US20180238862A1 - Methods and systems for measuring growth rate in plant or aquatic animal species - Google Patents

Methods and systems for measuring growth rate in plant or aquatic animal species Download PDF

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US20180238862A1
US20180238862A1 US15/754,126 US201615754126A US2018238862A1 US 20180238862 A1 US20180238862 A1 US 20180238862A1 US 201615754126 A US201615754126 A US 201615754126A US 2018238862 A1 US2018238862 A1 US 2018238862A1
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metabolic rate
measuring
time
fish
fluorescence
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Benjamin J. Renquist
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Arizona Board of Regents of University of Arizona
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/52—Use of compounds or compositions for colorimetric, spectrophotometric or fluorometric investigation, e.g. use of reagent paper and including single- and multilayer analytical elements
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K67/00—Rearing or breeding animals, not otherwise provided for; New or modified breeds of animals
    • A01K67/02—Breeding vertebrates
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/008—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions for determining co-enzymes or co-factors, e.g. NAD, ATP
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18—Water
    • G01N33/1806—Biological oxygen demand [BOD] or chemical oxygen demand [COD]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
    • G01N33/5082—Supracellular entities, e.g. tissue, organisms
    • G01N33/5088—Supracellular entities, e.g. tissue, organisms of vertebrates
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5097—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving plant cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
    • G01N2333/43504—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from invertebrates
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/435—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
    • G01N2333/46—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from vertebrates
    • G01N2333/4603—Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from vertebrates from fish
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
    • Y02A40/81—Aquaculture, e.g. of fish

Definitions

  • the present invention relates to methods for measuring metabolic rate in cells, more particularly to methods for measuring NADH 2 concentrations and production in cells, more particularly to measuring NAHD 2 concentrations and production in cells of plants and/or aquatic animals for predicting growth potential of said plants and animals.
  • the present invention features methods and systems (e.g., a colorimetric/fluorescent methods and systems) for measuring metabolic rate in plants or aquatic animal species (e.g., embryonic fish, zebrafish, tilapia, trout, etc.).
  • the present invention features measuring over a period of time (e.g., 1 to 72 hours) the production of NADH 2 , which is a product of metabolism and thus a direct indicator of the flux of metabolites through metabolite oxidation.
  • the methods and systems of the present invention may monitor NADH 2 using a redox indicator (e.g., resazurin/resorufin or other appropriate indicator (e.g., NADH 2 indicator) such as but not limited to tetrazolium dyes, e.g., MTT, XTT, MTS, WST).
  • a redox indicator e.g., resazurin/resorufin or other appropriate indicator (e.g., NADH 2 indicator) such as but not limited to tetrazolium dyes, e.g., MTT, XTT, MTS, WST).
  • a redox indicator e.g., resazurin/resorufin or other appropriate indicator (e.g., NADH 2 indicator) such as but not limited to tetrazolium dyes, e.g., MTT, XTT, MTS, WST).
  • the redox indicator is reduced by NADH 2
  • the methods and systems of the present invention may be used to assess the genetic potential for growth of the plant or animal.
  • the methods and systems may be used to predict the growth potential of a plant or animal. Measuring the metabolic rate of said plant or animal may be helpful for identifying and selecting individuals within a group that have greater predicted growth potential, e.g., individuals that are most likely to grow faster and/or larger.
  • fish with a high metabolic rate as embryos may weigh more than 30% more at eight months as compared to fish that have low metabolic rates as embryos.
  • the methods and systems of the present invention may also be used to segregate fast and slow growing fish. These applications may be beneficial for the aquaculture industry, e.g., hatcheries, fish farms or the like.
  • the methods and systems of the present invention which may allow for selection of genetically superior brood stock, may have a positive impact on profitability given that selecting for genetic potential for growth currently has been limited by (a) interactions between aggression and growth, (b) inability to select in wild-caught brood stock, and (c) the long generation interval in slow maturing species.
  • the methods and systems of the present invention may help eliminate the need for special equipment (e.g., for measuring oxygen consumption), decrease variability of measures, and minimize the effects of external factors (feeding/hormonal status).
  • the present invention is not limited to use in aquatic animal species (e.g., embryonic fish, zebrafish, tilapia, trout, etc., with the ability to work with tissue explants and/or primary cells).
  • aquatic animal species e.g., embryonic fish, zebrafish, tilapia, trout, etc., with the ability to work with tissue explants and/or primary cells.
  • the present invention may also be used in plants.
  • the present invention may be used to test soil, water, and/or fertilizers.
  • the plants with the best genetics for growth may be selected.
  • water quality or soil quality is assessed.
  • the ability of different fertilizers to enhance growth is assessed.
  • the present invention features a method of brood stock separation from a pool of individuals (fish, other aquatic organisms, cells or plants).
  • the method comprises measuring whole body metabolic rate in embryonic or juvenile organisms, wherein metabolic rate is measured using a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 after time T 0 ; and determining the change in fluorescence between T 1 and T 0 to determine a metabolic rate.
  • the method comprises measuring metabolic rate a tissue sample, wherein metabolic rate is measured using a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 after time T 0 ; and determining the change in fluorescence between T 1 and T 0 to determine a metabolic rate.
  • the method comprises separating the fish or plants based on metabolic rate.
  • the present invention also features a method of brood stock separation from a pool of individuals.
  • the method comprises measuring whole body metabolic rate in a cell sample from each individual, wherein metabolic rate is measured using a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 ; measuring a fluorescence value at time T 0 ; measuring a fluorescence value at time T 1 after time T 0 ; and determining the change in fluorescence between T 1 and T 0 to determine a metabolic rate; and separating the individuals in the group that had a metabolic rate in the 10% highest metabolic rates of the group from the remaining individuals in the group.
  • the pool of individuals comprises embryonic or juvenile aquatic organisms, cells, or plants.
  • the aquatic organisms are fish embryos.
  • the aquatic organisms are adult fish.
  • the individuals in the group that had a metabolic rate in the 5% highest metabolic rates of the group are separated from the remaining individuals in the group.
  • the present invention also features a method of stock separation of a pool of fish or a group of plants, wherein a tissue sample is obtained from each fish of the pool or each plant in the group.
  • the method comprises measuring metabolic rate in each tissue sample, wherein metabolic rate is measured using a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 after time T 0 ; and determining the change in fluorescence between T 1 and T 0 to determine a metabolic rate; and separating the fish or plants that had a metabolic rate that is in the 10% highest metabolic rates of the pool of fish or group of plants from the remaining fish or plants.
  • the fish are fish embryos. In some embodiments, the fish are adult fish. In some embodiments, the sample comprises a tissue explant. In some embodiments, the fish that are in the 5% highest metabolic rates are separated from the remaining fish. In some embodiments, the redox indicator comprises AlamarBlue®, resazurin, a tetrazolium dye, or PrestoBlue®. In some embodiments, T 1 is equal to T 0 plus 8 hours. In some embodiments, T 1 is equal to T 0 plus 16 hours. In some embodiments, T 1 is equal to T 0 plus 24 hours. In some embodiments, measuring a fluorescence value comprises using a fluorescent plate reader. In some embodiments, measuring a fluorescence value comprises obtaining a digital photograph of the cell sample and quantitating red, green, and blue color intensity, wherein the intensities are correlated with fluorescence to determine a quantitative measurement of metabolic rate.
  • the present invention also features a method for predicting growth of individual organisms within a group.
  • the method comprises measuring metabolic rate in a cell sample of the organism by performing a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 ; determining a metabolic rate by calculating the change in fluorescence between T 1 and T 0 ; and comparing the metabolic rates of each of the organisms within the group; wherein a first organism with a higher metabolic rate than a second organism will be bigger, heavier, or both bigger and heavier at a time beyond a time associated with material effect.
  • the organism is a plant or aquatic animal. In some embodiments, the aquatic animal is a fish. In some embodiments, the organism is an embryonic aquatic organism. In some embodiments, the organism is an adult aquatic organism.
  • the redox indicator comprises AlamarBlue®, resazurin, a tetrazolium dye, or PrestoBlue®.
  • T 1 is equal to T 0 plus any given duration of time. In some embodiments, T 1 is equal to T 0 plus 16 hours. In some embodiments, T 1 is equal to T 0 plus 24 hours. In some embodiments, measuring a fluorescence or absorbance value is assessed using a spectrophotometer with or without fluorescent capabilities.
  • measuring a fluorescence value comprises obtaining a digital photograph of the cell sample and quantitating red, green, and blue color intensity, wherein the intensities are correlated with fluorescence to determine a quantitative measurement of metabolic rate.
  • the time beyond the time associated with maternal effect is harvest time. In some embodiments, the time beyond the time associated with maternal effect is 3 months. In some embodiments, the time beyond the time associated with maternal effect is 8 months.
  • the present invention also features a method for assessing genetic potential for growth of individual organisms within a group.
  • the method comprises measuring metabolic rate in a cell sample of each of the organism by performing a colorimetric/fluorescent redox assay comprising introducing a redox indicator to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 ; determining a metabolic rate by calculating the change in fluorescence between T 1 and T 0 ; and comparing the metabolic rates of each of the organisms within the group; wherein a first organism with a higher metabolic rate than a second organism has a higher potential for growth than does the second organism.
  • the redox indicator comprises AlamarBlue®, resazurin, a tetrazolium dye, or PrestoBlue®.
  • T 1 is equal to T 0 plus 8 hours. In some embodiments, T 1 is equal to T 0 plus 16 hours. In some embodiments, T 1 is equal to T 0 plus 24 hours.
  • measuring a fluorescence value comprises using a fluorescent plate reader. In some embodiments, measuring a fluorescence value comprises obtaining a digital photograph of the cell sample and quantitating red, green, and blue color intensity, wherein the intensities are correlated with fluorescence to determine a quantitative measurement of metabolic rate.
  • FIG. 1 shows growth rates of embryos segregated into high and low metabolic rate quartiles. *P ⁇ 0.05.
  • FIG. 2 shows body length vs. metabolic rate. Body length is similar in high and low metabolic rate embryonic fish on the day the assay is performed.
  • FIG. 3A-3D show that changes in fluorescence is highly correlated with caudal fin ( FIG. 3A ) and skeletal muscle ( FIG. 3B ) explant mass. Changes in fluorescence increase with duration of incubation with caudal fin ( FIG. 3C ) and skeletal muscle ( FIG. 3D ) explants.
  • FIG. 4A-4B relate to isolated cells from skeletal muscle and fin cell explants.
  • FIG. 4A Skeletal muscle satellite cells differentiate into proliferating myoblasts.
  • FIG. 4B Using caudal fin derived cells, the percent confluence was varied to create a range of total metabolic rates within a well. Fluorescent change from baseline, increased with # of fin cells in a well (P ⁇ 0.0001).
  • FIG. 5 shows an analysis of RGB spectrum from wells (G3-G10) in an experiment using AlamarBlue® reduction methods (pink, purple and blue wells were indicative of embryos with high, moderate, and low metabolic rates, respectively.) Care was taken to ensure measurement was taken neither in a shadow nor ray of light. This preliminary analysis suggests that digital photograph analysis of red spectrum intensity can be used to quantitatively sort wells based on color change. Colors of dots for each well represent the exact RGB spectrum from the analysis.
  • FIG. 6 shows a histogram displaying the frequency distribution of metabolic rates measured by change in fluorescence. Note the long right tail composed of fish that have a high selective differential from the mean.
  • FIG. 7 shows comparisons between high and low metabolic rate fish made at identical weights. Slope within metabolic rate group will determine the relationship between current body weight and explant metabolic rate. Body weight data is from fish that are already selected; thus, selection of fish with similar masses in each group may be feasible.
  • FIG. 8A-8C show the growth advantage in tilapia that had a high metabolic rate (top quartile) as embryos relative to those embryos that have a low metabolic rate (bottom quartile).
  • the percent increase in growth attributable to the high metabolic rate is show at each time point for each group ( FIG. 8A is group 1, FIG. 8B is group 2, and FIG. 8C is group 3). At all time points significant differences existed.
  • FIG. 9A-9C show AlamarBlue reduction results in lettuce seeds. Lettuce seeds were sprouted in either fertilized or distilled water then transferred to either fertilized or distilled water 3 days later for analysis of AlamarBlue reduction. Plants placed into fertilized water showed increased AlmarBlue reduction at both 3 hours ( FIG. 9A ) and 24 hours ( FIG. 9B ) relative to plants that were placed into distilled water. Of note those plants that were sprouted in distilled water did generate significantly less signal in fertilized water during the first 3 hours of incubation than lettuce sprouts that were always in fertilized water. Also shown in FIG. 9C is signal increase with duration of exposure of the lettuce sprout to AlamarBlue, which is an indication of the cumulative nature of this assay. This figure suggests that this assay can be used to test the nutrient quality of water or soil.
  • FIG. 10A-10B show representative results from Oyster Spat.
  • FIG. 10A shows that oyster spat derived from different families induced nearly 3 fold differences in AlamarBlue reduction. This suggests that significant variation in NADH 2 production exists between families.
  • FIG. 10B shows that if oyster spat within a cross are size separated those spat that grow more slowly (runts; R) induce less signal that oysters that grow more quickly.
  • FIG. 11A-11D show that in both sized ( FIG. 11A , FIG. 11B ) and runt oysters ( FIG. 11C , FIG. 11D ) the signal generated increases with time and with the number of oysters within a well. Larger oysters (sized) generate signal more quickly and with fewer oysters than do runt oysters.
  • FIG. 13A-13D show changes in fluorescence with various numbers of tilapia ( FIG. 13A ), trout ( FIG. 13B ), oysters ( FIG. 13C ), and shrimp ( FIG. 13D ) in a set volume.
  • FIG. 13A-13D show that metabolic rate within a well (given volume) increases as the number of individuals within that well (volume) increases.
  • FIG. 14 shows that tilapia broodstock selection based on metabolic rate, as measured by the AlamarBlue based assay, results in offspring with higher feed efficiency than offspring from Tilapia broodstock selection based on growth.
  • FIG. 15 shows the variability in metabolic rate within a family. This proposes that broodstock selection based on family selection will not improve genetics for growth nearly as rapidly as selection based on the individual metabolic rate.
  • FIG. 16 shows that slow growing inbred oyster lines (adam ⁇ adam) and (eve ⁇ eve) have higher metabolic rates than their outcrossed faster growing half-siblings (adam ⁇ eve).
  • the present invention features methods and for measuring growth rate in plant or aquatic animal species.
  • the methods and systems of the present invention may be used to predict growth potential of a plant or animal, and measuring the growth rate of said plant or animal may be helpful for identifying and selecting individuals within a group that have greater growth potential, e.g., individuals that are most likely to grow faster and/or larger.
  • the methods for measuring growth rate comprise measuring (over a period of time) the production of NADH 2 using a redox indicator (e.g., resazurin/resorufin or other appropriate indicator).
  • a redox indicator e.g., resazurin/resorufin or other appropriate indicator.
  • the redox indicator is reduced by NADH 2 , resulting in a colorimetric and fluorescent shift in solution (e.g., using AlamarBlue® reduction, pink, purple and blue wells may be indicative of embryos with high, moderate, and low metabolic rates, respectively).
  • the redox indicator remains reduced, and therefore can be used to provide a cumulative measurement of energy expenditure over a time period.
  • Redox indicators may include but are not limited to resazurin, a tetrazolium dye (e.g., MTT, XTT, MTS, WST), PrestoBlue®, or any other appropriate NADH 2 production indicator.
  • FIG. 1 shows that embryonic fish metabolic rate may be used to predict future growth. Further, if fish (e.g., tilapia) are segregated by metabolic rate, fish with a metabolic rate in the highest quartile grow faster than fish with a metabolic rate in the lowest quartile. FIG. 1 also suggests that high metabolic rate fish maintain a growth advantage for at least 8 months. In some embodiments, the present invention can be used to predict growth at 3 months, 4 months, 5 months, 6 months, 7 months, 8 months, 9 months, etc. In some embodiments, the present invention can be used to predict growth of the animal, e.g., fish, at harvest size/time. In some embodiments, the present invention can be used to predict growth of the animal, e.g., fish, at a time after the maternal effect time period has passed.
  • fish e.g., tilapia
  • An example of a method for measuring metabolic rate is as follows: Embryonic tilapia are rinsed 3 times in sterile 28° C. fish water. Using a disposable plastic pipette, embryonic fish are individually transferred into wells of a 96-well plate. Once plated, 96-well plates containing fish are put into an incubator to maintain a water temperature of 28° C. Upon completion of plating, all water is removed from the well and is replaced with 300 ⁇ l sterile filtered assay medium (Fish system water including, 4 mM NaHCO3, 0.1% DMSO, and 0.16% AlamarBlue (Cat. # Y00010; Thermo Fisher Scientific Inc.; Waltham, Mass.)).
  • Fluorescence is determined using a fluorescent plate reader (excitation wavelength 530 and emission wavelength 590) at the beginning of the assay to establish a baseline for each embryo and at the end of the assay (e.g., at 16 h). A large change in fluorescence is indicative of robust NADH 2 production and a high metabolic rate, while a small change in fluorescence is indicative of a low metabolic rate.
  • the methods and systems of the present invention are not limited to the aforementioned example. Note that it may be possible for a single investigator to perform the metabolic rate assay on approximately 2,500 embryonic fish/8 hr day.
  • FIG. 3A and FIG. 3B shows that within samples collected from the same fish, the change in fluorescence is directly related to the size of the fin or skeletal muscle explant. Moreover, like previously observed in embryonic fish, explants increase the signal generated with time (see FIG. 3C , FIG. 3D ).
  • FIG. 4A shows the satellite cells from skeletal muscle can differentiate into proliferating myoblasts.
  • FIG. 4B shows that AlamarBlue can measure changes in fish fin cell density within a well.
  • the present invention features methods for predicting growth in an organism (e.g., a plant, aquatic animal, e.g., fish, embryonic fish, adult fish, etc.).
  • the method comprising measuring the metabolic rate in a cell sample of the organism. This may be done by performing a colorimetric/fluorescent redox assay comprising introducing a redox indicator (e.g., resazurin) to the cell sample at time T 0 , measuring a fluorescence value at time T 0 , and measuring a fluorescence value at time T 1 .
  • the change in fluorescence between T 1 and T 0 can be calculated to determine the metabolic rate.
  • a high metabolic rate is indicative of a high growth rate
  • a low metabolic rate is indicative of a low growth rate.
  • the redox assay may be performed over a period of time such as 2 hours, 4 hours, 6 hours, 8 hours, 10 hours, 12 hours, 14 hours, 16 hours, 20 hours, 24 hours, etc.
  • T 1 is equal to T 0 plus 8 hours, T 0 plus 16 hours, T 0 plus 24 hours, etc.
  • the present invention is not limited to these times.
  • Fluorescence may be determined in a variety of ways. For example, in some embodiments, fluorescence is calculated using a fluorescent plate reader. In some embodiments, absorbance/fluorescence is calculated using a digital photograph of the cell sample. In some embodiments, the red, green, and blue color intensity is quantitated. The intensities may be correlated with fluorescence to determine a quantitative measurement of metabolic rate.
  • the present invention also features a method for brood stock selection.
  • a sample e.g., cell sample
  • the method comprises measuring the metabolic rate in each tissue sample and comparing the metabolic rates of each fish in the pool.
  • Particular fish may be selected based on their metabolic rate. For example, in some embodiments, fish that have a metabolic rate that is in the top 50%, top 40%, top 30%, top 20%, top 10%, etc. may be selected.
  • the present invention also features selection based on metabolic rate through computer aided red-green-blue (RGB) analysis of digital photographs (see FIG. 5 .)
  • RGB computer aided red-green-blue
  • the methods of the present invention may allow for selection of genetically superior brood stock, which may have a positive impact on profitability of the aquaculturalist.
  • FIG. 5 shows that metabolic rate has a distribution with a right extending tail; thus, it may be possible to impose a large selection differential to maximize the response to selection based on metabolic rate.
  • the methods of the present invention may be used first to allow for selection. In late maturing species (e.g., sturgeon), by increasing growth it may be possible to shorten the duration to maturation.
  • FIG. 6 shows a histogram displaying the frequency distribution of metabolic rates measured by change in fluorescence. Note the long right tail composed of fish that have a high selective differential from the mean.
  • FIG. 7 shows comparisons between high and low metabolic rate fish made at identical weights. Slope within metabolic rate group will determine the relationship between current body weight and explant metabolic rate. Body weight data is from fish that are already selected; thus, selection of fish with similar masses in each group may be feasible.
  • FIG. 8A-8C show the growth advantage in tilapia that had a high metabolic rate (top quartile) as embryos relative to those embryos that have a low metabolic rate (bottom quartile). The percent increase in growth attributable to the high metabolic rate is show at each time point for each group. At all time points significant differences existed.
  • the present invention may also be used in plants.
  • the present invention may be used to test soil, water, and/or fertilizers.
  • the plants with the best genetics for growth may be selected.
  • water quality or soil quality is assessed.
  • the ability of different fertilizers to enhance growth is assessed.
  • Example 1 is an example of the use of the methods and systems of the present invention. The present invention is not limited to the examples set forth in Example 1.
  • Example 1 describes assessing metabolic rate in adult fish, e.g., assessing the metabolic rate of tissue explants/cells collected from adult fish that were segregated by metabolic rate as embryos. This may be used as a means of selecting for captive bred species.
  • the present invention may be used to assess the ability to ascertain genetic potential for growth of adult fish by measuring metabolic rate using minimally invasive, non-lethal techniques to collect fin and skeletal muscle samples.
  • the methods and systems of the present invention may be used to evaluate wild caught and slow maturing brood stock. For example, it is believed that adult cells/explants from fish that had a high metabolic rate as embryos will have a higher ex vivo metabolic rate than cells/explant from tilapia that had a low metabolic rate as embryos.
  • Tissue is plated in 300 ⁇ l assay media (L-15 media without phenol red supplemented with 25 mM HEPES, 5 mM NaHCO3, Penicillin-streptomycin (50 I.U./ml), 0.1% DMSO and 0.16% AlamarBlue). Fluorescence is measured at time 0 on a fluorescent plate reader set to excite at 530 nM and measure emission at 590 nM. Explants are incubated in a normal air incubator at 28° C. Fluorescence will again be measured at 1, 2, 3, 4, 6, 12, and 24 h to measure change across time.
  • tissue will be collected, weighed, and homogenized in lysis buffer (0.1 M phosphate buffered saline with 0.1% Triton X-100, PBST) for analysis of DNA using the Quant-iT PicoGreen dsDNA assay kit (Life Technologies, Inc.) to correct all samples for the number of cells. Fluorescence data will be corrected by either tissue weight or total DNA and expressed as change in fluorescence per mg tissue or ⁇ g DNA.
  • lysis buffer 0.1 M phosphate buffered saline with 0.1% Triton X-100, PBST
  • Quant-iT PicoGreen dsDNA assay kit Life Technologies, Inc.
  • Fin cell isolation will be performed as previously described. Upon reaching confluence in a 3.5 cm petri dish, cells will be plated to confluence in a 96-well plate and the AlamarBlue assay will be performed as described for explants and corrected for total DNA within the well.
  • Skeletal muscle samples will be collected by needle (14 G) biopsy in the anesthetized fish from which fin samples were collected. 2-5 mg skeletal muscle explants will be assayed in triplicate to assess metabolic rate by explant. Changes in fluorescence will be corrected for sample DNA.
  • Skeletal muscle stem cells (satellite cells) will be isolated from the remainder of the biopsy and grown to confluence. Upon reaching confluence satellite derived proliferating myoblasts will be plated into a 96-well plate and the AlamarBlue assay will be performed as described for fin cells. Alternatively, myoblasts may be stimulated to form nascent muscle fibers so that metabolic rate can be measured on the differentiated cell type.
  • FIG. 3 and FIG. 4B show that metabolic rate in explants and isolated cells can be accurately measured. It is believed that the metabolic rate from both skeletal muscle and fin samples can be accurately assessed. And, it is believed that the metabolic rate assessed from skeletal muscle samples will correlate with metabolic rate assessed from fin samples.
  • Data may be analyzed in SAS.
  • the effect of embryo metabolic rate (high or low), adult body weight, and their interaction on metabolic rate from explants or cell will be assessed for each tissue type using a mixed model two-way ANOVA in SAS (SAS Inc., Cary, N.C.). Correlation analysis will be used to assess relationships between metabolic rate assessed by tissue type and sample type (cells or explants; Proc Corr). Regression analyses will be performed to quantitate this effect as needed.
  • the present invention may also be used to assess selection of brood stock based on metabolic rate of tissue samples, e.g., metabolic rate of explants from adult fish may be indicative of offspring metabolic rate. Future work may focus on this application in wild-caught brood stock.
  • Brood stock rearing and selection 300 fish will be grown in a starter tank and moved as needed to maximally encourage growth and development. Feed will be provided 3 times daily to satiation. At 4 months of age, skeletal muscle or fin biopsies will be collected for metabolic rate determination as described and validated in Experiment 2. Fish will be tagged for identification and upon determination of metabolic rate, fish in the top and bottom 10% will be isolated and moved to other facilities.
  • the mouths of female fish will be checked every week for embryonic fish. Embryos will be collected and assayed for metabolic rate as previously described.
  • a female that provides a clutch will be immediately removed from the study. Studies will continue until at least 2 clutches have been collected and analyzed from each tank.
  • a one-way ANOVA will be used to assess the effect of explant/cell metabolic rate on embryo metabolic rate.
  • Example 2 is an example of the use of the methods and systems of the present invention. The present invention is not limited to the examples set forth in Example 2.
  • Example 2 describes procedures that allow for field application of the methods and systems of the present invention. For example, Example 2 describes assessing results of methods of the present invention using a controlled digital photograph, eliminating the requirement for a fluorescent spectrophotometer.
  • Plates are digitally captured using a 12 megapixel digital camera. In all pictures, a standard white background is used and a color reference chart is included to correct for potential differences in lighting. Using Adobe Photoshop eyedropper tool, the red, green, and blue color within each well will be quantitated (see FIG. 5 , preliminary data). The red, green, and blue color intensity, differences between intensity of different colors (e.g. Red-Green), and ratios of color intensity (e.g. Red/Blue) are correlated with fluorescence to identify the color spectrum quantitation that best allows for quantitative analysis of metabolic rate from a color photo. Data may first be analyzed through XY plots using GraphPad Prism version 5.00 for Windows, GraphPad Software, San Diego Calif.
  • explants may retain their metabolic rate (e.g., fluorescence per mg tissue) for a period of time, e.g., 12 hr or more, after collection. Maintaining explants at 4° C. may extend viability.
  • metabolic rate e.g., fluorescence per mg tissue
  • the differences in the timing of assay initiation and sample incubation temperature will be compared to assess the possibility that explants could be collected on farm and shipped to a commercial laboratory for analysis.
  • the present invention establishes that embryonic fish and oysters can be collected and shipped to a central lab for analysis, thus it may be possible for explants as well.
  • Each sample will be placed in a capped culture tube containing 1 ml L-15 medium without phenol red supplemented with 25 mM HEPES, 5 mM NaHCO3, Gentamycin (100 ⁇ g/ml), and fungizone (2.5 ⁇ g/ml).
  • Three samples from each fish will be exposed to each condition. Samples maintained at both room temperature and at 4° C. will be kept in Styrofoam shipping containers within the lab and samples will be removed at 6, 12, 24, and 48 hours of incubation. At the end of the incubation samples will be analyzed as previously described for metabolic rate.
  • explants will be weighed and total DNA within the sample will be assessed. Fluorescence data will be corrected by either tissue weight or total DNA and expressed as change in fluorescence per mg tissue or ⁇ g DNA.
  • FIG. 10A-10B show representative results from Oyster Spat.
  • the top figure shows that oyster spat derived from different families induced nearly 3 fold differences in AlamarBlue reduction. This suggests that significant variation in NADH 2 production exists between and within families.
  • FIG. 11A-11D show that in both sized and runt oysters the signal generated increases with time and with the number of oysters within a well. Larger oysters (sized) generate signal more quickly and with fewer oysters than do runt oysters.
  • FIG. 11A-11D show that in both sized and runt oysters the signal generated increases with time and with the number of oysters within a well. Larger oysters (sized) generate signal more quickly and with fewer oysters than do runt oysters.
  • FIG. 13A-13D show changes in fluorescence with various numbers of tilapia ( FIG. 13A ), trout ( FIG. 13B ), oysters ( FIG. 13C ), and shrimp ( FIG. 13D ).
  • FIG. 13A-13D show that metabolic rate within a given volume increases as the number of individuals within that volume increases.
  • FIG. 14 shows that tilapia broodstock selection based on metabolic rate, as measured by the AlamarBlue based assay, results in offspring with higher feed efficiency than offspring from Tilapia broodstock selection based on growth.
  • FIG. 15 shows the variability in metabolic rate within a family. This proposes that broodstock selection based on family selection will not improve genetics for growth nearly as rapidly as selection based on the individual metabolic rate.
  • FIG. 16 shows that slow growing inbred oyster lines (adam ⁇ adam) and (eve ⁇ eve) have higher metabolic rates than their outcrossed faster growing half-siblings (adam ⁇ eve).
  • descriptions of the inventions described herein using the phrase “comprising” includes embodiments that could be described as “consisting of”, and as such the written description requirement for claiming one or more embodiments of the present invention using the phrase “consisting of” is met.

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CA3082604A1 (fr) * 2017-11-15 2019-05-23 Arizona Board Of Regents On Behalf Of The University Of Arizona Procedes de mesure de la production equivalente de reduction par des tissus pour determiner des taux metaboliques et procedes d'utilisation

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CN116649254A (zh) * 2023-04-23 2023-08-29 中国水产科学研究院南海水产研究所 一种区分计算鱼类内外源碳代谢排放的模型及其构建方法

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