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Copyright © 1999, The National Academy of Sciences From the Academy Morphological innovation and developmental genetics *Department of Earth and Space Sciences, Molecular Biology Institute, Institute for Geophysics and Planetary Physics, University of California, Los Angeles, CA 90095-1567; §Department of Biology, University of Rochester, Rochester, NY 14627; and ¶Department of Organismal Biology and Anatomy and ‖Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637 †To whom reprint requests should be addressed. E-mail:
marshall/at/harvard.edu. ‡Present address: Department of Earth and Planetary
Sciences, Harvard University, Cambridge, MA 02138. This paper is a summary of a session presented at the tenth
annual symposium on Frontiers of Science, held November 19–21,
1998, at the Arnold and Mabel Beckman Center of the National Academies
of Sciences and Engineering in Irvine, CA. Abstract How do the actions of individual genes contribute to the complex
morphologies of animals and plants? How widespread are these genes
taxonomically? How many genes are involved in the morphological
differences observed between species, and can we identify them? To what
extent can empirical data and theory be reconciled? We provide an
overview of some recent attempts to answer these questions, answers
that have taken us to the threshold of understanding the mechanistic
basis and evolutionary factors that underlie morphological innovation. Over the past two decades, developmental biologists have made
great strides in understanding embryonic pattern formation at the
genetic, molecular, and cellular levels. Much of this progress is
because of the remarkable success of studies of pattern formation in
model systems, such as the fruit fly Drosophila
melanogaster. Identification of genes that play major roles in
setting up the body plan, followed by the discovery that many of these
genes are well conserved even between different phyla, has also led to
a renaissance in the investigation of the links between evolution and
development. Using data from model systems, we are beginning to explore
the degree to which developmental pathways have been conserved or
altered between various organisms. Insights gained will help us
understand the evolutionary changes in the mechanisms of pattern
formation and provide a molecular basis for analyzing the
diversification of body morphologies and developmental mechanisms.
Eventually, such studies may allow us to understand the nature of the
mutations that provide selectively advantageous changes for an
organism. A number of comparative studies aimed at examining the evolution of
body morphology have focused on a well characterized set of genes
termed the homeotic (Hox) genes. The Hox genes are known to play a
major role in specifying regional identity along the
anterior–posterior axis of animals from a wide range of phyla (1).
Their potential role in altering body plan patterning during evolution
was recognized soon after their characterization (2). For example,
because altering the regulation of the Hox gene
Ultrabithorax (Ubx) transforms a normally
two-winged fly into a four-winged mutant, it was thought that
evolutionary changes in Ubx regulation might explain the
difference between insects that normally have four wings versus those
that normally have two (2). A comparison of Ubx expression
in flies and butterflies (butterflies normally have four wings)
revealed that in fact the difference does not seem to be at the level
of Ubx regulation (3), but instead at the level of genes
downstream of Ubx (4). Thus, despite their clear potential
to alter body plans on mutation in Drosophila, it has been
difficult to document actual evolutionary changes in arthropod body
plans that can be attributed to alterations in the initial boundaries
of Hox gene expression. Recently, however, Averof and
Patel (5) demonstrated a striking correlation within the crustaceans
(lobsters, shrimp, crabs, etc.) between Hox gene expression and the
evolution of their body morphology. By analyzing the expression of the
Hox genes Ubx and abdominal-A (abd-A)
in 13 crustacean species in 9 different orders, they showed that the
initial embryonic anterior expression boundary of
Ubx/abd-A can be used to predict where in the
body plan the transition from the anterior feeding appendages to the
distinctive posterior locomotory appendages occurs (Fig.
(Fig.1).1
Given the widely documented role of Hox genes in specifying segmental
identity in a number of organisms, Averof and Patel (5) suggest that
the association between Hox gene expression and appendage morphology
during crustacean evolution may be direct and causal, and thus that
homeotic genes may play a role in the normal process of adaptive
evolutionary change. Furthermore, the existence of segments with
intermediate morphology associated with reduced levels or mosaic
patterns of Hox gene expression suggests that these “homeotic”
changes may occur gradually through the accumulation of mutations that
slowly alter homeotic gene expression during arthropod evolution. For
now, we do not know whether these changes in
Ubx/abd-A expression are because of
cis-regulatory changes in these genes themselves, or trans changes in
one or more upstream regulators of these homeotic genes. Furthermore, in studies of the role of Ubx/abd-A
in the regulation of abdominal appendages in insects, a variety of
sequential changes in this regulatory interaction have been found (6).
It appears that in phylogenetically primitive insects (and
crustaceans), neither Ubx nor abd-A represses
limb formation; in phylogenetically intermediate insects,
abd-A, but not Ubx, appears to repress limb
formation; and in the most phylogenetically derived insects, such as
Drosophila, both Ubx and abd-A repress
limb formation. We now turn to questions concerning the number of genes involved in
differences between species and the sizes of their effects. Does the
evolution of animal and plant form typically result, for instance, from
the action of many genes of small effect or from a few genes of large
effect? Historically, evolutionists have favored the first, polygenic
view. Indeed, traditional quantitative genetic theory largely rests on
the so-called infinitesimal assumption, i.e., the assumption that
phenotypic change involves many factors of very small effect each. Recent quantitative trait locus (QTL) analyses have, however, called
this view into question. QTL analysis, a powerful fusion of molecular
and quantitative genetics, allows genetic dissection of morphological
differences between pairs of crossable taxa. By producing hybrids who
carry random combinations of chromosome regions from two taxa (where
species identity of regions is inferred from molecular markers), and by
scoring the mean phenotype of each genotype, one can map, count, and
estimate the effects of genes underlying the trait studied (7). Such
analyses routinely reveal that morphological differences involve a
modest number of chromosome regions of substantial effect. To date, QTL
studies have focused on agriculturally important organisms. Recent
studies by Doebley and colleagues (8, 9), for instance, have shown that
morphological differences between maize and its ancestor, teosinte, may
involve as few as five factors. Remarkably, differences in lateral
branching pattern appear to reflect the action of a single gene,
teosinte branched-1 (tb1) (9). Given their history of strong artificial selection, crops may not, of
course, be representative of more natural phenotypic differences that
do not involve human intervention. But a small but growing body of
evidence suggests that “natural adaptations” may also involve a
modest number of genetic factors (10–12). In summary, it appears that
the distribution of gene effects underlying morphological evolution may
be highly leptokurtic: whereas many genes of small effect may be
involved, a few factors of large effect might account for the lion’s
share of phenotypic differences between taxa (9). Can we account for such results theoretically? Although evolutionary
biology possesses a rich and formidable body of mathematical theory,
virtually all assumes that evolution reflects either the cumulative
effects of many infinitesimal contributions (quantitative genetics) or
changes at single loci (population genetics). Although not widely
appreciated, it is clear that neither tradition allows prediction of
phenotypic effects among factors found in QTL studies. Recent work suggests, however, that such predictions are possible.
These new studies take advantage of a mathematical idealization of
evolution first offered by Fisher (13). Under this idealization,
organisms are viewed as comprising n independent characters,
with fitness falling off from the optimum at the same rate for all
traits. Fisher used this model to calculate the probability that
mutations of a given phenotypic size would be favorable, showing that,
whereas small mutations have a good chance of being advantageous,
larger ones suffer a rapidly decreasing probability. Fisher thus
arrived at his now famous conclusion that small mutations are the stuff
of adaptation. It was only much later realized, however, that Fisher
had neglected an important aspect of adaptation—the probability of
fixation; to contribute to adaptation, mutations must not only be
favorable but must escape random loss when rare. Noting that the
probability of such escape increases with the phenotypic size of a
mutation, Kimura (14) argued that mutations of intermediate size are
the most likely to underlie adaptation. Unfortunately, Kimura’s analysis was also incomplete, because after
some change in the environment, evolution toward a new morphological
optimum might involve many evolutionary steps (substitutions), not one,
as Kimura tacitly assumed. Thus, the distribution of greatest
biological interest concerns phenotypic effects among factors fixed
when summing over an entire “adaptive walk” to an optimum. This
distribution—and not Kimura’s—roughly corresponds to the one
glimpsed in QTL analysis. This distribution was recently derived by Orr (15), who showed that
(i) it is approximately exponential, unlike those of Fisher
and Kimura; (ii) this result is remarkably robust to changes
in the distribution of mutational effects, as long as small mutations
are more common than large; and (iii) the expected size of
the largest factor fixed during adaptation is quite large. This work
thus provides a heuristic expectation for the results of QTL studies.
Although such analyses remain in their infancy, this work suggests that
evolutionary theory might provide surprisingly simple, robust
predictions about the genetics of morphological change. Equally
important, they suggest that the traditional infinitesimal view of
phenotypic change is deeply flawed and provide population genetic
support for the search for genes of large effect underlying
morphological change. References 1. Manak J R, Scott M P. Development Suppl. 1994. pp. 61–71. 2. Lewis E B. Nature (London). 1978;276:565–570. [PubMed] 3. Carroll S, Gates J, Keys D, Paddock S W, Panganiban G F, Selegue J, Williams J A. Science. 1994;265:109–114. [PubMed] 4. Weatherbee S D, Halder G, Kim J, Hudson A, Carroll S. Genes Dev. 1998;12:1474–1482. [PubMed] 5. Averof M, Patel N H. Nature (London). 1997;388:682–686. [PubMed] 6. Palopoli M F, Patel N H. Curr Biol. 1998;8:587–590. [PubMed] 7. Tanksley S D. Annu Rev Genet. 1993;27:205–233. [PubMed] 8. Doebley J, Stec A. Genetics. 1991;129:285–295. [PubMed] 9. Doebley J, Wang R-L. Cold Spring Harbor Symp Quant Biol. 1997;22:361–367. [PubMed] 10. Bradshaw H D, Otto K G, Frewen B E, McKay J K, Schemske D W. Genetics. 1998;149:367–382. [PubMed] 11. Jones C D. Genetics. 1998;149:1899–1908. [PubMed] 12. Orr H A, Irving S. Evolution. 1997;51:1877–1885. 13. Fisher R A. The Genetical Theory of Natural Selection. Oxford: Oxford Univ. Press; 1930. 14. Kimura M. The Neutral Theory of Molecular Evolution. Cambridge, U.K.: Cambridge Univ. Press; 1983. 15. Orr H A. Evolution. 1998;52:935–949. |
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Nature. 1978 Dec 7; 276(5688):565-70.
[Nature. 1978]Science. 1994 Jul 1; 265(5168):109-14.
[Science. 1994]Genes Dev. 1998 May 15; 12(10):1474-82.
[Genes Dev. 1998]Nature. 1997 Aug 14; 388(6643):682-6.
[Nature. 1997]Nature. 1997 Aug 14; 388(6643):682-6.
[Nature. 1997]Curr Biol. 1998 May 7; 8(10):587-90.
[Curr Biol. 1998]Annu Rev Genet. 1993; 27():205-33.
[Annu Rev Genet. 1993]Genetics. 1991 Sep; 129(1):285-95.
[Genetics. 1991]Cold Spring Harb Symp Quant Biol. 1997; 62():361-7.
[Cold Spring Harb Symp Quant Biol. 1997]Genetics. 1998 May; 149(1):367-82.
[Genetics. 1998]Cold Spring Harb Symp Quant Biol. 1997; 62():361-7.
[Cold Spring Harb Symp Quant Biol. 1997]Nature. 1997 Aug 14; 388(6643):682-6.
[Nature. 1997]