Monthly Archives: May 2012

Red Wine May Act to Reduce Risk of Breast Cancer in Premenopausal Adult Women

In the United States, breast cancer is the leading form of cancer for women.  Studies have found that increased alcohol consumption leads to an increased risk of breast cancer, though it is controversial whether or not red wine, a beverage that is known for its wide range of health benefits, raises this risk as well. 

http://www.internalmedicinenews.com/fileadmin/
content_images/imn/tb2t3_imn/
674x5zjn_breast_%20mammogram.jpg

Currently, aromatase inhibitors (AIs) are used in the management and treatment of estrogen receptor-positive breast cancer, though most of the research has been done on postmenopausal women, and much less is known about the role of AI in premenopausal women.  Mechanistically, AIs work to prevent the conversion of androstenedione and testosterone into estrogen, which lead to increased levels of testosterone and decreased levels of estradiol, estrone, and sex hormone globulin in the blood.

AIs have been found to be naturally occurring in grapes and red wine, but not in white wine.  It can be assumed that these AIs are located in the skins and seeds of the grapes, since they are only found in red wines where skins are in contact with the juice at some point during processing, as opposed to white wines where there is no skin contact with the juice.  Specifically, AIs that have been identified in red wine include isoflavone phytoestrogens, flavones, and procyanidin B dimmers.  Other polyphenols, such as the well-known resveratrol and quercetin, have not been linked to AI activity, even in those wines containing higher levels of the compounds.

In a short study published last year (which you may or may not have already heard about), the authors aimed to test whether red wine versus white wine is beneficial in regards to AI activity in premenopausal women. 

Methods

Eligible participants were premenopausal women with regular ovulatory cycles for the past 12 months.  Inclusion criteria for the study were: a body mass index between 18.5 and 30, normal serum liver function, and a regular unrestricted diet.  Exclusion criteria for the study were: irregular menstrual cycles or vasomotor symptoms within the last 12 months, pregnancy, breastfeeding, hormone therapy (including oral contraceptives) within the last 3 months, history of alcohol abuse, history of estrogen-dependent neoplasia, any chronic health conditions, and women aged younger than 21 years old.  Participants agreed to use nonhormonal contraception for the duration of the study.

The study was a randomized cross-over design where participants were assigned either a red or a white wine in the first cycle, and the opposite in the second cycle.  The red wine studied was Cabernet Sauvignon (BV Coastal, 2003) and the white wine studied Chardonnay (BV Coastal, 2003).  Participants were asked not to consume any other alcoholic beverages or grape products throughout the study.

Participants were instructed to consume 8 ounces of the assigned wine in the evening with food from day 1 to day 21 and to not drive or operate heavy machinery for at least 3 hours after wine consumption.

The duration of each treatment (red and white wine) was one menstrual cycle.  During the baseline menstrual cycle, participants did not consume any alcohol or grape products.  Serum was collected from participants at early follicular (days 5-8) and mid-luteal (days 17-21) phases during baseline and the two wine treatment cycles.  Serum hormone levels of the following were measured during these collection times:  estrone, estradiol, androstenedione, testosterone, sex hormone binding globulin, luteinizing hormone, and follicle stimulating hormone.  Between the two treatments, a wash-out period occurred where participants abstained from all alcohol and grape product consumption, which occurred after the mid-luteal serum collection day and day 0 of the next menstrual cycle.

Results

  •       36 participants were enrolled and completed the study.
  •       There were no statistical differences according to treatment order assignment (either red wine first or white wine first) for baseline hormone characteristics or menstrual cycle length.
  •       Red wine consumption was associated with significantly higher testosterone levels and lower SHBG levels than white wine consumption.
  •       Overall estradiol levels trended toward being lower with red wine versus white wine, though it was not statistically significant.
  •        Luteinizing hormone levels were significantly higher after consuming red wine versus white wine.
  •       Follicle stimulating hormone levels trended toward being higher after red wine consumption than white wine consumption, though this was not statistically significant.

Conclusions

According to the authors, this study is the first of its kind to clinically test the hypothesis that red wine is a nutritional aromatase inhibitor in premenopausal women.  The results showed that red wine consumption was associated with higher free testosterone levels and lower sex hormone binding globulin than with white wine consumption.  Non-significance with estrogen levels, according to the authors, could have been due to large variability and error across samples, which may be remedied by having a larger sample size.  Higher levels of luteinizing hormone after red wine consumption compared to after white wine consumption, according to the authors, suggests hypothalamic up-regulation in response to the lower estrogen levels.  Taking all results into consideration, the authors claimed that red wine is a nutritional aromatase inhibitor, and therefore beneficial in potentially reducing the risk of breast cancer in premenopausal women.

According to some studies, there is a 12% increased risk of breast cancer with the consumption of alcohol.  Most studies do not take into consideration red and white wine separately, and those that do have found conflicting results.  The results of this study show that red wine may not increase the risk of breast cancer as other types of alcohol do, as a result of the beneficial aromatase inhibitor properties that the red wine exhibits.

This study is not without its limitations, however.  The sample size was relatively small, so some of the results that were found not significant or marginally significant (“trending”) may prove to be significant with a larger number of participants.  Generally, the greater the variability of a particular variable (e.g. estrogen levels), the larger the sample size needed to detect significant differences between treatments.  With the smaller number of participants, it’s also likely that the demographics of the group were not representative of the entire population (though, they did not report these data, so we cannot be certain).  A study incorporating many different demographics is necessary to determine if the results of this study are applicable to other groups, or only this small subset of individuals.

The initial results of this small study seem to suggest an aromatase inhibitory effect of red wine in premenopausal women, but not white wine.  This benefit may act to negate the negative effects of the increased risk of breast cancer after alcohol consumption, though more studies are needed to be certain.

I’d love to hear what you all think of this topic!  Please feel free to comment below (any unapproved HTML tags will be deleted).

Source: Shufelt, C., Bairey Merz, N.,Yang, Y., Kirschner, J., Polk, D., Stanczyk, F., Paul-Labrador, M., and Braunstein, G.D. 2011. Red Versus White Wine as a Nutritional Aromatase Inhibitor in Premenopausal Women. Journal of Women’s Health 00: 1-4.

DOI: 10.1089/jwh.2011.3001
I am not a health professional, nor do I pretend to be. Please consult your doctor before altering your alcohol consumption habits. Do not consume alcohol if you are under the age of 21. Do not drink and drive. Enjoy responsibly!

The Effect of Water Deficits on Anthocyanin and Tannin Concentrations of Merlot Grapes

http://blog.selenewines.com/wp-content/
uploads/2009/09/Bare-Merlot-vine.jpg

Flavonoids in grapes, particularly anthocyanins and tannins, have great impact on the quality of wines, specifically in the areas of color and astringency.  The composition of these compounds in grapes depends on many factors, including grape variety, water status, and other environmental/climatic variability.  This variability in grapes leads to a large variability in flavonoid concentration in finished wine as well, which can further be manipulated by different wine making procedures and techniques.   In regards to water status during the growing season, it is known that changes in water availability alters the concentrations of these major flavonoids, however, it is unclear precisely how and to what extent these changes are reflected in the grape.

Berry ripening may be either accelerated or decelerated depending upon the timing and duration/severity of the drought.  Skin growth itself could be inhibited during droughts, which could alter the proportion of skins and seeds to total berry weight, which is an important indicator of grape quality.  In terms of flavonoid synthesis, tannins are synthesized earlier in the season, while anthocyanins are synthesized later.  Therefore, the timing of the water deficit could be critical in the development of one or both of these important quality components of grapes and wine.  Specifically, it is thought that since flavonoids are primarily located in the skins of grapes, when berry growth is inhibited by some mechanism, the resulting concentrations of flavonoids in the grape will be increased due to an increased surface:volume ratio.

The goal of the current study, therefore, was to examine the influence of water status on grape berry growth, skin tannins, and anthocyanins in Merlot grapes in order to determine the extent that which water deficits induce changes in grape berry composition.  To date, results of similar studies have been inconsistent.  By understanding how water deficits alter flavonoid composition (specifically tannins and anthocyanins), one may be able to develop specific vineyard management strategies in order to maximize the quality of the grapes, and ultimately quality of the wine produced from those grapes.

Methods

Experiments were performed in 2004, 2005, 2007, and 2008 in a vineyard of Merlot (Vitis vinifera) which was planted in 1993.  The vineyard was located at an experimental farm at the University of Udine in northeast Italy on soil (49% sand, 31.5% silt, and 19.5% clay) with 12% gravel, 0% slope, 29.3% field capacity, and a permanent wilting point of 19.3%.  Orientations of the rows were north-south, with spacing at 1m between plants, and 2.5m between rows, and about 4000 vines per hectare.  Vines were trained on a spur cordon system.

Water control to the vines was achieved by sheltering the rows under a tunnel covered by a polyethylene film.  The tunnel was placed over the whole experimental block that included four rows of 60m in length (240 vines).  Experimental rows were the two center rows of the four, since rain water could possibly seep into the edges of the tunnel and uncontrollably change the water status of the two rows closest to the edge.  The first and last 8 plants of each experimental row were also excluded due to the same reasons as mentioned just previously.  Water was supplied to the vines by a sub-surface drip irrigation system with emitters at 2.5L per square meter per hectare.  Each emitter was 0.6m apart and there was 2.5m between each irrigation line.

Plant water status was measured by midday measurements of stem water potential.  To measure this, two leaves per plot (on each side of the row) were covered with aluminum foil coated plastic bags for one hour, in order for the stem and leaf water potential to equilibrate.  After one hour, the leaves were removed and stem water potential was measured by a pressure chamber.

Two water/irrigation treatments were established: a control were vines were irrigated once a week in order to keep the stem water potential between -0.2 and -0.6MPa, and a water deficit (WD) treatment were vines were irrigated to maintain a stem water potential of -0.8 and -1.4MPa during the ripening period.  To maintain this level, irrigation was cut off on the WD vines 43, 34, 45, and 47 days after anthesis in 2004, 2005, 2007, and 2008, respectively.  With the exception of 2007, one more irrigation was applied to WD vines between veraison and harvest.

Each irrigation treatment was replicated on four plots of 12 vines each.  Both control and water deficit treatments were performed under the polyethylene tunnels, to account for any microclimatic variation caused by being under the tunnel.

Grape berries were sampled every 7-14 days, from 21-40 days after anthesis to harvest.  For each sampling day, two sets of 30 berry samples were collected from each plot.  One set was collected to measure juice soluble solids (oBrix) and titratable acidity, while the other set was collected for anthocyanin and tannin analysis.

Results

  •       Midday stem water potentials were significantly lower in water deficit treatments than in control treatments from 55 days after anthesis until harvest.
  •       Stem water potential decreased progressively in water deficit treatment vines throughout the ripening period, while stem water potential for the control vines remained consistently higher than -0.65MPa.
  •        There were differences in the severity and the timing when the deficit became very severe.
  •       Across all four seasons, water deficit significantly reduced the final berry weight and pH, and had no effect on soluble solids, titratable acidity, skin weight, or skin/berry weight.

o   There was a significant effect of season on all size and chemistry parameters, as well as a significant season x irrigation treatment interaction for berry weight, soluble solids, and titratable acidity (parameters were significantly different in some years but not others).

  •       Anthocyanin concentrations significantly increased in the water deficit treatment but had no effect on skin tannin concentrations.

o   There were significant season effects on anthocyanin and tannin concentrations, and significant season x irrigation treatment interactions for tannin concentrations (significant changes in some years but not others).

o   Tannin concentrations were not affected by irrigation treatment.

  •       Water deficit inhibited berry growth, though it did not alter the berry growth pattern during the season.
  •       Maximum berry weight was reached at the same time for both treatments.
  •        At harvest, water deficit berries were 7.6% to 20.1% smaller than control berries.
  •       Skin tissue was 7-15% of berry weight, though skin and berry growth was relatively inconsistent from season to season.
  •       Berry soluble solids were not consistently affected by irrigation treatment.
  •       Titratable acidity was not affected by irrigation treatment.
  •        Anthocyanin concentrations increased faster in water deficit berries than control berries, and were significantly higher in water deficit berries after 30 days into the treatment.

o   Water deficit increased the overall mean anthocyanin concentration at harvest by 50% compared to controls.

  •       Overall mean tannin concentrations at harvest were not significantly different between treatments.

o   There was a significant treatment x year interaction (the treatment was significant in some years, but not others), and water deficit significantly increased tannins in 3 out of the 4 years.

Conclusions

The results of this study showed that anthocyanin concentrations in Merlot grapes significantly increased with the water deficit treatment; whereas only in certain years did this deficit alter skin tannin concentrations.  These results indicate that the relationship between fruit ripening and water status is complex.  Other studies have shown that tannin synthesis occurs earlier on in the ripening period, whereas anthocyanin synthesis occurs later on in the season.  Therefore if most or all of the tannins are synthesized before the water deficit occurs, it is likely that the drought will not significantly affect the concentrations of the compound.  However, if the water deficit occurs before synthesis is complete, as it happened with the anthocyanin concentrations in this experiment, final concentrations will likely be much more variable and affected by the drought.

The authors continued to elaborate on this relationship between flavonoid concentrations and water deficits in that the increase is due to an upregulation of anthocyanin biosynthesis but no corresponding increase in tannin biosynthesis.  Based on the results from other studies, the authors could not rule out a possible inhibition of anthocyanin degradation instead of the upregulation theory described earlier.  More research that focused on this type of physiology would need to be performed in order to get a more accurate understanding of the mechanisms involved with the increase in anthocyanin concentration when under a water deficit.

Generally speaking, the results of this study give some insight into how water deficits may alter the quality of grapes which would ultimately lead to changes in the quality of the wine produced from those grapes.  More work needs to be done to further understand the mechanisms behind the changes observed in the study, and should include many more parameters, as chemical composition of grapes can be very complex with each part playing a different role in different environmental and climatic situations. 

I’d also be curious to see a study that combined not only the types of experiments performed in this study, but to also take it one step further and create wines from the grapes under the different irrigation treatment, in order to determine how water deficits actually affect overall wine quality, instead of simply making assumptions.  Also, a study incorporating several different varieties of grapes may be important as well, as studies have shown that different grape varieties are affected by environmental or climatic conditions differently.

I’d love to hear what you all think of this study.  Can you think of ways to improve upon this study?

Source: Bucchetti, B., Matthews, M.A., Falginella, L., Peterlunger, E., and Castellarin, S. 2011. Effect of water deficit on Merlot grape tannins and anthocyanins across four seasons. Scientia Horticulturae 128: 297-305.

DOI: 10.1016/j.scienta.2011.02.003
I am not a health professional, nor do I pretend to be. Please consult your doctor before altering your alcohol consumption habits. Do not consume alcohol if you are under the age of 21. Do not drink and drive. Enjoy responsibly!

The Effect of Long-Term Organic Compost Treatment On Soil and Grape Quality

Composting has been shown to increase soil quality by increasing organic matter and altering concentrations of nitrogen and phosphorous, as well as changing bulk density, porosity, and water holding capacity.  These changes could be beneficial for soil conservation, particularly in soils that are degraded or damaged and prone to erosion.  Not only is composting beneficial for the soil, but the changes to the soil could also be very beneficial for those plants and animals/insects growing in it.

http://www.rodale.com/files/images/compost.jpg

In terms of wine, it is been well documented that soil characteristics play a role in the quality of the wine produced from the grapes growing in that soil.  Though the chemical composition of grapes is well known, very few studies have examined the effects of composting on this composition.  Therefore, the goal of the short study presented today was to examine the long-term effects of composting on the yield and quality of Chardonnay grapes grown in a Tuscan vineyard.

Methods

The experimental vineyard was located in Cesa (Italy) inside the Centro Sperimentale per l’Agricoltura e l’Innovazione – ARISA Toscana.  The climate is Mediterranean (dry subhumid) with an annual rainfall of 550mm.  Autumn is prone to heavy rainfall events, which can cause problems with soil erosion and soil nutrient loss.  The experimental vineyard belonged to the DOC region of Bianco Vergine di Valdichiana, with a slight slope of 2.5% and a NE exposure.  Soil type was a loamy soil rich in alluvial sediments with limited water reserve.

The grapes used for this experiment were Chardonnay (Entav-Inra 95 clone) vines that were grafted on SO4 in 1996 and cordon trained with a density of 2700 plants/ha.  Vineyard management practices included maintaining soil covered by grass between rows.  In 2001, the vineyard was split into three experimental plots and treated with different fertilization types.  Treatments were applied with the following:

  •         Treatment A: Control treatment with chemical fertilization (50kg N/hectare/year, 30kg P/hectare/year, 70kg K/hectare/year)
  •        Treatment B: Organic compost treatment with 15tons/hectare/year applied.
  •       Treatment C: Organic compost plus chemical fertilizer treatment with 15tons/hectare/year applied for the compost, and 25kg N/hectare/year, 15kg P/hectare/year, and 35kg K/hectare/year applied for the chemical fertilizers.

Compost was applied as mulch over inter-rows in the experimental plots.  The organic compost was derived mainly from source separated organic urban waste that was selectively collected.

For all treatments, topsoil samples (0.3m depth) were collected twice (N = 5 per treatment), at the beginning and end of the experiment and before the application of compost/fertilizers.  Composite soil samples were collected by combining two 60mm diameter soil auger cores that were taken in the middle of the inter-row.  Soil physiochemical parameters were measured on all soil samples.

Leaf area was calculated for all treatment plots.  Leaves were removed from half of a plant canopy (three plants per treatment) at veraison, and the following were measured three times throughout the season (May, July, and September): SPAD index, Net CO2 assimilation, and stomatal conductance.

Three grape clusters from each experimental sample vines were randomly collected and weighed.  For the berries, the following were measured: soluble solids concentration (oBrix), titratable acidity, pH, malic acid, and tartaric acid. 

Results

  •       Long-term use of compost to the vineyard (alone or with fertilizers) significantly (and positively) affected soil parameters.

o   There was a slight alkalinization of the soil.

o   There was a significant increase in organic matter in the soil with compost treatment.

§  From 2001 to 2009, organic matter increased 3.5x with the compost treatment, and 2.5x with the compost plus chemical fertilizer treatment.

§  At the end of the entire experiment, soil treated with compost alone had an organic matter content 2.5x higher than the soil treated with the chemical fertilizers alone.

o   There was the same trend for organic carbon content as organic matter (increase with compost treatment).

o   There was a significant increase in total nitrogen content with the compost treatment alone.

§  Total nitrogen was 2x higher in compost only soil compared to chemical fertilizer only soil.

o   Ammonium concentrations significantly increased in the compost treatment, while nitrate concentrations were significantly lower.

  •       Application of compost led to an increase in soil nitrogen, with a mineralizable and stable nitrogen pool and a decrease in soil nitrate levels compared to the chemical fertilizer treatments.
  •        Compost treatment did not significantly affect Chardonnay grapevine growth.

o   Leaf area values were nearly the same for all treatments.

o   There were no significant differences in leaf gas exchange parameters (i.e. net CO2 assimilation, stomatal conductance, and SPAD index).

§  Since CO2 assimilation and stomatal conductance are linked to photosynthesis, these results indicate that compost treatment did not affect photosynthetic performance of the grapevines.

§  There were significant decreases in CO2 assimilation and stomatal conductance at the end of the season, compared to earlier measurements (the same for all treatments), as well as a peak in SPAD index levels.

·         This result is due to the senescence of leaves and does not affect quantity/quality of the grapes.

o   Compost treatment did not have a significant influence on vine growth, nor were there differences between treatments in regards to plant physiological characteristics (CO2 assimilation, stomatal conductance, and SPAD index).

  •       Compost treatment gave varied results over time, depending upon the year/vintage.

o   The number of clusters per plant and the average berry weight were not affected by compost treatment and were not significantly different than the chemical fertilizer control EXCEPT in 2002, 2005, and 2006.

o   Cluster weight was significantly affected by compost treatment EXCEPT in 2003, 2004, and 2005 (no differences detected for those three years).

o   Compost treatment led to a higher production in 2002, 2005, 2007, and 2008 compared to the control chemical fertilizer treatment and a lower production in 2001 and 2006 compared to the control.

o   On average throughout the course of the entire experiment, there were minimal differences among treatments when considering grape production levels.

  •       The pH and oBrix of the grapes was not affected by compost treatment, except in 2006 when oBrix were higher in the compost treatment compared with the control.

Conclusions

Based on the results of this study, the benefits of organic composting are seen primarily in the soil itself, and not as much in the quality/quantity of the grapes produced from the vines planted therein.  The long-term treatment of organic compost to a vineyard can be beneficial for soil characteristics such as organic matter and nitrate content.   Though some years showed significant effects on grape quality, the average for the long-term treatment showed no differences in grape quality with compost-treated soils versus chemical fertilizer-treated soils.

One thing I would have liked to see is how the chemical composition of the grapes changed with organic compost treatment, and not simply berry weight.  Perhaps production remains the same regardless of treatment type, but does the chemical profile of the grape remain the same or change?  How would this affect the resulting wine?

Even though, according to this study, grape quality/quantity remained unchanged with the organic compost treatment, the sheer benefit to the soil itself is reason enough to justify potentially employing the treatment in routine viticultural management practices.  Of course, more work would need to be done.

I’d love to hear what you all think about this study/topic.  Feel free to leave your comments below (no html tags, please).

Source: Mugnai, S., Masi, E., Azzarello, E., and Mancuso, S. 2012. Influence of Long-Term Application of Green Waste Compost on Soil Characteristics and Growth, Yield and Quality of Grape (Vitis vinifera L.). Compost Science and Utilization 20(1): 29-33.
I am not a health professional, nor do I pretend to be. Please consult your doctor before altering your alcohol consumption habits. Do not consume alcohol if you are under the age of 21. Do not drink and drive. Enjoy responsibly!

Using UV-fluorescence to Detect Grey Mold (Botrytis cinerea) Infections: Possible Implications for Field Detection Technologies

Anyone who has ever worked in a vineyard understands that Botrytis cinerea (grey mold) is a serious threat to the health and quality of the grapes.  This mold is responsible for huge crop losses in many parts of the world, and is responsible for billions of dollars in damage in the United States and all over the globe.  Wine quality from botrytised grapes is often reduced, due to moldy, mushroom-like, and rotten smells.  Botrytis cinerea infection can result in desirable wine, however, when it is present in some white varieties that are used to produce sweeter late harvest wines (“noble rot”).

http://1.bp.blogspot.com/_KMlT-iVv-b0/
SbI_ixDtnzI/AAAAAAAABlw/
OJSvIwfeTrc/s400/noble-rot.jpg

Early on in the spring, B. cinerea can infect the leaves of the grapevine, spreading throughout the leaves and flowers.  In the summer, the mold can infect the grapes themselves, the success of which depends on many factors, including the genetic structure of the B. cinerea, climatic conditions, the architecture of the grape cluster, and the susceptibility of the berry.  Infections can occur by a couple of different mechanisms, including airborne attacks by spores onto open wounds in the berry caused, for example, by hail or insect damage; and also infections spread by fungal vegetative filaments from one berry to the next. 

Controlling B. cinerea in vineyards can be done several ways, though often requires treatment of fungicides, though it can also be controlled by changing vineyard management/cultivation practices.  The mold is often detected by patrolling the vineyards, using ELISA techniques (Enzyme Linked Immunosorbent assay), forecasting utilizing climatic data, and finally at harvest, botrytised grapes can be sorted to remove infected grapes.

Once entered into the grape, B. cinerea induces defensive reactions in the plant.  The primary mechanism is the synthesis of phytoalexins and pathogenesis-related proteins, including resveratrol and similar stilbenic compounds.  Resveratrol, which has been extensively studied as a compound that is very beneficial for human health, can easily be seen around B. cinerea infection sites due to its blue florescence in grape leaves and fruit.  Mechanistically, it is assumed that B. cinerea detoxifies stilbenic compounds (resveratrol and pterostilebene, a highly toxic compound for fungi) using laccase phenol-oxidizing enzymes in order to colonize the plant.  At the same time, there is a decrease in chlorophyll concentrations in leaves of grapevines infected by B. cinerea, which induces the plant to increase photosynthetic activity in the leaf surrounding the infection site, which could also be detectable using plant fluorescence.

Due to the ability of many of the aforementioned compounds to fluoresce in grapes and grape vines, the authors of the study presented today hypothesized that is would be possible to detect B. cinerea infections on grapes using remotely sensed fluorescent techniques.  This sort of technology has already been used for detecting fungal infections in other plant species, where researchers have found increases two different fluorescence ratios (instead of one wavelength) during the active infection.  Therefore, it was the goal of the study presented today to evaluate the autofluorescence response of grapes to Botrytis cinerea infection under controlled conditions, and to determine if earlier detection of the infection is possible using remote sensed technology.

Methods

Grape clusters of the white cultivar Italia of 500, 550, and 660g were used in three separate experiments (A, B, and C).  For each cluster, 10 berries were randomly selected, detached from the bunch, and surface sterilized by immersion into 95% denatured ethyl alcohol for 30 seconds.

The strain of Botrytis cinerea used was 234 (transposa genetic type, Group-II), since it is a more aggressive strain than others.  The mold was originally collected in 1998 at harvest in a Bordeaux vineyard from Sémillon blanc grapes and grown in petri dishes on 1.5% malt agar solid medium. 

To inoculate the grapes with the mold, mycelial plugs of 4mm in diameter were taken from these media.  The skin of all berries was pierced with a fire-sterilized needle, with one plug per berry placed at the site skin piercing.  For Experiment A, 5 berries were inoculated on October 10th, 5 on October 18th for Experiment B, and for Experiment C, 5 berries were inoculated on November 26th, 2006. 

For each of the three experiments, controls were created by inoculating 5 berries with a malt agar disc without the mold at the same skin piercing point on the berry.  Inoculated berries were kept in a humidity-controlled chamber.  The incubation period for each experiment was the time between inoculation and the first fluorescence measurements: 3 days for Experiment A; 2 days for Experiment B; and 0.25 days for Experiment C.

Fluorescence measurements were taken at 3 and 6 days after inoculation for Experiment A, 2 and 5 days for Experiment B, and 0.25, 1, 4, and 6 days for Experiment C.  Measurements were taken via an imaging fluorometer using an interline charged-coupled device camera modified for on-chip accumulation capability.

In addition to fluorescence measurements, images were created and analyzed.  For each image, a mask was manually delineated in order to determine the berry area and to exclude non-berry pixels for data analysis. Fluorescence ratios for each berry were also calculated: F440/F520, F440/F690, F440/F740, F520/F690, F520/F740, and F690/F740

After calculating the fluorescence ratios and creation of the masks, spatial average was calculated for each berry, with one value per berry for each ratio and each date of measurement.

Due to strong fluorescence of the agar plugs, they were removed right before the first day of measurements for each experiment.

Results

  •       Due to the removal of the agar plug right before the first fluorescence measurement, visible development rate of B. cinerea was influenced by the inoculation period.

o   For Experiment C, plugs were left in for only 6 hours, therefore colonization of B. cinerea was slower than for Experiments A and B.

  •       Experiment A, 6 days after inoculation: all 5 berries expressed symptoms of grey mold infection.
  •       Experiment B, 5 days after inoculation: 4 out of 5 berries expressed symptoms of grey mold infection.
  •       Experiment C, 4 days after inoculation: all 5 berries expressed symptoms of grey mold infection.
  •       In the digital images:

o   Control berries showed a circular scar that was darker and slightly larger than the needle diameter.

o   Infected berries showed a brown rotted lesion surrounding a split which was leaking interior contents of the grape.

  •        Images under UV light:

o   There was a strong blue fluorescence (due to the presence of resveratrol) around the contaminated area on the infected berries.  The fluorescence distribution was associated with the spreading lesion on the berry.

o   The infected area was surrounded by a band of fluorescence in what looked like a healthy area of the grape up to 5mm in front of the visibly noticeable infected area.

o   In control berries, blue fluorescence was clearly detectable, though restricted to the needle wound site.

§  Since fluorescence was noticed on both infected and control berries, determination of a Botrytis cinerea infection solely based on these digital images could be confusing and potentially lead to incorrect diagnoses.

Figure 3 from Belanger et al, 2011 (DAI = days after inoculation)
  •       For some of the fluorescence ratios, there were significant differences between infected and control berries.

o   The best ratio for early detection of B. cinerea infection was F440/F740, which increased significantly in infected berries than control berries.

  •        Fluorescence was seen on not only the infected berries but the control berries as well, which was possibly due to the healing process at the needle site, which involves lignification and accumulation of phenolics at the wound site.

o   Mechanical wounding activates the same genes that are involved with healing and defense against pathogens in plants.

  •       The fluorescent area was constant with control berries, while was variable and evolving with infected berries.

o   The central area within the developing lesion in the infected berries no longer fluoresced at 3, 4, or 6 days after inoculation.


Figure 4 from Belanger et al, 2011 (DAI = days after inoculation)


o   The boundary of the lesion showed a higher F440 intensity.

§  This is possibly due to the fact that B. cinerea produces enzymes (laccases) that digest plant phenolics (stilbenes in particular) that were originally present in the developing lesion.  As the lesion expands, stilbenes and other phenolics are recruited to the site, while behind the front laccases and other enzymes produced by the mold digest and destroy them.

o   The fluorescence at 440nm very clearly showed colonization by B. cinerea, however in the early stages of infection before 3 days after initial inoculation, it is too difficult to distinguish between B. cinerea infection and a simple skin wound such as hail damage or an insect prick.

  •       Using edge detection via UV-epidermal transmittance, it was possible to detect the B. cinerea infection area without detecting a simple mechanical injury as with the control berries.

o   There was no fluorescence detectable on the control berries.

o   Infected berries showed significantly more edges detected than control berries.

§  These differences were detected as early as 3 days after inoculation for Experiment A, and 0.25 days after inoculation for Experiment C.

§  For infected berries, the colonized area by B. cinerea at the surface of the berry was detected by an increase in epidermal transmittance at 690nm, which resulted in higher proportions of edges detected.

·         These results were hypothesized to occur as a result of laccase being secreted by B. cinerea during the infection process catalyzing the UV-absorbing components of the grapes, which would therefore increase the amount of UV light reaching the chlorophyll in the berries and increasing the epidermal transmittance.

Conclusions

Studies have found that initial fungal colonization of plants result in an increased concentration of resveratrol, a compound that is toxic to fungi, to the point of infection in order to attempt to prevent further spread by the pathogen.  As a result of this influx of resveratrol (and other phenolics), there is a notable increase in fluorescence at 440nm, which is focused mainly on the infection/colonization front.  If B. cinerea overcomes the initial flux of resveratrol, it overpowers the defensive system of the berries and completely colonizes the grape by catalyzing the resveratrol and other phenolics by action of the phenol-destroying enzyme laccase.  The destruction of the resveratrol and other phenols results in a decrease in UV light absorption and a decrease in the fluorescence at 440nm.  Therefore, when looking at digital images under UV light, there is a blue fluorescence at the colonization front, whereas there is no fluorescence in the colonization center where the fluorescing compounds have been digested and destroyed by the B. cinerea enzymes.

Even though fluorescence of resveratrol and other stilbenes were detectable under UV light at 440nm, mechanical wounding caused by the needle prick (and therefore similar to insect bites or hail damage, etc), it could get confusing determining whether or not a grape is actually infected with B. cinerea or if it’s simply banged up a little by looking at digital images of one wavelength (in this case, 440nm) alone.  However, the results of this study did show that if one looked at the ratio of two different wavelengths, specifically F440/F740, one would be able to distinguish between berries infected with B. cinerea and berries that are healthy or only slightly damaged by simple mechanical means.  This study also found that using this ratio method, one could detect B. cinerea infection as early as 4 days after inoculation.

Based on these results, the authors suggest a possible hand-held device that can easily measure fluorescence absorbance at the 440nm and 740nm wavelengths in the field and calculate a ratio for determining infection status of the grapes.  This sort of device could be implicated during several different points of the year, including in the vineyard during the growing season to help improve defensive control strategies and during the sorting process after harvest in order to better select healthy grapes versus infected grapes.  A critical threshold value for this ratio would need to be determined through experimentation, though the authors of the current study suggest a critical value between 0.8 and 1.0 based on their own data, though more work under varying conditions should be done before this value is accepted as standard.

The results of this study provide important information for developing a technique for identifying Botrytis cinerea infected grapes earlier than current methods, which could aid in improving treatment implication times and sorting.  More work needs to be done to gain more knowledge on the possibility of using UV fluorescence ratios for early detection (as early as 3 days according to this study), but this is a solid step in the right direction.

I’d love to hear what you all think about this topic.  Please feel free to comment below (no html tags, please).

Source: Bélanger, M.C., Roger, J.M., Cartolaro, P., and Fermaud, M. 2011. Autofluorescence of grape berries following Botrytis cinerea infection. International Journal of Remote Sensing 32(14): 3835-3849.

DOI: 10.1080/01431161003782064



I am not a health professional, nor do I pretend to be. Please consult your doctor before altering your alcohol consumption habits. Do not consume alcohol if you are under the age of 21. Do not drink and drive. Enjoy responsibly!