<br />adequate for flatheads. Pristine rivers must have supported
<br />numbers of other native fishes adequate to feed Colorado
<br />squawfish as well.
<br />Genetics. Conserving genetic variation has been a major fo-
<br />cus of recovery efforts for many endangered species, includ-
<br />ing Colorado River fishes (Wydoski 1994). It is important to
<br />retain the variation that will permit adaptation to environ-
<br />mental change, particularly because many imperiled taxa are
<br />in recently altered habitats and thus exposed to new biolog-
<br />ical threats, including nonnative predators, competitors, and
<br />parasites. In general, the amount of genetic variation within
<br />a population results from a balance between mutation, which
<br />introduces new variation, and genetic drift, which reduces it.
<br />Also, selection may reduce the frequency of detrimental vari-
<br />ants or increase the frequency of advantageous alleles.
<br />Franklin (1980) suggested that for neutral variants, if the
<br />effect of new mutations is about a thousandth of the envi-
<br />ronmental variance in fitness per generation, then loss of
<br />genetic variation in a finite population is balanced when ef-
<br />fective population size (N? see Hedrick 2000) is 500. N can
<br />be thought of as the size of a theoretical, randomly breeding
<br />population with the same rate of genetic drift as the popula-
<br />tion in question. This was the basis for Franklin's very gen-
<br />eral choice of N = 500 for maintaining genetic variation. How-
<br />ever, N equals the adult breeding number only if, from
<br />generation to generation, individuals at the same life stage are
<br />produced at random, that is, if all parents are equally likely
<br />to contribute gametes. For most organisms, there typically is
<br />higher variance in contribution than predicted from ran-
<br />dom breeding because of unequal sex ratio, high variance in
<br />mating success, fecundity or progeny survival over individ-
<br />uals, and other factors. Further, IV over time (i.e., generations)
<br />depends on the harmonic mean of the number of individu-
<br />als for each generation, which may be far lower than the
<br />arithmetic mean (Hedrick 2000). Lande (1995) suggested
<br />up to 90% of the inacasc in gcnctic variant by mutation ovcr
<br />time may be caused by changes that unconditionally reduce
<br />fitness, so most new variation is unavailable for adaptive
<br />change. Thus, he thought that N. = 5000 may be required to
<br />maintain potentially adaptive genetic variation. Franklin and
<br />Frankham (1998) suggested that this number may be too
<br />high, largely because heritability may be lower than Franklin
<br />(1980) and Lande (1995) assumed. Lynch and Lande (1998)
<br />noted that the mutation rate for some traits (e.g., genes that
<br />may confer disease resistance) may be 1000-fold lower than
<br />for quantitative traits, making the numbers needed to main-
<br />tain their variation 1000-fold higher.
<br />Caution should be used in discussing N because impor-
<br />tant parameters-mutation rates, selection on new mutants,
<br />and N. itself-are poorly uAderstood in general and are un-
<br />known for Colorado River fishes. Also, the actual N may be
<br />a fraction of the total adult population. Frankham (1995) re-
<br />viewed published estimates and suggested that N is only
<br />about 10% of the adult population size. Within-generation
<br />estimates of the ratio of N to adult numbers often appear
<br />higher than 0.10 (Vucetich et al. 1997), but for long-term
<br />maintenance of genetic variation, temporal variance in N
<br />should be included. In other words, to maintain genetic vari-
<br />ation in a population with N. of 500 would require a census
<br />population (N) size of approximately 5000 adults per gen-
<br />eration. With N. of 1000 (e.g., USFWS 2002a, 2002b, 2002c,
<br />2002d), an adult N of approximately 10,000 would be
<br />required.
<br />Large populations of the four endangered fishes were
<br />present in the lower Colorado River as late as the mid-20th
<br />century. Because generation time is long (4 to 8 years or
<br />more) and the age span of reproduction is large in all four
<br />species, there probably have been few recruitment failures
<br />where genetic variation could be lost to the succeeding gen-
<br />eration. Thus, we expected extensive variation to remain in
<br />today's wild adults. One way to examine this is to explore the
<br />amounts of variation for molecular variants. An estimate of
<br />long-term N can be derived from mitochondrial DNA
<br />(mtDNA) sequence data (Garrigan et al. 2002), using a max-
<br />imum likelihood approach. This method assumes, as above,
<br />that new sequence variants appear by mutation and are elim-
<br />inated by genetic drift. For a given mutation rate and NP a
<br />sample of mtDNA sequences thus should exhibit an appro-
<br />priate pattern of pairwise differences. However, these long-
<br />term estimates of the effective population size for a species
<br />throughout a substantial portion of its evolutionary history
<br />do not necessarily reflect the historical or recent effective
<br />population size. Other approaches can be used to estimate con-
<br />temporary effective population size (Hedrick 2000), a topic
<br />we do not consider here.
<br />Examination of mtDNA sequence variation in bonytail,
<br />humpback chub, and razorback sucker showed substantial
<br />variation (Garrigan et al. 2002): 5, 3, and 10 haplotypes were
<br />found in samples of 16,18, and 49 individuals, respectively
<br />(table 3). In a sample of 16 bonytail, 4, 7, and 5 individuals
<br />exhibited three haplotypes: Zx, Zz, and Yy, respectively
<br />(figure 4b). Humpback chub and razorback sucker genealo-
<br />gies are similar in that rare haplotypes are most divergent and
<br />common haplotypes are closely related. Humpback chub
<br />and razorback sucker showed similar divergence over all
<br />sequences of about 1.5 nucleotides between all pairwise com-
<br />parisons, while bonytail averaged 2.8 nucleotide differences.
<br />Assuming a mutation rate of 2 x 10' per nucleotide, we can
<br />estimate the long-term female effective population size from
<br />these data (table 3). If population size is constant over evo-
<br />lutionary time, estimates are 97,500, 89,500, and 669,000 for
<br />humpback chub, bonytail, and razorback sucker, respectively.
<br />Overall effective population size should be about twice this
<br />value if sex ratios are equal. Taking population growth into
<br />account, estimates suggest bonytail has been declining and ra-
<br />zorback sucker expanding in numbers over evolutionary
<br />time (table 3). Overall, this analysis suggests the three species
<br />historically existed in large numbers.
<br />Although there is less genetic variation for bonytail, and
<br />estimates of effective population size are smallest for it, the
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