1 00:00:06,240 --> 00:00:08,440 Speaker 1: Hey, you welcome to Stuff to Blow Your Mind. My 2 00:00:08,520 --> 00:00:09,360 Speaker 1: name is Robert. 3 00:00:09,200 --> 00:00:12,959 Speaker 2: Lamb and I am Joe McCormick, and today we are 4 00:00:13,000 --> 00:00:16,520 Speaker 2: bringing you an episode from the vault. This one originally 5 00:00:16,560 --> 00:00:20,080 Speaker 2: published April twentieth, twenty twenty three, and it is called 6 00:00:20,320 --> 00:00:21,640 Speaker 2: Mutational Meltdown. 7 00:00:22,520 --> 00:00:26,200 Speaker 1: Yeah, this is one that I was drawn to initially 8 00:00:26,280 --> 00:00:30,440 Speaker 1: solely because of the title Mutational Meltdown, How can you resist? 9 00:00:31,040 --> 00:00:33,640 Speaker 1: But there's a lot of fascinating content in there as well, 10 00:00:33,680 --> 00:00:37,160 Speaker 1: beyond just sort of the knee jerk feel of imagining 11 00:00:37,200 --> 00:00:39,720 Speaker 1: some sort of mutant melting in some sort of a 12 00:00:39,800 --> 00:00:42,440 Speaker 1: sci fi context. Let's jump right in. 13 00:00:45,720 --> 00:00:49,479 Speaker 3: Welcome to Stuff to Blow Your Mind, production of iHeartRadio. 14 00:00:55,960 --> 00:00:58,120 Speaker 1: Hey you welcome to Stuff to Blow your Mind. My 15 00:00:58,200 --> 00:00:59,040 Speaker 1: name is Robert. 16 00:00:58,840 --> 00:01:02,200 Speaker 2: Lamb and I'm Joe McCormick, and today we're going to 17 00:01:02,240 --> 00:01:07,600 Speaker 2: be talking about a concept in the realm of genetics 18 00:01:07,640 --> 00:01:14,559 Speaker 2: and reproduction, a concept known as mutational meltdown. Very enticing name, Rob. 19 00:01:14,680 --> 00:01:19,720 Speaker 2: I understand you became interested in mutational meltdown earlier this week. 20 00:01:19,760 --> 00:01:21,039 Speaker 2: What got you going on this? 21 00:01:21,959 --> 00:01:24,600 Speaker 1: Well, it actually didn't have anything to do directly with 22 00:01:25,360 --> 00:01:27,319 Speaker 1: any melt movies. We might have been talking about on 23 00:01:27,360 --> 00:01:30,640 Speaker 1: Weird House Cinema. I actually, I think I was on 24 00:01:30,680 --> 00:01:33,080 Speaker 1: a walk with my family and I said, Hey, I 25 00:01:33,080 --> 00:01:34,840 Speaker 1: think we're going to need an episode for Thursday. What 26 00:01:34,840 --> 00:01:38,120 Speaker 1: should we do it on? And there my wife and 27 00:01:38,120 --> 00:01:39,440 Speaker 1: my son are like, Oh, you should do it on 28 00:01:39,800 --> 00:01:44,400 Speaker 1: asexual reproduction. So okay, let's just started looking around a 29 00:01:44,440 --> 00:01:47,520 Speaker 1: little bit. And yeah, this particular term kind of jumped 30 00:01:47,520 --> 00:01:49,840 Speaker 1: out at me. I wasn't familiar with it, and it 31 00:01:50,960 --> 00:01:53,640 Speaker 1: basically gets down into and I think for our purposes 32 00:01:53,640 --> 00:01:55,040 Speaker 1: here on the show, you know, it's a reason to 33 00:01:55,080 --> 00:01:58,120 Speaker 1: sort of provide an overview of sort of asexual reproduction 34 00:01:58,240 --> 00:02:04,320 Speaker 1: versus sexual reproduction as sort of competing ways of going 35 00:02:04,360 --> 00:02:08,000 Speaker 1: about sort of the same thing for an organism, but 36 00:02:08,240 --> 00:02:12,520 Speaker 1: one with more short term benefits versus long term benefits. 37 00:02:12,560 --> 00:02:14,080 Speaker 1: And I don't know, I just found it to be 38 00:02:14,200 --> 00:02:19,280 Speaker 1: kind of a neat way to re examine and think 39 00:02:19,320 --> 00:02:22,880 Speaker 1: about these these concepts that I imagine we've covered on 40 00:02:22,880 --> 00:02:25,280 Speaker 1: the show before, and many of you out there have 41 00:02:25,280 --> 00:02:29,120 Speaker 1: have encountered in varying formats. 42 00:02:29,720 --> 00:02:32,200 Speaker 2: Sure well, I know over the years we have alluded 43 00:02:32,280 --> 00:02:35,919 Speaker 2: to the big question in biology of like where sex 44 00:02:35,960 --> 00:02:40,040 Speaker 2: comes from, the where when and why of sexual reproductions 45 00:02:40,320 --> 00:02:43,280 Speaker 2: as a part of the history of organisms on planet Earth. 46 00:02:43,360 --> 00:02:47,079 Speaker 2: Not going to solve that problem today, but yeah, I 47 00:02:47,160 --> 00:02:50,839 Speaker 2: think maybe this little subtopic could help shed a little 48 00:02:50,880 --> 00:02:51,560 Speaker 2: bit of light there. 49 00:02:52,040 --> 00:02:56,320 Speaker 1: Yeah, so let's let's start with the basics. Though, we're 50 00:02:56,320 --> 00:02:58,919 Speaker 1: going to just approach it as if you know, you're 51 00:02:58,919 --> 00:03:02,359 Speaker 1: not really familiar with any of the topics that we're 52 00:03:02,360 --> 00:03:07,000 Speaker 1: discussing here, So asexual reproduction versus sexual reproduction on a 53 00:03:07,160 --> 00:03:10,240 Speaker 1: very basic level, here's how it all goes down. So, 54 00:03:10,320 --> 00:03:13,639 Speaker 1: with sexual reproduction, you have the offspring of two genetic 55 00:03:13,720 --> 00:03:18,280 Speaker 1: parents inheriting a mix of genes from those parents, genetically 56 00:03:18,360 --> 00:03:22,320 Speaker 1: distinguishing itself from either parent. The resulting genetic variation is 57 00:03:22,440 --> 00:03:26,120 Speaker 1: highly adaptive because it provides individuals with varying traits that 58 00:03:26,200 --> 00:03:30,040 Speaker 1: may prove necessary for survival in an ever changing environment. 59 00:03:30,680 --> 00:03:34,280 Speaker 1: The resulting genetic diversity makes the population more resistant to 60 00:03:34,360 --> 00:03:35,320 Speaker 1: disease as well. 61 00:03:35,520 --> 00:03:37,720 Speaker 2: I think one of the theories we've talked about before 62 00:03:37,920 --> 00:03:42,680 Speaker 2: is that an advantage of sexual reproduction is that it 63 00:03:42,800 --> 00:03:46,960 Speaker 2: helps protect the host organism against various types of parasites 64 00:03:47,000 --> 00:03:51,280 Speaker 2: by introducing genetic variability that makes it harder for the 65 00:03:51,280 --> 00:03:56,040 Speaker 2: parasite to target each successive generation of the host. 66 00:03:56,400 --> 00:04:00,480 Speaker 1: Yeah, this is a clumsy analogy at best, but I 67 00:04:00,520 --> 00:04:02,200 Speaker 1: can't help but think too about like to say that, 68 00:04:03,000 --> 00:04:06,080 Speaker 1: because essentially, when you're talking about asexual reproduction, you're talking 69 00:04:06,600 --> 00:04:09,760 Speaker 1: essentially about making a clone of oneself. And so the 70 00:04:09,800 --> 00:04:14,840 Speaker 1: clone army in the Star Wars prequels highly susceptible to say, 71 00:04:16,000 --> 00:04:18,320 Speaker 1: a single order coming out and telling them to turn 72 00:04:18,320 --> 00:04:21,159 Speaker 1: on the Jedi, that sort of thing. But that's just 73 00:04:21,200 --> 00:04:23,520 Speaker 1: a very very rough idea of how to think about it. 74 00:04:24,800 --> 00:04:28,720 Speaker 1: But more specifically for our purposes here, another key benefit 75 00:04:29,120 --> 00:04:31,480 Speaker 1: that comes up in the literature is looking at is 76 00:04:31,520 --> 00:04:36,120 Speaker 1: that you can think of sex and genetic recombination is 77 00:04:36,200 --> 00:04:41,000 Speaker 1: ultimately a means of purging deletarious mutations. 78 00:04:41,440 --> 00:04:44,240 Speaker 2: Right, so the impact of mutations that might be harmful 79 00:04:44,279 --> 00:04:49,880 Speaker 2: to the organism can be blunted by sexual recombination. Yeah. 80 00:04:49,960 --> 00:04:52,640 Speaker 1: Yeah, So you end up with this, I mean, roughly speaking, 81 00:04:52,839 --> 00:04:54,599 Speaker 1: you know, you have kind of like a randomization of 82 00:04:54,600 --> 00:04:57,680 Speaker 1: these different traits, and the individuals that end up the 83 00:04:57,680 --> 00:05:01,800 Speaker 1: offspring with that end up with the the negative traits, 84 00:05:01,839 --> 00:05:06,120 Speaker 1: the harmful traits. They don't survive the ones that have 85 00:05:06,200 --> 00:05:09,479 Speaker 1: been purged of those mutations do survive, and therefore it 86 00:05:09,560 --> 00:05:13,240 Speaker 1: can purge the mutation from a particular lineage. Okay, all right, 87 00:05:13,279 --> 00:05:17,320 Speaker 1: So moving on to asexual reproduction. This is a case 88 00:05:17,360 --> 00:05:19,520 Speaker 1: in which you have the offspring of a single genetic 89 00:05:19,600 --> 00:05:22,680 Speaker 1: parent inheriting the genes of the parent, making it a 90 00:05:22,720 --> 00:05:25,720 Speaker 1: clone identical to the parent. The advantage here is that 91 00:05:25,760 --> 00:05:30,279 Speaker 1: you can reproduce rapidly without all of the energy expenditure 92 00:05:30,360 --> 00:05:33,359 Speaker 1: of mating. And I mean that's a pretty big statement 93 00:05:33,480 --> 00:05:37,120 Speaker 1: to think about, because so many organisms we end up 94 00:05:37,160 --> 00:05:40,040 Speaker 1: discussing on the podcast. You know, what is the key 95 00:05:40,080 --> 00:05:42,960 Speaker 1: thing that makes them interesting? Well, in some cases, many cases, 96 00:05:42,960 --> 00:05:45,680 Speaker 1: it's how they acquire their food, But in other cases 97 00:05:45,720 --> 00:05:47,480 Speaker 1: it's how do they get a mate? How do they 98 00:05:47,480 --> 00:05:50,599 Speaker 1: attract a maid or pursue a mate, And it ends 99 00:05:50,680 --> 00:05:53,279 Speaker 1: up taking up a whole lot of time, a whole 100 00:05:53,279 --> 00:05:55,680 Speaker 1: lot of energy. And what if you didn't have to 101 00:05:55,720 --> 00:05:59,560 Speaker 1: do that? What if instead you could just essentially clone yourself. 102 00:06:00,200 --> 00:06:03,200 Speaker 2: Convenient and safer in a lot of cases, because I 103 00:06:03,240 --> 00:06:05,920 Speaker 2: mean it varies by organism, but in many cases, yeah, 104 00:06:05,960 --> 00:06:08,640 Speaker 2: if you have to go seeking out a mate, it 105 00:06:08,760 --> 00:06:12,200 Speaker 2: is not only you know, an energy expense to go 106 00:06:12,320 --> 00:06:15,839 Speaker 2: looking around, but you're also often removing yourself from safe 107 00:06:15,880 --> 00:06:19,000 Speaker 2: locations and going into dangerous ones. Yeah. 108 00:06:19,000 --> 00:06:21,320 Speaker 1: I mean it's kind of like when you get some 109 00:06:21,360 --> 00:06:24,080 Speaker 1: sort of new kit to a symbols of Ikia furniture, right, 110 00:06:24,520 --> 00:06:27,200 Speaker 1: and the first thing you notice is that on the 111 00:06:27,240 --> 00:06:29,359 Speaker 1: instructions it says, oh, you have to have two people 112 00:06:29,400 --> 00:06:32,159 Speaker 1: to do this, and you're like, oh, that totally recks 113 00:06:32,160 --> 00:06:34,800 Speaker 1: my day. Now, I've got to get my significant other 114 00:06:35,040 --> 00:06:36,920 Speaker 1: or a friend to help with this. We've got to 115 00:06:36,960 --> 00:06:39,560 Speaker 1: align our schedules, and we have to both work together 116 00:06:39,680 --> 00:06:43,080 Speaker 1: to build this thing, as opposed to one where I 117 00:06:43,120 --> 00:06:45,680 Speaker 1: can just build it myself and put it where it 118 00:06:45,720 --> 00:06:48,359 Speaker 1: needs to go in the house. Now, there are multiple 119 00:06:48,400 --> 00:06:50,560 Speaker 1: types of asexual reproduction, and we're not going to go 120 00:06:50,600 --> 00:06:52,200 Speaker 1: into all of them, but you have all sorts of 121 00:06:52,240 --> 00:06:56,560 Speaker 1: things like asexual budding and so forth. The sources I 122 00:06:56,560 --> 00:07:00,920 Speaker 1: was looking at dealt a lot with parthenogenis, which occurs 123 00:07:00,960 --> 00:07:04,560 Speaker 1: widely and invertebrates. This word stems from the Greek for 124 00:07:04,680 --> 00:07:08,480 Speaker 1: virgin creation parthenos plus genesis. 125 00:07:08,640 --> 00:07:11,000 Speaker 2: Okay, so this would describe, for example, a lot of 126 00:07:11,080 --> 00:07:15,480 Speaker 2: vertebrates like maybe some lizards or fish that can give 127 00:07:15,680 --> 00:07:18,840 Speaker 2: birth without ever having without ever having their game meets 128 00:07:18,880 --> 00:07:21,000 Speaker 2: fertilized by a member of the opposite sex. 129 00:07:21,440 --> 00:07:26,840 Speaker 1: Yeah, yeah, we're talking about lizards, geckos, various insects, particularly 130 00:07:26,880 --> 00:07:31,520 Speaker 1: some sharks. And it's of course very important to note 131 00:07:31,560 --> 00:07:36,800 Speaker 1: that there are obligates sexual reproducers and then they're obligate 132 00:07:36,920 --> 00:07:40,240 Speaker 1: asexual reproducers. But then there are also organisms that can 133 00:07:40,280 --> 00:07:44,400 Speaker 1: do either depending on environmental pressure. So a classic example 134 00:07:44,560 --> 00:07:48,440 Speaker 1: of a sexually reproducing organism engaging in asexual reproduction is, 135 00:07:48,480 --> 00:07:51,800 Speaker 1: of course, when an individual cannot find a mate. It's 136 00:07:51,880 --> 00:07:53,720 Speaker 1: kind of there as I guess you could think of 137 00:07:53,760 --> 00:07:58,720 Speaker 1: it as kind of a backup plan that or some 138 00:07:58,760 --> 00:08:00,640 Speaker 1: sort of a you know, an emergency button that can 139 00:08:00,640 --> 00:08:03,240 Speaker 1: be pushed. And this has been the case with some 140 00:08:03,320 --> 00:08:06,120 Speaker 1: of the famous examples of say sharks or lizards such 141 00:08:06,120 --> 00:08:11,360 Speaker 1: as the Komodo dragon reproducing in captivity, these so called 142 00:08:11,440 --> 00:08:14,960 Speaker 1: virgin births that will suddenly occur in shock zoo keepers. 143 00:08:15,480 --> 00:08:19,840 Speaker 2: So the ideal is to mix and match your genetic 144 00:08:19,920 --> 00:08:23,520 Speaker 2: material with somebody else's, but in a pinch, you could 145 00:08:23,560 --> 00:08:26,520 Speaker 2: just make a copy of yourself if you're. 146 00:08:26,400 --> 00:08:29,480 Speaker 1: The right species correct, Yeah, and if I'm remembering correctly, 147 00:08:29,560 --> 00:08:31,880 Speaker 1: This also pops up in the plot of Jurassic Park, right, 148 00:08:31,920 --> 00:08:34,800 Speaker 1: something to do with the way that they're recreating dinosaur 149 00:08:34,840 --> 00:08:36,280 Speaker 1: DNA using amphibian DNA. 150 00:08:36,760 --> 00:08:39,439 Speaker 2: Well, I don't know if this is parthenogenesis or if 151 00:08:39,480 --> 00:08:40,880 Speaker 2: it would be different. I think what they say, at 152 00:08:40,960 --> 00:08:42,760 Speaker 2: least in the movie, I don't remember what happens in 153 00:08:42,800 --> 00:08:45,040 Speaker 2: the book. In the movie they say that because they 154 00:08:45,120 --> 00:08:49,920 Speaker 2: use some frog DNA to cover up patches in the 155 00:08:50,000 --> 00:08:53,560 Speaker 2: DNA sequence. I'm just recalling from memory what mister DNA 156 00:08:53,679 --> 00:08:59,600 Speaker 2: tells us that some frogs are able to spontaneously change 157 00:08:59,640 --> 00:09:02,439 Speaker 2: sex in a single sex environment, and thus, even though 158 00:09:02,520 --> 00:09:05,200 Speaker 2: all of the dinosaurs in the park were supposed to 159 00:09:05,200 --> 00:09:09,280 Speaker 2: be female, some changed into males, and thus we're sexually reproducing. 160 00:09:09,800 --> 00:09:12,160 Speaker 1: Ah okay, I think that's the main thing. I'm either 161 00:09:12,200 --> 00:09:15,480 Speaker 1: misremembering that, or maybe there's something from one of the 162 00:09:15,559 --> 00:09:18,959 Speaker 1: later like Jurassic World films that I'm only like half 163 00:09:19,000 --> 00:09:22,080 Speaker 1: processing here. All Right, So you have these two basic 164 00:09:22,120 --> 00:09:24,800 Speaker 1: ways of reproducing, then this of course means that there 165 00:09:24,800 --> 00:09:28,200 Speaker 1: are drawbacks to either one. So in sexual reproduction again, 166 00:09:28,559 --> 00:09:30,120 Speaker 1: you got to put a whole lot of energy and 167 00:09:30,200 --> 00:09:35,480 Speaker 1: time into mating behaviors. It necessitates the existence of males, 168 00:09:35,960 --> 00:09:39,600 Speaker 1: which in some cases like do little or nothing else, Like, 169 00:09:40,040 --> 00:09:44,360 Speaker 1: you know, an entire division of the species just for reproduction. 170 00:09:45,640 --> 00:09:50,040 Speaker 1: Mating can prove fatal in and of itself, not necessarily 171 00:09:50,080 --> 00:09:53,760 Speaker 1: in a way that actually has any impact on the species. 172 00:09:53,760 --> 00:09:56,000 Speaker 1: But still it's like the again, you get into these 173 00:09:56,040 --> 00:09:59,760 Speaker 1: situations where the male's whole role is reproduction and then 174 00:10:00,040 --> 00:10:03,920 Speaker 1: afterwards it has no purpose except maybe death. And it 175 00:10:03,960 --> 00:10:07,240 Speaker 1: can of course also can be nutrition, could be nutrition. Yeah, 176 00:10:07,240 --> 00:10:10,400 Speaker 1: so it's not a complete ways. But also just mating 177 00:10:10,440 --> 00:10:14,000 Speaker 1: in general creates opportunities for predators in a number of ways. 178 00:10:14,280 --> 00:10:16,760 Speaker 1: You could it could be something very specific, like well, 179 00:10:16,800 --> 00:10:19,559 Speaker 1: while you're mating, it's possible that something could could prey 180 00:10:19,600 --> 00:10:23,160 Speaker 1: on you. But also again, just think of all the 181 00:10:23,160 --> 00:10:27,080 Speaker 1: the links that creatures end up going to inmate selection 182 00:10:27,600 --> 00:10:31,559 Speaker 1: and so forth. Various examples of this, even if it's 183 00:10:31,600 --> 00:10:35,719 Speaker 1: just say sexual dimorphism could mean that one member of 184 00:10:35,720 --> 00:10:37,760 Speaker 1: the species is more likely to be consumed than the other. 185 00:10:38,200 --> 00:10:40,400 Speaker 2: Yeah, it makes me think about all of the I 186 00:10:40,440 --> 00:10:45,160 Speaker 2: don't know, like birds that essentially where male birds are 187 00:10:45,160 --> 00:10:51,240 Speaker 2: trying to attract mates, specifically by being conspicuous. Yeah, you 188 00:10:51,320 --> 00:10:53,520 Speaker 2: got to think that that also that comes with some 189 00:10:53,720 --> 00:10:56,120 Speaker 2: amount of predation risk, at least in many cases. 190 00:10:56,600 --> 00:11:00,160 Speaker 1: Yeah, another thing could be a particular places you have 191 00:11:00,200 --> 00:11:03,000 Speaker 1: to travel to in order to engage in the mating, 192 00:11:03,040 --> 00:11:08,080 Speaker 1: et cetera. But another drawback to sexual reproduction is that 193 00:11:08,120 --> 00:11:11,800 Speaker 1: if it's your only option, it means that isolated members 194 00:11:12,040 --> 00:11:16,000 Speaker 1: just of a particular species or population just cannot reproduce. 195 00:11:16,440 --> 00:11:19,600 Speaker 1: And it also means that sufficiently reduced populations are just 196 00:11:19,679 --> 00:11:23,240 Speaker 1: already at a dead end. Now in asexual reproduction, there's 197 00:11:23,280 --> 00:11:26,920 Speaker 1: also a potential dead end there as well, because if 198 00:11:26,960 --> 00:11:31,040 Speaker 1: you don't have genetic variation occurring, if you're basically just 199 00:11:31,080 --> 00:11:33,840 Speaker 1: putting out the same model after the same model, after 200 00:11:33,880 --> 00:11:37,640 Speaker 1: the same model, it may well improve, it may well 201 00:11:37,679 --> 00:11:41,840 Speaker 1: prove impossible for the species to adapt or to change. 202 00:11:42,880 --> 00:11:44,600 Speaker 1: So it's you know, if you're just putting out the 203 00:11:44,600 --> 00:11:48,560 Speaker 1: same model after the same model, and like the market 204 00:11:48,679 --> 00:11:50,840 Speaker 1: is the same for that product, then I guess you 205 00:11:50,840 --> 00:11:52,840 Speaker 1: don't have anything to worry about so long as the 206 00:11:52,840 --> 00:11:56,080 Speaker 1: market doesn't change. It's suddenly, if the demand for a 207 00:11:56,120 --> 00:12:00,360 Speaker 1: particular you know, toy or item we were to alter 208 00:12:00,480 --> 00:12:03,679 Speaker 1: in some way and you couldn't alter the product, then 209 00:12:03,679 --> 00:12:07,000 Speaker 1: you'd be in trouble. And the same goes for any 210 00:12:07,080 --> 00:12:10,560 Speaker 1: kind of biological form. What happens when say, things begin 211 00:12:10,600 --> 00:12:14,240 Speaker 1: to dry up, or there's warming or cooling, or whatever 212 00:12:14,280 --> 00:12:17,920 Speaker 1: the case may be. Sexual reproduction is what gives you 213 00:12:17,960 --> 00:12:23,080 Speaker 1: the ability to bust out these different variations on the 214 00:12:23,080 --> 00:12:27,520 Speaker 1: genetic code that could prove adaptive to change. Yeah, it 215 00:12:27,559 --> 00:12:34,000 Speaker 1: gives you options, diversity, Yeah, yeah, diversifies your portfolio. Now, 216 00:12:34,040 --> 00:12:37,680 Speaker 1: we mentioned disease and parasites already, so that's very much 217 00:12:37,920 --> 00:12:40,960 Speaker 1: the case. If you just have a whole bunch of clones, 218 00:12:41,040 --> 00:12:46,640 Speaker 1: then they all have the same susceptibility to illness or parasites. Overall, 219 00:12:46,720 --> 00:12:49,640 Speaker 1: the big drawback is just a lack of genetic diversity, 220 00:12:50,040 --> 00:12:53,720 Speaker 1: which can also result in the accumulation of harmful mutations. 221 00:12:54,360 --> 00:12:57,240 Speaker 1: And another thing about the difference between the two though, 222 00:12:57,240 --> 00:12:59,480 Speaker 1: that I guess I hadn't really thought about too much, 223 00:12:59,600 --> 00:13:01,960 Speaker 1: is that it being a difference between short term and 224 00:13:02,080 --> 00:13:06,559 Speaker 1: long term benefits. So, asexual reproduction is great for rapidly 225 00:13:06,600 --> 00:13:09,600 Speaker 1: growing a population during a time of plenty, but the 226 00:13:09,640 --> 00:13:13,439 Speaker 1: resulting population can run into problems long term. Meanwhile, sexual 227 00:13:13,520 --> 00:13:17,800 Speaker 1: reproduction requires more energy and time, but generates diversity that 228 00:13:18,200 --> 00:13:20,880 Speaker 1: may come in handy in the long term again when 229 00:13:20,920 --> 00:13:25,000 Speaker 1: there are changes and obstacles that arise. Anyway, coming back 230 00:13:25,000 --> 00:13:29,400 Speaker 1: to this idea that via asexual reproduction you can have 231 00:13:29,480 --> 00:13:35,440 Speaker 1: this accumulation of harmful genetic changes. This brings us to 232 00:13:35,480 --> 00:13:38,880 Speaker 1: the topic of Mueller's ratchet, which is not something I 233 00:13:38,920 --> 00:13:43,080 Speaker 1: was familiar with previously. The basic theory here is that 234 00:13:43,600 --> 00:13:49,160 Speaker 1: long term reproduction, particularly a sexual reproduction, but some of 235 00:13:49,200 --> 00:13:51,079 Speaker 1: the studies we're looking at they're also looking at it 236 00:13:51,960 --> 00:13:56,120 Speaker 1: with sexual reproduction. Basically, you see this accumulation of harmful 237 00:13:56,120 --> 00:14:00,600 Speaker 1: genetic mutations, and after thousands of generations pass by, you 238 00:14:00,640 --> 00:14:05,800 Speaker 1: can eventually reach a tipping point, which we refer to 239 00:14:05,840 --> 00:14:09,480 Speaker 1: as mutational meltdown. And we'll get back to mutational meltdown 240 00:14:09,520 --> 00:14:13,920 Speaker 1: in just a second. But interestingly, the namesake for Muller's 241 00:14:14,000 --> 00:14:17,400 Speaker 1: ratchet is Hermann. Joseph Muller, who lived eighteen ninety through 242 00:14:17,480 --> 00:14:21,800 Speaker 1: nineteen sixty seven, an American geneticis mostly known for his 243 00:14:21,920 --> 00:14:26,600 Speaker 1: work on mooda genesis and for being like an outspoken 244 00:14:27,360 --> 00:14:31,320 Speaker 1: critic and just sort of communicator on the dangers of 245 00:14:31,360 --> 00:14:35,120 Speaker 1: radioactive fallout. He won the nineteen forty six Nobel Prize 246 00:14:35,160 --> 00:14:38,320 Speaker 1: in physiology or medicine. And he was also the father 247 00:14:38,520 --> 00:14:43,560 Speaker 1: of mathematician and computer scientist David E. Muller, who also 248 00:14:43,640 --> 00:14:47,080 Speaker 1: has various things named after him. So you'll find a 249 00:14:47,160 --> 00:14:51,560 Speaker 1: number of things in both genetic concepts and what have you, 250 00:14:51,640 --> 00:14:56,400 Speaker 1: in genetics and mathematics that have the Muller name attached 251 00:14:56,400 --> 00:14:56,920 Speaker 1: to them. 252 00:14:57,000 --> 00:14:59,840 Speaker 2: Now, Rob, before you suggested this, I had never heard 253 00:14:59,840 --> 00:15:02,920 Speaker 2: of mutational meltdown or Mueller's ratchet, at least as far 254 00:15:02,960 --> 00:15:05,120 Speaker 2: as I know. But one of the things that I 255 00:15:05,160 --> 00:15:09,560 Speaker 2: got really interested in here is how it violates sort 256 00:15:09,560 --> 00:15:13,400 Speaker 2: of the simple assumptions that you make when you think 257 00:15:13,400 --> 00:15:16,080 Speaker 2: about evolution on a surface level, because, of course it 258 00:15:16,160 --> 00:15:20,280 Speaker 2: makes this reference to the idea of harmful genetic mutations 259 00:15:20,440 --> 00:15:25,240 Speaker 2: accumulating over time in a species, and at a surface level, 260 00:15:25,240 --> 00:15:28,280 Speaker 2: you might think, well, wait a minute, why would harmful 261 00:15:28,400 --> 00:15:32,960 Speaker 2: genetic mutations accumulate? Isn't natural selection supposed to get rid 262 00:15:32,960 --> 00:15:37,000 Speaker 2: of those? And so over time, with enough enough opportunities, yes, 263 00:15:37,240 --> 00:15:41,200 Speaker 2: mutations that bring more harm than benefit to an organism's 264 00:15:41,440 --> 00:15:45,760 Speaker 2: ability to survive and reproduce will tend to disappear. But 265 00:15:46,080 --> 00:15:50,040 Speaker 2: under certain circumstances, bad genes can accumulate. And one of 266 00:15:49,880 --> 00:15:53,240 Speaker 2: the key concepts to understand here is what's known as 267 00:15:53,360 --> 00:15:58,560 Speaker 2: genetic drift. So genetic drift is a change in the 268 00:15:58,600 --> 00:16:03,280 Speaker 2: frequency of a particular gene variant also known as an allele, 269 00:16:04,120 --> 00:16:08,440 Speaker 2: in a population due to random chance rather than to 270 00:16:08,720 --> 00:16:13,360 Speaker 2: natural selection. So random genetic drift is always happening. It's 271 00:16:13,400 --> 00:16:16,720 Speaker 2: always going on in the background in the evolution of species. 272 00:16:17,040 --> 00:16:19,480 Speaker 2: While you might think of natural selection as sort of 273 00:16:19,960 --> 00:16:25,560 Speaker 2: acting in the foreground, amplifying or diminishing alleles because they 274 00:16:25,680 --> 00:16:29,360 Speaker 2: are helpful or harmful. So you might think of, say 275 00:16:29,480 --> 00:16:33,360 Speaker 2: a gene for blue feathers in some kind of bird, 276 00:16:33,680 --> 00:16:38,920 Speaker 2: that gene might increase in the population, not for any 277 00:16:39,000 --> 00:16:42,600 Speaker 2: reason having to do with blue feathers making the bird 278 00:16:42,680 --> 00:16:47,160 Speaker 2: survive or reproduce more. Maybe it's just you know, sheer 279 00:16:47,280 --> 00:16:50,600 Speaker 2: luck one season. Or maybe there might be some kind 280 00:16:50,640 --> 00:16:53,840 Speaker 2: of random thing that happens in the popular lakes, maybe 281 00:16:53,840 --> 00:16:56,600 Speaker 2: a big population of blue feathered individuals come across a 282 00:16:56,640 --> 00:16:59,400 Speaker 2: big cache of food or something, or there is just 283 00:16:59,760 --> 00:17:03,840 Speaker 2: the the standard fluctuations in the sampling rate of the 284 00:17:03,880 --> 00:17:08,400 Speaker 2: different alleles that get recombined in sexual reproduction. The smaller 285 00:17:08,440 --> 00:17:11,919 Speaker 2: a population is, the more likely it is to be 286 00:17:12,160 --> 00:17:17,960 Speaker 2: irreversibly changed by random trends in genetic drift. Now you 287 00:17:18,080 --> 00:17:20,840 Speaker 2: might wonder, how would that work. If the trends in 288 00:17:20,920 --> 00:17:24,320 Speaker 2: genetic drift are just random, it's just chance, how would 289 00:17:24,359 --> 00:17:28,320 Speaker 2: that cause irreversible changes. I think one way you might 290 00:17:28,320 --> 00:17:31,960 Speaker 2: be able to compare this is if you think about gambling. Okay, 291 00:17:32,040 --> 00:17:36,800 Speaker 2: imagine you're making bets on somebody flipping a coin. If 292 00:17:36,840 --> 00:17:39,880 Speaker 2: you have an infinite pot of money to bet with, 293 00:17:40,160 --> 00:17:42,359 Speaker 2: you could just keep doing this forever, right Like, you 294 00:17:42,440 --> 00:17:44,120 Speaker 2: might get a run of good luck. You might get 295 00:17:44,119 --> 00:17:46,560 Speaker 2: a run of bad luck. You might call the coin wrong. 296 00:17:46,880 --> 00:17:48,760 Speaker 2: You know, I don't know how many times it would 297 00:17:48,800 --> 00:17:51,040 Speaker 2: be plausible eight times in a row and lose a 298 00:17:51,080 --> 00:17:54,760 Speaker 2: lot of money. But eventually, on average, you'd have a 299 00:17:54,760 --> 00:17:57,120 Speaker 2: winning streak again, and you'd win your money back as 300 00:17:57,160 --> 00:18:00,240 Speaker 2: long as you can keep gambling, as long as you've 301 00:18:00,280 --> 00:18:03,040 Speaker 2: got like an infinite pot to play from. But if 302 00:18:03,080 --> 00:18:06,399 Speaker 2: you are gambling with a fixed amount of money, you 303 00:18:06,680 --> 00:18:10,080 Speaker 2: eventually will hit a random run of bad luck and 304 00:18:10,119 --> 00:18:12,720 Speaker 2: lose it all. You will play to extinction. 305 00:18:13,680 --> 00:18:14,800 Speaker 1: Very fitting, very fitting. 306 00:18:15,160 --> 00:18:19,399 Speaker 2: So for my analogy here, you could compare the size 307 00:18:19,400 --> 00:18:21,439 Speaker 2: of your purse you're going in to gamble with with 308 00:18:21,640 --> 00:18:24,760 Speaker 2: the size of the population where the random genetic drift 309 00:18:24,800 --> 00:18:29,680 Speaker 2: is happening. Genetic drift in a small population can easily 310 00:18:29,800 --> 00:18:33,959 Speaker 2: drive certain alleles extinct, even though those alleles had no 311 00:18:34,200 --> 00:18:38,440 Speaker 2: negative effect on survival. The other side of the other 312 00:18:38,480 --> 00:18:41,800 Speaker 2: side of that is that in small populations, random genetic 313 00:18:41,840 --> 00:18:45,080 Speaker 2: drift can also do the inverse. It can take an 314 00:18:45,119 --> 00:18:48,920 Speaker 2: allele and make it the only version of that gene 315 00:18:49,160 --> 00:18:53,200 Speaker 2: left in the population, present in one hundred percent of individuals. 316 00:18:53,600 --> 00:18:57,200 Speaker 2: And there's a term for this, The population genetics term 317 00:18:57,960 --> 00:19:01,719 Speaker 2: for when an allele becomes present in the entire population 318 00:19:01,920 --> 00:19:06,119 Speaker 2: is fixation. When that allele is the only version of 319 00:19:06,119 --> 00:19:09,199 Speaker 2: that gene left, it is said to be fixed in 320 00:19:09,240 --> 00:19:12,439 Speaker 2: the population. Everybody's got it. And of course, once a 321 00:19:12,520 --> 00:19:15,719 Speaker 2: gene variant is fixed in a population, of course, that 322 00:19:15,800 --> 00:19:18,480 Speaker 2: means the individuals in that population are stuck with it, 323 00:19:18,560 --> 00:19:22,679 Speaker 2: you know, unless there is new information introduced. Now that 324 00:19:22,720 --> 00:19:25,840 Speaker 2: could be maybe a random mutation causes a new version 325 00:19:25,880 --> 00:19:28,400 Speaker 2: of that gene to appear and then it can maybe compete, 326 00:19:28,880 --> 00:19:32,720 Speaker 2: or there is inflow of new alleles of that gene, 327 00:19:32,720 --> 00:19:37,119 Speaker 2: maybe by interbreeding with another population or something like that. 328 00:19:37,359 --> 00:19:42,240 Speaker 2: But for a closed population, once a gene variant is fixed, 329 00:19:42,359 --> 00:19:53,960 Speaker 2: they're stuck with it. Now, the important thing to realize 330 00:19:54,000 --> 00:19:58,359 Speaker 2: is that alleles don't have to be the best version 331 00:19:58,400 --> 00:20:00,679 Speaker 2: of that gene. They don't have to be helpful to 332 00:20:00,800 --> 00:20:05,640 Speaker 2: survival or reproduction in order to become fixed in a population. 333 00:20:06,720 --> 00:20:11,560 Speaker 2: In big populations, harmful versions of genes will not tend 334 00:20:11,560 --> 00:20:14,159 Speaker 2: to dominate over time. They will tend to get removed 335 00:20:14,280 --> 00:20:18,160 Speaker 2: or remain in the background. But in small populations, because 336 00:20:18,240 --> 00:20:22,639 Speaker 2: you're essentially gambling with a small purse, those deleterious alleles 337 00:20:22,680 --> 00:20:27,000 Speaker 2: can become fixed just through bad luck. So you imagine, 338 00:20:27,000 --> 00:20:31,560 Speaker 2: maybe every season within a population, you pick a randomly 339 00:20:31,600 --> 00:20:34,960 Speaker 2: assorted number of the individuals in that population, You say, 340 00:20:35,000 --> 00:20:38,760 Speaker 2: whichever allele they've got, make another copy of that one, 341 00:20:39,240 --> 00:20:41,480 Speaker 2: and then you just keep doing that over and over. 342 00:20:42,080 --> 00:20:45,560 Speaker 2: You can get random results where suddenly a gene that's 343 00:20:45,680 --> 00:20:49,160 Speaker 2: not very good for the population is suddenly the only 344 00:20:49,200 --> 00:20:55,520 Speaker 2: one left. So that's how genetic drift can cause deleterious, 345 00:20:55,840 --> 00:21:00,159 Speaker 2: harmful genes to become fixed in a population. But I 346 00:21:00,240 --> 00:21:02,480 Speaker 2: was wondering, Okay, so what's the deal with this idea 347 00:21:02,680 --> 00:21:06,879 Speaker 2: of mutational meltdown. What's happening there? Well, I was reading 348 00:21:06,920 --> 00:21:10,040 Speaker 2: about this in a in a biology textbook I found 349 00:21:10,040 --> 00:21:15,680 Speaker 2: called Practical Conservation Biology edited by David Lindenmeyer and Mark Bergmann. 350 00:21:15,920 --> 00:21:19,320 Speaker 2: And you know, one of the things that the authors 351 00:21:19,359 --> 00:21:22,600 Speaker 2: mention is that every population carries some load in the 352 00:21:22,640 --> 00:21:28,760 Speaker 2: background of deleterious recessive genes. But the core theory of 353 00:21:29,760 --> 00:21:33,879 Speaker 2: mutational meltdown again, it's something that really applies in particular 354 00:21:34,000 --> 00:21:38,160 Speaker 2: to small populations. That's where it's really dangerous. The author's 355 00:21:38,200 --> 00:21:43,040 Speaker 2: write quote. In small populations, the dominant genetic process is drift. 356 00:21:43,520 --> 00:21:46,520 Speaker 2: If the size of the breeding population is very small, 357 00:21:46,640 --> 00:21:50,959 Speaker 2: then random drift can overwhelm natural selection and a population 358 00:21:51,119 --> 00:21:55,800 Speaker 2: can accumulate and become fixed for quite deleterious mutations. If 359 00:21:55,800 --> 00:21:59,280 Speaker 2: the decline in fitness that results from the accumulation of 360 00:21:59,359 --> 00:22:04,560 Speaker 2: new mutations reduces fecundity, so it reduces birth rates and 361 00:22:04,640 --> 00:22:10,640 Speaker 2: reduces survival to the extent that the population declines, feedback 362 00:22:10,760 --> 00:22:15,160 Speaker 2: between random genetic drift and mutation is set in motion. 363 00:22:15,760 --> 00:22:20,760 Speaker 2: As the population size decreases, random genetic drift becomes a 364 00:22:20,920 --> 00:22:25,000 Speaker 2: more significant force, and the rate of fixation of deleterious 365 00:22:25,080 --> 00:22:29,800 Speaker 2: mutations increases, further reducing population size. So it is this 366 00:22:30,359 --> 00:22:36,119 Speaker 2: feedback loop between the harmful mutations making the population smaller 367 00:22:36,640 --> 00:22:40,720 Speaker 2: and thus increasing the effects of genetic drift compared to 368 00:22:40,880 --> 00:22:42,720 Speaker 2: the effects of selection forces. 369 00:22:43,240 --> 00:22:46,520 Speaker 1: Yeah, so at first you just have one wrong turn movie, 370 00:22:46,600 --> 00:22:48,840 Speaker 1: and then you have two wrong turn movies, and before 371 00:22:48,880 --> 00:22:50,840 Speaker 1: you know it, there's like twenty of them and you 372 00:22:50,880 --> 00:22:53,280 Speaker 1: haven't seen a single one, but you know that they 373 00:22:53,320 --> 00:22:56,879 Speaker 1: all have something to do with mutated hillbillies. 374 00:22:57,480 --> 00:23:00,760 Speaker 2: Yes, it's a vicious cycle of some kind. And as 375 00:23:00,800 --> 00:23:02,800 Speaker 2: a side note, by the way, this is not relevant 376 00:23:02,800 --> 00:23:04,919 Speaker 2: to most of the species we'd be talking about, but 377 00:23:05,080 --> 00:23:07,399 Speaker 2: just because I thought it was interesting. The authors in 378 00:23:07,440 --> 00:23:11,040 Speaker 2: the context of this conservation biology book also mention how 379 00:23:11,080 --> 00:23:15,960 Speaker 2: this applies in captive populations in a conservation context. So 380 00:23:17,720 --> 00:23:22,320 Speaker 2: because captive populations of animals where you know there's concern 381 00:23:22,440 --> 00:23:27,280 Speaker 2: for the species level survival, because those might those animals 382 00:23:27,320 --> 00:23:31,679 Speaker 2: are not really competing in the wild to survive, It 383 00:23:31,800 --> 00:23:36,000 Speaker 2: is very easy, in fact, for them to accumulate deleterious 384 00:23:36,080 --> 00:23:40,560 Speaker 2: mutations in their genome because you have this genetic drift factor. 385 00:23:40,680 --> 00:23:44,680 Speaker 2: But then also the normal selection pressures are not really 386 00:23:44,680 --> 00:23:49,160 Speaker 2: applying at all, so once the population is reintroduced into 387 00:23:49,160 --> 00:23:53,080 Speaker 2: the wild, the build up of all these deleterious mutations 388 00:23:53,160 --> 00:23:56,639 Speaker 2: acquired through genetic drift can be quite harsh, and they 389 00:23:56,680 --> 00:24:01,440 Speaker 2: say that this could explain some examples of basically poor 390 00:24:01,520 --> 00:24:06,200 Speaker 2: performance of captive bread individuals of endangered species after being 391 00:24:06,280 --> 00:24:07,440 Speaker 2: released into the wild. 392 00:24:08,640 --> 00:24:11,480 Speaker 1: Yeah, there's so many factors to take into account with 393 00:24:11,800 --> 00:24:14,560 Speaker 1: captive populations, because, yeah, on top of everything you just 394 00:24:14,600 --> 00:24:18,000 Speaker 1: talked about, there's also the idea that some species will 395 00:24:18,080 --> 00:24:23,359 Speaker 1: just then spontaneously asexually produce offspring, which of course is 396 00:24:23,400 --> 00:24:25,320 Speaker 1: not going to that particular offspring is not going to 397 00:24:25,320 --> 00:24:31,080 Speaker 1: be genetically diversified either, So yeah, you have this huge 398 00:24:31,119 --> 00:24:32,080 Speaker 1: bottleneck potential. 399 00:24:32,080 --> 00:24:34,600 Speaker 2: There one last thing from that book. The most common 400 00:24:34,600 --> 00:24:38,760 Speaker 2: citations I see for the theoretical work on mutational meltdown 401 00:24:39,280 --> 00:24:43,840 Speaker 2: are attributed to papers by Lynch published in the nineties 402 00:24:43,880 --> 00:24:48,080 Speaker 2: in the nineteen nineties, but they do note also in 403 00:24:48,119 --> 00:24:50,959 Speaker 2: this book chapter that there have been some studies that 404 00:24:51,480 --> 00:24:54,199 Speaker 2: looked for so that's the theoretical work by Lynch, but 405 00:24:54,280 --> 00:24:56,160 Speaker 2: there were some studies that look to try to find 406 00:24:56,200 --> 00:25:01,480 Speaker 2: evidence of what they call greater genetic loads accumulations of 407 00:25:01,600 --> 00:25:08,080 Speaker 2: mutations in small fruit fly populations. This was cited to 408 00:25:08,160 --> 00:25:11,159 Speaker 2: Gilligan at all in two thousand and five, and they 409 00:25:11,160 --> 00:25:14,560 Speaker 2: didn't find it. They didn't find evidence of these of 410 00:25:14,640 --> 00:25:18,960 Speaker 2: these loads they expected. So I guess some questions about 411 00:25:19,000 --> 00:25:22,480 Speaker 2: how the theory of mutational meltdown actually applies to populations 412 00:25:22,480 --> 00:25:23,080 Speaker 2: in the wild. 413 00:25:23,440 --> 00:25:26,840 Speaker 1: Yeah, yeah, it's my understanding that, Yeah, we are dealing 414 00:25:26,840 --> 00:25:31,400 Speaker 1: with theories here, and there is a continued challenge for 415 00:25:31,760 --> 00:25:35,840 Speaker 1: evolutionary biologies to find examples and potential examples of all 416 00:25:35,880 --> 00:25:38,400 Speaker 1: of this and to define these breakthrough examples. It will 417 00:25:38,400 --> 00:25:42,800 Speaker 1: help us better understand not only this whole question of 418 00:25:42,800 --> 00:25:45,720 Speaker 1: potential mutational meltdown, but also just sort of a larger 419 00:25:45,800 --> 00:25:50,840 Speaker 1: question again of like why is sexual reproduction more beneficial 420 00:25:51,280 --> 00:25:54,160 Speaker 1: or seemingly more beneficial? Like why sexual reproduction at all? 421 00:25:54,320 --> 00:25:57,640 Speaker 1: But anyway, as I understand it, based on what we're 422 00:25:57,640 --> 00:26:01,280 Speaker 1: looking at here, yeah, we have Mueller's which is the 423 00:26:01,280 --> 00:26:07,320 Speaker 1: theoretical process that then could bring us to this end 424 00:26:07,359 --> 00:26:12,200 Speaker 1: game of mutational meltdown. Mutational meltdown in this regard would 425 00:26:12,200 --> 00:26:16,920 Speaker 1: be considered a subclass of an extinction vortex. Extinction vortex 426 00:26:17,000 --> 00:26:23,040 Speaker 1: is a larger classification entailing different environmental, genetic, and demographic factors. 427 00:26:23,920 --> 00:26:27,560 Speaker 1: It's also worth noting and perhaps inflating the obvious here, 428 00:26:27,720 --> 00:26:30,800 Speaker 1: and that is that extinction is in the long term inevitable. 429 00:26:30,920 --> 00:26:34,600 Speaker 1: All species eventually face extinction, and I've read that something 430 00:26:34,720 --> 00:26:37,040 Speaker 1: like more than ninety nine percent of all species to 431 00:26:37,119 --> 00:26:40,720 Speaker 1: ever exist have gone extinct. Again, this is stuff that 432 00:26:41,040 --> 00:26:43,120 Speaker 1: makes perfect sense when you spell it out, but also 433 00:26:43,160 --> 00:26:48,119 Speaker 1: it can sort of mess with your short term, short, 434 00:26:48,560 --> 00:26:51,440 Speaker 1: short lived human brain when you start again thinking about 435 00:26:51,680 --> 00:26:56,280 Speaker 1: the really long term history of life on Earth. So, 436 00:26:56,320 --> 00:26:59,840 Speaker 1: of course, one of the big obvious challenges to exploring 437 00:26:59,840 --> 00:27:02,120 Speaker 1: all of this is that humans have only been around 438 00:27:02,560 --> 00:27:05,120 Speaker 1: on Earth and in a position to look for examples 439 00:27:05,359 --> 00:27:08,879 Speaker 1: of things like mutational meltdown for a very short period 440 00:27:08,920 --> 00:27:14,680 Speaker 1: of time. And if most asexual species or populations don't 441 00:27:14,800 --> 00:27:19,240 Speaker 1: last very long, do you know, theoretically to Muller's ratchet 442 00:27:19,359 --> 00:27:23,680 Speaker 1: or to the stability of sexual reproduction outlined and things 443 00:27:23,720 --> 00:27:27,600 Speaker 1: like the red queen hypothesis, then the various examples of 444 00:27:27,760 --> 00:27:31,960 Speaker 1: ancient asexual species that we have that are more easy, 445 00:27:32,160 --> 00:27:33,840 Speaker 1: you know, to look to, those are going to be 446 00:27:33,960 --> 00:27:37,480 Speaker 1: exceptions to the rule. And then this creates additional additional 447 00:27:37,600 --> 00:27:41,919 Speaker 1: questions arise, well, how has this asexual species been able 448 00:27:42,000 --> 00:27:46,199 Speaker 1: to survive these challenges, these rigors that we're identifying in 449 00:27:46,240 --> 00:27:49,439 Speaker 1: the data here. And you know, one of the sources 450 00:27:49,480 --> 00:27:51,960 Speaker 1: I was looking at two thousand and eights quantifying the 451 00:27:51,960 --> 00:27:55,800 Speaker 1: threat of extinction from Mueller's ratchet in the diploid Amazon 452 00:27:55,880 --> 00:27:59,800 Speaker 1: molly This is from Low and Lamach. They point out that, yeah, 453 00:27:59,840 --> 00:28:03,800 Speaker 1: these species are of considerable interest to researchers for these 454 00:28:03,920 --> 00:28:04,680 Speaker 1: very reasons. 455 00:28:05,320 --> 00:28:06,879 Speaker 2: That would be the Amazon molli. 456 00:28:08,320 --> 00:28:11,680 Speaker 1: Well, just in general, these sorts of species species that. 457 00:28:11,920 --> 00:28:14,800 Speaker 2: Oh I see, yeah, ancient asexual species. 458 00:28:14,880 --> 00:28:18,040 Speaker 1: Sorry, right, in this particular paper, this particular paper that 459 00:28:18,160 --> 00:28:21,080 Speaker 1: the main focus the Amazon mollie, though, is also really interesting. 460 00:28:21,160 --> 00:28:25,480 Speaker 1: This is a small asexual fish species that seems just 461 00:28:25,640 --> 00:28:30,200 Speaker 1: prime for mutational meltdown. However, in modeling out the rate 462 00:28:30,240 --> 00:28:34,280 Speaker 1: of harmful mutations in the species, they ran into what 463 00:28:34,320 --> 00:28:37,320 Speaker 1: they referred to in the paper as a genomic decay paradox. 464 00:28:37,800 --> 00:28:41,120 Speaker 1: So in most of the models they ran, the expected 465 00:28:41,200 --> 00:28:45,120 Speaker 1: time to extinction for this species was less than previous 466 00:28:45,240 --> 00:28:48,040 Speaker 1: estimates on the age of the species, So it would 467 00:28:48,080 --> 00:28:53,480 Speaker 1: seem that the species has outlived its genomic expiration date. 468 00:28:54,440 --> 00:29:01,520 Speaker 1: If Mueller's ratchet and mutational meltdown is indeed a factor 469 00:29:01,960 --> 00:29:06,040 Speaker 1: the author's right quote, several biological processes can individually or 470 00:29:06,080 --> 00:29:10,640 Speaker 1: in combination solve this genomic decay paradox, including paternal leakage 471 00:29:10,680 --> 00:29:15,600 Speaker 1: of undamaged DNA from sexual sister species, compensatory mutations, and 472 00:29:15,680 --> 00:29:18,680 Speaker 1: many others, and they, of course conclude that more research 473 00:29:18,760 --> 00:29:22,880 Speaker 1: is ultimately required. Another paper that looks into all this 474 00:29:23,000 --> 00:29:27,360 Speaker 1: that I found quite interesting was Deleterious mutation Accumulation in 475 00:29:27,440 --> 00:29:31,840 Speaker 1: Asexual Tymema stick Insects by Henry at All, published in 476 00:29:31,920 --> 00:29:36,360 Speaker 1: twenty twelve in Molecular Biology and Evolution. In this paper, 477 00:29:36,400 --> 00:29:42,040 Speaker 1: the researchers look at six independently derived asexual lineages and 478 00:29:42,120 --> 00:29:47,360 Speaker 1: related sexual species of the temma stick insects. So we're 479 00:29:47,360 --> 00:29:51,840 Speaker 1: talking about closely related species, some that reproduce sexually and 480 00:29:51,880 --> 00:29:55,320 Speaker 1: others that reproduce asexually. The idea here, of course, is 481 00:29:55,360 --> 00:29:58,800 Speaker 1: the closeness. They're the related closely related to each other, 482 00:29:59,040 --> 00:30:03,400 Speaker 1: so this would make the accumulation of deletarious mutations stand 483 00:30:03,440 --> 00:30:07,880 Speaker 1: out more in the asexual species versus the sexual species, 484 00:30:08,400 --> 00:30:11,480 Speaker 1: and that seems to be what they found. Quote. We 485 00:30:11,560 --> 00:30:15,560 Speaker 1: found signatures of increased coding mutation accumulation in all six 486 00:30:16,000 --> 00:30:20,200 Speaker 1: asexual tymema and for each of the three analyzed genes, 487 00:30:20,720 --> 00:30:23,840 Speaker 1: with three point six to thirteen point four fold higher 488 00:30:23,960 --> 00:30:28,280 Speaker 1: rates in the asexuals as compared with the sexuals. They 489 00:30:28,360 --> 00:30:31,440 Speaker 1: also point out that the coding mutations and the asexuals 490 00:30:31,440 --> 00:30:35,800 Speaker 1: are likely associated with more strongly deletarious effects than the 491 00:30:35,880 --> 00:30:40,120 Speaker 1: sexuals due to some specific molecular reasons that they outline 492 00:30:40,120 --> 00:30:44,800 Speaker 1: in the article. They conclude that quote deletarious mutation accumulation 493 00:30:45,040 --> 00:30:49,920 Speaker 1: can differentially affect sexual and asexual lineages and support the 494 00:30:49,960 --> 00:30:54,280 Speaker 1: idea that deletarious mutation accumulation plays an important role in 495 00:30:54,360 --> 00:30:57,880 Speaker 1: limiting the long term persistence of all female lineages. 496 00:30:58,320 --> 00:31:01,400 Speaker 2: So, according to this, as we were alluding to earlier, 497 00:31:01,640 --> 00:31:06,680 Speaker 2: a species that's mainly reproducing or totally reproducing asexually and 498 00:31:06,720 --> 00:31:11,120 Speaker 2: just making clonal copies will will tend to one of 499 00:31:11,160 --> 00:31:15,000 Speaker 2: the pressures acting against it will be the tendency to 500 00:31:15,200 --> 00:31:19,400 Speaker 2: build up loads of mutations that are not helpful to survival. 501 00:31:19,880 --> 00:31:23,400 Speaker 1: Yeah, so over time, worse mutations accumulate, and the asexual 502 00:31:23,440 --> 00:31:27,160 Speaker 1: species who do not diversify via sexual recombination, they don't 503 00:31:27,160 --> 00:31:32,840 Speaker 1: purify through purging harmful mutations via sexual reproduction either and 504 00:31:33,200 --> 00:31:36,520 Speaker 1: in fact, the authors here specifically mentioned that sexual reproduction 505 00:31:36,760 --> 00:31:41,680 Speaker 1: enhances the efficiency of purifying selection. This is fascinating, It's 506 00:31:41,720 --> 00:31:44,200 Speaker 1: not I mean, certainly the authors are not arguing that 507 00:31:44,200 --> 00:31:45,720 Speaker 1: this is the case, but it's obviously this is not 508 00:31:45,760 --> 00:31:49,040 Speaker 1: like a smoking gun for the whole idea here, but 509 00:31:49,360 --> 00:31:54,440 Speaker 1: it does seem to give us some interesting evidence to 510 00:31:54,760 --> 00:31:57,200 Speaker 1: back up some of these ideas, though of course also 511 00:31:57,320 --> 00:32:10,520 Speaker 1: raising additional questions about you know, what exactly going on. Now. 512 00:32:10,600 --> 00:32:13,320 Speaker 1: There's a I've mentioned ted Ad before. There's a great 513 00:32:13,400 --> 00:32:17,800 Speaker 1: ted ad video titled no Sex, No Problem, and I 514 00:32:17,920 --> 00:32:21,040 Speaker 1: highly recommend checking that out. It has a nice overview 515 00:32:21,200 --> 00:32:24,760 Speaker 1: of sort of the different the different strategies of asexual 516 00:32:24,840 --> 00:32:28,600 Speaker 1: versus sexual reproduction, and and and briefly mentioned some of 517 00:32:28,640 --> 00:32:31,640 Speaker 1: the concepts we're talking about here. Uh. One thing that 518 00:32:31,680 --> 00:32:34,560 Speaker 1: I thought was interesting in this videos it points out 519 00:32:34,560 --> 00:32:38,840 Speaker 1: that pa fits are a great example of an organism 520 00:32:39,160 --> 00:32:44,400 Speaker 1: that utilizes both sexual reproduction and asexual reproduction. Uh Uh. 521 00:32:44,760 --> 00:32:48,560 Speaker 1: But but depending on what the circumstances are, So with 522 00:32:48,640 --> 00:32:54,160 Speaker 1: these particular a fits, when it's springtime, they are asexual reproducers. 523 00:32:54,480 --> 00:32:56,600 Speaker 1: So it's like it's this is the these are the 524 00:32:56,600 --> 00:32:59,680 Speaker 1: fat times, Like it's it's time to feed, it's time 525 00:32:59,720 --> 00:33:02,160 Speaker 1: to red it's not time to worry too much about, 526 00:33:02,520 --> 00:33:06,520 Speaker 1: you know, differentiating your product. It's about just getting product 527 00:33:06,560 --> 00:33:09,920 Speaker 1: on the shelves, and so that's what they do. But 528 00:33:09,960 --> 00:33:13,360 Speaker 1: then when autumn rolls around, then it's time for sexual reproduction. 529 00:33:13,520 --> 00:33:16,000 Speaker 1: So it's like, Okay, this is our time to think 530 00:33:16,040 --> 00:33:19,880 Speaker 1: about the product. This is our time to get experimental 531 00:33:19,920 --> 00:33:22,680 Speaker 1: and see what we can do to change up our 532 00:33:22,760 --> 00:33:26,000 Speaker 1: offering for the next season. So I thought that was 533 00:33:26,080 --> 00:33:31,600 Speaker 1: just a really really interesting, like single species example that 534 00:33:31,760 --> 00:33:34,640 Speaker 1: kind of sums up some of the benefits and some 535 00:33:34,720 --> 00:33:39,040 Speaker 1: of the costs involved with asexual versus sexual reproduction, Like 536 00:33:39,120 --> 00:33:40,880 Speaker 1: this is not the It's kind of like when you 537 00:33:40,880 --> 00:33:43,680 Speaker 1: think about films in a series, for example, when it's 538 00:33:43,680 --> 00:33:47,000 Speaker 1: time to make Wrong Turn two, you're not necessarily thinking about, well, 539 00:33:47,040 --> 00:33:49,040 Speaker 1: how am I going to recreate? No, you don't recreate. 540 00:33:49,080 --> 00:33:52,000 Speaker 1: You just do what worked the first time, accept more 541 00:33:52,040 --> 00:33:55,440 Speaker 1: of it. This is the springtime of the wrong term franchise. 542 00:33:56,000 --> 00:33:58,480 Speaker 1: Much later, when it's run out of gas, that's when 543 00:33:58,520 --> 00:34:00,840 Speaker 1: you can you can sit down and think, yeah, that's 544 00:34:00,840 --> 00:34:03,040 Speaker 1: when you can be like, how do we reanalyze this, 545 00:34:03,080 --> 00:34:06,840 Speaker 1: how do we reconceptualize Wrong Turn for a new audience? 546 00:34:06,880 --> 00:34:09,200 Speaker 1: And maybe we can hire Matthew Modine to be in 547 00:34:09,239 --> 00:34:10,279 Speaker 1: it too, and. 548 00:34:10,200 --> 00:34:13,080 Speaker 2: It makes sense they both be part of your content strategy, 549 00:34:13,120 --> 00:34:15,440 Speaker 2: you know. Sometimes you do reruns, sometimes you do a 550 00:34:15,440 --> 00:34:16,320 Speaker 2: crossover event. 551 00:34:16,880 --> 00:34:20,080 Speaker 1: Yeah. No, I haven't actually seen a Wrong Turn movie, 552 00:34:20,120 --> 00:34:22,840 Speaker 1: So please don't go out and see these movies just 553 00:34:22,840 --> 00:34:24,600 Speaker 1: based on me casually mention them. 554 00:34:24,600 --> 00:34:29,040 Speaker 2: Here Rob wrongly recommends the Wrong Turn franchise. I can't 555 00:34:29,120 --> 00:34:31,040 Speaker 2: remember if I have or not. Is it is that 556 00:34:31,160 --> 00:34:33,359 Speaker 2: the one there's like a guy in a muscle car 557 00:34:33,400 --> 00:34:35,640 Speaker 2: who drives into the woods and then they meet some 558 00:34:36,120 --> 00:34:37,960 Speaker 2: I don't know some people and they get chased by 559 00:34:38,360 --> 00:34:39,280 Speaker 2: dudes with hatchets. 560 00:34:39,880 --> 00:34:42,560 Speaker 1: That sounds likely. I think that it's basically it's the 561 00:34:42,640 --> 00:34:45,239 Speaker 1: hills have Eyes except in the woods. And there's like 562 00:34:45,280 --> 00:34:48,160 Speaker 1: a million of these films. It's one of there's something 563 00:34:48,200 --> 00:34:50,200 Speaker 1: always kind of alarming to me when I realized there's 564 00:34:50,320 --> 00:34:54,319 Speaker 1: like a whole franchise that has been around for years 565 00:34:54,360 --> 00:34:56,719 Speaker 1: and years and I just not only have I not 566 00:34:56,760 --> 00:34:58,640 Speaker 1: seen them, but I just have just a very surface 567 00:34:58,719 --> 00:35:02,000 Speaker 1: level understanding of what they're about, you know, like I've 568 00:35:02,040 --> 00:35:04,920 Speaker 1: maybe never even seen a trailer for one of them. 569 00:35:05,360 --> 00:35:07,200 Speaker 2: Yeah, there are a lot of series like that, and 570 00:35:08,360 --> 00:35:10,799 Speaker 2: I understand what you mean, Like it can be alarming, Like, oh, 571 00:35:10,840 --> 00:35:13,560 Speaker 2: I didn't even see the first Purge. We're on Purged 572 00:35:14,080 --> 00:35:16,799 Speaker 2: nine now, this is Yeah, I don't know what's going on. 573 00:35:18,000 --> 00:35:20,080 Speaker 2: I kind of can't start at this point. I'm not 574 00:35:20,080 --> 00:35:21,160 Speaker 2: going to see these movies. 575 00:35:21,640 --> 00:35:24,920 Speaker 1: Yeah, the Purge franchise, which I haven't seen any of 576 00:35:24,960 --> 00:35:27,839 Speaker 1: those either, but I've read a bit more about them, 577 00:35:27,880 --> 00:35:30,919 Speaker 1: so I'm kind of intrigued by the way it has 578 00:35:31,080 --> 00:35:34,279 Speaker 1: survived thus far. It seems like it is a franchise 579 00:35:34,320 --> 00:35:38,200 Speaker 1: that definitely has its springtime and autumn cycles of how 580 00:35:38,239 --> 00:35:41,000 Speaker 1: it puts out new content, Like some of these seem 581 00:35:41,120 --> 00:35:43,640 Speaker 1: like definite, like Okay, it's time for another Purge, and 582 00:35:43,640 --> 00:35:45,760 Speaker 1: then other times it's like what can we do different 583 00:35:45,840 --> 00:35:48,000 Speaker 1: with the Purge this time? And then it's like cut 584 00:35:48,040 --> 00:35:50,480 Speaker 1: that we're doing a TV series, so just like ten 585 00:35:50,560 --> 00:35:53,839 Speaker 1: the Purges, and then we'll work about innovating after that. 586 00:35:54,560 --> 00:35:58,400 Speaker 2: I like that you have read about the Purge. I 587 00:35:58,400 --> 00:36:02,319 Speaker 2: haven't seen it, but you've on some research. Well, you know, it. 588 00:36:03,000 --> 00:36:05,360 Speaker 1: Feels like it has more of a you know, you 589 00:36:06,120 --> 00:36:07,960 Speaker 1: got to stay on top of culture, so you got 590 00:36:08,000 --> 00:36:10,880 Speaker 1: to read about the Purge, whereas somehow Wrong Turn movies 591 00:36:11,239 --> 00:36:14,799 Speaker 1: maybe were less important culturally, or so it seems to me. 592 00:36:15,200 --> 00:36:17,839 Speaker 2: Wrong Turn movies, i'd say, are less high concept because 593 00:36:17,920 --> 00:36:21,919 Speaker 2: Purge has an elevator pitch right there, unless I misunderstand 594 00:36:22,080 --> 00:36:24,600 Speaker 2: the idea is all crime is legal on one night. 595 00:36:24,960 --> 00:36:28,440 Speaker 1: Yeah, yeah, okay, so, and I think it lends itself 596 00:36:28,680 --> 00:36:31,360 Speaker 1: well to referencing. You can be like, oh, wow, I 597 00:36:31,440 --> 00:36:33,600 Speaker 1: tried to drive across town the other day and it 598 00:36:33,640 --> 00:36:35,879 Speaker 1: was like the Purge out there. You know, that makes sense. 599 00:36:35,880 --> 00:36:38,000 Speaker 1: It's like you're saying something about how bad traffic was. 600 00:36:38,040 --> 00:36:41,120 Speaker 1: But I don't know, Wrong Turn franchises maybe just a 601 00:36:41,160 --> 00:36:44,680 Speaker 1: little harder to you know, bring into your daily life. 602 00:36:45,120 --> 00:36:47,799 Speaker 2: I guess some organisms also have more of an elevator 603 00:36:47,840 --> 00:36:51,560 Speaker 2: pitch quality to them, though, you know, like the platypus. 604 00:36:51,960 --> 00:36:54,440 Speaker 2: It is it is a furry, poisonous duck. 605 00:36:56,000 --> 00:36:57,759 Speaker 1: But it's also kind of high concept. 606 00:36:58,920 --> 00:37:01,440 Speaker 2: Yeah that's what I'm saying. Yeah, it's high concept. 607 00:37:01,840 --> 00:37:04,080 Speaker 1: Yeah, good creature. Have we ever done an episode on 608 00:37:04,160 --> 00:37:07,600 Speaker 1: the Platypus? I can't recall. Of course, it's diversified enough 609 00:37:07,640 --> 00:37:11,600 Speaker 1: that it's inevitably come up at least in passing in 610 00:37:11,640 --> 00:37:12,799 Speaker 1: any number of episodes. 611 00:37:13,080 --> 00:37:14,560 Speaker 2: I don't know if we have. I just really I 612 00:37:15,160 --> 00:37:19,000 Speaker 2: said poisonous, but I think the correct word would be venomous. 613 00:37:20,480 --> 00:37:22,080 Speaker 2: I don't know. We'll have to sort that out later. 614 00:37:22,480 --> 00:37:24,880 Speaker 1: All right, Well, on that note, I think we have 615 00:37:25,280 --> 00:37:30,120 Speaker 1: we have reached mutational meltdown for this episode. But we'd 616 00:37:30,120 --> 00:37:32,240 Speaker 1: love to hear from everyone out there. I mean, especially 617 00:37:32,320 --> 00:37:36,120 Speaker 1: if there's anyone out there who is in the field 618 00:37:36,200 --> 00:37:40,760 Speaker 1: of evolutionary biology. Perhaps you have some additional feedback, additional 619 00:37:40,800 --> 00:37:42,440 Speaker 1: examples you'd like to bring to mind. 620 00:37:43,120 --> 00:37:43,560 Speaker 2: Let us know. 621 00:37:43,640 --> 00:37:47,160 Speaker 1: You know, this is a topic that it caught my attention, 622 00:37:47,440 --> 00:37:50,759 Speaker 1: but I'd love to see some more data on it. 623 00:37:50,760 --> 00:37:53,360 Speaker 1: I'd love to see some more studies of note. In 624 00:37:53,440 --> 00:37:55,839 Speaker 1: the meantime, will remind you that Stuff to Blow Your 625 00:37:55,840 --> 00:37:59,080 Speaker 1: Mind is primarily a science podcast, with core episodes on 626 00:37:59,120 --> 00:38:02,120 Speaker 1: Tuesdays and Thursday Days. On Mondays we do listener mail, 627 00:38:02,160 --> 00:38:05,080 Speaker 1: on Wednesdays we do a short form artifact or monster fact, 628 00:38:05,520 --> 00:38:08,000 Speaker 1: and on Fridays we set aside most serious concerns to 629 00:38:08,080 --> 00:38:10,120 Speaker 1: just talk about a weird film on Weird House Cinema. 630 00:38:10,160 --> 00:38:13,680 Speaker 1: That's usually where our discussions of films about mutants would 631 00:38:13,760 --> 00:38:19,879 Speaker 1: wind up, but sometimes those mutations accumulate in the core 632 00:38:19,960 --> 00:38:20,879 Speaker 1: episodes as well. 633 00:38:21,280 --> 00:38:24,600 Speaker 2: Huge thanks to our audio producer JJ Posway. If you 634 00:38:24,600 --> 00:38:26,719 Speaker 2: would like to get in touch with us with feedback 635 00:38:26,719 --> 00:38:29,000 Speaker 2: on this episode or any other, to suggest a topic 636 00:38:29,040 --> 00:38:30,920 Speaker 2: for the future, or just to say hello, you can 637 00:38:31,000 --> 00:38:34,160 Speaker 2: email us at contact at stuff to Blow your Mind 638 00:38:34,320 --> 00:38:42,239 Speaker 2: dot com. 639 00:38:42,360 --> 00:38:45,279 Speaker 3: Stuff to Blow Your Mind is production of iHeartRadio. For 640 00:38:45,360 --> 00:38:48,160 Speaker 3: more podcasts from my Heart Radio, visit the iHeartRadio app, 641 00:38:48,320 --> 00:39:00,000 Speaker 3: Apple Podcasts, or wherever you listen to your favorite shows. 642 00:39:00,080 --> 00:39:03,360 Speaker 1: Said to wait. We had to write, to write, Tote 643 00:39:03,360 --> 00:39:03,720 Speaker 1: tot