WEBVTT 00:00:00.000 --> 00:00:02.750 align:middle line:90% 00:00:02.750 --> 00:00:05.720 align:middle line:84% Anyway, again, sitting out in the field, 00:00:05.720 --> 00:00:09.440 align:middle line:84% we've watched 61 individuals in nature 00:00:09.440 --> 00:00:13.310 align:middle line:84% continuously for six hours each recording on computer 00:00:13.310 --> 00:00:16.430 align:middle line:90% all their little behaviors. 00:00:16.430 --> 00:00:19.170 align:middle line:84% And I'm just going to show a couple of pictures. 00:00:19.170 --> 00:00:23.180 align:middle line:84% This is my former student, Mike, and I 00:00:23.180 --> 00:00:24.710 align:middle line:84% watching some of these caterpillars 00:00:24.710 --> 00:00:26.660 align:middle line:84% in the field in the Santa Rita mountains. 00:00:26.660 --> 00:00:29.810 align:middle line:84% In fact, here's one of the caterpillars. 00:00:29.810 --> 00:00:32.030 align:middle line:84% And we could usually watch two at once 00:00:32.030 --> 00:00:33.950 align:middle line:84% and record all the things they did 00:00:33.950 --> 00:00:36.590 align:middle line:84% because we had these little handheld computers. 00:00:36.590 --> 00:00:40.640 align:middle line:90% 00:00:40.640 --> 00:00:42.150 align:middle line:90% We had various people help us. 00:00:42.150 --> 00:00:45.560 align:middle line:84% So this was a Brazilian student, Danny, 00:00:45.560 --> 00:00:47.690 align:middle line:84% who worked with us for six months. 00:00:47.690 --> 00:00:49.730 align:middle line:84% And we had a variety of people come. 00:00:49.730 --> 00:00:50.660 align:middle line:84% They liked to come for a little while. 00:00:50.660 --> 00:00:52.410 align:middle line:84% They don't want to do it as long as we do. 00:00:52.410 --> 00:00:53.180 align:middle line:90% [LAUGHTER] 00:00:53.180 --> 00:00:57.650 align:middle line:84% And Thomas Hartmann, who's my collaborator from Germany, 00:00:57.650 --> 00:01:00.500 align:middle line:84% came out one summer and spent the summer here 00:01:00.500 --> 00:01:01.430 align:middle line:90% watching caterpillars. 00:01:01.430 --> 00:01:03.560 align:middle line:90% He's the biochemist in the team. 00:01:03.560 --> 00:01:06.990 align:middle line:84% And he does all the chemistry and the molecular biology. 00:01:06.990 --> 00:01:10.280 align:middle line:84% So he's really a lab person, but he had fun. 00:01:10.280 --> 00:01:13.880 align:middle line:84% But after six hours of watching, he was very pleased to get up. 00:01:13.880 --> 00:01:15.860 align:middle line:90% [LAUGHTER] 00:01:15.860 --> 00:01:17.930 align:middle line:84% Anyway, just some basic information 00:01:17.930 --> 00:01:21.530 align:middle line:84% to give you an idea of what these caterpillars are like. 00:01:21.530 --> 00:01:25.370 align:middle line:84% Number of plant species eaten in six hours on average, five. 00:01:25.370 --> 00:01:28.850 align:middle line:84% Number of individual plants eaten in six hours, nine. 00:01:28.850 --> 00:01:31.970 align:middle line:84% Because they move around a lot, so they go from place to place. 00:01:31.970 --> 00:01:33.590 align:middle line:90% They walk on things. 00:01:33.590 --> 00:01:36.350 align:middle line:84% Number of plant parts and species in six hours. 00:01:36.350 --> 00:01:39.470 align:middle line:84% So we're talking leaves, flowers, fruit stems, 00:01:39.470 --> 00:01:42.050 align:middle line:90% that kind of thing, 21. 00:01:42.050 --> 00:01:45.845 align:middle line:84% The number of plant species recorded as host, 79. 00:01:45.845 --> 00:01:48.050 align:middle line:84% The percent of plant species rejected 00:01:48.050 --> 00:01:49.460 align:middle line:90% in six observations, 49. 00:01:49.460 --> 00:01:52.400 align:middle line:84% So half the plants they come across they eat, and half they 00:01:52.400 --> 00:01:53.090 align:middle line:90% reject. 00:01:53.090 --> 00:01:55.440 align:middle line:84% But you can see they're real generalists. 00:01:55.440 --> 00:01:59.670 align:middle line:84% They eat loads and loads of different plants. 00:01:59.670 --> 00:02:01.580 align:middle line:84% But what they like are plants containing 00:02:01.580 --> 00:02:04.550 align:middle line:84% toxins called cool pyrrolizidine alkaloids, otherwise known 00:02:04.550 --> 00:02:05.450 align:middle line:90% as PAs. 00:02:05.450 --> 00:02:08.150 align:middle line:90% I'm going to talk about PAs. 00:02:08.150 --> 00:02:09.800 align:middle line:90% Here's a molecule of a PA. 00:02:09.800 --> 00:02:11.870 align:middle line:90% It's a complicated molecule. 00:02:11.870 --> 00:02:13.850 align:middle line:90% It's a poisonous chemical. 00:02:13.850 --> 00:02:16.910 align:middle line:84% Poisonous to pretty well everything except these kinds 00:02:16.910 --> 00:02:18.560 align:middle line:90% of caterpillars. 00:02:18.560 --> 00:02:22.820 align:middle line:84% I've put part of it in red because they don't just 00:02:22.820 --> 00:02:25.370 align:middle line:90% use these things for defense. 00:02:25.370 --> 00:02:27.590 align:middle line:84% They take a part of this molecule 00:02:27.590 --> 00:02:30.530 align:middle line:84% and make it into a courtship pheromone. 00:02:30.530 --> 00:02:33.890 align:middle line:84% So the males produce this thing, and it 00:02:33.890 --> 00:02:36.590 align:middle line:84% makes the females want to mate with them. 00:02:36.590 --> 00:02:40.520 align:middle line:90% So they have a lot of uses. 00:02:40.520 --> 00:02:43.100 align:middle line:84% Now, again, we go back to behavior. 00:02:43.100 --> 00:02:44.390 align:middle line:90% Caterpillars wander around. 00:02:44.390 --> 00:02:47.810 align:middle line:84% On first contact with the plant, 100% acceptance 00:02:47.810 --> 00:02:50.300 align:middle line:84% of plants containing PAs, but less 00:02:50.300 --> 00:02:52.730 align:middle line:84% acceptance on other nutritious plants. 00:02:52.730 --> 00:02:55.080 align:middle line:90% So here are two PA plants. 00:02:55.080 --> 00:02:59.900 align:middle line:84% 100% likelihood of feeding if they encounter them, 00:02:59.900 --> 00:03:02.280 align:middle line:84% but somewhat less on all the other plants. 00:03:02.280 --> 00:03:04.860 align:middle line:84% So we know that they like these plants containing 00:03:04.860 --> 00:03:10.630 align:middle line:84% PAs, which makes sense because they want those chemicals. 00:03:10.630 --> 00:03:14.920 align:middle line:84% And this is a summary slide of a large amount of work, 00:03:14.920 --> 00:03:16.450 align:middle line:90% as you might imagine. 00:03:16.450 --> 00:03:18.580 align:middle line:84% But the PAs sequestered from plants 00:03:18.580 --> 00:03:21.100 align:middle line:84% provide protection from a lot of natural enemies. 00:03:21.100 --> 00:03:22.660 align:middle line:90% And here are different things. 00:03:22.660 --> 00:03:25.960 align:middle line:84% The sucking bugs, the mantids, the lacewings, the wasps, 00:03:25.960 --> 00:03:28.040 align:middle line:90% spiders, ants. 00:03:28.040 --> 00:03:28.930 align:middle line:90% You name it. 00:03:28.930 --> 00:03:31.000 align:middle line:84% These chemicals protect the caterpillars 00:03:31.000 --> 00:03:33.160 align:middle line:84% from a lot of different predators, 00:03:33.160 --> 00:03:34.940 align:middle line:90% and they're very effective. 00:03:34.940 --> 00:03:37.310 align:middle line:90% So it's a good strategy. 00:03:37.310 --> 00:03:41.440 align:middle line:84% So Estigmene mainly sequester pyrrolizidine alkaloids 00:03:41.440 --> 00:03:44.770 align:middle line:84% efficiently, concentrating trace amounts in foods 00:03:44.770 --> 00:03:46.990 align:middle line:84% to levels that are biologically useful. 00:03:46.990 --> 00:03:49.090 align:middle line:90% Now here's where Thomas came in. 00:03:49.090 --> 00:03:50.860 align:middle line:84% Thomas Hartmann in Germany, of course, 00:03:50.860 --> 00:03:52.780 align:middle line:84% did all the analysis of the things 00:03:52.780 --> 00:03:54.670 align:middle line:84% to show the plants didn't have much, 00:03:54.670 --> 00:03:56.470 align:middle line:84% but the caterpillars had huge amounts. 00:03:56.470 --> 00:03:57.940 align:middle line:90% So they're very effective. 00:03:57.940 --> 00:04:00.220 align:middle line:84% Males and females equally accomplished. 00:04:00.220 --> 00:04:02.860 align:middle line:84% PA is found throughout body, but high concentrations 00:04:02.860 --> 00:04:03.640 align:middle line:90% in the integument. 00:04:03.640 --> 00:04:05.830 align:middle line:90% Makes sense. 00:04:05.830 --> 00:04:09.070 align:middle line:84% If you're a predator, you want to know the bad taste quickly. 00:04:09.070 --> 00:04:12.550 align:middle line:84% Males donate PAs to females during copulation, 00:04:12.550 --> 00:04:15.950 align:middle line:84% and the females endow their eggs with these chemicals. 00:04:15.950 --> 00:04:18.490 align:middle line:90% So the eggs are protected. 00:04:18.490 --> 00:04:20.470 align:middle line:84% And the males produce the courtship pheromones. 00:04:20.470 --> 00:04:22.600 align:middle line:90% So basically, PAs matter. 00:04:22.600 --> 00:04:24.370 align:middle line:90% That's the whole point. 00:04:24.370 --> 00:04:25.880 align:middle line:90% They like the plants. 00:04:25.880 --> 00:04:27.040 align:middle line:90% They like the PAs. 00:04:27.040 --> 00:04:31.720 align:middle line:84% The PAs are terribly important to them biologically. 00:04:31.720 --> 00:04:33.730 align:middle line:84% So the interesting thing, then, was 00:04:33.730 --> 00:04:36.170 align:middle line:84% to look at how they taste these things. 00:04:36.170 --> 00:04:39.700 align:middle line:84% And so I've put a very simple schema here of a taste 00:04:39.700 --> 00:04:41.900 align:middle line:90% bud of a caterpillar. 00:04:41.900 --> 00:04:43.876 align:middle line:90% [LAUGHTER] 00:04:43.876 --> 00:04:46.450 align:middle line:90% They have taste buds like we do. 00:04:46.450 --> 00:04:51.220 align:middle line:84% And each taste bud has four taste cells in it, 00:04:51.220 --> 00:04:54.490 align:middle line:84% and I've shown each one as a separate color. 00:04:54.490 --> 00:04:55.360 align:middle line:90% Four taste cells. 00:04:55.360 --> 00:04:57.950 align:middle line:84% And these things join up to the brain. 00:04:57.950 --> 00:05:01.360 align:middle line:90% So it's a regular taste bud. 00:05:01.360 --> 00:05:03.380 align:middle line:84% And then you can record from them. 00:05:03.380 --> 00:05:06.160 align:middle line:84% And what I do is I have a glass electrode here 00:05:06.160 --> 00:05:09.200 align:middle line:84% and a silver wire in the middle, too. 00:05:09.200 --> 00:05:15.490 align:middle line:84% So if a chemical that tastes on one of these cells 00:05:15.490 --> 00:05:19.960 align:middle line:84% causes a firing of the cell, you get electrical impulses. 00:05:19.960 --> 00:05:21.790 align:middle line:84% It's transmitted through the material 00:05:21.790 --> 00:05:24.400 align:middle line:84% here, through a salt solution, onto the silver wire. 00:05:24.400 --> 00:05:27.640 align:middle line:84% And the silver wire's connected to all kinds of amplifiers 00:05:27.640 --> 00:05:29.750 align:middle line:90% and filters to a computer. 00:05:29.750 --> 00:05:33.100 align:middle line:84% So what we can do is we have a salt solution in here 00:05:33.100 --> 00:05:37.510 align:middle line:84% to carry the electrical impulse, and then it 00:05:37.510 --> 00:05:39.250 align:middle line:90% goes onto the silver wire. 00:05:39.250 --> 00:05:41.530 align:middle line:84% But we can also put in this salt solution 00:05:41.530 --> 00:05:48.010 align:middle line:84% various chemicals to see which ones these cells respond to. 00:05:48.010 --> 00:05:51.130 align:middle line:84% Now there are four cells, and we're recording all of them 00:05:51.130 --> 00:05:52.160 align:middle line:90% together. 00:05:52.160 --> 00:05:55.090 align:middle line:84% But each cell produces a very different pattern of firing, 00:05:55.090 --> 00:05:59.590 align:middle line:84% so we can identify the different cells. 00:05:59.590 --> 00:06:01.430 align:middle line:84% And you'll see it's pretty small. 00:06:01.430 --> 00:06:03.220 align:middle line:90% So here's the scale. 00:06:03.220 --> 00:06:05.980 align:middle line:84% 0.1 of a millimeter is this length. 00:06:05.980 --> 00:06:08.470 align:middle line:84% So we're talking pretty small stuff here. 00:06:08.470 --> 00:06:11.740 align:middle line:84% So I have to pull these little glass electrodes out 00:06:11.740 --> 00:06:13.195 align:middle line:90% to make a very small end. 00:06:13.195 --> 00:06:17.230 align:middle line:90% 00:06:17.230 --> 00:06:21.090 align:middle line:84% Here are the two main taste buds of the caterpillars. 00:06:21.090 --> 00:06:22.240 align:middle line:90% So there's a lateral one. 00:06:22.240 --> 00:06:24.160 align:middle line:90% This is right out here. 00:06:24.160 --> 00:06:27.700 align:middle line:84% And a medial one, which is sort of more in the middle. 00:06:27.700 --> 00:06:29.800 align:middle line:84% And each of them has these four cells. 00:06:29.800 --> 00:06:33.970 align:middle line:84% And usually, there are two that say yes, and two that say no. 00:06:33.970 --> 00:06:40.180 align:middle line:84% Just like for us, sweet says yes, and bitter says no. 00:06:40.180 --> 00:06:43.180 align:middle line:84% We have the same kind of situation in caterpillars. 00:06:43.180 --> 00:06:45.850 align:middle line:84% So here, the salt and the bitter chemicals 00:06:45.850 --> 00:06:48.940 align:middle line:84% will be going to a part of the brain that says no, 00:06:48.940 --> 00:06:51.560 align:middle line:84% and the cells responding to PAs and the cells 00:06:51.560 --> 00:06:53.920 align:middle line:90% responding to sugars says yes. 00:06:53.920 --> 00:06:56.050 align:middle line:84% So the balance of these things will tell it 00:06:56.050 --> 00:06:58.935 align:middle line:90% whether to eat or not. 00:06:58.935 --> 00:07:01.060 align:middle line:84% There's a little bit of difference in the two taste 00:07:01.060 --> 00:07:01.600 align:middle line:90% buds. 00:07:01.600 --> 00:07:04.810 align:middle line:84% But basically, there's two yeses and two nos. 00:07:04.810 --> 00:07:09.010 align:middle line:84% And the yeses in each case have a cell 00:07:09.010 --> 00:07:12.220 align:middle line:90% that is specific to the PAs. 00:07:12.220 --> 00:07:15.640 align:middle line:84% So we don't have such thing, but these guys do. 00:07:15.640 --> 00:07:17.980 align:middle line:84% And the sensitivity is incredible. 00:07:17.980 --> 00:07:22.660 align:middle line:84% We're talking 100,000 times more sensitive to PAs 00:07:22.660 --> 00:07:24.430 align:middle line:90% than we are to sugar. 00:07:24.430 --> 00:07:26.530 align:middle line:84% So it's the most sensitive taste cells 00:07:26.530 --> 00:07:28.780 align:middle line:90% that have ever been found. 00:07:28.780 --> 00:07:33.610 align:middle line:90% So anyway, I record from these. 00:07:33.610 --> 00:07:35.950 align:middle line:84% And this is the sort of result I get. 00:07:35.950 --> 00:07:39.850 align:middle line:84% So in half a second, I get these records. 00:07:39.850 --> 00:07:42.400 align:middle line:84% And each one of these little spikes 00:07:42.400 --> 00:07:45.070 align:middle line:84% means that there's a nerve impulse. 00:07:45.070 --> 00:07:48.970 align:middle line:84% And so if you look at the salt, the salt cell 00:07:48.970 --> 00:07:53.620 align:middle line:84% is responding here to the presence of the salt. 00:07:53.620 --> 00:07:56.620 align:middle line:84% And here's the response to PA, a different cell, 00:07:56.620 --> 00:07:58.570 align:middle line:90% a different shaped spike. 00:07:58.570 --> 00:08:00.820 align:middle line:84% But each one of these little spikes 00:08:00.820 --> 00:08:04.720 align:middle line:84% represents a nerve impulse on their taste cell. 00:08:04.720 --> 00:08:07.150 align:middle line:84% So we can determine which cell's which 00:08:07.150 --> 00:08:09.760 align:middle line:84% by the shape and size of these spikes, 00:08:09.760 --> 00:08:12.460 align:middle line:84% and eventually work out which cells 00:08:12.460 --> 00:08:15.820 align:middle line:84% are responding to which things, and how sensitive, or specific 00:08:15.820 --> 00:08:17.050 align:middle line:90% they are. 00:08:17.050 --> 00:08:20.497 align:middle line:84% Anyway, it's rather handy that the PA cell 00:08:20.497 --> 00:08:22.330 align:middle line:84% has these great, big spikes because it makes 00:08:22.330 --> 00:08:25.030 align:middle line:90% it nice and easy to identify. 00:08:25.030 --> 00:08:29.660 align:middle line:84% And as I said, extremely sensitive. 00:08:29.660 --> 00:08:31.520 align:middle line:90% Now going back to the behavior. 00:08:31.520 --> 00:08:33.980 align:middle line:84% Although the PA plants are always accepted initially, 00:08:33.980 --> 00:08:37.350 align:middle line:84% repeated encounters lead to rejection. 00:08:37.350 --> 00:08:39.620 align:middle line:90% So this is what you saw before. 00:08:39.620 --> 00:08:44.780 align:middle line:84% The PA plant's first encounter, always accepted 100%. 00:08:44.780 --> 00:08:47.810 align:middle line:90% The other plants varied. 00:08:47.810 --> 00:08:50.870 align:middle line:84% But when you look at later encounters, 00:08:50.870 --> 00:08:52.160 align:middle line:90% this starts dropping. 00:08:52.160 --> 00:08:56.240 align:middle line:84% They stop wanting it anymore, whereas the pattern is rather 00:08:56.240 --> 00:08:57.530 align:middle line:90% variable with other plants. 00:08:57.530 --> 00:09:01.430 align:middle line:84% But the PA plants you'd think, jeez, they want all this stuff. 00:09:01.430 --> 00:09:02.750 align:middle line:90% It's so important for them. 00:09:02.750 --> 00:09:04.670 align:middle line:84% They should stay there, but they don't. 00:09:04.670 --> 00:09:06.500 align:middle line:84% And after a while, they leave those plants. 00:09:06.500 --> 00:09:08.690 align:middle line:84% So one of the things that interested us was, 00:09:08.690 --> 00:09:10.370 align:middle line:84% why did they leave these plants when 00:09:10.370 --> 00:09:11.795 align:middle line:90% they need this stuff so much? 00:09:11.795 --> 00:09:13.970 align:middle line:84% It's so important in their lives. 00:09:13.970 --> 00:09:17.900 align:middle line:84% That was one of the reasons why we studied it. 00:09:17.900 --> 00:09:19.520 align:middle line:84% Well, we fed them on the PA plants 00:09:19.520 --> 00:09:22.670 align:middle line:84% for different periods of time, and looked at the response 00:09:22.670 --> 00:09:24.770 align:middle line:90% of those PA cells. 00:09:24.770 --> 00:09:27.610 align:middle line:84% And you see, here you are at the beginning. 00:09:27.610 --> 00:09:34.130 align:middle line:84% We're getting 40 spikes per half second. 00:09:34.130 --> 00:09:36.620 align:middle line:84% But if they fed on these PA plants for a while, 00:09:36.620 --> 00:09:37.440 align:middle line:90% it goes way down. 00:09:37.440 --> 00:09:40.040 align:middle line:84% And some insects, there's nothing left at all. 00:09:40.040 --> 00:09:42.350 align:middle line:84% Insects, they just stop responding. 00:09:42.350 --> 00:09:44.480 align:middle line:84% We don't get that kind of thing in humans. 00:09:44.480 --> 00:09:46.790 align:middle line:84% Your taste cells are more or less constant. 00:09:46.790 --> 00:09:49.940 align:middle line:84% They do what they're supposed to do whatever you eat. 00:09:49.940 --> 00:09:53.180 align:middle line:84% But in these caterpillars, if they eat a lot of PA plants, 00:09:53.180 --> 00:09:56.510 align:middle line:90% the PA cell stops responding. 00:09:56.510 --> 00:09:58.130 align:middle line:90% With Lavender. 00:09:58.130 --> 00:09:59.990 align:middle line:84% Isn't there a smell difference there? 00:09:59.990 --> 00:10:03.370 align:middle line:84% Well, you do get used to smells and stop responding to smells. 00:10:03.370 --> 00:10:04.250 align:middle line:90% [INAUDIBLE] smell. 00:10:04.250 --> 00:10:07.170 align:middle line:84% Yeah, in a lot of cases, that's true. 00:10:07.170 --> 00:10:09.890 align:middle line:84% But it usually doesn't happen with your taste buds. 00:10:09.890 --> 00:10:13.160 align:middle line:84% It happens with your smell that you get used to a smell 00:10:13.160 --> 00:10:14.630 align:middle line:90% and stop responding. 00:10:14.630 --> 00:10:17.990 align:middle line:84% And anyway, when you stop responding to a smell, 00:10:17.990 --> 00:10:19.640 align:middle line:90% it's a short-lived thing. 00:10:19.640 --> 00:10:23.120 align:middle line:84% You get fresh air again, and you immediately smell it again. 00:10:23.120 --> 00:10:25.055 align:middle line:84% Of course, this lasts quite a long time. 00:10:25.055 --> 00:10:26.015 align:middle line:90% It lasts for hours. 00:10:26.015 --> 00:10:29.645 align:middle line:90% 00:10:29.645 --> 00:10:37.100 align:middle line:84% What we did was we injected PAs into the caterpillar's 00:10:37.100 --> 00:10:40.400 align:middle line:84% bloodstream, and found that it shed off those taste 00:10:40.400 --> 00:10:44.000 align:middle line:90% cells in the same way. 00:10:44.000 --> 00:10:44.840 align:middle line:90% Here we are. 00:10:44.840 --> 00:10:51.950 align:middle line:90% Over 40 spikes per half second. 00:10:51.950 --> 00:10:55.340 align:middle line:84% And if you inject them with just a plain saline, 00:10:55.340 --> 00:10:57.450 align:middle line:90% it doesn't change over time. 00:10:57.450 --> 00:11:01.940 align:middle line:84% But if you inject them with the PAs, the response falls off, 00:11:01.940 --> 00:11:03.725 align:middle line:84% and it lasts for a couple of hours. 00:11:03.725 --> 00:11:06.950 align:middle line:90% 00:11:06.950 --> 00:11:11.570 align:middle line:84% What's interesting about this is that when they feed on the PA 00:11:11.570 --> 00:11:14.450 align:middle line:84% plants, these PAs are in the bloodstream 00:11:14.450 --> 00:11:18.770 align:middle line:84% and clearly has some kind of feedback on the taste cells 00:11:18.770 --> 00:11:20.330 align:middle line:90% that stops them responding. 00:11:20.330 --> 00:11:23.320 align:middle line:90% 00:11:23.320 --> 00:11:27.760 align:middle line:84% We injected the amounts of PAs that 00:11:27.760 --> 00:11:29.860 align:middle line:84% reflected exactly what happened naturally. 00:11:29.860 --> 00:11:33.220 align:middle line:84% So you analyze the blood, find out the amount of PA 00:11:33.220 --> 00:11:35.650 align:middle line:84% in the blood, and then you inject that amount of PA 00:11:35.650 --> 00:11:37.180 align:middle line:84% in the blood for these experiments. 00:11:37.180 --> 00:11:39.880 align:middle line:84% So it required quite a lot of preliminary work 00:11:39.880 --> 00:11:46.110 align:middle line:84% to actually get it into a biologically reasonable amount. 00:11:46.110 --> 00:11:47.000 align:middle line:90%