In an age when people can visit the bottom of the ocean or the inside of a volcano from the comfort of their living rooms, it may seem strange to ask whether there are any new life forms to be discovered. But, in fact, the extent of life’s diversity has not yet been determined. Just 30 years ago, scientists on board the deep-sea submersible Alvin discovered an unexpectedly diverse community of sea life in hydrothermal springs 2.5 kilometers below the surface of the ocean near the Galapagos. Alvin’s crew found a diverse community, including giant tubeworms, huge clams, and ghost-like crabs thriving around the hot submarine springs (Van Dover, 2000). This complex ecosystem was fueled not by the harvesting of the sun’s energy by photosynthesis but by energy derived by bacteria from the hydrogen sulfide spewing from the vents.
The study of life’s diversity involves more than just going into the world or the laboratory and looking for new things. The places we look, the tools we use, and the experiments we do are influenced by our theoretical and conceptual understanding of the limits of life, the mechanisms of evolution, and the role and significance of diversity. Conversely, new observations and experimental results are constantly forcing us to adjust our theoretical framework. This chapter gives examples of the extent of diversity at several different scales in biology and illustrates the many roles that theory plays in the study of these different kinds of diversity.
The fantastic creatures that populate the ocean’s hydrothermal vents are just one example of situations where discoveries have triggered an expansion of biology’s theoretical framework. Our views of where life can exist have been regularly revisited; organisms are being discovered in
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3
Are There Still New Life Forms to Be
Discovered?
The Diversity of Life—Why It Exists and
Why It’s Important
In an age when people can visit the bottom of the ocean or the inside
of a volcano from the comfort of their living rooms, it may seem strange
to ask whether there are any new life forms to be discovered. But, in fact,
the extent of life’s diversity has not yet been determined. Just 30 years ago,
scientists on board the deep-sea submersible Alvin discovered an unexpect-
edly diverse community of sea life in hydrothermal springs 2.5 kilometers
below the surface of the ocean near the Galapagos. Alvin’s crew found a
diverse community, including giant tubeworms, huge clams, and ghost-like
crabs thriving around the hot submarine springs (Van Dover, 2000). This
complex ecosystem was fueled not by the harvesting of the sun’s energy by
photosynthesis but by energy derived by bacteria from the hydrogen sulfide
spewing from the vents.
The study of life’s diversity involves more than just going into the world
or the laboratory and looking for new things. The places we look, the tools
we use, and the experiments we do are influenced by our theoretical and
conceptual understanding of the limits of life, the mechanisms of evolution,
and the role and significance of diversity. Conversely, new observations
and experimental results are constantly forcing us to adjust our theoretical
framework. This chapter gives examples of the extent of diversity at several
different scales in biology and illustrates the many roles that theory plays
in the study of these different kinds of diversity.
The fantastic creatures that populate the ocean’s hydrothermal vents
are just one example of situations where discoveries have triggered an
expansion of biology’s theoretical framework. Our views of where life
can exist have been regularly revisited; organisms are being discovered in
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
habitats—from the human stomach to more than a mile underground—
where conditions were thought to be too harsh to allow life. New birds,
plants, and mammals are still found with some regularity. Entomologists
name and describe new insect species at a rate of about 1,500 per year. The
evidence that some genes have been conserved throughout evolution and
the availability of polymerase chain reaction to survey those genes made
it possible to begin exploring the diversity of the microscopic world. Sud-
denly, tiny organisms that appeared under the microscope to have only a
few basic and uncomplicated body forms were revealed to be unimaginably
diverse—in fact a new kingdom of life, the Archaea, was discovered to be as
different from bacteria as bacteria are from eukaryotes (Woese et al., 1990).
The advent of high-throughput sequencing and sophisticated computational
analysis has allowed biologists to begin to plumb the diversity of the micro-
bial world, and it appears that life at the microscopic level is vastly more
diverse than biologists ever imagined. A recent survey of microbes in the
ocean using an approach called metagenomics not only revealed thousands
of previously unseen genes but hundreds of novel protein families. Families
of proteins that were already known, like the rhodopsins that absorb light
in the human retina, were found to have hundreds of distinct members in
the ocean sample (Bejà et al., 2000, 2001). The vast numbers of new genes
are not necessarily mere variations on known themes; the potential func-
tional diversity—in other words, proteins and synthetic pathways that carry
out currently unknown reactions—to be found in microbial communities is
enormous (e.g., Venter et al., 2004; Zhang et al., 2006; Gill et al., 2006).
What is the significance of discovering one more beetle, one more
bacterium, or one more protein? One answer lies in the incredible diversity
of functions that evolution has generated. Nature has foreshadowed our
technical developments, and functional biodiversity can be a fertile source
of ideas for technology. For example, a group of neuroscientists has found
a parasitic fly that can locate the sounds of its hosts—field crickets—with
unparalleled accuracy. Remarkably, the fly’s ears are tiny and only one-half
millimeter apart (Mason et al., 2001). The fly’s ears have inspired the design
of directional microphones and a new generation of directional hearing
aids. Another example is a group of brittlestars (relatives of sea stars) that
have turned their skeletons into a visual system made up of arrays of micro-
scopic lenses (Aizenberg et al., 2001). The lenses detect light and allow the
animals to find dark hiding places on the ocean bottom. Such small lenses
are beyond current human engineering capability. However, their precisely
curved shape and the way they are arrayed are prompting engineers to cre-
ate novel optical devices.
Recognizing that nature provides a vast toolbox is only one motivation
for studying life’s diversity. The complex interconnected web of living spe-
cies is critical to human life. Humans depend on the living world in count-
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0 THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
less ways. The connection between biological diversity and the stability of
ecosystems is only imperfectly understood. Clearly, the living world will
continue to evolve in response to environmental change, but from the hu-
man perspective the time scale of that adaptation is crucial. Understanding
the role of biological diversity and how it is generated, maintained, and lost
is a critical goal for 21st-century biology.
MAKING SENSE OF LIFE’S DIVERSITY
The Diversity of Species
The effort to identify, describe, and name distinct organisms in a
systematic and coherent framework has been underway for hundreds of
years. These activities are called taxonomy. Currently, systematists—a name
change that reflects a change in the underlying conceptual basis of classify-
ing diversity—study the details of organisms’ characteristics and the inter-
relationship of characteristics between different organisms (e.g., whether
the middle finger of a human corresponds to the middle digit of a bird;
Wagner and Gauthier, 1999). Systematists use such comparisons to organize
organisms into a classification system that rationally groups similar organ-
isms together. Both the methods by which these activities are carried out
and the description of the astonishing diversity of organisms are works in
progress. They are essential works, for a system of nomenclature and clas-
sification is necessary in order to organize knowledge about the millions of
species, known and yet to be described. Clearly a system of classification
requires the underpinning of a robust theoretical framework.
The still commonly taught hierarchical Linnaean form of classification
(species, genus, family, etc.) was proposed and developed by Carl Linnaeus
(1707-1778) a century before The Origin of Species. While Linnaeus is
credited with devising a system for the orderly classification of species, in
fact, his own classification schema for plants grouped them strictly accord-
ing to the number and arrangement of their reproductive parts, leading
to groupings, like castor beans with conifers, that now sound illogical.
Linnaeus’s binomial naming system has survived, but subsequent taxono-
mists followed the example of naturalists like John Ray (1628-1707), who
had begun to classify organisms on the basis of groups of morphological
and physiological characteristics. The prevailing theory underlying the
study of diversity at that time was that there existed a fixed number of spe-
cies and that the job of naturalists was to name and catalog each of them
in a logical way. The fastidious work of specimen collection followed by
comparative morphology and physiology, while carried out within what
is now seen to be a false theoretical framework (that the number of spe-
cies was fixed and that species did not change over time), nevertheless
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
provided the body of data that Darwin used to develop the new theory
of descent with modification. With the addition of Darwin’s theory of
evolution, comparative morphology and physiology became a richer un-
dertaking, and it became possible also to integrate extinct life forms into
the tree of life by studying the characteristics of fossils. The classification
systems developed by comparative taxonomists from John Ray forward,
indeed, correspond surprisingly well with the genetic data that began to
emerge after the identification of DNA as the molecule of heredity. The
theoretical relationships between organisms proposed by taxonomists can
now often be demonstrated through computational comparison of their
genetic sequences, a field known as “phylogenetics.” Indeed, the theoretical
hypothesis of descent with modification provided a rich source of potential
experiments that could be carried out bio-informatically. The comparison
of gene sequences through phylogenetics has confirmed that many of the
taxa (hierarchical groups of organisms such as “arthropods” or “insects”)
recognized by pregenetic classification schemes correspond to evolutionary
lineages. The theoretical basis of modern systematics rests on grouping
species into taxa, or “clades,” that, according to the best interpretation of
data, have descended from a common ancestor and thus form one branch
of the great tree of life, the phylogeny1 of all organisms.
Classification of organisms into named grouping entities (i.e., taxa) is
a nontrivial task, but there has been enormous progress in phylogenetic
systematics, owing both to the development of increasingly sophisticated
statistical methods and algorithms for inferring phylogeny and to DNA
sequencing. In particular, DNA sequences provide data that can be treated
quantitatively and are more broadly comparable across the diversity of life
than the type of data that predated the molecular revolution (Kim, 2001a).
Indeed, the recent availability of genome-scale information and whole
genomes enhances our ability to construct phylogenetic relationships by
considering multiple related genes, genomic rearrangements, genomic con-
tent, or even functional relationships of genomic components (e.g., Boore,
2006; Wolfe and Li, 2003).
Phylogenetic descriptions of diversity are immensely useful, partly be-
cause they capture a great deal of information and partly because they give
us a guide to the history of organisms and their characteristics. Phylogenies
summarize a great deal of history and can be used for tracing the evolution
of the traits and molecular characteristics of even extinct organisms (see
Box 3-1). Historical trends as revealed by phylogeny can have important
applications as well. Just as the knowledge of past trajectory is used to
gauge the future landing site of a thrown football, phylogenetic reconstruc-
1A phylogeny is a tree-like diagram where branches represent evolutionary lineages and
leaves represent current organisms.
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
Box 3-1
What Could Dinosaurs See?
By comparing current DNA sequences, biologists can deduce the sequences
of those genes in the ancestors of current species. Chang (2003) and colleagues
investigated the characteristics of the visual pigments (rhodopsins) of archosaurs,
the ancestors of dinosaurs, birds, and crocodiles. Phylogenetic analyses allowed
the comparison of rhodopsin genes of a wide variety of living organisms and
generation of the best estimate of what the gene sequence would have been in
their distant, common ancestor. Most interestingly, the theoretically deduced gene
sequence could be cloned into laboratory bacteria where it was shown to code
for a functional protein. The function of the reconstructed protein could then be
tested. It was shown to be most sensitive to light of the wavelength of 508 nm—a
slightly longer wavelength than that perceived by modern vertebrates—suggesting
that archosaurs may have been able to see in dim light. Thus the work both sheds
light on the lifestyles of extinct organisms and validates the general approach of
theoretical estimation of ancestral gene sequences, followed by direct laboratory
study of the reconstructed proteins.
SOURCE: Chang et al. (2002).
tions can be used to estimate prospective evolution of rapidly evolving or-
ganisms such as influenza viruses or antibiotic-resistant bacteria and hence
to develop vaccine and treatment strategies (Smith et al., 2004; Koelle et
al., 2006).
There remain both practical and conceptual limitations to using phy-
logenetic trees to create classifications. The limitations fall into two basic
categories. First, the mathematics is extremely complicated. Second, while
evolution is driven by general rules of natural selection, there is also an
element of chance. Many possible genotypes may have the same phenotype
and fitness, so that the eventual descendant whose sequence is studied today
could have many equally possible ancestors.
There are biological, statistical, and computational challenges in
phylogenetic reconstruction. First, on the biological side, there are ap-
proximately 1.5 million described organisms and vastly more unde-
scribed organisms. It is still a huge challenge to obtain phylogenetically
relevant information from such a large collection of organisms—the
development of new technologies such as massively parallel sequencing
will be critical to solving this problem. Accurate estimates of phylogeny re-
quire statistical models of evolution as a base starting point. There are still
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
considerable problems in constructing biologically reasonable yet compu-
tationally approachable statistical models. For example, it is very difficult
to resolve the branching order among lineages that diverged either very
recently or very long ago. Solutions to these problems will likely require
statistical models of molecular processes other than simple single base-pair
DNA mutations as employed now.
The major challenge of phylogenetic tree estimation lies in the compu-
tational domain. Consider that for only 10 species there are over 34 million
possible alternative phylogenetic trees, and for 30 species there are more
numbers of possible trees than there are atoms in the universe! The goal of
phylogenetic estimation algorithms is to select the optimal tree among such
impossibly large numbers of possibilities. The magnitude of this computa-
tional challenge has led a computer scientist to exclaim “There are enough
problems, already formulated or yet to be developed, to keep teams of algo-
rithm designers busy for many years, and just the right combination of real
data, credible simulation, and scaling issues to make phylogenetics [italics
ours] the ideal testing ground for algorithm engineering” (Moret, 2005). In
other words, the problems of phylogenetics are challenging enough to test
the mettle of the state-of-the-art approaches of mathematicians, engineers,
and computer scientists. The importance of getting it right, however, is high
because the tree of life is our map to life’s history and to the relationships
among organisms. The tree of life is used as a guide for research and to
find out the origin of traits, including why human bodies are vulnerable to
certain kinds of failure. The seemingly inexplicable narrowness of our birth
canal and the persistence of genes that cause diseases have their origin in
our evolutionary history, and why humans live as long as we do can be bet-
ter understood when scientists find our position in the tree of life and trace
how the working features of organisms have evolved along its branches
(Nesse et al., 2006).
The Challenge of Microbial Diversity
A basic concept underlying phylogeny is that diversity arises from the
branching of lineages from a common ancestor rather than from fusion
(hybridization) of distinct lineages. The many species of finches on the Gala-
pagos arose from a single ancestor species whose descendants specialized on
different food sources, not from mixing and matching between an ancestral
finch and other specialized birds. Therefore, evolutionary theory suggests
that evolution should create genealogical trees rather than networks. This
idea captures the broad pattern of evolution and has been immensely useful,
yet it can be problematic for some organisms, especially the noneukaryotes.
Early results of metagenomics studies (see Box 3-2) demonstrate that the
genomes of bacteria and archaea are extremely variable. Organisms that
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
Box 3-2
Theoretical Questions That Can Be Addressed with
Metagenomics
One of the most exciting recent developments in microbiology is community
genomics or metagenomics. Instead of trying to isolate and study individual micro-
bial species, practitioners of this approach characterize DNA from entire mixed mi-
crobial communities. The metagenome of a habitat includes the genomes of all the
microbes living in that habitat. Thus, in metagenomics, genes and their functions
are studied independently of the species from which the DNA is derived. Metage-
nomics makes accessible the diversity of the microbial world and has considerable
potential to transform biologists’ view of life. A recent report (The New Science of
Metagenomics, NRC, 2007) expanded on the conceptual and theoretical ques-
tions that may gain new answers in the light of metagenomic research.
“Decades of genetic, molecular, and biochemical dissection of microbial life have
revealed the detailed structure and inner workings of several bacteria and archaea.
Although there is much more to learn even about model organisms, such as E. coli,
many individual pathways for nutrient cycling, gene regulation, and reproduction are
understood at a satisfying level of precision. But these processes in the majority of
microbes remain unknown and knowledge of the evolution and ecology of microbial
communities lags far behind cellular microbiology. Basic ideas that organize biologists’
understanding of the living world may need refinement in the face of greater under-
standing of community function.
What is a genome? The number of genes in the genome of a free-living bacterium
ranges from 500 to 10,000 or more; the largest bacterial genomes are more than
twice the size of the smallest eukaryotic genomes. In contrast, the genomes of many
parasitic or symbiotic microbes are highly reduced, with not nearly enough genes to
support them independently of their hosts. As more data accumulate, the definition of
what constitutes a microbial genome will be better informed and underlying principles
governing genomic plasticity in microbes may emerge. . . . If having a more flexible and
dynamic genome structure is a fundamental life-strategy difference between bacteria
and archaea, on the one hand, and eukaryotes, on the other, what are its advantages
and limits? Can understanding the phenomenon help to explain the emergence of
multicellular organisms that have more fixed genomes?
What is the role of microbes in maintaining the health of their hosts? Closely
associated microbial communities appear to be a common, if not universal, fea-
ture of the physiology of multicellular organisms. These communities contribute to
a variety of functions, from digestion to defense against pathogens. All plants and
animals, including humans, can be considered superorganisms composed of many
would be considered the same species on the basis of the similarity of cer-
tain highly conserved genes may be found to have only 50 percent of the
rest of their genes in common, with many other genes that are not found
in every individual. Microbiologists are developing the concept of a “pan-
genome” to describe the set of genes that are shared by all members of a
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
species—animal, bacterial, archaeal, and viral. Using the human as an example, the
human “metagenome” might be considered an amalgamation of the genes contained
in the Homo sapiens genome and in the microbial communities that colonize the body
inside and out. The organisms within these communities are collectively known as the
human “microbiome.” The metagenome of these communities encodes physiological
traits that humans have not had to evolve, including the ability to harvest nutrients and
energy from food that would otherwise be lost because humans lack the necessary
digestive enzymes.
Metagenomics will enable us to address a number of fundamental question. . . . Is
there an identifiable core microbiome shared by all humans? How is each individual’s
microbiome selected? What is the role of host genotype? Should differences in each
individual’s microbiome be viewed, with the immune and nervous systems, as features
of our biology that are profoundly affected by individual environmental exposures?
How is the human microbiome evolving (within and between individuals) over differ-
ent time scales as a function of changing diets, lifestyle, and biosphere? How can
this knowledge be used to manipulate microbial communities to optimize their perfor-
mance in a person or in a population? Most obviously, how does the microbiome affect
health, and vice versa? In the future, previously unrecognized microbial involvement
with disease states will be uncovered. Many host physiological states with primary
genetic or biochemical causation will affect the microbiome in ways that may aid in
diagnosis. Of course, these questions do not apply only to humans—study of host-
associated microbial communities will contribute to understanding of the physiology
of all organisms.
What ecological and evolutionary role do viruses play? Viruses are important not
only as pathogens but as agents of lateral gene transfer and catalysts that generate
tremendous genetic variation in their specific hosts. Viral activity also has important
consequences for turnover of the elements, for example, in carbon cycling in aquatic
systems. It has only recently been recognized that virus particle numbers are enor-
mous, often exceeding those of co-occurring cellular life. For example, seawater
contains 10 times more bacteriophage than cellular microbes. Estimates suggest
the biosphere harbors perhaps as many as 1031 viral particles (Edwards and Rohwer,
2005). Given these vast numbers, the influence of viruses on biodiversity and evo-
lutionary catalysis, and their role in biogeochemical cycling, there is considerable
interest in characterizing naturally occurring virus populations. Metagenomics has
recently provided an important avenue for exploring these ubiquitous and biologically
important entities.”
SOURCE: NRC (2007).
microbial species (Tettelin et al., 2005). The great variability of microbial
genomes is the result of horizontal gene transfer; bacteria and archaea can
exchange genetic material by a number of different mechanisms, even with
organisms that are distantly related. The prevalence of horizontal gene
transfer means that the phylogenetic relationships of microbes may look
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
more like networks than trees and all of an organism’s different genes may
not have the same phylogenetic relationships. For some microbiologists, the
very concept of “species” seems problematic for organisms whose genomes
can be so variable, but others maintain that the concept of species will
be useful for categorizing noneukaryotic organisms. Until more is known
about the extent and pattern of horizontal gene transfer, this conceptual
issue will remain open. Horizontal gene transfer is most common in non-
eukaryotes, but there is evidence of transfer of genes between symbiotic
partners (Hoffmeister and Martin, 2003). While such events may be rare
and not affect the overall shape of the tree of life, their existence provides
evidence of additional sources of genetic variability on which natural se-
lection can act. Defining the role of horizontal gene transfer is only one
of several fundamental theoretical issues raised by the study of microbial
communities (Box 3-2).
Genetic Diversity Is Itself Diverse
Biological diversity is more than species diversity. The study of biodi-
versity usually focuses on changes in species numbers in time and space.
Life, however, is diverse at all scales. There is diversity in the organization
of genomes; in genes and their protein products; in genetic networks and
the molecular machines they assemble and regulate; in strategies for defense
against pathogens, mobility, and detection and reaction to the environment;
and in the morphological, behavioral, and physiological characteristics of
individuals within species. At all these levels, there is constant interaction
between the theories currently used to describe the extent and consequences
of diversity and the relentless flow of new examples of diversity.
Genome Size
The genome of an average mammal has around 3 billion pairs of
nucleotides. This is about a hundred times longer than all the letters in a
20-volume encyclopedia arranged in a line (Avise, 2004). Genome sizes
vary from a few thousand base pairs in viruses to 600,000 base pairs in
some bacteria to more than 200 billion base pairs in some animals. Genome
sizes do not correlate with position on the tree of life—bacterial genomes
range from 0.6 Mbp (Mycoplasma genitalium, an intracellular pathogen)
to approximately 1 Mbp for many free-living bacteria, to 10Mbps for the
filamentous cyanobacterium Nostoc punctiforme. Invertebrate genome sizes
vary by more than three orders of magnitude, from 29Mbp (the root-knot
nematode) to 63 billion bps (an amphipod), while vertebrates vary about
400-fold in size (from the 342 Mbp of the green pufferfish to the 129 bil-
lion base pairs of the marbled lungfish), as indicated in Figure 3-1. The lack
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
FIGURE 3-1 Genome size in various organisms.
SOURCE: Molecular Biology of the Cell, 2002, by Alberts et al. Reproduced with
permission of Li and Sinauer and Garland Science/Taylor & Francis LLC.
3-1
of obvious correlation between genome sizes, phylogenetic relationships,
or organism complexity has stimulated the development of a new area of
biological inquiry and experiment. The sheer size of the genome can accom-
modate a lot of variation, and indeed genomes can differ enormously even
within a single species. Stephens et al. (2001) have estimated that random
pairs of homologous DNA sequences from humans would differ in about 1
out of every 1,000 base pairs, meaning that one human differs from another
at an average of 3 million sites. Individual base pairs are not the only place
at which genomes can vary; a recent study of 270 individuals found that
approximately 12 percent of the genome showed differences in gene copy
number from one individual to another (Redon et al., 2006). Repetitive
genetic elements and transposable genetic elements (segments of DNA that
can move from one spot to another in the genomes of their hosts) may be
found in different places in different individuals.
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
Neutral Theory
Variation in the genetic code is the raw material of natural selection
and thus evolution. However, it is only relatively recently that it has been
understood how vast the extent of genetic variation is, how many differ-
ent forms it can take, and how its magnitude can be estimated. Levels of
genetic variation within a population are determined by important natural
processes, including mutation, demographic structure and fluctuations, and
natural selection. Genetic variation across species is governed by similar
factors, albeit at a longer time scale. Thus, understanding the extent and
limits of variation is a critical component of a theoretical understanding of
evolution. Prior to the molecular era, the magnitude of genetic variation
was controversial. One camp (the “classic” camp) argued that genetic vari-
ability was low and that most individuals in a population shared the same
form of each gene. The alternative camp (the “balance” camp) maintained
that variation was high and that most individuals had different forms of the
same gene (Lewontin, 1974). The controversy simmered for years because
genetic variation was so difficult to measure. The history of the explora-
tion of genetic diversity is a good example of how scientific progress comes
about from the interaction of the development of new technologies, the data
generated, and the theory developed to make sense of the data.
Only about 40 years ago, in 1966, several laboratories used the newly
developed method of gel electrophoresis to separate the proteins produced
by a gene. The method suggested that the genomes of humans and fruit flies
had a lot more variation than anybody expected. The broad applicability
of the initial observations was debated, but the spread of the measure-
ment technologies soon revealed that the larger-than-expected variation
was common for many different genes. Thus, the protein electrophoresis
era helped to resolve the theoretical debate about estimates of genetic
variability and shifted the debate from the amount of genetic variability
to its causes. The “balance” school argued that genetic variation was the
outcome of natural selection (in the jargon of population genetics, of su-
periority of heterozygotes, frequency-dependent selection, and variation
in fitness among habitats). In the meantime, the development of methods
to sequence proteins produced data that suggested that in vertebrates new
amino acid variants become fixed in a typical 100 amino acid protein at
the rate of about 1 per 28 million years. Extrapolating to the size of the
typical genome, Motoo Kimura in 1968 made calculations to show that
such a rate would imply one amino acid variant being replaced in the en-
tire population once every three years. If such a replacement were due to
new advantageous variants, then all individuals without the variant must
be eliminated from the population—an unsustainable “substitution load”
for the population. Thus, he boldly hypothesized that most of the genetic
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
computational/theoretical framework for the prediction of function would
provide a critical boost in efficiency compared to empirically driven, eclectic
approaches.
Diversity of Social and Behavioral Systems
As if life were not diverse enough at the molecular, genomic, species,
functional, and community levels, organisms also have wildly diverse be-
havioral and social interactions. Even a brief survey of the range of diver-
sity at this level would be difficult, so this section discusses one particular
topic that crosses genetic, evolutionary, behavioral, and social boundaries:
the area of sex, gender, and sexuality. This particular area is controversial
and often even politically charged, but incontrovertibly reproduction is
an essential characteristic of all living organisms. The debate over whether
the accepted theoretical framework regarding the role of sexual selection
in evolution, initially outlined by Darwin and subsequently built on for
over a century, can accommodate new data and perspectives, serves as an
example of the integral and often unacknowledged role of theory in bio-
logical research.
Some biologists have drawn attention to many examples of expres-
sions of sex, gender, and sexuality throughout the animal kingdom that
are unanticipated by and challenging to the prevailing theoretical frame-
work. Within evolutionary biology, the conceptual treatment of sex roles
originated with Darwin’s theory of sexual selection. Darwin introduced this
theory because of traits like the peacock’s tail that are termed ornaments
and that are not readily understood as adaptations for survival. Instead,
Darwin hypothesized that such traits find their evolutionary value in how
they promote mating. The process that causes traits to evolve because of
how they contribute to mating is called “sexual selection,” which Darwin
contrasted with “natural selection,” the process causing traits to evolve
that promote survival.
When Darwin proposed his theory of sexual selection, he took the
peacock and peahen, and the stag and doe, as emblematic of males and
females generally. He asserted generalizations like, “Males of almost all
animals have stronger passions than females” and “the female . . . with the
rarest of exceptions is less eager than the male . . . she is coy” (Darwin,
1871). Darwin amassed examples to support these claims of universality.
Sexual selection thus enunciates a norm of natural sexual conduct. Species
that depart from the sexual selection templates of passionate male and coy
female are then seen as “exceptions” meriting special discussion to account
for their deviant behavior.
However, there are many species in which males and females are virtu-
ally indistinguishable, as with the guinea pigs many people raise as pets,
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
or birds like penguins, where sexes can only be distinguished by careful
inspection of the genitals. In other species, males are not passionate, nor
females coy, and the females consistently pursue the males. Female alpine
accentors from the central Pyrénées of France, for example, solicit males for
mating every 8.5 minutes during the breeding season. Ninety-three percent
of all solicitations are initiated by the female approaching the male, with
the other 7 percent by him approaching her (Davies et al., 1996). This fre-
quent sexual contact greatly exceeds that needed specifically to fertilize the
relatively few eggs that are reared.
Or what can be concluded from the seahorse and pipefish, in which the
male is drab and the female ornamented, and in which the male raises the
young in a pouch into which the female deposits eggs? Such species exhibit
what biologists call “sex role reversal.” The females are said to compete
for access to males, with the males choosing females for their ornaments,
resulting in showy females and drab males, the reverse of the peacock.
Such a situation contradicts the traditional assumption that the cheapness
of sperm invites passionate male promiscuity and the expensiveness of eggs
necessitates female coyness during their careful choice of good gene-bearing
males. But male seahorses make tiny sperm just as male peacocks do, and
female seahorses make large eggs just as peahens do; nonetheless, male
seahorses care for the young and female seahorses entrust their eggs to a
male’s pouch.
In many species, multiple types of males and females, each with dis-
tinct identifying characteristics, carry out special roles at the nest both
before and after mating takes place. In the sandpiper-like European ruff,
black-collared males build nests in small defended territories called courts
within a communal display area called a lek. Meanwhile, white-collared
males accompany females while the females feed. The white-collared males
then leave the company of the females and fly to the lek where they are
solicited by the black-collared males to join them in their courts. When
the females eventually arrive at the lek to lay eggs, they are romanced by
pairs of males—one black-collared male paired with one white-collared
male in some courts, as well as by single black-collared males in courts by
themselves. Evidently, females prefer to lay eggs in nests hosted by a pair
of black-collared and white-collared males at which both males serve as
parents, rather than in nests hosted solely by one black-collared male, per-
haps because the white-collared male has formed a bond with the females
while he was accompanying them during their feeding. Perhaps white-col-
lared males serve as “brokers” who introduce females to the black-collared
males, who have not previously had the opportunity to meet females while
they were busy setting up and defending courts in the leking area. There are,
in fact, many examples of family organizations consisting of trios such as
the ruffs, or of species with reproductive social groups that consist of more
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than one male and one female tending offspring together after mating takes
place, or even participating jointly in courtship before mating takes place.
Same-sex sexuality is also evident in many species. In more than 300
species of vertebrates, same-sex sexuality has been documented in the pri-
mary peer-reviewed scientific literature as a natural component of the social
system (Bagemihl, 1999). Examples include species of reptiles like lizards,
birds like the pukeko of New Zealand and European oystercatcher, and
mammals like giraffes, elephants, dolphins, whales, sheep, monkeys, and
one of our closest relatives, the bonobo chimpanzee.
For some biologists, this cornucopia of diversity in gender expression
and sexuality severely strains Darwin’s sexual selection theory. At the same
time, the last 50 years have witnessed a great expansion of Darwin’s sexual
selection narrative that was originally focused rather narrowly on second-
ary sexual characters like peacock tails and deer antlers. Many, perhaps
even most, evolutionary biologists do not feel that the accumulation of
counterexamples and exceptions has risen to the level of requiring a major
overhaul of sexual selection theory. Others argue that, just as the fossil re-
cord undermined the theory that each species was individually created and
unchanging, these “exceptions” cannot be reconciled with current theory.
It is not the role of this report to resolve that controversy but merely to
use it as an example of the more universal process whereby observation,
experimentation, and the building and testing of models and hypotheses are
intimately affected by one’s initial theoretical viewpoint and the evolution
of that theoretical viewpoint in response to ongoing research.
Diversity in Context
Diversity at the molecular, functional, and organismal levels is multi-
plied at the environmental level, where groups of species co-inhabit count-
less overlapping ecosystems. This is the context in which evolution plays
out, where all the different kinds of variation at the genetic level provide, or
fail to provide, a selective advantage and where external changes in an envi-
ronment eventually lead to the adaptation, migration, or extinction of local
species. The field of ecology has a long history of theoretical approaches
to the understanding and prediction of what governs species diversity in
different environments, the role of species diversity in ecosystem stability,
and the impact of environmental change.
What Governs the Assembly of Communities?
What is it that determines how many and which species will form an
ecosystem? How much of the resulting community is due to chance, to his-
tory, or to underlying principles of energy and resource availability? The
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greater our ability to identify underlying governing principles, the better the
predictions of the effects of change. According to the competitive exclusion
principle, two or more species that are identical in their use of a limiting
resource (such as space or food) cannot coexist indefinitely, and only one
of the populations will survive competition; if one is competitively superior,
exclusion of the others proceeds all the more quickly. Many mathematically
formulated hypotheses have been proposed, and tested to various extents,
to explain assemblages or communities of coexisting species. The simplest
is “niche partitioning,” whereby competing species do not fully overlap
in resource use, each having a “refuge” resource of which it is the sole or
competitively superior consumer. Any textbook of ecology describes ex-
amples that conform to this prediction. Such patterns are ascribable both
to evolutionary responses of species to each other and to purely ecological
processes of assembly, wherein members of a species pool colonize a loca-
tion and either form a stable population or not, depending on whether or
not they “fit.”
Resource partitioning among species is not always evident, especially
among organisms such as plankton and terrestrial plants. Among the major
factors proposed to maintain diversity are predation and disturbance. A
panoply of specialized predators (or parasites), each specific to a different
prey species, may hold each prey species at a low enough density to enable
other species to persist. For instance, specialized consumers of seeds or
seedlings may contribute to maintenance of tree species diversity in forests
(Janzen, 1970; Connell, 1971). More generalized predators may likewise
maintain diversity by preventing competitively dominant prey species from
excluding others, although prey species that are less able to escape preda-
tion may be eliminated. Likewise, physical disturbances may open sites for
colonization, and species capable of high dispersal (or which lie in wait, as
do buried seeds) may persist if they can reproduce before they are excluded
by dominant competitors. Such “fugitive” species often characterize early
stages in ecological succession. This idea underlies a number of models of
patch dynamics, including lottery models in which ecologically equivalent
species persist almost indefinitely if enough gaps open at random in a suf-
ficiently large landscape.
Lottery models mark a shift in ecological thinking from equilibrium to
nonequlibrium models, the most renowned of which may be MacArthur
and Wilson’s (1967) model of island biogeography, in which the number
of ecologically equivalent species on an island is set by rates of distance-
dependent colonization and area-dependent extinction. This is the simplest
explanation for the dependence of diversity on area, one of the most abun-
dantly documented of ecological patterns, and postulates that the diversity
in a local area (e.g., an island) is not determined solely by local interac-
tions but also by the species diversity and dynamics of a larger region that
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feeds local diversity by immigration. Ecologists have increasingly accepted
that this principle holds for local assemblages in continental sites as well,
so landscape-level processes and regional species diversity strongly affect
diversity and dynamics at a local level (Ricklefs and Schluter, 1993).
MacArthur and Wilson’s model was extended, moreover, to continental
biotas and to evolutionary time by Rosenzweig (1975), who modeled spe-
cies diversity as a consequence of rates of speciation and extinction. Hub-
bell (2001) has developed this approach to its fullest extent in his “neutral
theory of biodiversity,” in which the population genetic theory of genetic
drift is applied to ecologically equivalent species. Although Hubbell does
not deny that species often partition resources and are differentially resis-
tant to predation and disease, his model shows that these processes may not
need to be invoked to explain the patterns of diversity in many communi-
ties, such as abundance distributions of tropical forest trees.
Why Are Some Communities More Diverse Than Others?
Community ecologists have long felt that a theory of species diversity
in communities should be able to explain variation in the number of coex-
isting species among assemblages in different environments and different
parts of the world. The challenge may be epitomized by the latitudinal
gradient in species diversity: In most higher taxa of plants and animals,
diversity is highest in tropical regions and declines toward both poles. On
land, diversity declines from warm, wet environments (such as those that
harbor tropical wet forest) toward colder high altitudes and toward more
arid regions.
Traditional theory assumed both ecological and evolutionary equilib-
rium: It would not do to say that cold regions have fewer species because
they pose special adaptive challenges, since that simply shifts the question
to why cold-adapted clades should not have diversified as much as warm-
adapted clades have. As many as 100 hypotheses for these patterns have
been distinguished (Willig et al., 2003). Many ecological explanations
suggested either that plant communities in warm, wet climates have higher
productivity, and that this would support more species, or that tropical
regions experience less variable climate, so that more specialized species
could evolve and coexist by finely dividing resources among them. How-
ever, tropical regions are not more climatically stable (they are often more
variable in rainfall than temperate regions), and there is little or no evidence
that tropical species are more specialized; for example, herbivorous insects
in tropical wet forest appear to be no more host specific than in temperate-
zone forests (Novotny et al., 2006). The primary productivity of tropical
wet forests may actually be lower than that of high-latitude forests (Huston,
1994), and although high productivity might support higher population
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
densities of animal species and therefore reduce their extinction rate, it is
hard to see how it would sustain higher plant diversity. In fact, whether spe-
cies diversity of plants increases monotonically with productivity or peaks
at intermediate productivity is a subject of some controversy (Huston,
1994; Gillman and Wright, 2006).
In contrast, nonequilibrium explanations of the latitudinal diversity
gradient, advanced in various forms for decades (e.g., Fischer, 1960), are
gaining favor. One class of hypotheses holds that speciation rates are higher
in tropical regions. The fossil record of bivalves (Jablonski et al., 2006)
and of foraminifera and other planktonic organisms (Buzas et al., 2002;
Allen and Gillooly, 2006) supports this hypothesis; in fact, bivalve taxa
have originated mostly in the tropics and expanded toward the poles. Why,
then, should speciation rates have a latitudinal bias? One possibility is that
terrestrial tropical species, living in more constant temperatures, are physi-
ologically intolerant of very different temperatures and are less capable of
surviving the temperature stress they would experience in dispersing over
mountain ranges (Janzen, 1967). Few data bear on this hypothesis, but those
few largely support it (Ghalambor et al., 2006). It has also been suggested
that high temperature increases rates of mutation and that this heightens
evolutionary rates in general and speciation rates in particular (Allen et al.,
2006; Gillman and Wright, 2006). A reported correlation between rates
of molecular evolution and speciation (Webster et al., 2003) may support
this hypothesis (which parts from the traditional supposition of population
geneticists that genetic variation is so plentiful that phenotypic evolution is
seldom limited by the rate of origin of adaptive mutations).
A more deeply historical view, rapidly gaining adherents, is that the
tropics have more species because most clades originated in tropical en-
vironments and have remained mostly restricted to them because of the
several factors that cause “niche conservatism” (Brown and Lomolino,
1998; Ricklefs, 2004). Until about 30 million years ago, tropical climates
embraced a far greater area than they do now; in fact, the diversity of tree
species in tropical, temperate, and boreal biomes is correlated with the area
typified by those climates during the geological time (Eocene to Miocene)
when most clades evolved (Fine and Ree, 2006). This “tropical conserva-
tism hypothesis” (Wiens and Donoghue, 2004) builds on the strong correla-
tion between species richness and geographic area and articulates in modern
terms the older hypothesis that there has been more time for diversification
in tropical regions (Stebbins, 1974). Plant genera that are distributed across
continents have highly correlated latitudinal distributions (Ricklefs and
Latham, 1992), exemplifying the long-sustained niche conservatism that is
central to this hypothesis. A phylogenetic analysis showed that hylid frogs
originated in the tropics, spread only recently into temperate regions, and
display a strong correlation between the species richness of a region and
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
when that region was colonized (Wiens et al., 2006). An almost inescap-
able conclusion is that patterns of species diversity can be understood best
by taking into account evolutionary processes over very long periods of
geological time.
There is, perhaps, a profound lesson in this brief summary of efforts
to develop and test general theories explaining patterns of species diversity.
Many models and computational approaches have been brought to bear on
understanding the complex relationships linking a community of species to
one another and their physical environment. It now appears that at least
part—perhaps a large part—of the explanation lies in history. The increas-
ing availability of genomic sequences and refinement of phylogenetic theory
will contribute to the validation of this theory, but if the role of historical
chance is significant, there are both practical and philosophical implica-
tions. If biodiversity depends on evolutionary processes acting on the avail-
able genetic reservoir over geological time scales, the loss of species due to
rapid, human-caused environmental change has profound consequences on
the stock of genetic possibilities for the future. Philosophically, if biodiver-
sity is largely the consequence of natural selection acting on random genetic
events in specific communities and environments over very long time peri-
ods, the search for underlying, quantifiable, predictable order in the origin,
maintenance, and loss of species is made vastly more difficult.
Loss of Diversity
A population or species becomes extinct when its last member dies.
Most ecological analyses of extinction follow either a “small population”
paradigm or a “declining population” paradigm (Caughley, 1994). The
former focuses on risks of extinction faced by small populations even in
favorable environments, owing to stochastic fluctuations (Lande et al.,
2003). In addition, some local populations (“sink” populations) cannot
maintain a positive rate of increase without immigration from other popu-
lations and dwindle if immigration is curtailed. In the declining population
paradigm, populations are driven to low numbers by deterministic forces,
including abiotic environmental changes (in climate, for example), changes
in landscape (especially habitat loss), and changes in the biotic environ-
ment. Most extinctions of entire species probably are attributable to these
kinds of causes.
Even aside from “mass extinction” events such as the K/T extinction (in
which the dinosaurs perished) that has been attributed to a bolide impact,
“background” extinctions have occurred throughout evolutionary history
and have befallen far more than 99 percent of the species that have ever ex-
isted. Clearly a species is a transient thing in this statistical sense. Remark-
ably little is known about the causes of these extinctions, although certain
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species characteristics, such as broad geographic range, ecological breadth,
and high dispersal capability tend to be correlated with longer persistence
times (Jablonski, 1995). Still, the ecological factors that cause extinction,
and the organism-level or species-level traits that determine survival versus
extinction, are little known. Even the factors that limit geographic ranges
along environmental gradients, where local populations cannot persist,
are understood for very few species (Parmesan et al., 2005). Some of the
most immediate current threats to populations and species, however, are
anthropogenic and are fairly obvious: overexploitation (especially of large
vertebrates and marine resource species) and habitat destruction. Much of
conservation biology focuses on understanding how species can be saved in
the face of these threats. Models of population dynamics and of dispersal
among subpopulations in increasingly patchy landscapes are important
tools in conservation.
Extinct species are those that have not adapted to whatever envi-
ronmental changes befell them. The population genetic theory of micro-
evolution should, ideally, enable us to predict population survival versus
extinction, but doing so will require both significant theoretical advances
and far more information than is currently available.
The first question is whether or not the environmental change is one
that would be expected to trigger an adaptive response. This can occur only
if there is a change in the rank order of the fitness of different genotypes.
Some changes, however, reduce population size without altering relative
fitness. If a critical resource such as food or habitat dwindles, individuals
may experience the same resource environment as when it is abundant, so
there may be no change in relative fitness. Williams (1966) described such
species as “running out of niche” but remaining well adapted to that niche
to the bitter end. We need a better understanding of what environmental
changes do not alter the regime of natural selection.
When an environmental change does engender selection for adaptive
change, there begins a race between a demographic process of declining
population size and the evolutionary process of adaptation (Holt and
Gomulkiewicz, 2004). The simplest models of adaptation to changing
environments envisioned selection on a single quantitative character such
as body size, in which the population mean can track a moving optimum,
although lagging behind it, and the population can maintain positive popu-
lation growth if the genetic variance of the character is high enough (Lynch
and Lande, 1993). Since directional selection will exhaust initial genetic
variation, long-continued evolution will then depend on a sufficiently high
rate of mutational input of new genetic variation, which depends on popu-
lation size. More realistic models must take into account the reduction in
population size that results from the lag, the various genetic architectures
that a trait may have, and the realistic expectation that the environmental
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
change may impose selection on multiple traits. Population genetic theory
has shown that adaptation is likely to be slower, the greater the number
of independent characters, or “dimensions” of genetic variation (Wagner,
1988; Orr, 2000), and that genetic correlations among characters may
enhance or retard the rate of evolution, depending on where the new
phenotypic optimum lies, relative to the multidimensional axis of greatest
variation (Lande, 1979; Kirkpatrick and Lofsvold, 1992).
Predicting which species will survive and which will become extinct as a
result of an environmental change is an important and exceedingly difficult
challenge. Consider the global temperature change, already underway, that
inevitably will transpire at a rate that has perhaps never been equaled in
evolutionary history (Parmesan, 2006). What aspects of a species’ environ-
ment will change, what characteristics might, by evolving, provide adap-
tation to these alterations, and what levels of selectable genetic variation
might enable adaptive change in these features are all major unknowns. The
negative impacts on populations are not at all limited to thermal stress; they
are already known to include phenological (seasonal) mismatch between a
species’ life cycle and the phenology of its food supply, critical changes in
its physical environment (e.g., polar bears depend on dwindling ice floes for
hunting seals), and changes in the community of species with which a spe-
cies interacts (Parmesan, 2006). For any particular species, it would be hard
to identify all the characteristics that might be directionally selected, given
such a multiplicity of possible impacts. And there is increasing evidence
that populations may have little or no genetic variation in some ecologi-
cally critical characteristics (Blows and Hoffmann, 2005), such as dessica-
tion resistance in flies (Hoffmann et al., 2003), the capacity of herbivorous
insects to adapt to certain plants (Futuyma et al., 1995), and the ability of
plants to adapt to toxic soils (Bradshaw, 1991). It is perhaps no wonder,
then, that species display niche conservatism (Wiens and Graham, 2005)
and that the response of most species to Pleistocene glacial/interglacial
oscillations was not adaptation to the climatic changes visited upon their
original locations but massive, repeated shifts in geographic range as spe-
cies tracked the climatic “envelope” to which they were already adapted
(Williams et al., 2004).
Because of complex ecological linkages, species do not become extinct
independently, and the extinction of key species can have cascading effects.
For example, overexploitation of fish populations has had devastating ef-
fects on coral reefs, kelp beds, and even the pelagic food web (Scheffer et
al., 2005). Consequently, ecologists are increasingly concerned that the loss
of species diversity may have drastic effects on ecosystem “services” such as
productivity and may result in ecosystem collapse. Preliminary models, as
well as data on the consequences of marine biodiversity loss, give credence
to these fears (see Figure 3-2; Dobson et al., 2006; Worm et al., 2006). The
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ARE THERE STILL NEW LIFE FORMS TO BE DISCOVERED?
FIGURE 3-2 Global loss of species from large marine ecosystems (LMEs).
(A) Trajectories of collapsed fish and invertebrate taxa over the past 50 years
(diamonds, collapses by year; triangles, cumulative collapses). Data are shown for
all (black), species-poor (500 species, red)
LMEs. Regression lines are best-fit power models corrected for temporal autocor-
3-2
relation. (B) Map of all 64 LMEs, color-coded according to their total fish species
richness.
SOURCE: Worm, B. 2006. Impacts of Biodiversity Loss on Ocean Ecosystem Ser-
vices. Science 314:787-790. Reprinted with permission from AAAS.
possibility of devastating ecological effects of human impacts underscores
the need for increasing theoretical and empirical studies of the interplay
between species diversity and ecosystem characteristics.
Extinction is, then, one of the least well-understood phenomena in
ecology and evolutionary history. In evolutionary biology, a deeper under-
standing is required of the causes of niche conservatism, the dimensionality
of genetic variation, the factors that determine variability (the capacity of
characters to vary), and the nature of and linkages between genetic and de-
mographic processes in changing environments. Theoretical and empirical
advances are needed in ecology to address questions about the abiotic and
biotic factors that can extinguish populations and about the linkages among
species and ecosystem processes that might accelerate losses in diversity,
productivity, and ecosystem health.
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THE ROLE OF THEORY IN ADVANCING ST-CENTURY BIOLOGY
CONCLUSION
The diversity of biological systems extends from the molecular to the
global scale and all of the levels are linked. Survival or extinction of a spe-
cies and the stability of an ecosystem may depend on the level of random,
neutral genetic variations that have built up in individual members of vari-
ous species over time and on the balance between the size of those species’
populations and the rapidity of change in their environment. At all levels,
general theories to explain and predict diversity would be a great advance:
from defining the evolutionary relationship of species, to predicting the
function of proteins from gene sequence, to relating the form and functions
of organisms to their genomes, to predicting the stability of ecosystems
from their constituent species. The vastness of the diversity and the impor-
tant, but as yet undefined, role of chance and history in biological systems
make the development of such theories a grand challenge indeed.