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These are the user uploaded subtitles that are being translated: 1 00:00:09,664 --> 00:00:14,635 This planet is home to over a billion dogs. 2 00:00:14,669 --> 00:00:17,431 So in the U.S.A., there's more than 75 million dogs alone. 3 00:00:19,502 --> 00:00:20,641 They're everywhere now. 4 00:00:22,470 --> 00:00:25,163 They are really special animals. 5 00:00:25,197 --> 00:00:26,854 Pickles! 6 00:00:26,888 --> 00:00:28,718 They're more than just great pets... 7 00:00:28,752 --> 00:00:29,822 That's my girl. 8 00:00:29,857 --> 00:00:30,823 Mm, love you, too. 9 00:00:32,860 --> 00:00:35,483 Dogs have helped make humans better hunters. 10 00:00:35,518 --> 00:00:38,590 Better farmers. 11 00:00:38,624 --> 00:00:42,076 They protect people from danger. 12 00:00:42,111 --> 00:00:45,390 And might even save them from themselves. 13 00:00:45,424 --> 00:00:48,600 You can hug your dog. 14 00:00:48,634 --> 00:00:50,326 The dogs change so many of them. 15 00:00:50,360 --> 00:00:52,880 It's amazing. 16 00:00:52,914 --> 00:00:57,160 What makes dogs so special? 17 00:00:59,749 --> 00:01:03,028 Discoveries in genetics and behavioral science 18 00:01:03,063 --> 00:01:06,618 are now starting to unlock their secrets. 19 00:01:06,652 --> 00:01:09,759 The last decade in dog science 20 00:01:09,793 --> 00:01:12,865 has been the most exciting there's ever been. 21 00:01:12,900 --> 00:01:14,039 This is just the most amazing time 22 00:01:14,074 --> 00:01:15,627 to be a dog scientist. 23 00:01:18,008 --> 00:01:21,219 Where did they come from? 24 00:01:21,253 --> 00:01:25,706 How did they evolve from wild beast 25 00:01:25,740 --> 00:01:27,777 to lapdog? 26 00:01:27,811 --> 00:01:30,711 Fox behavior looks like dog. 27 00:01:30,745 --> 00:01:33,921 It's impossible not love them. 28 00:01:36,165 --> 00:01:37,614 How can dogs look so different, 29 00:01:37,649 --> 00:01:41,515 yet still be dogs? 30 00:01:41,549 --> 00:01:43,965 What lies behind a dog's affection for humans? 31 00:01:44,000 --> 00:01:48,073 Are dogs living with us because we feed them, 32 00:01:48,108 --> 00:01:51,041 or are they living with us because they love us? 33 00:01:52,802 --> 00:01:54,114 And could the answer 34 00:01:54,148 --> 00:01:57,945 finally explain our species' enduring friendship? 35 00:01:59,878 --> 00:02:02,398 I feel that we've cracked the puzzle of domestication. 36 00:02:05,608 --> 00:02:07,334 "Dog Tales." 37 00:02:07,368 --> 00:02:11,855 Right now, on "NOVA." 38 00:02:23,798 --> 00:02:25,490 Humanity's best friend: 39 00:02:25,524 --> 00:02:27,457 the dog. 40 00:02:30,426 --> 00:02:33,774 They come in all shapes and sizes. 41 00:02:33,808 --> 00:02:35,810 But whatever the breed, 42 00:02:35,845 --> 00:02:38,848 a pooch can make you feel like a million bucks. 43 00:02:38,882 --> 00:02:40,229 Hug. 44 00:02:40,263 --> 00:02:41,299 Good girl. 45 00:02:41,333 --> 00:02:42,990 They bring me so much 46 00:02:43,024 --> 00:02:45,751 happiness and companionship. 47 00:02:47,546 --> 00:02:49,928 I would dive in front of traffic for her. 48 00:02:49,962 --> 00:02:51,274 I would do anything for her. 49 00:02:52,758 --> 00:02:55,934 Dogs and humans. 50 00:02:55,968 --> 00:02:59,938 We're the best duo in all of evolutionary history. 51 00:03:01,629 --> 00:03:03,804 It's humanity's oldest friend. 52 00:03:06,324 --> 00:03:07,946 The roots of our relationship 53 00:03:07,980 --> 00:03:10,397 have long been a mystery. 54 00:03:10,431 --> 00:03:14,539 But now, scientists are making extraordinary breakthroughs. 55 00:03:14,573 --> 00:03:17,542 Y'all let me know when she's ready, and I'll start. 56 00:03:17,576 --> 00:03:20,993 They're coming to the conclusion 57 00:03:21,028 --> 00:03:23,306 that the bond between our species 58 00:03:23,341 --> 00:03:25,688 runs even deeper than we thought. 59 00:03:25,722 --> 00:03:30,624 And might explain how these once-wild animals 60 00:03:30,658 --> 00:03:33,420 became humanity's perfect partner. 61 00:03:50,264 --> 00:03:51,541 It's easy to love dogs. 62 00:03:51,576 --> 00:03:52,542 That's my girl. 63 00:03:52,577 --> 00:03:53,923 Mm, love you, too. 64 00:03:53,957 --> 00:03:57,444 But how do they feel about humans? 65 00:03:57,478 --> 00:04:01,171 It certainly looks like love, 66 00:04:01,206 --> 00:04:03,898 but could they just be in it for the food? 67 00:04:03,933 --> 00:04:07,730 Seems like an impossible question to answer. 68 00:04:07,764 --> 00:04:11,699 We can't ask them, but could we read their minds? 69 00:04:18,672 --> 00:04:23,332 Here in Atlanta, a unique experiment is underway. 70 00:04:26,300 --> 00:04:29,648 Kaylin is visiting Emory University. 71 00:04:30,891 --> 00:04:32,306 Good girl, all righty. 72 00:04:32,341 --> 00:04:34,274 Good morning! 73 00:04:34,308 --> 00:04:36,103 Hey! 74 00:04:36,137 --> 00:04:37,311 Hey, Kaylin. 75 00:04:37,346 --> 00:04:38,554 Good to see you. 76 00:04:38,588 --> 00:04:40,314 She's part of a special project 77 00:04:40,349 --> 00:04:41,626 run by Gregory Berns. 78 00:04:41,660 --> 00:04:42,903 I know. 79 00:04:42,937 --> 00:04:48,322 Okay, yeah, so are we going to do some work today? 80 00:04:48,357 --> 00:04:52,222 He's attempting to resolve the biggest question about dogs. 81 00:04:52,257 --> 00:04:54,259 The party line would say 82 00:04:54,294 --> 00:04:56,434 that dogs, in some way, are scam artists. 83 00:04:56,468 --> 00:04:59,989 That in fact the only reason that they live with us 84 00:05:00,023 --> 00:05:02,819 is because we feed them and because we provide shelter. 85 00:05:04,890 --> 00:05:06,513 She is ready. 86 00:05:06,547 --> 00:05:09,792 So the core of this project is the questions 87 00:05:09,826 --> 00:05:13,623 are dogs living with us because we feed them 88 00:05:13,658 --> 00:05:16,385 or are they living with us because they love us? 89 00:05:18,248 --> 00:05:21,321 And to me, that's all the difference in the world. 90 00:05:22,908 --> 00:05:26,084 To understand just what a dog is thinking, 91 00:05:26,118 --> 00:05:29,881 Gregory has trained them to lie in a brain-imaging MRI machine. 92 00:05:29,915 --> 00:05:31,883 Good girl, okay. 93 00:05:31,917 --> 00:05:32,987 You know, the traditional ways 94 00:05:33,022 --> 00:05:35,093 to understand what dogs are thinking 95 00:05:35,127 --> 00:05:36,612 is to look at their behavior. 96 00:05:38,165 --> 00:05:40,270 But the problem with that 97 00:05:40,305 --> 00:05:43,308 is that dogs will often do things we don't expect. 98 00:05:43,343 --> 00:05:44,758 Brain imaging gets around these problems 99 00:05:44,792 --> 00:05:48,106 by going directly to the brain, and, in essence, 100 00:05:48,140 --> 00:05:51,454 bypassing behavior and go directly to the organ 101 00:05:51,489 --> 00:05:53,283 that causes everything to happen. 102 00:05:59,428 --> 00:06:00,705 The dogs in the study 103 00:06:00,739 --> 00:06:02,948 are trained to relate toys to different outcomes. 104 00:06:06,435 --> 00:06:10,162 When they see a pink car, the dogs learn to expect praise. 105 00:06:15,271 --> 00:06:18,757 When it sees a blue knight, 106 00:06:18,792 --> 00:06:20,518 it learns to expect some sausage. 107 00:06:27,041 --> 00:06:28,249 By comparing those two conditions... 108 00:06:28,284 --> 00:06:30,390 the anticipation, in particular... 109 00:06:30,424 --> 00:06:32,253 to food versus human, 110 00:06:32,288 --> 00:06:35,084 we can go in and look at the reward system of the brain 111 00:06:35,118 --> 00:06:37,293 and see which one is higher or not, 112 00:06:37,327 --> 00:06:39,019 or they equal, perhaps? 113 00:06:43,057 --> 00:06:45,301 The level of pleasure the dog experiences 114 00:06:45,335 --> 00:06:48,822 is determined by the amount of the neurotransmitter dopamine 115 00:06:48,856 --> 00:06:50,617 the brain releases, 116 00:06:50,651 --> 00:06:53,171 revealed on the scan by increased blood flow 117 00:06:53,205 --> 00:06:54,828 to specific regions. 118 00:06:56,208 --> 00:06:59,729 Good girl... stay. 119 00:06:59,764 --> 00:07:01,386 So, Laurie, 120 00:07:01,421 --> 00:07:03,975 if you want to fade out of view, and then we'll do the toys. 121 00:07:07,185 --> 00:07:09,187 Gregory has conducted this experiment 122 00:07:09,221 --> 00:07:11,638 on numerous dogs. 123 00:07:13,640 --> 00:07:15,469 And the scans are a revelation. 124 00:07:18,748 --> 00:07:21,475 So, these colored areas represent what dogs' brains do 125 00:07:21,510 --> 00:07:23,788 when they're anticipating food. 126 00:07:23,822 --> 00:07:25,479 It actually isn't showing very much happening, 127 00:07:25,514 --> 00:07:27,895 which means that on average, the dogs probably 128 00:07:27,930 --> 00:07:30,277 didn't care as much about the food as we thought. 129 00:07:32,521 --> 00:07:34,281 But, when expecting praise... 130 00:07:37,526 --> 00:07:41,599 The dopamine levels are regularly higher. 131 00:07:41,633 --> 00:07:44,636 Now we actually do see quite a bit of activity. 132 00:07:44,671 --> 00:07:46,569 What that speaks to is the fact that praise 133 00:07:46,604 --> 00:07:48,951 is very interesting to the dogs. 134 00:07:48,985 --> 00:07:51,229 Did they get one? 135 00:07:51,263 --> 00:07:52,610 That was a good job! 136 00:07:52,644 --> 00:07:55,371 The brain scans show unambiguously 137 00:07:55,405 --> 00:07:59,168 that most dogs love praise just as much as food. 138 00:07:59,202 --> 00:08:02,999 And some dogs love praise even more. 139 00:08:03,034 --> 00:08:05,864 Good girl. 140 00:08:05,899 --> 00:08:07,487 Who's a good girl? 141 00:08:07,521 --> 00:08:09,074 You are. 142 00:08:09,109 --> 00:08:10,835 These results show that a social bond 143 00:08:10,869 --> 00:08:14,701 is as strong as the food that we're providing to the dogs, 144 00:08:14,735 --> 00:08:18,877 and that it's intrinsically rewarding in and of itself. 145 00:08:18,912 --> 00:08:22,329 And, to me, that's about as close as you can say 146 00:08:22,363 --> 00:08:23,675 that a dog loves you. 147 00:08:27,023 --> 00:08:31,856 They are really special animals. 148 00:08:31,890 --> 00:08:34,686 Our relationship from a species-to-species level 149 00:08:34,721 --> 00:08:37,724 just seems to be so amazing and enmeshed. 150 00:08:37,758 --> 00:08:40,347 So some may ask, 151 00:08:40,381 --> 00:08:42,556 "How did humans ever come to find 152 00:08:42,591 --> 00:08:45,214 "an animal that seems perfectly fit for us? 153 00:08:45,248 --> 00:08:47,872 How did they ever come to exist?" 154 00:08:50,391 --> 00:08:52,808 The answer to this canine mystery 155 00:08:52,842 --> 00:08:55,673 lies in the distant past, 156 00:08:55,707 --> 00:08:57,640 with an animal not known for friendliness. 157 00:09:00,988 --> 00:09:03,439 The wolf. 158 00:09:06,649 --> 00:09:09,963 Folklore is filled with tales of these frightening predators. 159 00:09:09,997 --> 00:09:12,448 Even today, a wolf's eerie howl can freeze blood. 160 00:09:15,278 --> 00:09:18,627 Yet genetic research has revealed that all dogs 161 00:09:18,661 --> 00:09:22,078 originally evolved from the gray wolf... 162 00:09:23,873 --> 00:09:25,150 An animal that has roamed 163 00:09:25,185 --> 00:09:27,670 the breadth of the Northern Hemisphere 164 00:09:27,705 --> 00:09:32,261 for at least 300,000 years. 165 00:09:34,504 --> 00:09:37,093 The gray wolf may look like a modern dog, 166 00:09:37,128 --> 00:09:40,441 but it's a very different creature... 167 00:09:40,476 --> 00:09:42,616 an apex predator... 168 00:09:44,342 --> 00:09:46,344 And ruthless carnivore 169 00:09:46,378 --> 00:09:48,657 with a bone-splintering bite. 170 00:09:51,142 --> 00:09:54,628 So how did that... 171 00:09:56,803 --> 00:09:59,081 Give rise to this? 172 00:10:09,954 --> 00:10:13,613 At the Royal Belgian Institute of Natural Sciences, 173 00:10:13,647 --> 00:10:16,719 paleontologist Mietje Germonpré 174 00:10:16,754 --> 00:10:20,171 oversees a collection of Ice Age wolf bones. 175 00:10:20,205 --> 00:10:23,761 So, I have here a skull of a typical wild wolf. 176 00:10:23,795 --> 00:10:27,419 So, it's a big skull, it's from a big animal. 177 00:10:27,454 --> 00:10:32,252 And what is very special is this long, elongated snout. 178 00:10:32,286 --> 00:10:37,429 Now, I will show you a skull of a modern dog. 179 00:10:39,431 --> 00:10:41,399 So, you see immediately 180 00:10:41,433 --> 00:10:46,231 that the snout is much shorter and wider. 181 00:10:48,026 --> 00:10:51,098 The relative proportions of the skulls of wolves and dogs 182 00:10:51,133 --> 00:10:53,825 are markedly different. 183 00:11:01,902 --> 00:11:03,421 But in 2008, 184 00:11:03,455 --> 00:11:06,666 Mietje made an intriguing discovery. 185 00:11:06,700 --> 00:11:10,359 She was studying a 30,000-year-old wolf skull 186 00:11:10,393 --> 00:11:12,568 called the Goyet skull, 187 00:11:12,602 --> 00:11:14,535 named after the cave it had been excavated from 188 00:11:14,570 --> 00:11:17,021 in the 19th century. 189 00:11:17,055 --> 00:11:19,437 At that time, the discoverers thought 190 00:11:19,471 --> 00:11:22,129 it was the skull of a wolf. 191 00:11:22,164 --> 00:11:24,373 But I was not very happy with that 192 00:11:24,407 --> 00:11:28,757 because it looked different to me. 193 00:11:28,791 --> 00:11:32,277 Mietje's careful measurements 194 00:11:32,312 --> 00:11:34,901 backed up her hunch. 195 00:11:34,935 --> 00:11:39,250 This was no ordinary wolf. 196 00:11:39,284 --> 00:11:42,046 This skull is clearly smaller 197 00:11:42,080 --> 00:11:44,393 than the skull of wild wolves. 198 00:11:44,427 --> 00:11:48,604 The snout is wider and shorter. 199 00:11:48,638 --> 00:11:52,194 More comparable to the skull of the modern dogs. 200 00:11:54,472 --> 00:11:56,232 The shape of the wolf skull 201 00:11:56,267 --> 00:12:01,203 seemed to be halfway between a wolf and a modern dog: 202 00:12:01,237 --> 00:12:03,826 a proto-dog. 203 00:12:03,861 --> 00:12:06,587 The Goyet skull was not unique. 204 00:12:08,589 --> 00:12:11,006 Hunting through other European collections, 205 00:12:11,040 --> 00:12:14,561 Mietje uncovered more dog-like wolf skulls, 206 00:12:14,595 --> 00:12:18,979 also around 30,000 years old. 207 00:12:19,014 --> 00:12:23,294 Could these strange-shaped European wolves 208 00:12:23,328 --> 00:12:26,331 be the ancestors of modern dogs? 209 00:12:29,645 --> 00:12:32,959 Bones alone cannot answer that question. 210 00:12:32,993 --> 00:12:37,204 Scientists would need a much more precise tool. 211 00:12:39,689 --> 00:12:44,039 Oxford University is home to the PalaeoBarn DNA laboratory. 212 00:12:45,834 --> 00:12:49,216 Greger Larson is the lead researcher. 213 00:12:49,251 --> 00:12:50,459 We are trying 214 00:12:50,493 --> 00:12:52,875 to establish a pattern through time and space 215 00:12:52,910 --> 00:12:55,636 of the different genetic signatures 216 00:12:55,671 --> 00:12:57,500 that dog populations and wolf populations have had 217 00:12:57,535 --> 00:13:00,158 across the world over the last 20,000 to 30,000 years. 218 00:13:03,265 --> 00:13:05,370 Thanks to recent advances in sampling technology, 219 00:13:05,405 --> 00:13:08,511 forensic DNA examinations 220 00:13:08,546 --> 00:13:11,342 can now be conducted on prehistoric bone... 221 00:13:13,965 --> 00:13:15,070 Allowing them to compare 222 00:13:15,104 --> 00:13:18,176 Mietje's 30,000-year-old specimens 223 00:13:18,211 --> 00:13:23,181 to modern dog DNA. 224 00:13:23,216 --> 00:13:26,288 If dog domestication took place 30,000 years ago, 225 00:13:26,322 --> 00:13:28,600 and there was an unbroken line between those dogs 226 00:13:28,635 --> 00:13:29,878 and the dogs that we currently have 227 00:13:29,912 --> 00:13:31,017 sleeping on our sofas, 228 00:13:31,051 --> 00:13:32,156 then you would expect 229 00:13:32,190 --> 00:13:34,641 that the genetics of those dogs 30,000 years ago 230 00:13:34,675 --> 00:13:36,194 would match the modern populations. 231 00:13:37,609 --> 00:13:39,819 But the limited genetic information that we have 232 00:13:39,853 --> 00:13:43,270 from the canids that would be dogs from 30,000 years ago 233 00:13:43,305 --> 00:13:44,893 doesn't match modern dogs at all. 234 00:13:47,792 --> 00:13:49,967 Mietje's 30,000-year-old European proto-dogs 235 00:13:50,001 --> 00:13:54,972 appear to have left no descendants. 236 00:13:56,628 --> 00:13:59,424 But Greger's team also tested samples 237 00:13:59,459 --> 00:14:02,082 from nearly 100 other prehistoric canids. 238 00:14:02,117 --> 00:14:04,982 And in this data, they have found 239 00:14:05,016 --> 00:14:09,676 the earliest known ancestors of modern dogs. 240 00:14:09,710 --> 00:14:12,230 Between 12,000 and 15,000 or 16,000 years ago, 241 00:14:12,265 --> 00:14:14,336 we do find specimens that are starting to possess 242 00:14:14,370 --> 00:14:15,993 genetic signatures that match those 243 00:14:16,027 --> 00:14:17,787 that we find in modern populations. 244 00:14:20,100 --> 00:14:24,035 But it isn't as simple as a single ancestral line. 245 00:14:24,070 --> 00:14:27,349 They found several spread across Eurasia. 246 00:14:27,383 --> 00:14:29,247 So it looks like, within dogs, 247 00:14:29,282 --> 00:14:33,251 we have three geographically partitioned populations 248 00:14:33,286 --> 00:14:36,910 that are differentiated genetically and geographically. 249 00:14:36,945 --> 00:14:40,086 The three ancestral dog populations 250 00:14:40,120 --> 00:14:43,089 and Mietje's extinct proto-dogs 251 00:14:43,123 --> 00:14:45,954 do, however, share one thing in common, 252 00:14:45,988 --> 00:14:47,093 something that may give a clue 253 00:14:47,127 --> 00:14:49,681 to how dogs appeared in the first place: 254 00:14:49,716 --> 00:14:51,856 They were all found at sites 255 00:14:51,891 --> 00:14:55,135 associated with another creature... 256 00:14:55,170 --> 00:14:56,654 humans. 257 00:14:58,794 --> 00:15:02,039 Archaeological evidence shows that 40,000 years ago, 258 00:15:02,073 --> 00:15:05,697 modern humans began moving into Northern Eurasia, 259 00:15:05,732 --> 00:15:09,391 replacing the Neanderthals who came before them, 260 00:15:09,425 --> 00:15:11,876 and apparently initiating a transformation 261 00:15:11,911 --> 00:15:13,947 in the wolves they encountered. 262 00:15:13,982 --> 00:15:17,813 Really, something is, was going on there. 263 00:15:17,847 --> 00:15:21,127 Once modern humans arrived in Europe, 264 00:15:21,161 --> 00:15:23,439 we see that the wolf remains start to change. 265 00:15:26,132 --> 00:15:28,651 The evidence suggests dog-like wolves 266 00:15:28,686 --> 00:15:32,276 may have appeared several times over the thousands of years 267 00:15:32,310 --> 00:15:33,277 since people arrived, 268 00:15:33,311 --> 00:15:36,349 always in places where wolves and humans 269 00:15:36,383 --> 00:15:39,076 shared hunting grounds. 270 00:15:39,110 --> 00:15:40,663 The formation of a close relationship 271 00:15:40,698 --> 00:15:42,527 between people and wolves 272 00:15:42,562 --> 00:15:44,805 led to dogs, because that's what dogs are. 273 00:15:44,840 --> 00:15:47,498 They are an emergent property of a very close relationship 274 00:15:47,532 --> 00:15:49,949 between wolf populations and human populations. 275 00:15:54,988 --> 00:15:57,163 But how did it happen? 276 00:15:57,197 --> 00:16:00,718 How does a wild animal become a domesticated pet? 277 00:16:00,752 --> 00:16:05,930 The answer may be found not with lifeless bones, 278 00:16:05,965 --> 00:16:09,761 but with the help of one of the wolf's distant living relatives, 279 00:16:09,796 --> 00:16:14,559 the fox. 280 00:16:15,871 --> 00:16:19,702 Almost 2,000 miles east of Moscow lies the location 281 00:16:19,737 --> 00:16:24,500 of a unique experiment in domestication. 282 00:16:26,019 --> 00:16:28,021 On this isolated farm, 283 00:16:28,056 --> 00:16:30,817 Russian scientists have been breeding foxes 284 00:16:30,851 --> 00:16:34,165 for more than 60 years. 285 00:16:36,167 --> 00:16:37,962 Their aim has been to better understand 286 00:16:37,997 --> 00:16:42,035 the effect of human contact on wild animals. 287 00:16:45,935 --> 00:16:47,696 Today, the foxes are being inspected 288 00:16:47,730 --> 00:16:51,389 by scientists Anastasiya Kharlamova 289 00:16:51,424 --> 00:16:54,013 and Daria Shepeleva. 290 00:16:54,047 --> 00:16:56,567 The experiment starts 291 00:16:56,601 --> 00:17:01,020 with a population of untamed silver foxes. 292 00:17:01,054 --> 00:17:03,643 Each one is subjected to a simple test 293 00:17:03,677 --> 00:17:05,783 of human toleration. 294 00:17:05,817 --> 00:17:09,097 To understand the reaction of animals toward human, 295 00:17:09,131 --> 00:17:13,066 we need to open the door and try to, 296 00:17:13,101 --> 00:17:16,690 try to put our hand inside the cage. 297 00:17:17,933 --> 00:17:20,073 Ooh. 298 00:17:20,108 --> 00:17:21,454 They are testing the strength 299 00:17:21,488 --> 00:17:24,077 of each fox's adrenal fight-or-flight response. 300 00:17:25,906 --> 00:17:27,011 He afraid, 301 00:17:27,046 --> 00:17:30,566 but he demonstrates the aggressive reaction. 302 00:17:33,328 --> 00:17:34,708 The level of reaction depends 303 00:17:34,743 --> 00:17:39,748 on the size of the individual animal's adrenal gland. 304 00:17:41,681 --> 00:17:42,923 Within a population, 305 00:17:42,958 --> 00:17:47,376 there is always a range of responses. 306 00:17:47,411 --> 00:17:52,692 This fox is calm, without any aggressive sounds. 307 00:17:52,726 --> 00:17:56,696 I can touch it, and the fox doesn't bite me. 308 00:17:58,801 --> 00:18:01,908 But this one demonstrate more fear reaction 309 00:18:01,942 --> 00:18:04,876 without aggressive reaction. 310 00:18:08,432 --> 00:18:15,508 She demonstrate some interest in moving toward me. 311 00:18:18,718 --> 00:18:24,241 How each fox responds determines its future. 312 00:18:26,933 --> 00:18:29,591 Once a year, the foxes are bred. 313 00:18:29,625 --> 00:18:32,870 Around five to 20% of the most extreme 314 00:18:32,904 --> 00:18:36,701 of both tolerant and intolerant foxes 315 00:18:36,736 --> 00:18:39,532 are chosen to seed new populations. 316 00:18:44,053 --> 00:18:47,160 After just ten generations of this selective breeding, 317 00:18:47,195 --> 00:18:50,163 the results are obvious and dramatic. 318 00:18:52,234 --> 00:18:55,927 This shed contains foxes bred for intolerance. 319 00:18:57,515 --> 00:19:01,726 All of them are extremely aggressive. 320 00:19:05,903 --> 00:19:09,286 This one will try to bite me. 321 00:19:16,776 --> 00:19:18,502 The experimenters have discovered 322 00:19:18,536 --> 00:19:21,746 that they can create animals that are dangerously antisocial. 323 00:19:27,649 --> 00:19:29,168 But they have also discovered 324 00:19:29,202 --> 00:19:31,963 that if you breed foxes for tolerance, 325 00:19:31,998 --> 00:19:34,173 something quite remarkable happens. 326 00:19:44,942 --> 00:19:47,772 There is population selected for tame behavior. 327 00:19:47,807 --> 00:19:51,500 And the result is, the behavior looks like dog. 328 00:19:58,852 --> 00:20:00,958 Zolotoi! 329 00:20:00,992 --> 00:20:03,512 Zolotoi! 330 00:20:03,547 --> 00:20:07,861 Their adrenal reaction is markedly subdued. 331 00:20:10,278 --> 00:20:12,866 They are now as relaxed in human company 332 00:20:12,901 --> 00:20:15,214 as a household pet. 333 00:20:15,248 --> 00:20:18,009 All of them love people. 334 00:20:18,044 --> 00:20:19,908 Love all people. 335 00:20:23,429 --> 00:20:26,673 They even wag their tails. 336 00:20:26,708 --> 00:20:30,539 It's impossible not love them. 337 00:20:34,785 --> 00:20:36,131 The experiment suggests 338 00:20:36,165 --> 00:20:39,203 that by selecting for human toleration, 339 00:20:39,238 --> 00:20:41,067 in just a few generations, 340 00:20:41,101 --> 00:20:43,449 a wild animal can be made to behave 341 00:20:43,483 --> 00:20:47,694 just like a domestic animal. 342 00:20:49,938 --> 00:20:53,113 But that's not all. 343 00:20:53,148 --> 00:20:55,357 We select our foxes only for behavior, 344 00:20:55,392 --> 00:20:58,015 but it's interesting that after the selection, 345 00:20:58,049 --> 00:21:00,293 we have a lot of morphological changes. 346 00:21:00,328 --> 00:21:02,468 Such as... 347 00:21:02,502 --> 00:21:06,472 For example, a lot of white in her fur color. 348 00:21:06,506 --> 00:21:11,166 This fox has a white nose, white belly, white legs, 349 00:21:11,200 --> 00:21:13,962 and white necks. 350 00:21:15,515 --> 00:21:19,036 Some foxes even develop curly tails. 351 00:21:21,590 --> 00:21:23,316 Curly tails and white patches 352 00:21:23,351 --> 00:21:28,942 are both often seen in other domesticated animals. 353 00:21:28,977 --> 00:21:30,565 What's great about that experiment is 354 00:21:30,599 --> 00:21:33,050 that what it demonstrates is 355 00:21:33,084 --> 00:21:36,053 that by a continued very strong selection 356 00:21:36,087 --> 00:21:37,330 for a behavioral trait, 357 00:21:37,365 --> 00:21:41,610 that you can then get an increase in frequency 358 00:21:41,645 --> 00:21:43,163 of a wide range of other traits 359 00:21:43,198 --> 00:21:46,477 that were not being selected for at all. 360 00:21:46,512 --> 00:21:48,203 What that suggests is that there's a lot of linkages 361 00:21:48,237 --> 00:21:51,344 between the overall shape and size 362 00:21:51,379 --> 00:21:53,001 and way in which the animal 363 00:21:53,035 --> 00:21:55,003 is put together from an anatomical perspective 364 00:21:55,037 --> 00:21:56,625 and the way that it behaves. 365 00:21:59,352 --> 00:22:02,010 Some believe this combination 366 00:22:02,044 --> 00:22:03,839 of behavioral and physical changes 367 00:22:03,874 --> 00:22:06,601 is part of a domestication syndrome, 368 00:22:06,635 --> 00:22:09,604 probably caused by a genetic mutation 369 00:22:09,638 --> 00:22:13,193 that reduces the effect of special neural crest cells. 370 00:22:13,228 --> 00:22:16,818 During development, these multipurpose cells 371 00:22:16,852 --> 00:22:19,993 control the ultimate size of the adrenal gland, 372 00:22:20,028 --> 00:22:24,377 determining how friendly the animal will tend to be. 373 00:22:24,412 --> 00:22:28,554 But the same cells also affect the size of the face and legs, 374 00:22:28,588 --> 00:22:30,763 rigidity of the ears and tail, 375 00:22:30,797 --> 00:22:32,074 and the extent of color in the coat. 376 00:22:33,904 --> 00:22:36,389 Select for friendliness, 377 00:22:36,424 --> 00:22:40,669 and every other quality can be affected, as well. 378 00:22:40,704 --> 00:22:44,259 The experimental methodology has been challenged recently, 379 00:22:44,293 --> 00:22:47,227 but it's now widely accepted that selection for behavior 380 00:22:47,262 --> 00:22:50,369 can rapidly domesticate a wild animal. 381 00:22:53,372 --> 00:22:56,375 But in the journey from wolf to dog, 382 00:22:56,409 --> 00:23:00,102 who made that selection? 383 00:23:00,137 --> 00:23:05,798 Most scientists now believe it was the wolves themselves. 384 00:23:08,421 --> 00:23:12,218 Wolves are extraordinarily adaptable. 385 00:23:12,252 --> 00:23:13,426 Different packs specialize 386 00:23:13,461 --> 00:23:16,187 in hunting different types of prey. 387 00:23:18,673 --> 00:23:21,538 It's thought that when humans first arrived, 388 00:23:21,572 --> 00:23:25,783 some packs may have adopted a novel survival strategy. 389 00:23:27,164 --> 00:23:29,546 It's not crazy to think that there may have been 390 00:23:29,580 --> 00:23:31,720 a population of wolves that found themselves 391 00:23:31,755 --> 00:23:34,136 attracted to people and started following people 392 00:23:34,171 --> 00:23:35,690 in the same way that other wolf populations 393 00:23:35,724 --> 00:23:36,656 have started following caribou. 394 00:23:38,934 --> 00:23:40,488 Rather than hunting, 395 00:23:40,522 --> 00:23:43,007 these wolves would thrive by scavenging 396 00:23:43,042 --> 00:23:45,700 close to human encampments. 397 00:23:45,734 --> 00:23:50,636 But only the boldest would hang around for long. 398 00:23:50,670 --> 00:23:53,190 These adventurous wolves would breed, 399 00:23:53,224 --> 00:23:54,709 and over generations, 400 00:23:54,743 --> 00:23:58,782 evolve into an increasingly human-tolerant subspecies: 401 00:23:58,816 --> 00:24:01,612 the domestic dog. 402 00:24:01,647 --> 00:24:03,476 Survival of the fittest 403 00:24:03,511 --> 00:24:08,170 turned out to be survival of the friendliest. 404 00:24:12,381 --> 00:24:16,627 Over the last 15,000 years, dogs have taken on 405 00:24:16,662 --> 00:24:18,974 all shapes and sizes. 406 00:24:19,009 --> 00:24:24,290 At this show in North Carolina, there are dogs of every sort. 407 00:24:26,775 --> 00:24:28,846 Wow. 408 00:24:28,881 --> 00:24:32,988 Veterinarian Debbye Turner is fascinated by this variety. 409 00:24:33,023 --> 00:24:34,542 Hey, look at that! 410 00:24:36,233 --> 00:24:38,166 That's the occupational hazard. 411 00:24:40,375 --> 00:24:42,446 Domesticated dogs have been around 412 00:24:42,481 --> 00:24:44,621 for thousands of years. 413 00:24:44,655 --> 00:24:47,244 And they all come from their wolf ancestor. 414 00:24:47,278 --> 00:24:48,383 And when you think about that, 415 00:24:48,417 --> 00:24:50,523 that's just absolutely incredible... 416 00:24:50,558 --> 00:24:55,010 that a big old, um, Irish wolfhound 417 00:24:55,045 --> 00:24:57,565 comes from the same ancestor 418 00:24:57,599 --> 00:25:00,602 that a little tiny Maltese comes from. 419 00:25:02,673 --> 00:25:05,469 So what did the first dog, 420 00:25:05,504 --> 00:25:07,885 the ancestor of all these animals, 421 00:25:07,920 --> 00:25:09,887 look like? 422 00:25:09,922 --> 00:25:12,131 To find out, geneticists have been decoding 423 00:25:12,165 --> 00:25:13,650 the dog family tree. 424 00:25:16,411 --> 00:25:19,172 Their results show that some lineages split away 425 00:25:19,207 --> 00:25:21,727 more than 5,000 years ago, 426 00:25:21,761 --> 00:25:23,901 creating descendants who today 427 00:25:23,936 --> 00:25:27,077 may reflect the appearance of the original dog. 428 00:25:30,598 --> 00:25:34,360 The Japanese Akita is one of these ancient breeds. 429 00:25:36,258 --> 00:25:39,434 These dogs separated from the genetic line 430 00:25:39,468 --> 00:25:41,091 very early on. 431 00:25:41,125 --> 00:25:44,197 They are called a Spitz-type dog, 432 00:25:44,232 --> 00:25:47,235 which means they have retained many of the characteristics, 433 00:25:47,269 --> 00:25:49,099 the physical characteristics, of their wolf ancestors. 434 00:25:49,133 --> 00:25:51,584 So they have a wedge-shaped head. 435 00:25:51,619 --> 00:25:55,554 They've got these pointy pricked ears, 436 00:25:55,588 --> 00:25:58,108 they have a double coat, 437 00:25:58,142 --> 00:26:00,179 and the curled tail over their backs. 438 00:26:02,457 --> 00:26:05,115 Sharing the same curly-tailed trait 439 00:26:05,149 --> 00:26:08,636 is the venerable African Basenji. 440 00:26:08,670 --> 00:26:11,880 Basenji is the granddad of ancient dogs. 441 00:26:11,915 --> 00:26:14,365 However, they're not that trainable. 442 00:26:14,400 --> 00:26:17,955 They will not do obedience tricks like other breeds. 443 00:26:17,990 --> 00:26:19,232 Come back here. 444 00:26:19,267 --> 00:26:22,270 And here's an example! 445 00:26:24,134 --> 00:26:27,378 There's something else very wolf-like about a Basenji. 446 00:26:32,832 --> 00:26:36,180 Its yodel. 447 00:26:36,215 --> 00:26:38,735 These breeds reveal much about how dogs 448 00:26:38,769 --> 00:26:40,115 may have appeared and acted 449 00:26:40,150 --> 00:26:42,462 after they first transitioned from pack hunters 450 00:26:42,497 --> 00:26:44,603 to scavengers. 451 00:26:45,776 --> 00:26:48,123 And provide clues as to why they may have 452 00:26:48,158 --> 00:26:51,748 first appealed to humans. 453 00:26:51,782 --> 00:26:55,890 You won't see Basenjis doing tricks. 454 00:26:55,924 --> 00:26:59,031 But because of their closeness to their wolf ancestors, 455 00:26:59,065 --> 00:27:01,965 they, um, are considered 456 00:27:01,999 --> 00:27:05,071 very adept hunters. 457 00:27:05,106 --> 00:27:06,555 As dogs were evolving 458 00:27:06,590 --> 00:27:09,662 from wolves into truly domesticated dogs, 459 00:27:09,697 --> 00:27:11,940 their traits began to change. 460 00:27:13,390 --> 00:27:16,048 They were smaller, their snout length changed, 461 00:27:16,082 --> 00:27:19,534 the strength of the muscles that support the jaw change, 462 00:27:19,568 --> 00:27:22,571 even the strength and size of their teeth. 463 00:27:22,606 --> 00:27:25,574 So they lost the ability to take down big prey. 464 00:27:25,609 --> 00:27:27,266 But they didn't lose everything. 465 00:27:27,300 --> 00:27:28,647 Dogs are still the standard bearers 466 00:27:28,681 --> 00:27:31,995 when it comes to detecting things with their nose. 467 00:27:33,997 --> 00:27:38,070 A dog's nose contains 50 times the number of olfactory sensors 468 00:27:38,104 --> 00:27:39,692 as a human nose, 469 00:27:39,727 --> 00:27:45,698 giving them a sense of smell 100,000 times more acute. 470 00:27:45,733 --> 00:27:48,287 Combined with sharp sight and hearing, 471 00:27:48,321 --> 00:27:50,807 superb stamina, and a docile temperament, 472 00:27:50,841 --> 00:27:55,984 for humans, they were a ready-built hunting companion. 473 00:27:58,159 --> 00:27:59,643 The reason why the relationship 474 00:27:59,678 --> 00:28:02,163 between dogs and humans in a hunting situation 475 00:28:02,197 --> 00:28:03,578 is so perfect 476 00:28:03,612 --> 00:28:05,235 is because they complement one another. 477 00:28:05,269 --> 00:28:07,030 The dogs are the chasers, 478 00:28:07,064 --> 00:28:08,479 the humans are the finishers. 479 00:28:11,897 --> 00:28:14,278 15,000 years ago, 480 00:28:14,313 --> 00:28:18,558 the first working partnerships were formed. 481 00:28:21,216 --> 00:28:22,666 Over the following millennia, 482 00:28:22,701 --> 00:28:24,185 humans would breed dogs 483 00:28:24,219 --> 00:28:26,808 to take advantage of their wolf-like abilities. 484 00:28:26,843 --> 00:28:31,295 But those selections cannot explain the extreme variety 485 00:28:31,330 --> 00:28:34,057 of body shapes we see today. 486 00:28:34,091 --> 00:28:38,578 Instead, the genetic studies indicate that a sudden explosion 487 00:28:38,613 --> 00:28:40,788 of diversity in shape and size 488 00:28:40,822 --> 00:28:42,997 can be traced to a breeding craze 489 00:28:43,031 --> 00:28:47,587 that began in Europe just a few hundred years ago. 490 00:28:47,622 --> 00:28:52,765 The very first kennel club was established in 1873 in England. 491 00:28:52,800 --> 00:28:55,699 And it's from there that we get the vast majority 492 00:28:55,734 --> 00:28:58,495 of the varieties and the breeds that we see today. 493 00:29:01,222 --> 00:29:04,052 Kennel clubs were breeding organizations originally meant 494 00:29:04,087 --> 00:29:08,712 to preserve local dog characteristics. 495 00:29:08,747 --> 00:29:12,095 But members began to select and share dogs with extreme traits 496 00:29:12,129 --> 00:29:15,408 to an extent never attempted before. 497 00:29:22,450 --> 00:29:23,762 Geneticists have discovered 498 00:29:23,796 --> 00:29:26,074 that as a result of this intensive breeding, 499 00:29:26,109 --> 00:29:29,733 the look of Western dogs has become controlled 500 00:29:29,768 --> 00:29:33,806 by just a handful of extremely potent genes. 501 00:29:33,841 --> 00:29:37,879 In a human, over 100 genes will determine 502 00:29:37,914 --> 00:29:41,814 a few inches' difference in a person's height. 503 00:29:41,849 --> 00:29:46,267 But in a dog, just seven super-selected genes 504 00:29:46,301 --> 00:29:48,096 now control the size difference 505 00:29:48,131 --> 00:29:51,790 between the smallest and the largest. 506 00:29:53,136 --> 00:29:55,034 In nearly all breeds, 507 00:29:55,069 --> 00:29:58,762 just one gene is responsible for short legs. 508 00:30:00,384 --> 00:30:03,594 And mutations in just three genes 509 00:30:03,629 --> 00:30:05,838 express the majority of coat types, 510 00:30:05,873 --> 00:30:07,909 from smooth... 511 00:30:07,944 --> 00:30:10,843 To long-haired... 512 00:30:12,776 --> 00:30:14,157 To whatever this is. 513 00:30:19,403 --> 00:30:21,854 So, most dogs today look the way they do 514 00:30:21,889 --> 00:30:25,858 because of intensive human breeding for novelty. 515 00:30:28,309 --> 00:30:30,690 But people still value dogs 516 00:30:30,725 --> 00:30:32,589 not just because of how they look, 517 00:30:32,623 --> 00:30:35,074 but because of what humans can do with them. 518 00:30:45,084 --> 00:30:46,983 For thousands of years, 519 00:30:47,017 --> 00:30:49,192 the dog's natural instincts were exploited 520 00:30:49,226 --> 00:30:52,091 to help humans hunt, herd, and protect. 521 00:30:55,301 --> 00:30:59,236 But in the last century, their roles have multiplied. 522 00:30:59,271 --> 00:31:00,617 Dogs are amazing. 523 00:31:00,651 --> 00:31:02,861 We can train them to do a variety of tasks. 524 00:31:05,070 --> 00:31:08,211 So from very simple ones that amuse us 525 00:31:08,245 --> 00:31:12,732 to very useful things. 526 00:31:12,767 --> 00:31:14,665 You're not going to have a cat at airports sniffing out drugs 527 00:31:14,700 --> 00:31:17,116 or a horse telling you that you're about to have a seizure, 528 00:31:17,151 --> 00:31:18,738 but dogs are able to do this in a way 529 00:31:18,773 --> 00:31:21,120 that just vastly supersedes any other animal, 530 00:31:21,155 --> 00:31:22,708 and I think that's what makes them special. 531 00:31:25,159 --> 00:31:29,301 So what is the source of a dog's amazing ability to learn? 532 00:31:41,140 --> 00:31:43,384 Animal behaviorist Clive Wynne 533 00:31:43,418 --> 00:31:48,216 is obsessed with understanding what's going on in a dog's head. 534 00:31:48,251 --> 00:31:50,322 Most psychologists study the minds of people. 535 00:31:50,356 --> 00:31:54,291 I became fascinated in the minds of everything except people. 536 00:31:54,326 --> 00:31:57,432 And so I became very interested with dogs, 537 00:31:57,467 --> 00:31:59,089 and very, very quickly, 538 00:31:59,124 --> 00:32:04,405 I became totally, totally grabbed by this amazing animal. 539 00:32:06,994 --> 00:32:09,099 They're absolutely fascinating... 540 00:32:09,134 --> 00:32:13,552 their minds, their intellects, their cognition. 541 00:32:15,692 --> 00:32:17,832 Zaph... 542 00:32:17,866 --> 00:32:19,592 Go. 543 00:32:19,627 --> 00:32:21,111 Good girl. 544 00:32:21,146 --> 00:32:23,079 For many years, scientists have believed 545 00:32:23,113 --> 00:32:25,771 that dogs are great learners 546 00:32:25,805 --> 00:32:28,912 because they possess an almost unique intelligence. 547 00:32:28,947 --> 00:32:32,364 One key proof was their skill at the pointing test. 548 00:32:32,398 --> 00:32:34,124 Okay, Zaph... 549 00:32:37,956 --> 00:32:39,647 Oh, what a clever doggie. 550 00:32:39,681 --> 00:32:41,614 What a clever doggie... well done. 551 00:32:41,649 --> 00:32:45,618 Most pet dogs most of the time will follow a human point. 552 00:32:45,653 --> 00:32:47,620 It seems quite undramatic to us because we're used to it, 553 00:32:47,655 --> 00:32:50,175 but actually, it turns out 554 00:32:50,209 --> 00:32:54,006 that not very many animals will do this. 555 00:32:55,318 --> 00:32:57,976 Okay, you ready? 556 00:32:58,010 --> 00:33:01,393 Even our closest primate cousin, the chimpanzee, 557 00:33:01,427 --> 00:33:04,361 will struggle with this test of intelligence. 558 00:33:10,747 --> 00:33:13,163 But are their exceptional smarts 559 00:33:13,198 --> 00:33:17,996 really what makes dogs so special? 560 00:33:20,205 --> 00:33:25,279 Maybe the answer lies in the minds of their ancestors. 561 00:33:38,706 --> 00:33:41,226 In the woods outside Vienna, Austria, 562 00:33:41,260 --> 00:33:44,505 Friederike Range is taking her wolf for a walk. 563 00:33:49,475 --> 00:33:51,063 Here at the Wolf Science Center, 564 00:33:51,098 --> 00:33:54,480 they're carrying out cutting-edge research on wolf cognition. 565 00:33:56,103 --> 00:33:57,449 Sit! 566 00:33:57,483 --> 00:33:58,450 You're ready to go. 567 00:34:03,006 --> 00:34:08,322 The center's 15 wolves have been brought up by humans. 568 00:34:08,356 --> 00:34:12,464 I know Aragorn 11 years and three months. 569 00:34:12,498 --> 00:34:16,675 So I hand-raised him and his other pack-mates. 570 00:34:18,884 --> 00:34:22,543 Alongside its wolves, the center raises a group of dogs, 571 00:34:22,577 --> 00:34:25,097 giving both sets of animals 572 00:34:25,132 --> 00:34:29,964 an identical amount of human contact. 573 00:34:29,998 --> 00:34:32,242 We bring up the wolves and the dogs in the same way. 574 00:34:32,277 --> 00:34:33,933 So they have the same experience, 575 00:34:33,968 --> 00:34:36,729 and this is really crucial if you want to compare them, 576 00:34:36,764 --> 00:34:38,766 and compare their behavioral cognition. 577 00:34:44,496 --> 00:34:48,120 Friederike's team conduct identical intelligence tests 578 00:34:48,155 --> 00:34:50,295 on their dogs and wolves. 579 00:34:50,329 --> 00:34:52,331 We just get it there. 580 00:34:52,366 --> 00:34:53,677 Yup, and now it's working. 581 00:34:53,712 --> 00:34:55,023 So what we are doing here 582 00:34:55,058 --> 00:34:59,442 is testing cooperative abilities in our dogs and wolves. 583 00:34:59,476 --> 00:35:01,306 For this, we have this table. 584 00:35:05,896 --> 00:35:08,140 The food on the table can only be reached 585 00:35:08,175 --> 00:35:13,111 if both ends of the rope are pulled at the same time. 586 00:35:13,145 --> 00:35:16,700 So the animal must understand that it has to cooperate 587 00:35:16,735 --> 00:35:19,082 with a human partner. 588 00:35:27,677 --> 00:35:31,336 This dog shows how it's done. 589 00:35:31,370 --> 00:35:35,547 Waiting for the human, he executes the task to perfection. 590 00:35:35,581 --> 00:35:37,514 That was nice! 591 00:35:45,695 --> 00:35:48,284 But what about a wolf? 592 00:36:05,508 --> 00:36:07,613 He's actually waiting! 593 00:36:15,034 --> 00:36:16,450 Perfect! 594 00:36:18,728 --> 00:36:21,248 For years, it was thought wolves were incapable 595 00:36:21,282 --> 00:36:23,940 of making the cognitive leap necessary 596 00:36:23,974 --> 00:36:26,045 to work with humans. 597 00:36:26,080 --> 00:36:30,326 But these experiments are proving the opposite. 598 00:36:32,604 --> 00:36:35,848 And this result is not unique. 599 00:36:35,883 --> 00:36:37,160 The team's work is showing 600 00:36:37,195 --> 00:36:40,784 wolves can be highly intelligent in multiple ways. 601 00:36:40,819 --> 00:36:43,960 I don't think that a dog is smarter than a wolf. 602 00:36:43,994 --> 00:36:46,687 I think most of our studies show 603 00:36:46,721 --> 00:36:49,483 that actually, the wolves are much smarter. 604 00:36:53,280 --> 00:36:57,353 Wolves have even been shown to match dogs at the pointing test. 605 00:37:02,081 --> 00:37:05,084 So, despite appearances, hanging out with humans 606 00:37:05,119 --> 00:37:08,467 did not improve the dog's raw intelligence. 607 00:37:08,502 --> 00:37:09,606 This ability 608 00:37:09,641 --> 00:37:12,920 is not something that developed in dogs 609 00:37:12,954 --> 00:37:14,715 during the process of domestication. 610 00:37:14,749 --> 00:37:17,821 It was already latent in the wolves 611 00:37:17,856 --> 00:37:19,616 from which all of our dogs are descended. 612 00:37:19,651 --> 00:37:23,068 Good boy, scoot forward! 613 00:37:23,102 --> 00:37:27,659 If dogs are no more intelligent than wolves... 614 00:37:27,693 --> 00:37:30,800 then why is a dog more trainable? 615 00:37:35,183 --> 00:37:38,221 Some think it may all be a matter of attitude. 616 00:37:38,256 --> 00:37:39,429 For Clive, 617 00:37:39,464 --> 00:37:44,434 the mindset of his pet dog Zaphos holds a clue. 618 00:37:44,469 --> 00:37:46,919 I could tell straightaway that Zaphos wasn't smart. 619 00:37:46,954 --> 00:37:49,405 She's not a super-intelligent dog. 620 00:37:49,439 --> 00:37:53,512 But there was something remarkable about her. 621 00:37:53,547 --> 00:37:58,206 And that was so obvious once I saw it... 622 00:37:58,241 --> 00:38:00,899 this ability, this capacity, this desire 623 00:38:00,933 --> 00:38:03,384 to form strong emotional bonds. 624 00:38:03,419 --> 00:38:05,835 That she's always trying to make friends. 625 00:38:05,869 --> 00:38:09,597 That she's extremely loving. 626 00:38:09,632 --> 00:38:14,326 And I began to wonder, could this be the crux ability 627 00:38:14,361 --> 00:38:17,778 that has made dogs so successful? 628 00:38:22,679 --> 00:38:27,097 To demonstrate his theory, Clive uses a simple test. 629 00:38:27,132 --> 00:38:28,340 It's called the circle test. 630 00:38:28,375 --> 00:38:31,481 It quantifies how socially engaged 631 00:38:31,516 --> 00:38:34,346 an animal is. 632 00:38:38,212 --> 00:38:40,904 The animal is placed in a room with a human for two minutes. 633 00:38:40,939 --> 00:38:45,081 An observer totals the amount of time the animal spends 634 00:38:45,115 --> 00:38:48,602 inside the circle, near the person. 635 00:38:50,914 --> 00:38:51,984 Paired with their owners, 636 00:38:52,019 --> 00:38:54,193 dogs spend upwards of 60% of their time 637 00:38:54,228 --> 00:38:58,646 inside the circle. 638 00:38:58,681 --> 00:39:01,477 Even with a stranger, Zaphos stays close 639 00:39:01,511 --> 00:39:04,825 for over half the time. 640 00:39:07,552 --> 00:39:11,556 Dogs just seem to like people. 641 00:39:11,590 --> 00:39:15,111 But wolves behave differently. 642 00:39:15,145 --> 00:39:16,940 This is not a lab environment, 643 00:39:16,975 --> 00:39:20,944 but the results from this circle test are still clear. 644 00:39:20,979 --> 00:39:23,775 This young woman was involved in raising this wolf. 645 00:39:23,809 --> 00:39:24,983 They've known each other 646 00:39:25,017 --> 00:39:26,709 all the wolf's life. 647 00:39:26,743 --> 00:39:30,713 And, uh, nonetheless, the wolf doesn't spend 648 00:39:30,747 --> 00:39:36,235 so much time inside this circle as a dog would do. 649 00:39:40,343 --> 00:39:42,276 The wolf spends even less time with its handler 650 00:39:42,310 --> 00:39:45,624 than a dog would with a stranger. 651 00:39:45,659 --> 00:39:47,868 The fact that the wolf doesn't want to spend 652 00:39:47,902 --> 00:39:51,043 as much time inside the circle with the person 653 00:39:51,078 --> 00:39:53,287 shows us that the wolf doesn't have 654 00:39:53,321 --> 00:39:57,636 that same intense level of social connection with people 655 00:39:57,671 --> 00:39:59,673 as a dog can have. 656 00:40:02,641 --> 00:40:07,059 To those who know wolves well, this is no surprise. 657 00:40:07,094 --> 00:40:10,442 A dog you can usually always get to do what you want. 658 00:40:10,477 --> 00:40:12,927 The wolves could care less. 659 00:40:12,962 --> 00:40:15,516 They do it as they want to do it, 660 00:40:15,551 --> 00:40:18,968 and you can work really hard to convince them, 661 00:40:19,002 --> 00:40:21,108 and sometimes, you are successful. 662 00:40:21,142 --> 00:40:23,662 But if they don't want to, there's nothing you can do. 663 00:40:26,216 --> 00:40:28,564 Dogs inherited their intelligence 664 00:40:28,598 --> 00:40:30,428 from their wolf ancestors. 665 00:40:30,462 --> 00:40:31,843 But they've also evolved a strong desire 666 00:40:31,877 --> 00:40:33,879 to bond with humans 667 00:40:33,914 --> 00:40:37,469 that makes them uniquely trainable. 668 00:40:37,504 --> 00:40:38,884 Yes, good girl! 669 00:40:38,919 --> 00:40:41,715 Often, in working dogs, what makes them good? 670 00:40:41,749 --> 00:40:44,165 It's a partnership. Good girl! 671 00:40:44,200 --> 00:40:48,238 That dog and that human that it cares about... 672 00:40:48,273 --> 00:40:49,516 they're the unit. 673 00:40:49,550 --> 00:40:52,415 The unit is the person and the dog together. 674 00:40:54,175 --> 00:40:56,626 But the dog's desire to bond is not just the key 675 00:40:56,661 --> 00:41:00,009 to incredible feats of learning. 676 00:41:00,043 --> 00:41:02,977 This bond also appears to be unusually powerful. 677 00:41:08,811 --> 00:41:11,469 So much so, that here in California, 678 00:41:11,503 --> 00:41:12,780 it's being exploited 679 00:41:12,815 --> 00:41:16,715 to provide a novel pathway for human rehabilitation. 680 00:41:18,890 --> 00:41:20,132 Meet Max. 681 00:41:20,167 --> 00:41:22,410 Max, good job. 682 00:41:22,445 --> 00:41:25,483 He's part of a groundbreaking program using dogs 683 00:41:25,517 --> 00:41:27,623 to transform the behavior of individuals 684 00:41:27,657 --> 00:41:30,764 who are a danger to society. 685 00:41:41,222 --> 00:41:42,569 Ready to go in? 686 00:41:42,603 --> 00:41:45,537 Max will ultimately be a service dog. 687 00:41:45,572 --> 00:41:49,955 But much of his training takes place behind bars, 688 00:41:49,990 --> 00:41:52,440 at this prison facility in California. 689 00:41:54,546 --> 00:41:58,688 He will be in the care of long-term inmates 690 00:41:58,723 --> 00:42:01,242 convicted of serious crimes, from armed robbery to murder. 691 00:42:03,590 --> 00:42:06,731 Many are repeat offenders. 692 00:42:08,284 --> 00:42:11,218 Some, like Gerry Castillo, arrived in prison 693 00:42:11,252 --> 00:42:14,566 with deep-rooted psychological struggles. 694 00:42:14,601 --> 00:42:16,603 Hi, how are you? 695 00:42:16,637 --> 00:42:18,950 Good, how are you? Good. 696 00:42:18,984 --> 00:42:20,607 I spent a lot of time by myself. 697 00:42:20,641 --> 00:42:23,610 I had issues of, uh... 698 00:42:23,644 --> 00:42:25,888 Say, uh... 699 00:42:25,922 --> 00:42:27,130 Low self-esteem. 700 00:42:27,165 --> 00:42:28,511 You know, low confidence. 701 00:42:28,546 --> 00:42:31,549 I was antisocial. 702 00:42:31,583 --> 00:42:32,653 The prison environment 703 00:42:32,688 --> 00:42:36,450 only seems to make these problems worse. 704 00:42:36,484 --> 00:42:37,969 It's in a place where you don't have feelings. 705 00:42:38,003 --> 00:42:39,384 Everything is shut off. 706 00:42:39,418 --> 00:42:42,767 People don't talk about emotions unless it's anger. 707 00:42:45,977 --> 00:42:47,047 Statistically, 708 00:42:47,081 --> 00:42:48,738 over half of all prisoners in the U.S. 709 00:42:48,773 --> 00:42:52,604 will re-offend on release. 710 00:42:54,710 --> 00:42:58,334 Some prisons seek ways to reverse that trend. 711 00:42:58,368 --> 00:43:02,925 And in this facility, that means dogs. 712 00:43:02,959 --> 00:43:07,446 One wing has been transformed into a virtual kennel club. 713 00:43:10,588 --> 00:43:14,350 The prisoners here are each responsible for a dog. 714 00:43:14,384 --> 00:43:18,043 Man and animal live together 24/7. 715 00:43:18,078 --> 00:43:21,012 I got to get up in the mornings and feed him, 716 00:43:21,046 --> 00:43:23,083 and train him, and take him out to potty, 717 00:43:23,117 --> 00:43:26,017 and just care for him the whole day. 718 00:43:26,051 --> 00:43:27,984 Even if I'm having a bad day. 719 00:43:30,677 --> 00:43:32,540 Just start making a big circle. 720 00:43:34,232 --> 00:43:37,649 Max's time inside will help transform him 721 00:43:37,684 --> 00:43:39,824 into an elite service dog. 722 00:43:39,858 --> 00:43:42,309 Just make, keep going, circle. 723 00:43:42,343 --> 00:43:44,311 But it's the transformation in the inmates 724 00:43:44,345 --> 00:43:47,383 that seasoned prison staff find most remarkable. 725 00:43:49,074 --> 00:43:51,145 Leave your dog on a sit-stay. 726 00:43:51,180 --> 00:43:52,733 It's amazing. 727 00:43:52,768 --> 00:43:54,390 Max! 728 00:43:54,424 --> 00:43:55,563 Come here! 729 00:43:55,598 --> 00:43:58,394 It, it has changed so many of them. 730 00:43:58,428 --> 00:43:59,878 Good boy. 731 00:43:59,913 --> 00:44:00,983 It's wonderful to see 732 00:44:01,017 --> 00:44:02,916 the caring attitude that goes to it, 733 00:44:02,950 --> 00:44:06,644 the gentleness that's put forth through and for the dogs. 734 00:44:08,300 --> 00:44:10,717 You wouldn't expect to see that on the streets. 735 00:44:10,751 --> 00:44:12,373 I see it here firsthand. 736 00:44:12,408 --> 00:44:14,548 Good, Gerry! 737 00:44:14,582 --> 00:44:16,136 He is my friend. 738 00:44:16,170 --> 00:44:18,034 You know, he makes my day. 739 00:44:19,415 --> 00:44:20,692 We bonded. 740 00:44:20,727 --> 00:44:23,522 He knows me better than me. 741 00:44:23,557 --> 00:44:26,077 I want you guys to sit down first 742 00:44:26,111 --> 00:44:28,493 and lure them over your legs. 743 00:44:28,527 --> 00:44:30,150 By getting a dog, 744 00:44:30,184 --> 00:44:34,292 it's like I'm back with a family member. 745 00:44:34,326 --> 00:44:35,534 I can actually interact with somebody 746 00:44:35,569 --> 00:44:38,399 and share my feelings with somebody. 747 00:44:39,642 --> 00:44:41,126 You could hug your dog. 748 00:44:41,161 --> 00:44:45,372 Max has lifted my self-esteem, 749 00:44:45,406 --> 00:44:48,030 gave me a purpose 750 00:44:48,064 --> 00:44:49,790 to... to do... 751 00:44:49,825 --> 00:44:52,862 to do things for someone else. 752 00:44:52,897 --> 00:44:55,278 They should be nice and calm. 753 00:44:55,313 --> 00:44:58,557 There is mounting evidence that even with convicts, 754 00:44:58,592 --> 00:45:01,353 the profound relationship between dog and man 755 00:45:01,388 --> 00:45:03,321 can change their whole outlook on life. 756 00:45:03,355 --> 00:45:05,081 Good. 757 00:45:05,116 --> 00:45:06,634 Since this program has started, 758 00:45:06,669 --> 00:45:09,258 I've had six inmates who have left on parole 759 00:45:09,292 --> 00:45:10,777 and they have not come back. 760 00:45:10,811 --> 00:45:13,193 They have not hurt anybody else. 761 00:45:13,227 --> 00:45:15,851 They are still maintaining their lives 762 00:45:15,885 --> 00:45:17,059 on the outside. 763 00:45:17,093 --> 00:45:18,992 Now let's do another nice little jog. 764 00:45:19,026 --> 00:45:21,788 This program taught them that there's more to life 765 00:45:21,822 --> 00:45:24,445 than just themselves. 766 00:45:26,724 --> 00:45:29,692 Giving people who, by some standards, 767 00:45:29,727 --> 00:45:32,315 have been written off as unlovable, 768 00:45:32,350 --> 00:45:34,386 and to have them have the opportunity 769 00:45:34,421 --> 00:45:37,562 to love and be loved unconditionally 770 00:45:37,596 --> 00:45:40,841 by this amazing creature that loves to be loved, 771 00:45:40,876 --> 00:45:44,017 that is loyal, that wants to please you... 772 00:45:44,051 --> 00:45:46,985 I love the idea of these programs. 773 00:45:47,020 --> 00:45:51,921 A dog's uniquely strong desire to bond 774 00:45:51,956 --> 00:45:54,579 may be particularly beneficial to humans. 775 00:45:55,994 --> 00:45:59,549 But dogs seem quite happy to spread the love beyond us. 776 00:46:02,138 --> 00:46:04,106 What makes dogs special is, 777 00:46:04,140 --> 00:46:08,627 dogs can form very strong loving connections 778 00:46:08,662 --> 00:46:11,216 to members of any other species. 779 00:46:11,251 --> 00:46:13,218 Never mind other members of their own species, 780 00:46:13,253 --> 00:46:14,702 any other species. 781 00:46:14,737 --> 00:46:18,361 Dogs appear to be not just loving, 782 00:46:18,396 --> 00:46:21,640 but almost indiscriminately affectionate. 783 00:46:21,675 --> 00:46:24,643 New research suggests that this could be 784 00:46:24,678 --> 00:46:26,024 partly because dogs get flooded 785 00:46:26,059 --> 00:46:30,201 with the "love hormone" oxytocin. 786 00:46:33,066 --> 00:46:35,793 And the reason for that may lie partly 787 00:46:35,827 --> 00:46:39,693 with some very special genes. 788 00:46:40,763 --> 00:46:43,386 Hi! 789 00:46:43,421 --> 00:46:44,491 How are you? 790 00:46:44,525 --> 00:46:46,424 Nice to finally meet you! 791 00:46:46,458 --> 00:46:49,668 Come on in to our humble home! 792 00:46:49,703 --> 00:46:51,222 Hi! Welcome! 793 00:46:51,256 --> 00:46:54,018 Okay, you ready to make some doughnuts? 794 00:46:54,052 --> 00:46:56,848 Let's cook her up, sister! Cook her up. 795 00:46:56,883 --> 00:46:58,746 Okay, you got it, girl. 796 00:46:58,781 --> 00:47:02,129 16-year-old Callie Truelove lives with Williams syndrome, 797 00:47:02,164 --> 00:47:06,685 a debilitating genetic condition affecting one in 10,000 people. 798 00:47:06,720 --> 00:47:11,069 Two-thirds cups of water. 799 00:47:11,104 --> 00:47:13,037 This is gorgeous water. 800 00:47:13,071 --> 00:47:15,833 ♪ We're gonna whisk it, whisk it ♪ 801 00:47:15,867 --> 00:47:18,766 It's caused by alterations in around 30 genes, 802 00:47:18,801 --> 00:47:21,286 generating multiple developmental problems 803 00:47:21,321 --> 00:47:22,563 and learning challenges. 804 00:47:22,598 --> 00:47:25,187 I'm going to put them in the oven. 805 00:47:25,221 --> 00:47:28,362 There ain't nothing like Southern-style cooking. 806 00:47:30,088 --> 00:47:33,022 But through it all, Callie radiates an incredible warmth 807 00:47:33,057 --> 00:47:35,024 towards the people around her. 808 00:47:37,061 --> 00:47:38,752 She just loves people. 809 00:47:38,786 --> 00:47:40,927 From the time she was able to go to somebody by herself, 810 00:47:40,961 --> 00:47:42,860 she's always been very friendly. 811 00:47:42,894 --> 00:47:44,758 Yes, let's do it! 812 00:47:44,792 --> 00:47:47,036 They're so gorgeous! 813 00:47:47,071 --> 00:47:49,625 And I love each and every single human being 814 00:47:49,659 --> 00:47:51,869 on this whole entire world. 815 00:47:51,903 --> 00:47:54,078 If I could just hug all of them at once, I would, 816 00:47:54,112 --> 00:47:56,494 'cause I love them so much. 817 00:47:56,528 --> 00:48:00,084 Here's what you're gonna do, you're gonna take a doughnut... 818 00:48:00,118 --> 00:48:04,605 She absolutely does love every single person that she meets. 819 00:48:04,640 --> 00:48:08,955 I've pastored a church for 20 years, 820 00:48:08,989 --> 00:48:10,646 and Callie has reached more people 821 00:48:10,680 --> 00:48:12,303 just with her everyday life 822 00:48:12,337 --> 00:48:14,615 than I possibly could in a lifetime. 823 00:48:15,962 --> 00:48:18,240 I think you should have this guy. 824 00:48:18,274 --> 00:48:21,899 Callie's hyper-sociability is a side effect of her condition, 825 00:48:21,933 --> 00:48:23,866 tied to changes in three genes, 826 00:48:23,901 --> 00:48:26,834 one of which supercharges oxytocin levels. 827 00:48:26,869 --> 00:48:27,835 Mm-mm! 828 00:48:27,870 --> 00:48:28,836 Mm-hmm. 829 00:48:28,871 --> 00:48:32,012 We got a pet down here. 830 00:48:32,047 --> 00:48:34,946 Surprisingly, people with Williams syndrome 831 00:48:34,981 --> 00:48:38,501 may not be the only ones affected by these altered genes. 832 00:48:38,536 --> 00:48:41,711 ♪ Oh, Doodle 833 00:48:45,198 --> 00:48:48,787 This is my service dog, Doodle Dandy. 834 00:48:50,686 --> 00:48:51,652 And he's my heartbeat. 835 00:48:51,687 --> 00:48:53,689 He's my sunshine. 836 00:48:53,723 --> 00:48:56,278 And I can't imagine my life without him. 837 00:48:56,312 --> 00:48:58,073 Good boy. 838 00:48:58,107 --> 00:49:01,939 He's helped me through a whole lot 839 00:49:01,973 --> 00:49:05,011 and he's just the best dog in the whole wide world. 840 00:49:05,045 --> 00:49:06,909 And I ain't ashamed to say it. 841 00:49:10,533 --> 00:49:14,296 New research suggests that Callie and Doodle Dandy 842 00:49:14,330 --> 00:49:18,093 share more than just a friendship. 843 00:49:20,371 --> 00:49:22,718 Geneticists working with Clive 844 00:49:22,752 --> 00:49:24,996 have recently discovered the same rare mutations 845 00:49:25,031 --> 00:49:27,412 that cause Callie's hyper-sociability 846 00:49:27,447 --> 00:49:30,657 are present in the dog genome. 847 00:49:30,691 --> 00:49:32,935 But they are not found in wolves, 848 00:49:32,970 --> 00:49:37,491 suggesting these rare mutations were acquired by dogs 849 00:49:37,526 --> 00:49:40,184 during domestication. 850 00:49:40,218 --> 00:49:44,188 What causes dogs to be so much more sociable, 851 00:49:44,222 --> 00:49:46,293 so much more socially engaged 852 00:49:46,328 --> 00:49:48,986 and desiring loving relationships 853 00:49:49,020 --> 00:49:50,711 than are wolves 854 00:49:50,746 --> 00:49:53,231 are due to three of the genes 855 00:49:53,266 --> 00:49:55,993 that are involved in Williams syndrome. 856 00:49:56,027 --> 00:49:59,479 I feel that we've cracked the puzzle of domestication. 857 00:49:59,513 --> 00:50:02,447 We've identified in the genetic material 858 00:50:02,482 --> 00:50:04,346 what it is that makes dogs so unique, 859 00:50:04,380 --> 00:50:07,452 and makes them so special and so successful. 860 00:50:07,487 --> 00:50:12,906 More research is still needed, but these rare mutations 861 00:50:12,940 --> 00:50:15,150 may prove to be the secret source 862 00:50:15,184 --> 00:50:20,362 of the unshakable bond between our two species. 863 00:50:20,396 --> 00:50:22,847 I think that's brilliant, 864 00:50:22,881 --> 00:50:24,400 because I knew when he was little 865 00:50:24,435 --> 00:50:26,126 he had my personality, 866 00:50:26,161 --> 00:50:28,715 but I didn't know we shared the same gene, almost. 867 00:50:28,749 --> 00:50:31,683 So that, that is so cool. 868 00:50:31,718 --> 00:50:36,412 I promise I'm always going to be here for you no matter what... 869 00:50:36,447 --> 00:50:38,138 through thick and thin. 870 00:50:45,352 --> 00:50:49,563 Dogs and humans have been on quite a journey. 871 00:50:51,427 --> 00:50:53,774 A natural instinct to exploit their new human neighbors 872 00:50:53,809 --> 00:50:59,504 led wolf evolution from vicious predator to docile companion. 873 00:51:02,542 --> 00:51:05,303 Humans have tinkered with them through selective breeding, 874 00:51:05,338 --> 00:51:08,375 perfecting useful instinctual traits 875 00:51:08,410 --> 00:51:10,274 and playing with their looks. 876 00:51:14,416 --> 00:51:17,488 And it seems like somewhere along the way, 877 00:51:17,522 --> 00:51:22,458 we bred in an extreme motivation to learn extraordinary skills. 878 00:51:22,493 --> 00:51:26,152 Because we bred in the most important trait of all. 879 00:51:26,186 --> 00:51:28,602 You can hug your dog... 880 00:51:28,637 --> 00:51:32,123 The discovery that dogs experience love, 881 00:51:32,158 --> 00:51:33,780 that's why they're so perfect. 882 00:51:33,814 --> 00:51:35,368 Are you the most beautiful dog? 883 00:51:35,402 --> 00:51:36,783 That's the thing that explains 884 00:51:36,817 --> 00:51:40,718 not only how dogs became so domesticated, 885 00:51:40,752 --> 00:51:44,066 but explains why they're man's best friend 886 00:51:44,101 --> 00:51:47,138 and why we've been together for 15,000 years. 887 00:51:47,173 --> 00:51:49,761 Who knows you better than your best friend? 67426

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