D*a 发帖数: 6830 | 2 你自己看吧
1
00:00:01,200 --> 00:00:03,130
Hello, and welcome back to Animal
Behavior.
2
00:00:04,590 --> 00:00:06,189
When sexually reproducing animals
produce
3
00:00:06,189 --> 00:00:08,330
their offspring, they have a choice.
4
00:00:08,330 --> 00:00:13,030
They can produce either a son or a
daughter in any given reproductive event.
5
00:00:13,030 --> 00:00:15,730
In this lecture, we'll look at the
question of whether in certain
6
00:00:15,730 --> 00:00:17,330
circumstances it might pay parents to
7
00:00:17,330 --> 00:00:21,210
preferentially produce either a son or
daughter.
8
00:00:21,210 --> 00:00:23,300
Now for a long time it was assumed
9
00:00:23,300 --> 00:00:26,207
that in species with genetic sex
determination - animals like
10
00:00:26,207 --> 00:00:30,100
birds or mammals - that sex determination
was pretty random -
11
00:00:30,100 --> 00:00:32,960
that it couldn't really be influenced by
the parents.
12
00:00:32,960 --> 00:00:35,552
But we now know that a huge variety of
organisms, including birds
13
00:00:35,552 --> 00:00:40,240
and mammals are capable of
manipulating the sex of their offspring.
14
00:00:40,240 --> 00:00:43,159
And manipulating the sex in ways that
increase their fitness.
15
00:00:45,280 --> 00:00:47,968
To understand interesting patterns of sex
allocation we
16
00:00:47,968 --> 00:00:51,926
first have to understand why from an
evolutionary perspective,
17
00:00:51,926 --> 00:00:56,062
we expect investment in the two sexes to
be equal at the population level.
18
00:00:56,062 --> 00:00:58,862
Now at first, this seems rather counter-
intuitive. After all, if the
19
00:00:58,862 --> 00:01:03,030
sperm of a single male can fertilize lots
of different females,
20
00:01:03,030 --> 00:01:06,570
why not produce a sex ratio of say, 1 male
for every 10 females.
21
00:01:07,900 --> 00:01:10,930
Now we can see why that wouldn't work by
doing a thought experiment.
22
00:01:12,190 --> 00:01:16,450
Suppose we had a population in which there
were ten times as many females as males.
23
00:01:18,170 --> 00:01:23,240
Such a female bias sex ratio can't be
evolutionarily stable. Why?
24
00:01:23,240 --> 00:01:27,465
Well, because any parent that produces a
rare male will gain about ten times as
25
00:01:27,465 --> 00:01:33,880
much reproductive success
as any individual that produces a female.
26
00:01:33,880 --> 00:01:37,219
That's because this male can potentially
mate with on average,
27
00:01:37,219 --> 00:01:38,588
10 females,
28
00:01:38,588 --> 00:01:42,660
whereas each of these females can only
mate with this one male.
29
00:01:44,040 --> 00:01:45,967
As a consequence, any gene that causes
parents to
30
00:01:45,967 --> 00:01:49,152
produce a son, will rapidly spread through
the population,
31
00:01:49,152 --> 00:01:53,110
and the proportion of sons will steadily
increase to more than one in ten.
32
00:01:57,080 --> 00:01:59,690
But the converse is equally unstable.
33
00:01:59,690 --> 00:02:04,171
If there are ten males all competing to
fertilize the eggs of a single female,
34
00:02:04,171 --> 00:02:06,280
then daughters are going to have an
enormous
35
00:02:06,280 --> 00:02:09,860
fitness advantage because only one of
these ten males.
36
00:02:09,860 --> 00:02:13,685
Can fertilize the offspring that's
produced by this female.
37
00:02:13,685 --> 00:02:17,585
So even though this female can only
produce one offspring, each of these males
38
00:02:17,585 --> 00:02:22,460
has only a one in ten chance of being the
father of that offspring.
39
00:02:22,460 --> 00:02:24,568
So again, there's a ten fold advantage in
40
00:02:24,568 --> 00:02:28,235
terms of reproduction to females in this
situation.
41
00:02:28,235 --> 00:02:31,384
Both sexes will only have the same
reproductive success
42
00:02:31,384 --> 00:02:36,090
when the population sex ratio is exactly
one to one.
43
00:02:36,090 --> 00:02:39,058
Even tiny deviations from that ratio are
going to provide fitness
44
00:02:39,058 --> 00:02:43,770
advantages that'll favor bias towards the
sex that returns better fitness.
45
00:02:45,520 --> 00:02:47,518
This insight, that persistent sex ratio
bias
46
00:02:47,518 --> 00:02:50,450
of the population can't be stable,
47
00:02:50,450 --> 00:02:53,320
came from a famous theoretician by the
name of Ronald Fisher.
48
00:02:53,320 --> 00:02:55,814
And the way that Fisher expressed it was
that "the sex
49
00:02:55,814 --> 00:03:00,507
ratio will so adjust itself, under the
influence of natural selection,
50
00:03:00,507 --> 00:03:02,885
that the total parental expenditure
incurred in
51
00:03:02,885 --> 00:03:06,000
respect of children of each sex will be
equal.
52
00:03:07,890 --> 00:03:10,374
A nice way to test Fisher's theory is to
experimentally
53
00:03:10,374 --> 00:03:12,642
push the sex ratio away from parity and
then try and
54
00:03:12,642 --> 00:03:16,460
observe whether it evolves back to that
point.
55
00:03:16,460 --> 00:03:18,566
And you can do that in species that have
unusual
56
00:03:18,566 --> 00:03:23,570
forms of sex determination by manipulating
the frequency of the sex alleles.
57
00:03:23,570 --> 00:03:26,540
And this little fish for example, which is
called a Southern Platyfish,
58
00:03:26,540 --> 00:03:31,130
sex is determined by a single
genetic locus that has three alleles.
59
00:03:31,130 --> 00:03:36,580
There are three female genotypes and there
are two male genotypes.
60
00:03:38,010 --> 00:03:38,505
Alexandra Basolo showed
61
00:03:38,505 --> 00:03:41,420
that if the relative frequency of those alleles
62
00:03:41,420 --> 00:03:46,403
is changed - by setting up populations
with biased sex ratio -
63
00:03:46,403 --> 00:03:48,704
selection will favor the rarer sex, and
within
64
00:03:48,704 --> 00:03:53,090
a few generations the ratio swings back to
parity.
65
00:03:53,090 --> 00:03:57,713
So in this case here, if we start off with
a population that is female biased, that
66
00:03:57,713 --> 00:04:03,822
has a relatively low proportion of males.
As we go through the generations,
67
00:04:03,822 --> 00:04:07,630
the sex ratio quickly swings back to
parity.
68
00:04:09,600 --> 00:04:14,120
The same is true if we start with a
population that is quite male biased.
69
00:04:14,120 --> 00:04:16,457
So here we have a high proportion of
males, again,
70
00:04:16,457 --> 00:04:20,944
as we move through just a couple of
generations of reproduction,
71
00:04:20,944 --> 00:04:24,500
we end up with a population that
ends up back at parity.
72
00:04:26,080 --> 00:04:28,870
We can refine Fisher's argument by
rephrasing it in terms of the resources
73
00:04:28,870 --> 00:04:32,066
that are invested.
So far, we've implicitly assumed
74
00:04:32,066 --> 00:04:32,457
75
00:04:32,457 --> 00:04:35,760
that daughters and sons are equally costly to
produce.
76
00:04:35,760 --> 00:04:37,416
But what if we imagine that sons are twice
as
77
00:04:37,416 --> 00:04:41,120
costly as daughters to produce, because
they're twice as big,
78
00:04:41,120 --> 00:04:43,030
and eat twice as much food while they're
developing?
79
00:04:44,470 --> 00:04:46,268
Now, when the sex ratio is one to one, a
80
00:04:46,268 --> 00:04:49,800
son has the same number of children as a
daughter.
81
00:04:49,800 --> 00:04:51,714
But because the sons are twice as costly
82
00:04:51,714 --> 00:04:55,620
to make, they're a bad investment for a
parent.
83
00:04:55,620 --> 00:04:57,720
Because each of the grandchildren that's
84
00:04:57,720 --> 00:04:59,700
produced here, is twice as expensive as
85
00:04:59,700 --> 00:05:03,585
the grandchildren that are produced by a
daughter.
86
00:05:03,585 --> 00:05:07,890
It should therefore pay parents to produce
daughters instead.
87
00:05:09,510 --> 00:05:12,575
We expect the sex ratio to swing toward
the female bias.
88
00:05:12,575 --> 00:05:17,440
And as that happens, the expected
reproductive success of a son will go up.
89
00:05:17,440 --> 00:05:19,378
Until the average son produces twice the
90
00:05:19,378 --> 00:05:22,680
number of grand offspring as the average
daughter.
91
00:05:22,680 --> 00:05:27,620
At that point, sons and daughters will
give exactly the same return per unit of
92
00:05:27,620 --> 00:05:33,077
investment.
Because even though a son costs twice as
93
00:05:33,077 --> 00:05:39,370
much, he provides twice as many offspring
as a daughter does.
94
00:05:42,690 --> 00:05:45,919
What this means is that when the sexes
differ in their costs,
95
00:05:45,919 --> 00:05:48,051
the stable strategy for parents is not to
produce
96
00:05:48,051 --> 00:05:51,920
equal numbers of the two sexes, but to
invest equally.
97
00:05:51,920 --> 00:05:56,250
If males are twice as costly as females,
parents should only produce half as many.
98
00:05:59,800 --> 00:06:01,440
Now to test this prediction, all we need
to do is to
99
00:06:01,440 --> 00:06:04,990
find a study system where the costs of
producing sons and daughters differs.
100
00:06:06,230 --> 00:06:10,060
And a nice example of this comes from two
closely related wasp species.
101
00:06:11,570 --> 00:06:16,050
Polistes variatus is a species where males
and females are equal in size.
102
00:06:17,490 --> 00:06:20,087
A closely related species, Polistes
metricus, has females
103
00:06:20,087 --> 00:06:22,199
that are half the size of males.
104
00:06:24,340 --> 00:06:27,092
Now, in metricus female wasps produce
twice as many
105
00:06:27,092 --> 00:06:31,960
females as in males amd variatis equal
numbers are produced.
106
00:06:31,960 --> 00:06:34,816
So, exactly as predicted by Fisher, when
males cost
107
00:06:34,816 --> 00:06:39,060
twice as much as females, half as many are
produced.
108
00:06:40,760 --> 00:06:42,828
So, the take home message from this
lecture is that at the
109
00:06:42,828 --> 00:06:47,040
population level we expect sex ratios to
be pretty near parity.
110
00:06:47,040 --> 00:06:49,432
A parent should invest in sons and
daughters near
111
00:06:49,432 --> 00:06:53,670
equally, based on how many are produced
and what they cost to produce.
112
00:06:55,030 --> 00:06:58,038
However, we'll see in the next lecture
that there are some contexts that might
113
00:06:58,038 --> 00:07:02,460
favor a bias in production of sons and
daughters at the level of the individual. |