1 00:00:03,080 --> 00:00:05,960 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:05,960 --> 00:00:14,440 Speaker 1: Works dot com. Hey, wasn't the stuff to well your mind? 3 00:00:14,440 --> 00:00:16,759 Speaker 1: My name is Robert Lamb and I'm Julie Deklas, And 4 00:00:16,760 --> 00:00:19,239 Speaker 1: on this podcast we discussed a lot of topics that 5 00:00:19,320 --> 00:00:22,159 Speaker 1: get down to the heart of what we are, What 6 00:00:22,320 --> 00:00:25,079 Speaker 1: are we as human beings? And who is who is 7 00:00:25,160 --> 00:00:27,240 Speaker 1: the we in that sentence? Who is the I in 8 00:00:27,280 --> 00:00:29,160 Speaker 1: any different sentence? You know, we do a lot of 9 00:00:29,280 --> 00:00:32,840 Speaker 1: naval gazing, and we have a nice naval gaze only 10 00:00:33,080 --> 00:00:36,360 Speaker 1: topic for you today because it does get down to 11 00:00:36,440 --> 00:00:38,800 Speaker 1: the heart of what are we? What are we really 12 00:00:38,840 --> 00:00:42,000 Speaker 1: and and of the the hypothesis that we're looking at 13 00:00:42,000 --> 00:00:45,400 Speaker 1: in this episode hold true. Uh, the answer is is 14 00:00:45,760 --> 00:00:48,400 Speaker 1: far different than what we have thought, even in the 15 00:00:48,520 --> 00:00:50,920 Speaker 1: very recent past. Yeah, because we have talked about the 16 00:00:51,040 --> 00:00:54,080 Speaker 1: role of the microbiota in the past here, but now 17 00:00:54,080 --> 00:00:57,440 Speaker 1: we're gonna talk about something called the hola genome actually 18 00:00:57,440 --> 00:01:01,160 Speaker 1: just hollo genome um that furthert the idea that we 19 00:01:01,240 --> 00:01:03,440 Speaker 1: are all just sort of like skin wrappers and there's 20 00:01:03,480 --> 00:01:08,480 Speaker 1: a punch going on um that determines our biological and 21 00:01:08,520 --> 00:01:11,360 Speaker 1: in some ways are our mental fates um. And it's 22 00:01:11,400 --> 00:01:13,840 Speaker 1: not just genes here. So that's the big story with 23 00:01:13,880 --> 00:01:17,119 Speaker 1: the hologenium. Yes, and that skin wrapper description is pretty 24 00:01:17,200 --> 00:01:20,080 Speaker 1: accurate because when you get down to the cells in 25 00:01:20,120 --> 00:01:21,800 Speaker 1: our body, the gens and our body, it all adds 26 00:01:21,840 --> 00:01:24,480 Speaker 1: up to about ten of us. Yeah, because we're out 27 00:01:24,560 --> 00:01:27,320 Speaker 1: number ten to one by these bacterial cells. So there's 28 00:01:27,480 --> 00:01:30,880 Speaker 1: so much more going on um at the surface and below. 29 00:01:31,080 --> 00:01:34,880 Speaker 1: And in fact, there's this idea that evolution itself may 30 00:01:34,920 --> 00:01:38,640 Speaker 1: be driven by bacteria, which would make sense, I mean, 31 00:01:38,720 --> 00:01:41,080 Speaker 1: just on a very basic level, because again, ten percent, 32 00:01:41,240 --> 00:01:44,120 Speaker 1: only ten percent of us is us And that's a 33 00:01:44,200 --> 00:01:47,840 Speaker 1: ridiculous sentence to to make because then as we evolve, 34 00:01:48,400 --> 00:01:51,400 Speaker 1: then surely, I mean, then that other n has at 35 00:01:51,480 --> 00:01:54,280 Speaker 1: least some sort of voting rights, if not equal voting rights, 36 00:01:54,280 --> 00:01:55,760 Speaker 1: then at least some sort of voting rights. It would 37 00:01:55,800 --> 00:01:58,080 Speaker 1: just stand to reason, right, it would stand to reason. 38 00:01:58,160 --> 00:02:00,640 Speaker 1: But let's talk about what the micro biome, which is 39 00:02:00,680 --> 00:02:03,320 Speaker 1: made up of all this differing bacteria, has been up 40 00:02:03,360 --> 00:02:05,880 Speaker 1: to and do a quick little recap of the microbiome 41 00:02:05,920 --> 00:02:09,200 Speaker 1: project UM. This was funded by the National Institute of Health. 42 00:02:09,280 --> 00:02:13,080 Speaker 1: We're talking about two scientists, eighty institutions around the world 43 00:02:13,560 --> 00:02:17,160 Speaker 1: that sequenced the genetic material of bacteria, taking from two 44 00:02:17,320 --> 00:02:20,600 Speaker 1: d fifty people eleven thousand samples that came out of this, 45 00:02:21,120 --> 00:02:24,480 Speaker 1: and what we found out is that each human contains 46 00:02:24,560 --> 00:02:27,960 Speaker 1: up to eight million bacterial genes in contrast to just 47 00:02:28,120 --> 00:02:32,960 Speaker 1: twenty two thousand human genes. So again outnumbered, outnumbered. And 48 00:02:33,360 --> 00:02:36,600 Speaker 1: this is according to Michael Pollen in his article some 49 00:02:36,639 --> 00:02:40,000 Speaker 1: of My Best Friends are germs, he said that bacteria 50 00:02:40,040 --> 00:02:43,440 Speaker 1: can swap jeans and pieces of DNA with itself. This 51 00:02:43,520 --> 00:02:46,320 Speaker 1: is so crazy to me. Um he says, it's an 52 00:02:46,360 --> 00:02:51,400 Speaker 1: incredibly important adaptation that allows a microbiota which could be 53 00:02:51,440 --> 00:02:53,720 Speaker 1: exposed to a toxin or a new food, to swiftly 54 00:02:53,760 --> 00:02:57,000 Speaker 1: come up with precisely the right genes needed to fight 55 00:02:57,120 --> 00:03:00,280 Speaker 1: something or eat it. So we you've talked about this 56 00:03:00,280 --> 00:03:03,320 Speaker 1: is actually a lot in the past that the gut bacteria, 57 00:03:03,600 --> 00:03:06,760 Speaker 1: you know, without it, we just couldn't exist. It's breaking 58 00:03:06,760 --> 00:03:09,040 Speaker 1: down food for us. It's allowing us to get the 59 00:03:09,120 --> 00:03:11,880 Speaker 1: nutrients out of it and also to take the stuff 60 00:03:11,919 --> 00:03:15,120 Speaker 1: that's a little dicey in jettis in it. Yeah, and 61 00:03:15,520 --> 00:03:19,200 Speaker 1: at the very least we have an extremely symbiotic relationship 62 00:03:19,240 --> 00:03:22,120 Speaker 1: with all of this bacteria that in the same way 63 00:03:22,120 --> 00:03:25,519 Speaker 1: that that we depend on on fire and cooking to 64 00:03:25,840 --> 00:03:28,840 Speaker 1: externalize part of our digestion. We've also in effect brought 65 00:03:28,840 --> 00:03:32,639 Speaker 1: in outside workers to help with the with the digestion 66 00:03:32,680 --> 00:03:35,240 Speaker 1: of the food. So it's a so so Yeah, it 67 00:03:35,320 --> 00:03:39,320 Speaker 1: has this huge effect on our ability to actually consume 68 00:03:39,360 --> 00:03:42,000 Speaker 1: the nutrients we need to survive. Yeah. And we also 69 00:03:42,040 --> 00:03:47,000 Speaker 1: have talked about how newborns are slathered in a new 70 00:03:47,080 --> 00:03:52,160 Speaker 1: sort of microbiome for themselves via vaginal births, but it 71 00:03:52,200 --> 00:03:56,360 Speaker 1: turns out that the bacterial life of newborns are actually 72 00:03:56,440 --> 00:04:00,680 Speaker 1: seated before they're even ejected out into the world. Wow. 73 00:04:00,720 --> 00:04:02,760 Speaker 1: So even before they get to go through the birth 74 00:04:02,760 --> 00:04:04,640 Speaker 1: canal and just pick up all these new and exciting 75 00:04:04,640 --> 00:04:06,800 Speaker 1: bacteria to become a part of who they are, they 76 00:04:06,800 --> 00:04:11,040 Speaker 1: are they are already to use. Like a prior way 77 00:04:11,160 --> 00:04:12,680 Speaker 1: of of looking at it, you would say that they're 78 00:04:12,680 --> 00:04:16,880 Speaker 1: already infected, they're already tainted by the bacteria. But but 79 00:04:16,960 --> 00:04:19,400 Speaker 1: as we're discussing in this episode, it's it's wrong to 80 00:04:19,400 --> 00:04:21,599 Speaker 1: even think of it in terms of of of a 81 00:04:21,680 --> 00:04:25,200 Speaker 1: taint or a staining of the of the individual, because 82 00:04:25,240 --> 00:04:28,279 Speaker 1: there isn't really this pure, pristine individual. I mean, you 83 00:04:28,279 --> 00:04:31,760 Speaker 1: can do that. You can remove the micro biota from 84 00:04:31,800 --> 00:04:34,640 Speaker 1: a from an individual's member of a species, from an 85 00:04:34,640 --> 00:04:38,920 Speaker 1: individual organism, but with often dire results. Right. I think 86 00:04:38,920 --> 00:04:40,599 Speaker 1: the old view in the past was that any sort 87 00:04:40,640 --> 00:04:42,720 Speaker 1: of bacteria is bad. But now we've come from our 88 00:04:42,800 --> 00:04:45,680 Speaker 1: understanding of it, and it is really interesting to know 89 00:04:45,920 --> 00:04:49,680 Speaker 1: that a fetus is being seated via the placenta or 90 00:04:50,000 --> 00:04:53,520 Speaker 1: the cord blood, because you know that gives us this 91 00:04:53,560 --> 00:04:56,680 Speaker 1: idea that you cannot be separate from it, You cannot 92 00:04:56,680 --> 00:05:01,240 Speaker 1: be this pristine individual who is born completely germ free, 93 00:05:01,680 --> 00:05:04,479 Speaker 1: that this is part imparcel of us. In fact, Joseph 94 00:05:04,520 --> 00:05:07,200 Speaker 1: Knew he is a University of Florida pediatrician. He actually 95 00:05:07,480 --> 00:05:10,839 Speaker 1: examined the first stools out of infants that were just 96 00:05:11,000 --> 00:05:14,720 Speaker 1: born and found that yes, indeed, uh their guts had 97 00:05:14,800 --> 00:05:18,520 Speaker 1: been active and had been seated to create all these 98 00:05:18,520 --> 00:05:21,839 Speaker 1: different bacteria that he found in their stools. And he 99 00:05:21,920 --> 00:05:25,440 Speaker 1: said that we might provide mothers with a microbial cocktail. 100 00:05:25,480 --> 00:05:28,400 Speaker 1: This is his idea that it's so important that we 101 00:05:28,480 --> 00:05:30,440 Speaker 1: may be able in the in the future to give 102 00:05:30,560 --> 00:05:34,560 Speaker 1: mothers who are just dating some sort of microbial cocktail 103 00:05:34,600 --> 00:05:37,880 Speaker 1: that would really help to ensure that that infant was 104 00:05:37,960 --> 00:05:42,680 Speaker 1: born with the optimal bacterial profile. Wow. Yeah, I keep 105 00:05:42,680 --> 00:05:44,880 Speaker 1: coming back in my mind as of reading about this 106 00:05:45,000 --> 00:05:49,800 Speaker 1: topic to a new ship constructed in a shipyard. And 107 00:05:49,800 --> 00:05:52,000 Speaker 1: then when it's time to put that ship out the sea, 108 00:05:52,720 --> 00:05:55,440 Speaker 1: you can't just slide it out and let it float 109 00:05:55,480 --> 00:05:57,440 Speaker 1: off to nowhere. It's got to have a croup. It 110 00:05:57,480 --> 00:06:00,560 Speaker 1: has to have uh, individuals aboard the ship to make 111 00:06:00,600 --> 00:06:04,480 Speaker 1: it function, to to to make it seaworthy. And then 112 00:06:04,520 --> 00:06:06,520 Speaker 1: over time, of course you're gonna have rats and stow 113 00:06:06,520 --> 00:06:09,400 Speaker 1: aways living on it as well, or or you know, 114 00:06:09,480 --> 00:06:12,880 Speaker 1: luxurious passengers who don't actually contribute to the overall health 115 00:06:12,880 --> 00:06:15,680 Speaker 1: of the ship at least in any way. That that that, 116 00:06:15,920 --> 00:06:18,880 Speaker 1: you know, the people of shoveling coal would understand. But 117 00:06:18,880 --> 00:06:20,960 Speaker 1: but but certainly you have to have at least a 118 00:06:21,000 --> 00:06:23,880 Speaker 1: skeleton crew when it rolls out into the water. I 119 00:06:23,920 --> 00:06:25,719 Speaker 1: like that. I like that idea that I've got a 120 00:06:25,760 --> 00:06:28,320 Speaker 1: crew inside of me right now. Yeah, it's like you're 121 00:06:28,400 --> 00:06:33,200 Speaker 1: the starship Julie, and you have a certain um microbacterial 122 00:06:33,279 --> 00:06:36,320 Speaker 1: crew that is in effect kind of running the show. 123 00:06:36,360 --> 00:06:37,640 Speaker 1: I mean, with some certain you know, it's like the 124 00:06:37,640 --> 00:06:39,720 Speaker 1: Star Trek Enterprise there's a computer system that's doing other 125 00:06:39,720 --> 00:06:42,039 Speaker 1: stuff that you have the genes, you have, you have 126 00:06:42,120 --> 00:06:46,160 Speaker 1: the cells, but then you have also this rich, uh 127 00:06:46,520 --> 00:06:51,240 Speaker 1: diverse alien crew that is making everything function at optimal levels. 128 00:06:51,720 --> 00:06:53,760 Speaker 1: I was thinking more like I was a rap star 129 00:06:55,440 --> 00:06:58,880 Speaker 1: rolling in with your crew. Yeah, yeah, okay, well that's 130 00:06:58,880 --> 00:07:03,599 Speaker 1: good then, all right, so how could bacteria inform evolution? 131 00:07:03,800 --> 00:07:05,719 Speaker 1: Let's take a quick break, and when we get back 132 00:07:05,760 --> 00:07:17,000 Speaker 1: we will dive into that. All right, we're back, we are, 133 00:07:17,240 --> 00:07:19,080 Speaker 1: and we are going to talk about the case of 134 00:07:19,120 --> 00:07:22,280 Speaker 1: the parasitic wasp in order to get into this material 135 00:07:22,840 --> 00:07:27,800 Speaker 1: about gut bacteria specifically and how it might be driving sea. 136 00:07:28,040 --> 00:07:31,360 Speaker 1: But first, yes, we're talking about the process by which 137 00:07:31,360 --> 00:07:35,080 Speaker 1: news species evolved. When we've all seen seen trees of 138 00:07:35,080 --> 00:07:39,520 Speaker 1: of of different organisms of branching out, you have one 139 00:07:39,600 --> 00:07:42,200 Speaker 1: life form and then it ends up dirty into two 140 00:07:42,240 --> 00:07:44,600 Speaker 1: separate life forms and they stem from each other and 141 00:07:44,600 --> 00:07:48,920 Speaker 1: it becomes this grand tree of evolution spreading across millions 142 00:07:48,920 --> 00:07:51,280 Speaker 1: of years. But how does that break up occur? How 143 00:07:51,280 --> 00:07:54,560 Speaker 1: does how does that that divide happened between this species 144 00:07:54,560 --> 00:07:56,560 Speaker 1: and that. Yeah, and that's what we're going to get into, 145 00:07:56,720 --> 00:07:58,920 Speaker 1: and um, you know, we're what we are talking about 146 00:07:58,960 --> 00:08:02,800 Speaker 1: is a particular species, these that developed different genetic characteristics 147 00:08:02,800 --> 00:08:04,679 Speaker 1: to the point where they cannot mate with the original 148 00:08:04,720 --> 00:08:07,880 Speaker 1: species and producer fertile offspring. So a good example of 149 00:08:07,920 --> 00:08:11,480 Speaker 1: this are horses and donkeys. Right, they descended from a 150 00:08:11,480 --> 00:08:16,200 Speaker 1: common ancestor, but their genetic makeup diverged in their offspring. 151 00:08:16,200 --> 00:08:18,320 Speaker 1: A mule isn't fertile. So what I talk about in 152 00:08:18,320 --> 00:08:21,520 Speaker 1: Assonia wasps, Well, it turns out that there are four 153 00:08:21,840 --> 00:08:27,480 Speaker 1: very closely related species in it, and when these species interbreed, 154 00:08:27,520 --> 00:08:31,200 Speaker 1: they make what's called a hybrid. And sometimes these hybrids die. 155 00:08:31,760 --> 00:08:35,680 Speaker 1: So the question becomes why do hybrids die between closely 156 00:08:35,720 --> 00:08:39,920 Speaker 1: related species? And to try to answer this, Seth Bordenstein, 157 00:08:40,000 --> 00:08:43,000 Speaker 1: he's a co author of research on microbiota and speciation. 158 00:08:43,720 --> 00:08:48,960 Speaker 1: UM looked at these wasps and tested a hypothesis that 159 00:08:49,480 --> 00:08:52,600 Speaker 1: a new species of animal can arise through changes in 160 00:08:52,840 --> 00:08:58,240 Speaker 1: gut bacteria or the gut microbiome, which is amazing sort 161 00:08:58,240 --> 00:09:01,840 Speaker 1: of new lens to look at this whole idea of evolution. Yeah, 162 00:09:01,960 --> 00:09:03,680 Speaker 1: like his breakthrough here with that if you if you 163 00:09:03,720 --> 00:09:07,800 Speaker 1: remove the microbiome from the equation with these wasps, then 164 00:09:08,040 --> 00:09:12,400 Speaker 1: the hybrid offspring will survive to a certain extent, it 165 00:09:12,800 --> 00:09:14,760 Speaker 1: is supposed to just being doomed from the get go. 166 00:09:15,360 --> 00:09:18,400 Speaker 1: So it's showing that it's not just the genetics at play, 167 00:09:18,480 --> 00:09:22,240 Speaker 1: it's also the microbiomes of each species. So even though 168 00:09:22,320 --> 00:09:25,000 Speaker 1: they're it's kind of like with with two individuals, it's like, well, 169 00:09:25,040 --> 00:09:29,360 Speaker 1: they're physically compatible, but then they have no emotional compatibility, 170 00:09:29,440 --> 00:09:31,480 Speaker 1: you know, etcetera. There, you know, any number of examples 171 00:09:31,559 --> 00:09:33,439 Speaker 1: you can, you can, you can make up with people 172 00:09:33,440 --> 00:09:35,600 Speaker 1: where on one level everything lines up, but on another 173 00:09:35,640 --> 00:09:38,520 Speaker 1: more important level, they don't. And and here for these uh, 174 00:09:38,679 --> 00:09:41,760 Speaker 1: these two species to really successfully breed and produce a 175 00:09:41,880 --> 00:09:45,320 Speaker 1: viable offspring, not only did the genetics have to be 176 00:09:45,520 --> 00:09:49,880 Speaker 1: uh at least interlockable, but also the microbiome, which is, 177 00:09:49,960 --> 00:09:52,560 Speaker 1: you know, pretty big news because we're talking about the 178 00:09:52,600 --> 00:09:55,880 Speaker 1: diet and talking about the crew that occupies the ship 179 00:09:56,440 --> 00:09:59,360 Speaker 1: and uh, and you can't necessarily combine the cruise without 180 00:09:59,360 --> 00:10:01,920 Speaker 1: there being a lot of unrest. I think there's a 181 00:10:01,920 --> 00:10:04,880 Speaker 1: whole Battlestar Galactica episode about that. I think so. And 182 00:10:05,120 --> 00:10:09,120 Speaker 1: you know, let's talk about cruise rolling too, right, one 183 00:10:09,120 --> 00:10:12,080 Speaker 1: crew rolling against another Exactly, there's gonna be uh, there's 184 00:10:12,080 --> 00:10:14,800 Speaker 1: gonna be unrest, there's gonna be mischief, all right. So 185 00:10:15,040 --> 00:10:18,480 Speaker 1: this leads this idea of the holo genome. So what 186 00:10:18,600 --> 00:10:22,280 Speaker 1: is the hologenome. It's basically made up of um, you know, 187 00:10:22,360 --> 00:10:26,800 Speaker 1: within the organism a cell's mitochondria, the cells DNA along 188 00:10:26,840 --> 00:10:30,880 Speaker 1: with microbiota, and Richard Jefferson and Eugene Rosenberg they came 189 00:10:30,960 --> 00:10:34,000 Speaker 1: up with the description of this theory. And Rosenberg actually 190 00:10:34,000 --> 00:10:37,440 Speaker 1: stumbled upon a nine paper by Diane Dodge, who was 191 00:10:37,480 --> 00:10:40,760 Speaker 1: then a post doc at Yale University, and she found 192 00:10:40,800 --> 00:10:42,920 Speaker 1: that changing the diet of a fruit fly could alter 193 00:10:43,000 --> 00:10:46,920 Speaker 1: the flies mating choices after just two generations, which made 194 00:10:47,000 --> 00:10:49,080 Speaker 1: Rosenberg kind of scratched his head and wonder if he 195 00:10:49,080 --> 00:10:51,080 Speaker 1: could do the same thing in his lap. Yeah, So 196 00:10:51,080 --> 00:10:53,080 Speaker 1: basically his findings for it. If you take take this 197 00:10:53,240 --> 00:10:56,480 Speaker 1: single species, you split them into two different populations, you've 198 00:10:56,520 --> 00:11:00,160 Speaker 1: given each and individual diet, then the microbiome is going 199 00:11:00,200 --> 00:11:03,200 Speaker 1: to change, and eventually these individuals are going to they're 200 00:11:03,240 --> 00:11:05,760 Speaker 1: gonna no longer be compatible with each other. Yeah, that's right. 201 00:11:05,840 --> 00:11:07,920 Speaker 1: What they did is they took the single species that 202 00:11:08,000 --> 00:11:09,760 Speaker 1: they split and they give me two different types. They 203 00:11:09,800 --> 00:11:12,520 Speaker 1: brought them back together, and they found that they would 204 00:11:12,520 --> 00:11:16,120 Speaker 1: not mate with each other because they then had different 205 00:11:16,160 --> 00:11:20,959 Speaker 1: gut microbiomes. So that brings up this question of why 206 00:11:21,000 --> 00:11:24,520 Speaker 1: I kino as a vegetarian. If I start eating big Max, 207 00:11:25,280 --> 00:11:27,760 Speaker 1: is my husband going to back away from me because 208 00:11:27,800 --> 00:11:30,880 Speaker 1: you are both vegetarians. We're both vegetarians. If I change 209 00:11:30,920 --> 00:11:33,480 Speaker 1: my gut bacteria and I don't tell him, let's just 210 00:11:33,520 --> 00:11:35,040 Speaker 1: say let's throw that in the mix. For a week, 211 00:11:35,080 --> 00:11:37,760 Speaker 1: I eat this, I don't tell them, Um, you know 212 00:11:37,840 --> 00:11:41,840 Speaker 1: my gut microbiome changes, will he begin to sort of 213 00:11:42,040 --> 00:11:45,120 Speaker 1: find excuses, you know, to get out of the house. 214 00:11:45,320 --> 00:11:48,400 Speaker 1: I have a feeling that if you eat like a 215 00:11:48,400 --> 00:11:50,760 Speaker 1: big mac a day for a week after being a 216 00:11:50,840 --> 00:11:55,120 Speaker 1: vegetarian all this time, he's going to know, because because 217 00:11:55,160 --> 00:11:58,280 Speaker 1: your body is going to going to let everyone know 218 00:11:58,600 --> 00:12:02,000 Speaker 1: that there's a problem. Well, it's it's true. I think 219 00:12:02,000 --> 00:12:04,040 Speaker 1: that there would be some really big signs um, and 220 00:12:04,040 --> 00:12:06,000 Speaker 1: I won't go into what those signs might be. But 221 00:12:06,040 --> 00:12:09,319 Speaker 1: Seth Borden's team was was faced with this very same question, 222 00:12:09,440 --> 00:12:12,480 Speaker 1: what if what humans did this um with with the 223 00:12:12,480 --> 00:12:14,640 Speaker 1: same sort of thing happened, And he said, well, probably not, 224 00:12:15,400 --> 00:12:17,920 Speaker 1: but we do know that microbes affect the way we smell, 225 00:12:17,960 --> 00:12:20,640 Speaker 1: and and if individuals choose to date or find that 226 00:12:20,720 --> 00:12:23,360 Speaker 1: partners based on their smell, then that is a form 227 00:12:23,360 --> 00:12:25,840 Speaker 1: of discrimination that's occurring. If it happens to the population 228 00:12:25,960 --> 00:12:28,160 Speaker 1: or species level, the new species will be arising. So well, 229 00:12:28,240 --> 00:12:30,839 Speaker 1: anything is possible in biology. I doubt that humans will 230 00:12:30,840 --> 00:12:33,599 Speaker 1: be splitting into different species, yeah, because I mean the 231 00:12:33,600 --> 00:12:36,240 Speaker 1: other thing is that humans have a lot of additional 232 00:12:36,280 --> 00:12:40,640 Speaker 1: complexity layered on top of their smell related choices, So 233 00:12:40,679 --> 00:12:42,800 Speaker 1: they're not just going to necessarily be like, oh, well 234 00:12:42,880 --> 00:12:45,920 Speaker 1: she's she's really interesting and uh and I'm very attracted 235 00:12:45,960 --> 00:12:48,480 Speaker 1: to her, but uh, you know, she she eats a 236 00:12:48,520 --> 00:12:51,320 Speaker 1: little more garlic than I would like or or I'm 237 00:12:51,679 --> 00:12:54,480 Speaker 1: you know, I'm a true vegetarian and she's a what's 238 00:12:54,480 --> 00:12:56,160 Speaker 1: the what is it of your vegetarian? But he eat 239 00:12:56,200 --> 00:13:01,800 Speaker 1: eggs your ovo lacto edgetarian? You know, guess or you're 240 00:13:01,840 --> 00:13:03,920 Speaker 1: not vegan? Yeah, I guess. You know that. I can 241 00:13:04,080 --> 00:13:06,840 Speaker 1: imagine that their varying degrees to which people are hardcore 242 00:13:06,920 --> 00:13:08,600 Speaker 1: enough about their diet where it would be a problem. 243 00:13:08,600 --> 00:13:10,720 Speaker 1: But I mean, I know people. I know one person 244 00:13:10,760 --> 00:13:13,840 Speaker 1: who is you know, pretty hardcore vegan and her husband's 245 00:13:13,880 --> 00:13:16,199 Speaker 1: not and they seem to get along. Fine, it happens, 246 00:13:16,200 --> 00:13:18,760 Speaker 1: you're right, there are examples, yeah and there, and they 247 00:13:18,800 --> 00:13:21,280 Speaker 1: have a child, so they're not like two different species, 248 00:13:21,400 --> 00:13:23,880 Speaker 1: and they can they can actually breed, So there you go. 249 00:13:24,120 --> 00:13:26,480 Speaker 1: It's true. Alright. So yeah, with humans, it's not acting 250 00:13:26,760 --> 00:13:29,840 Speaker 1: honest at that level. But it's fascinating to see these flies, 251 00:13:30,120 --> 00:13:34,240 Speaker 1: essentially the same species diverging from each other just based 252 00:13:34,240 --> 00:13:36,560 Speaker 1: on the gut bacteria. Now, of course we should mention 253 00:13:36,720 --> 00:13:39,880 Speaker 1: holo genome theory is a theory, and it's one that 254 00:13:39,960 --> 00:13:43,560 Speaker 1: people like to fight about, especially with evolutionary biologists, who 255 00:13:43,600 --> 00:13:47,520 Speaker 1: are not necessarily on board in all cases with this theory, 256 00:13:47,600 --> 00:13:49,800 Speaker 1: with this new way of looking, because evolutionary theory is 257 00:13:49,840 --> 00:13:53,400 Speaker 1: all about competition, survival the fittest, right, And we'll have 258 00:13:53,440 --> 00:13:55,040 Speaker 1: more on that in a minute. But the reason I 259 00:13:55,040 --> 00:13:57,680 Speaker 1: mentioned it here is that I was looking at a 260 00:13:57,720 --> 00:14:00,120 Speaker 1: study of involving killer whales, and this is a a 261 00:14:00,160 --> 00:14:03,360 Speaker 1: study that was connected by Andrew Foot and evolutionary biologists 262 00:14:03,360 --> 00:14:05,960 Speaker 1: of the University of Copenhagen. Now why is he looking 263 00:14:06,000 --> 00:14:10,480 Speaker 1: at at killer whales because he's interested in uh, sympathetic speciation. Okay, 264 00:14:10,520 --> 00:14:12,359 Speaker 1: now this is the idea that you have the speciation 265 00:14:12,360 --> 00:14:16,920 Speaker 1: we're talking about two. You have one particular organism, one species, 266 00:14:17,120 --> 00:14:20,320 Speaker 1: and over time it diverges into two. And uh. Killer 267 00:14:20,320 --> 00:14:23,040 Speaker 1: whales have been a particular interest to people because of 268 00:14:23,040 --> 00:14:27,120 Speaker 1: sympathetic speciation. This is occurring without a geographic barrier. They're 269 00:14:27,160 --> 00:14:29,680 Speaker 1: in the same area, but there you have just a 270 00:14:29,720 --> 00:14:32,360 Speaker 1: two different groups of the same species engaging in different 271 00:14:32,360 --> 00:14:35,440 Speaker 1: diets and UH, and then different behaviors to pursue that 272 00:14:35,480 --> 00:14:38,880 Speaker 1: particular prey animal. And then eventually the argument is they're 273 00:14:38,880 --> 00:14:40,880 Speaker 1: going to become two different species. And we see that 274 00:14:41,080 --> 00:14:44,640 Speaker 1: to a certain extents happening already with killer whale populations 275 00:14:44,880 --> 00:14:48,240 Speaker 1: in the North Pacific and Antarctic, where you have multiple 276 00:14:48,320 --> 00:14:52,240 Speaker 1: genetically distinct populations. They haven't been formally described as separate species, 277 00:14:52,640 --> 00:14:55,720 Speaker 1: but they pray they have different prey prefaces. So one group, 278 00:14:55,720 --> 00:14:58,520 Speaker 1: one pack of killer whales, they are mammal eaters. They're 279 00:14:58,520 --> 00:15:00,960 Speaker 1: eating the seals and that's all they eat, so they 280 00:15:00,960 --> 00:15:05,240 Speaker 1: have specific patterns for hunting those seals that they pass down. 281 00:15:05,560 --> 00:15:08,040 Speaker 1: And then you have another group that eat fish and 282 00:15:08,080 --> 00:15:11,760 Speaker 1: they have specific patterns for for pursuing those prey, and 283 00:15:11,840 --> 00:15:14,880 Speaker 1: these two packs do not intermingle, and they have different 284 00:15:14,880 --> 00:15:17,720 Speaker 1: ways their their communication is even a little different. So 285 00:15:17,760 --> 00:15:19,920 Speaker 1: they're they're arguably well on their way to becoming two 286 00:15:19,920 --> 00:15:22,880 Speaker 1: different species. So, um, it's a it's a possible example 287 00:15:23,280 --> 00:15:28,760 Speaker 1: of of this, uh, this holo genome effect on sei. Yeah, 288 00:15:28,760 --> 00:15:30,480 Speaker 1: it's interesting that you bring that up because it does 289 00:15:30,560 --> 00:15:33,440 Speaker 1: kind of mixed sort of our our more traditional views 290 00:15:33,480 --> 00:15:36,400 Speaker 1: a speciation, which sometimes have to do with populations being 291 00:15:36,480 --> 00:15:41,000 Speaker 1: isolated or not being isolated or just geographically in different areas, 292 00:15:41,120 --> 00:15:44,600 Speaker 1: and how that might affect um the species, and then 293 00:15:44,640 --> 00:15:47,160 Speaker 1: you have the diet in that mix as well. Yeah, 294 00:15:47,160 --> 00:15:48,800 Speaker 1: now I want to I just want to mention this 295 00:15:48,880 --> 00:15:51,840 Speaker 1: is a two thousand and thirteen study just from August 296 00:15:52,120 --> 00:15:54,160 Speaker 1: and Food again as an evolution Biotyes, so he's not 297 00:15:54,200 --> 00:15:56,840 Speaker 1: pursuing this, uh, this holo genome theory as as an 298 00:15:56,840 --> 00:15:59,600 Speaker 1: explanation for what's happening with the killer whales. But but 299 00:15:59,640 --> 00:16:01,840 Speaker 1: I feel like it's a very strong possibility here because 300 00:16:01,880 --> 00:16:06,840 Speaker 1: we're looking at diet effects in a given population. Yeah, 301 00:16:06,880 --> 00:16:09,760 Speaker 1: so that's that makes a very interesting case there. Um, Well, 302 00:16:09,800 --> 00:16:11,960 Speaker 1: let's take another quick break and when we get back. 303 00:16:12,000 --> 00:16:14,800 Speaker 1: We are going to look more at the criticism leveled 304 00:16:14,840 --> 00:16:17,600 Speaker 1: here at the hologenae theory and how it might or 305 00:16:17,680 --> 00:16:28,560 Speaker 1: might not square with evolution. All right, we're back again. 306 00:16:28,600 --> 00:16:31,600 Speaker 1: We're talking about the holo genome. We're talking about looking 307 00:16:31,720 --> 00:16:37,400 Speaker 1: at the aggregate genome of an organism. We're looking at SELLS, mitochondria, sells, DNA, microbiome, 308 00:16:37,680 --> 00:16:40,200 Speaker 1: all of it together, and the to to basically constitute 309 00:16:40,240 --> 00:16:44,640 Speaker 1: the total genome of a particular organism. Yeah, in the 310 00:16:44,680 --> 00:16:48,440 Speaker 1: hologena Again, this is a very new concept. Um. You know, 311 00:16:48,600 --> 00:16:51,920 Speaker 1: Jefferson Rosenberg and to some degree Diane's do they all 312 00:16:52,080 --> 00:16:55,480 Speaker 1: contributed to this idea. Then you have Seth board and 313 00:16:55,520 --> 00:16:57,320 Speaker 1: seem really sort of trying to run with it a 314 00:16:57,360 --> 00:16:59,960 Speaker 1: bit more. Um. And I did want to point out 315 00:17:00,040 --> 00:17:03,760 Speaker 1: that Seth Boordenstein really engages people on this topic quite 316 00:17:03,760 --> 00:17:05,919 Speaker 1: a bit. He does this through his blog which is 317 00:17:05,960 --> 00:17:09,679 Speaker 1: called Symbiontisum, and he also does it through his Twitter 318 00:17:09,720 --> 00:17:15,160 Speaker 1: feed and hologeno hashtag hologenome of course, and I did 319 00:17:15,240 --> 00:17:17,560 Speaker 1: want to read a couple of things that he wrote. 320 00:17:17,680 --> 00:17:20,640 Speaker 1: Someone said, I'm not getting how hologenome is different than 321 00:17:20,800 --> 00:17:25,240 Speaker 1: co evolution systems with correlated inheritance, i e. Body lice, 322 00:17:25,680 --> 00:17:29,440 Speaker 1: and his his explanation was, because you can live without 323 00:17:29,480 --> 00:17:33,280 Speaker 1: parasites like lice, but you can't live without your microbiome. 324 00:17:33,640 --> 00:17:36,000 Speaker 1: So again he's making the case that this is part 325 00:17:36,080 --> 00:17:39,640 Speaker 1: imparcel of this sort of operating system that we have. 326 00:17:40,000 --> 00:17:43,159 Speaker 1: And just think back to Michael Pollan's example of how 327 00:17:43,560 --> 00:17:48,520 Speaker 1: some bacteria can swap d NA to respond to the environment. Yeah. Again, 328 00:17:48,560 --> 00:17:50,760 Speaker 1: the ship runs just fine without the rats, not so 329 00:17:50,880 --> 00:17:53,399 Speaker 1: much without the crew. Yeah. And you know, I was 330 00:17:53,400 --> 00:17:56,080 Speaker 1: thinking about this paired with epigenetics, and I will not 331 00:17:56,119 --> 00:17:57,760 Speaker 1: get into that, but you know, that's the idea that 332 00:17:57,800 --> 00:18:01,080 Speaker 1: you have this extra bit of information glommed on um 333 00:18:01,119 --> 00:18:05,440 Speaker 1: to your DNA, and you know, depending on what's going 334 00:18:05,480 --> 00:18:11,120 Speaker 1: on with the person's immune system or their external conditions 335 00:18:11,280 --> 00:18:15,280 Speaker 1: like famine for inst environment as their situation, uh, flipping 336 00:18:15,359 --> 00:18:18,880 Speaker 1: on or off individual games. Right, we're talking about generations 337 00:18:18,920 --> 00:18:21,600 Speaker 1: after that that are actually affected by that person's experience. 338 00:18:21,640 --> 00:18:24,840 Speaker 1: So nothing has cut and dried here. So back to evolution. 339 00:18:24,960 --> 00:18:28,280 Speaker 1: You know for us that has always seemed um, you know, 340 00:18:28,440 --> 00:18:31,360 Speaker 1: fairly straightforward at this point we're talking about variation, selection 341 00:18:31,400 --> 00:18:34,200 Speaker 1: and heredity. But now you do have this bacterial component, 342 00:18:34,280 --> 00:18:37,239 Speaker 1: or perhaps we have it, and I wanted to just 343 00:18:37,359 --> 00:18:40,679 Speaker 1: mention that there's there's one other little layer here in 344 00:18:40,720 --> 00:18:45,000 Speaker 1: the example of mice and how their brains develop, and 345 00:18:45,040 --> 00:18:47,320 Speaker 1: this is a two thousand and eleven experiment that showed 346 00:18:47,320 --> 00:18:50,040 Speaker 1: that mice need their gut flora for the brain to 347 00:18:50,200 --> 00:18:54,600 Speaker 1: really develop normally because germ free mice with no microbiotics, 348 00:18:54,800 --> 00:18:58,400 Speaker 1: ones that were removed showed severe deformities in their brain 349 00:18:58,480 --> 00:19:01,199 Speaker 1: structured and that ending hates that the brain and the 350 00:19:01,240 --> 00:19:06,720 Speaker 1: nervous system is dependent upon this proper gut microbiotic being 351 00:19:06,760 --> 00:19:08,720 Speaker 1: in place. Yeah, and that I mean that is obviously 352 00:19:08,800 --> 00:19:10,639 Speaker 1: huge because a lot of what we've talked about in 353 00:19:10,680 --> 00:19:12,359 Speaker 1: the past, just on the show, and a lot of 354 00:19:12,359 --> 00:19:15,200 Speaker 1: the information is generally out there. You know, it's easy 355 00:19:15,200 --> 00:19:17,120 Speaker 1: to get behind the idea, Oh, well, your gut back here. 356 00:19:17,119 --> 00:19:19,120 Speaker 1: It's good for you. It's good to have. It's good 357 00:19:19,160 --> 00:19:21,240 Speaker 1: to have around because it will help you digest, it 358 00:19:21,200 --> 00:19:23,719 Speaker 1: will help Yeah. Yeah, you know, you go on some 359 00:19:23,760 --> 00:19:26,359 Speaker 1: antibiotics for a U T I and then you you 360 00:19:26,480 --> 00:19:28,719 Speaker 1: end up taking a bunch of probiotics to sort of 361 00:19:28,880 --> 00:19:32,760 Speaker 1: balance the ship again. But but here we're seeing you know, 362 00:19:32,800 --> 00:19:37,720 Speaker 1: examples of severe brain deformities. So obviously it's not just 363 00:19:37,760 --> 00:19:41,720 Speaker 1: a matter of it's good to have, it's necessary to have. Yeah, 364 00:19:41,800 --> 00:19:43,760 Speaker 1: absolutely right. And then then the question is to what 365 00:19:43,920 --> 00:19:47,160 Speaker 1: extent is that you know inform other species of how 366 00:19:47,240 --> 00:19:50,480 Speaker 1: their brains and their gut bacteria work in tandem. So 367 00:19:50,600 --> 00:19:52,760 Speaker 1: again this gives us the idea that genes are not 368 00:19:53,000 --> 00:19:55,399 Speaker 1: the blueprint that we thought they were in the past. 369 00:19:55,520 --> 00:19:58,520 Speaker 1: And this is from science to point oh gerhard at him. 370 00:19:58,560 --> 00:20:01,440 Speaker 1: He said, whatever else we may think, it is clear 371 00:20:01,440 --> 00:20:04,200 Speaker 1: that viewing an organism and natural selection from the pure 372 00:20:04,240 --> 00:20:07,920 Speaker 1: perspective of genes is incomplete. Therefore, it may be more 373 00:20:07,960 --> 00:20:10,800 Speaker 1: precise to say that genes provide the basic environment, while 374 00:20:10,880 --> 00:20:15,160 Speaker 1: microbes manipulate and refined to produce a working ecosystem. As 375 00:20:15,160 --> 00:20:20,800 Speaker 1: a result, as goes their success, so goes ourship crew ownership. 376 00:20:21,280 --> 00:20:23,879 Speaker 1: But then you have someone like Andy Gardner of the 377 00:20:23,920 --> 00:20:27,320 Speaker 1: University of Oxford, and he sort of counterpoints us by saying, 378 00:20:27,960 --> 00:20:30,280 Speaker 1: I would be less inclined to bundle all these cells 379 00:20:30,320 --> 00:20:33,040 Speaker 1: together as a single integrated organism. And this is an 380 00:20:33,040 --> 00:20:35,760 Speaker 1: excellent point because sometimes the microbial cells will be doing 381 00:20:35,840 --> 00:20:40,080 Speaker 1: things that aren't good for the host. So yeah, we 382 00:20:40,160 --> 00:20:43,160 Speaker 1: see microbes in a new light in which we see 383 00:20:43,160 --> 00:20:45,200 Speaker 1: them in a more beneficial light. But it is true 384 00:20:45,320 --> 00:20:51,240 Speaker 1: that disease and illness are a result of bad bacteria, 385 00:20:51,680 --> 00:20:53,359 Speaker 1: not to call them bad or good, but yeah, but 386 00:20:53,400 --> 00:20:55,320 Speaker 1: of course the same thing can be said about genes, 387 00:20:55,359 --> 00:20:58,600 Speaker 1: that can be said about immune functions. There's it's a 388 00:20:58,680 --> 00:21:00,880 Speaker 1: it's a complicated chip, and there's a lot that can 389 00:21:00,920 --> 00:21:02,959 Speaker 1: go wrong, both in the hardware of the ship and 390 00:21:03,119 --> 00:21:07,400 Speaker 1: in the crew members, the stow aways, the rats, etcetera. Yeah, 391 00:21:07,440 --> 00:21:11,320 Speaker 1: and uh again, here we have boarding scene saying, look, 392 00:21:11,640 --> 00:21:13,920 Speaker 1: I don't know about this hologenome yet. Basically he's saying 393 00:21:13,960 --> 00:21:16,760 Speaker 1: dogma and linear thinking. It could also be wrong, but 394 00:21:16,800 --> 00:21:19,520 Speaker 1: a hypothesis is not wrong until tested. So it's out there. 395 00:21:19,680 --> 00:21:22,800 Speaker 1: It's out there for people's consideration. Um isn't going to 396 00:21:22,880 --> 00:21:26,120 Speaker 1: become the sort of you know, unified theory of everything 397 00:21:26,160 --> 00:21:28,160 Speaker 1: for the human body. We don't know, but I think 398 00:21:28,200 --> 00:21:32,160 Speaker 1: it definitely adds to the whole conversation of how our 399 00:21:32,200 --> 00:21:36,440 Speaker 1: bodies are actually responding to their environments, to their genetics, 400 00:21:37,119 --> 00:21:39,320 Speaker 1: to what we put in them. Yeah, and that's really 401 00:21:39,359 --> 00:21:41,800 Speaker 1: what these guys are pushing with the hologenome thing. And 402 00:21:41,880 --> 00:21:43,280 Speaker 1: they're not saying, all right, we have it. Here's the 403 00:21:43,280 --> 00:21:46,000 Speaker 1: answer to everything. They're saying, we think there's something to this. 404 00:21:46,119 --> 00:21:48,359 Speaker 1: We think this is a really important theory. We want 405 00:21:48,359 --> 00:21:52,600 Speaker 1: other people to explore this, uh in regards to other organisms, 406 00:21:52,720 --> 00:21:56,480 Speaker 1: other species, and of course the human body itself. You know, 407 00:21:56,680 --> 00:21:59,560 Speaker 1: I am participating in the u biome UM. This is 408 00:21:59,600 --> 00:22:03,280 Speaker 1: the sort A and UM science projects, and this week 409 00:22:03,320 --> 00:22:07,760 Speaker 1: I am shipping off my microbiotics samples. I can't wait, 410 00:22:07,960 --> 00:22:09,600 Speaker 1: going to get it back, going to find out what 411 00:22:09,680 --> 00:22:13,600 Speaker 1: my crew is doing there. Excellent, Ya in an envelope? 412 00:22:13,600 --> 00:22:17,960 Speaker 1: Is envelope? You just put it all in? UM? Yeah, 413 00:22:18,000 --> 00:22:20,520 Speaker 1: that's just basically it's just a couple of Q tips. 414 00:22:20,520 --> 00:22:23,480 Speaker 1: Now it's it's much more elaborate than that. And they 415 00:22:23,480 --> 00:22:25,879 Speaker 1: want to know obviously, like what your diet has consisted of, 416 00:22:25,920 --> 00:22:28,960 Speaker 1: and you report all of that along with the samples 417 00:22:28,960 --> 00:22:32,080 Speaker 1: that you provide. Excellent. Are you going to share the results? 418 00:22:32,240 --> 00:22:35,680 Speaker 1: I am yeah. Now, another criticism that some people level 419 00:22:35,680 --> 00:22:37,560 Speaker 1: with this is that it's just kind of a a 420 00:22:37,720 --> 00:22:41,920 Speaker 1: rehashed version of the Lamarchian model UM. And this, of course, 421 00:22:41,960 --> 00:22:44,720 Speaker 1: it goes back to nineteenth century Jean Baptiste Lamark, who 422 00:22:44,760 --> 00:22:48,280 Speaker 1: had this theory of evolution that incorporated the then popular 423 00:22:48,320 --> 00:22:51,160 Speaker 1: idea that organisms could pass on adaptive traits that they 424 00:22:51,200 --> 00:22:55,600 Speaker 1: acquired you're in their life times. The classic example of 425 00:22:55,640 --> 00:22:58,800 Speaker 1: this is a giraffe is trying to eat the leaves 426 00:22:58,800 --> 00:23:01,959 Speaker 1: of the top of the tree, restrains his neck, and 427 00:23:02,000 --> 00:23:05,600 Speaker 1: then the offspring that those giraffes have then has a 428 00:23:05,680 --> 00:23:10,800 Speaker 1: longer neck because the parent organisms strained their neck. It's 429 00:23:10,800 --> 00:23:12,879 Speaker 1: it's a little more involved than that, but it was 430 00:23:12,920 --> 00:23:14,840 Speaker 1: a popular theory for a while, and then came Darwin's 431 00:23:15,320 --> 00:23:18,960 Speaker 1: theory that is similar but a bit more nuanced and uh, 432 00:23:19,040 --> 00:23:22,560 Speaker 1: and then Lamarck faded into the background. It's true, although 433 00:23:22,640 --> 00:23:27,119 Speaker 1: Lamark has enjoyed a resurgence as of late. So you know, 434 00:23:27,240 --> 00:23:30,119 Speaker 1: to me, it's just reconsidering it, not reconsidering. You know, 435 00:23:30,160 --> 00:23:32,480 Speaker 1: evolution is saying, let's throughout the baby with the bathwater. 436 00:23:32,560 --> 00:23:36,359 Speaker 1: I think it's just saying what other things are going on? Yeah, 437 00:23:36,400 --> 00:23:38,600 Speaker 1: And I I also want to add that I think 438 00:23:38,720 --> 00:23:41,360 Speaker 1: understanding the hollo genome. Having a thorough understanding the halo 439 00:23:41,400 --> 00:23:43,479 Speaker 1: genome is of course what we're going to need if 440 00:23:43,480 --> 00:23:46,440 Speaker 1: we're gonna ever tell port people across the room or 441 00:23:46,440 --> 00:23:49,879 Speaker 1: across the planet, ordered another to another world. Right, because 442 00:23:51,080 --> 00:23:53,399 Speaker 1: because you've seen the fly, the whole deal there is oops, 443 00:23:53,400 --> 00:23:56,000 Speaker 1: he accidentally got his DNA splice with the fly d 444 00:23:56,119 --> 00:24:01,360 Speaker 1: n A and then monstrous consequences occur in Cronenberg's wonderful film. 445 00:24:01,400 --> 00:24:04,080 Speaker 1: And and even remember at an early age watching it 446 00:24:04,160 --> 00:24:07,000 Speaker 1: and knowing, well, you know, we have like, you know, 447 00:24:07,200 --> 00:24:09,840 Speaker 1: things living in our eyebrows, and then later on, well, 448 00:24:09,880 --> 00:24:11,320 Speaker 1: we have all these things living in our gut. And 449 00:24:11,320 --> 00:24:13,680 Speaker 1: then when you start looking at this, this this fact 450 00:24:13,720 --> 00:24:17,400 Speaker 1: that we are only ten percent of us, it really complicates. 451 00:24:17,440 --> 00:24:20,439 Speaker 1: You'd have to teleport not just this one organism, but 452 00:24:20,560 --> 00:24:22,880 Speaker 1: all of these organisms and have it all come out 453 00:24:22,880 --> 00:24:26,280 Speaker 1: on the other side completely intact and working order, without 454 00:24:26,280 --> 00:24:29,560 Speaker 1: any sailors, you know, stuck in sense in part of 455 00:24:29,600 --> 00:24:33,520 Speaker 1: the ship in the walls. It's right, you want you 456 00:24:33,600 --> 00:24:36,560 Speaker 1: want the ship to be fairly intact and not have 457 00:24:36,640 --> 00:24:39,880 Speaker 1: appendages sticking out. Ye now I'm drawing in other teleportation 458 00:24:40,000 --> 00:24:42,760 Speaker 1: sci fi films, but anyway, you get my point. It 459 00:24:42,880 --> 00:24:45,479 Speaker 1: really it complicates and changes what we think about, uh, 460 00:24:45,720 --> 00:24:47,840 Speaker 1: when we think about who we are. I just like 461 00:24:48,160 --> 00:24:50,399 Speaker 1: that I went to the place of you biom and 462 00:24:50,520 --> 00:24:54,200 Speaker 1: you went to that place. That's how it goes, right, Hey, 463 00:24:54,200 --> 00:24:56,000 Speaker 1: before we close out, let's call the robot over. We 464 00:24:56,000 --> 00:24:58,400 Speaker 1: haven't really been doing much listener mail, and then we 465 00:24:58,400 --> 00:24:59,560 Speaker 1: we try to make it up to him with a 466 00:24:59,600 --> 00:25:02,080 Speaker 1: whole epis so, but we really need to have regular 467 00:25:02,160 --> 00:25:04,760 Speaker 1: interaction with the robot if we if we want to 468 00:25:04,840 --> 00:25:08,040 Speaker 1: maintain a healthy relationship with our technology. Yeah, and put 469 00:25:08,040 --> 00:25:12,600 Speaker 1: that oil can away exactly all right. We heard a 470 00:25:12,640 --> 00:25:16,320 Speaker 1: lot from listeners on our Uncanny Music episode about the 471 00:25:16,440 --> 00:25:19,720 Speaker 1: science of uncanny music. Wind Is scary or creepy or weird? 472 00:25:19,800 --> 00:25:22,080 Speaker 1: Music have this effect on us? Is it cultural? Is 473 00:25:22,080 --> 00:25:25,280 Speaker 1: it's something in eight and uh, here's just one of 474 00:25:25,760 --> 00:25:28,320 Speaker 1: the responses. This is b from Boston Writing and says, 475 00:25:28,400 --> 00:25:30,640 Speaker 1: high blow your mind team, you're talking about why music 476 00:25:30,680 --> 00:25:33,560 Speaker 1: gives us chills? Brings to mind a little no neurological quirk. 477 00:25:33,560 --> 00:25:35,600 Speaker 1: There are plenty of people who, despite loving music and 478 00:25:35,640 --> 00:25:38,720 Speaker 1: feeling emotionally stirred by it, never experienced actual chills. I've 479 00:25:38,720 --> 00:25:41,240 Speaker 1: been a musician my whole life, but I always assumed 480 00:25:41,240 --> 00:25:43,480 Speaker 1: that when people said the music gave me chills, it 481 00:25:43,520 --> 00:25:46,159 Speaker 1: was a melodramatic figure of speech. I've been brought to 482 00:25:46,200 --> 00:25:49,800 Speaker 1: tears by music before and felt completely rocked by powerful passages, 483 00:25:49,840 --> 00:25:52,800 Speaker 1: but never once I've felt a tingle. It wasn't until 484 00:25:52,840 --> 00:25:55,399 Speaker 1: stumbling on articles about the phenomenon that I learned that 485 00:25:55,440 --> 00:25:58,639 Speaker 1: these claims of chills are real. Meanwhile, my boyfriend was 486 00:25:58,720 --> 00:26:02,240 Speaker 1: shocked to think that music could be experienced without these sensations. 487 00:26:02,240 --> 00:26:05,399 Speaker 1: Since this discovery, I've done a few impromptu surveys of 488 00:26:05,440 --> 00:26:07,919 Speaker 1: friends and co workers. In all of these environments, the 489 00:26:08,040 --> 00:26:10,719 Speaker 1: vast majority of people do get chills, but a steady 490 00:26:10,800 --> 00:26:14,679 Speaker 1: ten percent ish have shyly conceded that they have also 491 00:26:14,800 --> 00:26:16,919 Speaker 1: never felt them. The brain is a funny thing. I 492 00:26:16,920 --> 00:26:19,680 Speaker 1: have no idea what makes some of us chill haves 493 00:26:19,880 --> 00:26:21,879 Speaker 1: and have nots, but I would love to learn more 494 00:26:21,880 --> 00:26:24,639 Speaker 1: about it. Did you see anything about this side of 495 00:26:24,640 --> 00:26:26,800 Speaker 1: things in your research? Love the show and thanks for 496 00:26:26,840 --> 00:26:30,000 Speaker 1: all you do. Actually, they did not pop up in 497 00:26:30,080 --> 00:26:32,440 Speaker 1: the in our research, but it does make me want 498 00:26:32,520 --> 00:26:36,800 Speaker 1: to explore the chills as as a singular topic at 499 00:26:36,800 --> 00:26:39,119 Speaker 1: some point in the future. Like, really get into goose flesh, 500 00:26:39,160 --> 00:26:43,440 Speaker 1: really get into chill bumps, really get into pins and needles. Yeah, 501 00:26:43,440 --> 00:26:46,480 Speaker 1: I get pins and needles is different but it's the 502 00:26:46,560 --> 00:26:48,960 Speaker 1: still I think it's the same sensation, right, you're on 503 00:26:49,040 --> 00:26:53,280 Speaker 1: pins and needles, your your goose flesh, you're you're alert. Um. 504 00:26:53,400 --> 00:26:55,280 Speaker 1: It is a very interesting question as to why we 505 00:26:55,320 --> 00:26:58,240 Speaker 1: would all of a sudden look like chickens. Um. And 506 00:26:58,280 --> 00:27:00,480 Speaker 1: there's a lot more to it, obviously, they're there's some 507 00:27:00,560 --> 00:27:03,679 Speaker 1: holes in the research. People aren't exactly sure why. But 508 00:27:03,880 --> 00:27:05,480 Speaker 1: that's a good topic to cover and we've got so 509 00:27:05,520 --> 00:27:09,600 Speaker 1: many good emails about that that episode. Um. People send 510 00:27:09,680 --> 00:27:12,280 Speaker 1: us a lot of great links to two movies that 511 00:27:12,320 --> 00:27:17,119 Speaker 1: have been recut with scary music, like Mrs Doutfire, Yes, um, 512 00:27:17,400 --> 00:27:20,240 Speaker 1: Mary Poppins of course, Yes Poppins one where it turns 513 00:27:20,240 --> 00:27:22,800 Speaker 1: it into a horror film by just changing around the 514 00:27:23,080 --> 00:27:25,320 Speaker 1: music and the scenes, which is easy to do with 515 00:27:25,320 --> 00:27:27,000 Speaker 1: that movie because if you look at it now that 516 00:27:27,119 --> 00:27:29,959 Speaker 1: it actually you know, because it's like Foggio London, or 517 00:27:30,040 --> 00:27:33,000 Speaker 1: it has this sort of ominous feeling to it, just 518 00:27:33,080 --> 00:27:34,920 Speaker 1: in the tones of the great towns. Well. I love 519 00:27:34,920 --> 00:27:37,679 Speaker 1: the argument that she was actually a timelord, you know, 520 00:27:37,720 --> 00:27:41,359 Speaker 1: like the doctor doctor who Yes, um, so yeah, there 521 00:27:41,600 --> 00:27:44,639 Speaker 1: are many different ways to recast things given the boat 522 00:27:44,800 --> 00:27:47,240 Speaker 1: context of the music. All right, well, hey, if you 523 00:27:47,240 --> 00:27:48,800 Speaker 1: want to get in touch with this, you can find 524 00:27:48,840 --> 00:27:51,320 Speaker 1: us in a number of places. First and foremost, go 525 00:27:51,400 --> 00:27:53,359 Speaker 1: to stuff to Blow your Mind dot com. That is 526 00:27:53,400 --> 00:27:55,800 Speaker 1: our website. 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