly.

Heikkinen T., Lehtimäki K., Vartiainen N., Puoliväli J., Hendricks S.J., Glaser J.R., Bradaia A., Wadel K., Touller C., Kontkanen O., Yrjänheikki J.M., Buisson B., Howland D., Beaumont V., Munoz-Sanjuan I, & Park L.C. (2012). Characterization of Neurophysiological and Behavioral Changes, MRI Brain Volumetry and 1H MRS in zQ175 Knock-In Mouse Model of Huntington's Disease. PLoS ONE, 7(12), e50717.

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Publication 2012

Animals Animals, Laboratory Body Weight Brain Diet Environment, Controlled Females Food Germ Line Heterozygote Homozygote Humidity Mice, House physiology Rivers Tail

Transgenic Mouse Models for In Vivo Experiments

Wild type mice (C57/B6), SOD1 G93A transgenic mice, BAC GLT1 eGFP (previously generated in our lab) (Regan et al. 2007 (link)), BAC NG2 DsRed (kind gift of Dr. Dwight Bergles, Dept. of Neuroscience, Johns Hopkins University), BAC ALDH1L1 eGFP mice (GENSAT project), GFAP eGFP mice (Jackson laboratory) were used for in vivo experiments. The care and treatment of animals in all procedures strictly followed the NIH Guide for the Care and Use of Laboratory Animals and the Guidelines for the Use of Animals in Neuroscience Research and the Johns Hopkins University IACUC. Mice were housed at standard temperature (21°C) and in a light controlled environment with ad libitum access to the food and water. BAC ALDH1L1 eGFP (and GFAP eGFP) mice were crossed with SOD1 G93A mice to obtain double transgenic mice. Littermates were used as control. Mice were sacrificed at designated time point following breeding or experiment. A 30-gauge needle was used to induce an acute lesion in the striatum.

Yang Y., Vidensky S., Jin L., Jie C., Lorenzini I., Frankl M, & Rothstein J.D. (2011). Molecular Comparison of GLT1+ and ALDH1L1+ Astrocytes In Vivo In Astroglial Reporter Mice. Glia, 59(2), 200-207.

Publication 2010

Animals Animals, Laboratory Environment, Controlled Food Glial Fibrillary Acidic Protein Institutional Animal Care and Use Committees Light Mice, Laboratory Mice, Transgenic Needles Regan isoenzyme Striatum, Corpus

Most recents protocols related to «Environment, Controlled»

Microbial Seed Treatments for Enhanced Crop Performance

Not available on PMC !

Example 2

A. Seed Treatment with Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

B. Seed Treatment with Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

A. Seed Treatment with Isolated Microbe

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.

B. Seed Treatment with Microbial Consortia

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the with the agricultural composition will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

A. Seed Treatment with Isolated Microbe

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.

B. Seed Treatment with Microbial Consortia

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

The inoculants were prepared from isolates grown as spread plates on R2A incubated at 25° C. for 48 to 72 hours. Colonies were harvested by blending with sterile distilled water (SDW) which was then transferred into sterile containers. Serial dilutions of the harvested cells were plated and incubated at 25° C. for 24 hours to estimate the number of colony forming units (CFU) in each suspension. Dilutions were prepared using individual isolates or blends of isolates (consortia) to deliver 1×10⁵cfu/microbe/seed and seeds inoculated by either imbibition in the liquid suspension or by overtreatment with 5% vegetable gum and oil.

Seeds corresponding to the plants of table 15 were planted within 24 to 48 hours of treatment in agricultural soil, potting media or inert growing media. Plants were grown in small pots (28 mL to 200 mL) in either a controlled environment or in a greenhouse. Chamber photoperiod was set to 16 hours for all experiments on all species. Air temperature was typically maintained between 22-24° C.

Unless otherwise stated, all plants were watered with tap water 2 to 3 times weekly. Growth conditions were varied according to the trait of interest and included manipulation of applied fertilizer, watering regime and salt stress as follows:

- Low N—seeds planted in soil potting media or inert growing media with no applied N fertilizer
- Moderate N—seeds planted in soil or growing media supplemented with commercial N fertilizer to equivalent of 135 kg/ha applied N
- Insol P—seeds planted in potting media or inert growth substrate and watered with quarter strength Pikovskaya's liquid medium containing tri-calcium phosphate as the only form phosphate fertilizer.
- Cold Stress—seeds planted in soil, potting media or inert growing media and incubated at 10° C. for one week before being transferred to the plant growth room.
- Salt stress—seeds planted in soil, potting media or inert growing media and watered with a solution containing between 100 to 200 mg/L NaCl.

Untreated (no applied microbe) controls were prepared for each experiment. Plants were randomized on trays throughout the growth environment. Between 10 and 30 replicate plants were prepared for each treatment in each experiment. Phenotypes were measured during early vegetative growth, typically before the V3 developmental stage and between 3 and 6 weeks after sowing. Foliage was cut and weighed. Roots were washed, blotted dry and weighed. Results indicate performance of treatments against the untreated control.

TABLE 15

StrainShootRoot

Microbe sp.IDCropAssayIOC (%)IOC (%)

Bosea thiooxidans123EfficacyEfficacy

overall100%100%

Bosea thiooxidans54522WheatEarly vigor - insol P30-40 —

Bosea thiooxidans54522RyegrassEarly vigor50-60 50-60

Bosea thiooxidans54522RyegrassEarly vigor - moderate P0-100-10

Duganella violaceinigra111EfficacyEfficacy

overall100%100%

Duganella violaceinigra66361TomatoEarly vigor0-100-10

Duganella violaceinigra66361TomatoEarly vigor30-40 40-50

Duganella violaceinigra66361TomatoEarly vigor20-30 20-30

Herbaspirillum huttiense222Efficacy—

overall100%

Herbaspirillum huttiense54487WheatEarly vigor - insol P30-40 —

Herbaspirillum huttiense60507MaizeEarly vigor - salt stress0-100-10

Janthinobacterium sp.222Efficacy—

Overall100%

Janthinobacterium sp.54456WheatEarly vigor - insol P30-40 —

Janthinobacterium sp.54456WheatEarly vigor - insol P0-10—

Janthinobacterium sp.63491RyegrassEarly vigor - drought0-100-10

stress

Massilia niastensis112EfficacyEfficacy

overall80%80%

Massilia niastensis55184WheatEarly vigor - salt stress0-1020-30

Massilia niastensis55184WinterEarly vigor - cold stress0-1010-20

wheat

Massilia niastensis55184WinterEarly vigor - cold stress20-30 20-30

wheat

Massilia niastensis55184WinterEarly vigor - cold stress10-20 10-20

wheat

Massilia niastensis55184WinterEarly vigor - cold stress<0<0

wheat

Novosphingobium rosa211EfficacyEfficacy

overall100%100%

Novosphingobium rosa65589MaizeEarly vigor - cold stress0-100-10

Novosphingobium rosa65619MaizeEarly vigor - cold stress0-100-10

Paenibacillus amylolyticus111EfficacyEfficacy

overall100%100%

Paenibacillus amylolyticus66316TomatoEarly vigor0-100-10

Paenibacillus amylolyticus66316TomatoEarly vigor10-20 10-20

Paenibacillus amylolyticus66316TomatoEarly vigor0-100-10

Pantoea agglomerans323EfficacyEfficacy

33%50%

Pantoea agglomerans54499WheatEarly vigor - insol P40-50 —

Pantoea agglomerans57547MaizeEarly vigor - low N<00-10

Pantoea vagans55529MaizeEarly vigor<0<0

(formerly P. agglomerans)

Polaromonas ginsengisoli111EfficacyEfficacy

66%100%

Polaromonas ginsengisoli66373TomatoEarly vigor0-100-10

Polaromonas ginsengisoli66373TomatoEarly vigor20-30 30-40

Polaromonas ginsengisoli66373TomatoEarly vigor<010-20

Pseudomonas fluorescens122Efficacy—

100%

Pseudomonas fluorescens54480WheatEarly vigor - insol P>100 —

Pseudomonas fluorescens56530MaizeEarly vigor - moderate N0-10—

Rahnella aquatilis334EfficacyEfficacy

80%63%

Rahnella aquatilis56532MaizeEarly vigor - moderate N10-20 —

Rahnella aquatilis56532MaizeEarly vigor - moderate N0-100-10

Rahnella aquatilis56532WheatEarly vigor - cold stress0-1010-20

Rahnella aquatilis56532WheatEarly vigor - cold stress<00-10

Rahnella aquatilis56532WheatEarly vigor - cold stress10-20 <0

Rahnella aquatilis57157RyegrassEarly vigor<0—

Rahnella aquatilis57157MaizeEarly vigor - low N0-100-10

Rahnella aquatilis57157MaizeEarly vigor - low N0-10<0

Rahnella aquatilis58013MaizeEarly vigor0-1010-20

Rahnella aquatilis58013MaizeEarly vigor - low N0-10<0

Rhodococcus erythropolis313Efficacy—

66%

Rhodococcus erythropolis54093MaizeEarly vigor - low N40-50 —

Rhodococcus erythropolis54299MaizeEarly vigor - insol P>100 —

Rhodococcus erythropolis54299MaizeEarly vigor<0<0

Stenotrophomonas chelatiphaga611EfficacyEfficacy

60%60%

Stenotrophomonas chelatiphaga54952MaizeEarly vigor0-100-10

Stenotrophomonas chelatiphaga47207MaizeEarly vigor<0 0

Stenotrophomonas chelatiphaga64212MaizeEarly vigor0-1010-20

Stenotrophomonas chelatiphaga64208MaizeEarly vigor0-100-10

Stenotrophomonas chelatiphaga58264MaizeEarly vigor<0<0

Stenotrophomonas maltophilia612EfficacyEfficacy

43%66%

Stenotrophomonas maltophilia54073MaizeEarly vigor - low N50-60 —

Stenotrophomonas maltophilia54073MaizeEarly vigor<00-10

Stenotrophomonas maltophilia56181MaizeEarly vigor0-10<0

Stenotrophomonas maltophilia54999MaizeEarly vigor0-100-10

Stenotrophomonas maltophilia54850MaizeEarly vigor 00-10

Stenotrophomonas maltophilia54841MaizeEarly vigor<00-10

Stenotrophomonas maltophilia46856MaizeEarly vigor<0<0

Stenotrophomonas rhizophila811EfficacyEfficacy

12.5%37.5%

Stenotrophomonas rhizophila50839MaizeEarly vigor<0<0

Stenotrophomonas rhizophila48183MaizeEarly vigor<0<0

Stenotrophomonas rhizophila45125MaizeEarly vigor<0<0

Stenotrophomonas rhizophila46120MaizeEarly vigor<00-10

Stenotrophomonas rhizophila46012MaizeEarly vigor<0<0

Stenotrophomonas rhizophila51718MaizeEarly vigor0-100-10

Stenotrophomonas rhizophila66478MaizeEarly vigor<0<0

Stenotrophomonas rhizophila65303MaizeEarly vigor<00-10

Stenotrophomonas terrae221EfficacyEfficacy

50%50%

Stenotrophomonas terrae68741MaizeEarly vigor<0<0

Stenotrophomonas terrae68599MaizeEarly vigor<00-10

Stenotrophomonas terrae68599Capsicum *Early vigor20-30 20-30

Stenotrophomonas terrae68741Capsicum *Early vigor10-20 20-30

The data presented in table 15 describes the efficacy with which a microbial species or strain can change a phenotype of interest relative to a control run in the same experiment. Phenotypes measured were shoot fresh weight and root fresh weight for plants growing either in the absence of presence of a stress (assay). For each microbe species, an overall efficacy score indicates the percentage of times a strain of that species increased a both shoot and root fresh weight in independent evaluations. For each species, the specifics of each independent assay is given, providing a strain ID (strain) and the crop species the assay was performed on (crop). For each independent assay the percentage increase in shoot and root fresh weight over the controls is given.

US11871752B2. Agriculturally beneficial microbes, microbial compositions, and consortia (2024-01-16). BIOCONSORTIA, INC. [US]. Inventors: Peter Wigley [NZ], Susan Turner [US], Caroline George [NZ], Thomas Williams [US], Kelly Roberts [US], Graham Hymus [US], Kelvin Lau [NZ].

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Patent 2024

Ammonia Asparagine Aspartic Acid Biological Assay Bosea thiooxidans Calcium Phosphates Capsicum Cells Chlorophyll Cold Shock Stress Cold Temperature Crop, Avian Dietary Fiber DNA Replication Droughts Drought Tolerance Embryophyta Environment, Controlled Farmers Fertilization Glutamic Acid Glutamine Glycine Growth Disorders Herbaspirillum Herbaspirillum huttiense Leucine Lolium Lycopersicon esculentum Lysine Maize Massilia niastensis Methionine Microbial Consortia Nitrates Nitrites Nitrogen Novosphingobium rosa Paenibacillus Paenibacillus amylolyticus Pantoea agglomerans Pantoea vagans Phenotype Phosphates Photosynthesis Plant Development Plant Embryos Plant Leaves Plant Proteins Plant Roots Plants Polaromonas ginsengisoli Pseudoduganella violaceinigra Pseudomonas Pseudomonas fluorescens Rahnella Rahnella aquatilis Retention (Psychology) Rhodococcus erythropolis Rosa Salt Stress Sodium Chloride Sodium Chloride, Dietary Stenotrophomonas chelatiphaga Stenotrophomonas maltophilia Stenotrophomonas rhizophila Stenotrophomonas terrae Sterility, Reproductive Strains Technique, Dilution Threonine Triticum aestivum Tryptophan Tyrosine Vegetables Zea mays

BALB/c Mouse Model of Liver Fibrosis

Normal male BALB/c mice, aged 6 weeks and initially weighing 18 − 20 g, were purchased from the Laboratory Animal Center (Guangxi Medical University, Nanning, China). All animals received humane care. All experimental procedures on mice were approved by the ethics committee of The First Affiliated Hospital of Guangxi Medical University. The animals were housed in a controlled environment (12 h light/dark cycle; temperature: 22 − 24 °C) and received water ad libitum in the Animal Care Facility Service (Guangxi Medical University). The mice were divided into three groups, with six mice in each group: (1) the mice in group 1 were control animals and received a vehicle (olive oil); (2) the mice in group 2 were injected intraperitoneally with CCl4 (Sigma-Aldrich, St. Louis, MO, USA) (0.1 mL of a solution containing 20 g of CCl4 dissolved in olive oil at a 1:10 ratio) three times per week for 4 or 6 weeks to induce liver fibrosis; and (3) the mice in group 3 were injected intraperitoneally with CCl4 (0.1 mL of a solution containing 20 g of CCl4 dissolved in olive oil at a 1:10 ratio) three times per week for 4 or 6 weeks to induce liver fibrosis. All mice were killed under light ether anesthesia 72 h after the final dose of CCl4 or olive oil. The liver was immediately removed. All samples were kept on ice until analysis. First, the liver was cut into fragments. Then, liver samples were either stored in formaldehyde or snap-frozen in liquid nitrogen and stored at − 80 °C.

Liao X., Ruan X., Wu X., Deng Z., Qin S, & Jiang H. (2023). Identification of Timm13 protein translocase of the mitochondrial inner membrane as a potential mediator of liver fibrosis based on bioinformatics and experimental verification. Journal of Translational Medicine, 21, 188.

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Publication 2023

Anesthesia Animals Animals, Laboratory CCL4 protein, human Environment, Controlled Ethics Committees, Clinical Ethyl Ether Fibrosis, Liver Formaldehyde Freezing Light Liver Males Mice, House Mice, Inbred BALB C Nitrogen Oil, Olive Service Animals

Structural and Magnetic Characterization of Nanocomposites

Crystal structures and phases in each sample were corroborated by X-ray diffraction (XRD-China; Asenware with AW-XDM300). The morphology of the nanoparticles was studied by scanning electron microscopy FESEM model TESCAN–MIRA 3 equipped with an energy-dispersive X-ray spectroscopy (EDX). The Fourier transform infrared spectra were performed using a FTIR-Jasco, model 680 Plus, at ambient temperature and in the range of 400–4000 cm⁻¹. The magnetization hysteresis loops were analyzed by a vibration sample magnetometer (VSM- Meghnatis daghigh kavir Co. Iran) at 300 K. Thermogravimetric analysis (TGA) is the measuring the mass variation of a sample as a function of temperature. The changes in the mass of activated carbon and Fe₃O₄/C nanocomposite as a function of temperature in a defined and controlled environment from 25 to 1000 °C were measured by TGA/DTG curves in N₂ atmosphere at a heating rate of 10 °C min⁻¹. The measurements were carried out using a NETZSCH STA 409 PC/PG, Germany. The pore characteristic of the samples was studied by Brunauer–Emmett–Teller (BET) method via nitrogen adsorption–desorption measurements. An atomic absorption spectrophotometer (AAS- Analytik Jena factory, model novaAA 400) was used to determine the concentration of chromium in the solution.

Bagherzadeh M., Aslibeiki B, & Arsalani N. (2023). Preparation of Fe3O4/vine shoots derived activated carbon nanocomposite for improved removal of Cr(VI) from aqueous solutions. Scientific Reports, 13, 3960.

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Publication 2023

Adsorption Atmosphere Charcoal, Activated Chromium Environment, Controlled Nitrogen Oxide, Ferrosoferric Scanning Electron Microscopy Spectroscopy, Fourier Transform Infrared Vibration X-Ray Diffraction

Identification of Powdery Mildew Races in Melon

A total of four types of melon lines “PM-resistant lines (MR-1 and PI124112) and PM-susceptible lines (X055 and Topmark)” were selected for experiment materials (Figure 1), and identification of physiological races of PM was done using thirteen general international host identification Cucurbitaceae (Iran H, Topmark, Védrantais, PMR 45, PMR 5, WMR 29, Edisto 47, PI 414723, MR-1, PI 124111, PI124112, PMR 6, and Nantais Oblong). The above materials were provided by the Laboratory of Molecular Genetics and Breeding in Melon, Northeast Agricultural University, Harbin, Heilongjiang, China. All the test materials were grown in nutrient bowls (9.3 cm in diameter, 9 cm deep) in a controlled environment of greenhouse and kept sterile for several weeks before infection treatment. When the plants reached the three-leaf stage, PM fungal spore suspension spray was used for artificial inoculation, and the concentration of inoculated spores was 1×10⁶/mL. Three separate biological replicates were used at each time interval throughout the experiment. Plant leaf tissues were collected at 0, 24, 48, and 72 h after inoculation, snap-frozen in liquid nitrogen, and stored at −80°C prior to the further experiments.

Zhang T., Xu N., Amanullah S, & Gao P. (2023). Genome-wide identification, evolution, and expression analysis of MLO gene family in melon (Cucumis melo L.). Frontiers in Plant Science, 14, 1144317.

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Publication 2023

Biopharmaceuticals Cucurbitaceae Environment, Controlled Freezing Infection Melons Nitrogen Nutrients physiology Plant Leaves Plants Spores Spores, Fungal Sterility, Reproductive Tissues Vaccination

Comparative Acomys and Mus Study

A total of 20 Acomyscahirinus and 20 Musmusculus (20–30 g) of either sex, bred and maintained in the institutional animal house were used for the experiment. Mice were housed in well-ventilated cages, under naturally controlled environment of temperature, humidity, and standard day/night light cycles. The animals were allowed standard food pellets and water ad libitum. All mice experiments were carried out following the national guidelines for the care and use of animals. The study was approved by the institutional animal care and use committee (IACUC) at Cairo University with approval number (CU/I/F/86/20). Additionally, all animal studies were performed in accordance with ARRIVE guidelines.

Ghebryal L.N., Noshy M.M., El-Ghor A.A, & Eissa S.M. (2023). Comparative analysis of Acomys cahirinus and Mus musculus responses to genotoxicity, oxidative stress, and inflammation. Scientific Reports, 13, 3989.

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Publication 2023

Animals Environment, Controlled Food Humidity Institutional Animal Care and Use Committees Mice, House Pellets, Drug

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What is a Controlled Environment?

A Controlled Environment refers to an artificial setting where environmental conditions like temperature, humidity, lighting, and air quality are precisely manipulated and regulated. This type of environment is designed to minimize the influence of uncontrolled variables, allowing for more accurate and reproducible research results. Controlled environments are commonly used in fields like agriculture, biotechnology, pharmaceutical development, and climate research.

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More about "Environment, Controlled"

Controlled environment refers to the purposeful manipulation and regulation of environmental factors, such as temperature, humidity, lighting, and air quality, to create a specific, monitored setting for research, experimentation, or other scientific and industrial applications.
This type of environment is designed to minimize the influence of uncontrolled variables, enabling more accurate and reproducible results.
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