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7 The Origin and Radiation of Eucaryotes
Hervй Philippe
95
The inference of the universal Tree of Life has been a major
quest in biology since the publication of the theory of evolution
by Charles Darwin in 1859 (Darwin 1859). The first attempt
was done by Haeckel seven years later (Haeckel 1866).
Yet, although this early phylogeny still appears reasonable,
progress toward the resolution of the universal tree remained
elusive for decades. This was in part because of the lack of rigorous
method (the famous “art” of taxonomy) but was greatly
resolved by the German entomologist Willy Hennig through
the development of the so-called cladistic method (Hennig
1966). Indeed, the main difficulty was the scarcity of morphological
characters (sensu lato, e.g., including ultrastructural or
biochemical). The best example of this difficulty is provided
by the study of prokaryotes. After many years of trials, Stanier
and Van Niel were forced to conclude that “any systematic
attempt to construct a detailed scheme of natural relationships
becomes the purest speculation . . . the ultimate scientific goal
of biological classification cannot be achieved in the case of
bacteria” (Van Niel 1955:5). Similar difficulties, albeit to a lesser
extent, were encountered for the phylogeny of unicellular
eucaryotes (protists; Taylor 1978).
The discovery that molecular data (protein, and later,
DNA sequences) contained information about the history of
the organisms harboring them has revolutionized the field
of phylogeny (Zuckerkandl and Pauling 1965). Until the
1980s, sequencing remained a limiting factor and reduced
the impact of molecular phylogeny. Only the study of ribosomal
RNA (rRNA), first through oligonucleotide catalogs
and then through sequencing, allowed the construction of
the universal Tree of Life (Woese 1987, Woese and Fox
1977). The main achievement was the proposal that prokaryotes
should be divided into two groups, called domains, the
Bacteria (Eubacteria) and the Archaea (Archaebacteria). A
short time later, following the suggestion of Schwartz and
Dayhoff (1978), two groups located the root of the universal
Tree of Life through the use of anciently duplicated genes
[i.e., elongation factors (Iwabe et al. 1989) and ATPases
(Gogarten et al. 1989)]. The root fell within the bacterial
branch, making Archaea and Eucarya sister groups, rendering
the prokaryotes paraphyletic. Quite surprising, the quest
for the universal Tree of Life, which has been very elusive
for more than a century, was considered as generally solved
thanks to the molecular phylogenetic studies of the 1980s.
In 1990, a rooted universal tree was published (Woese et al.
1990), and since then it has generally been used as the reference
tree in textbooks and review papers.
The fact that scientists consider this question as fairly
solved is very peculiar. Indeed, microbiologists have shown
that the majority of biochemical, physiological, or morphological
characters each tell a different story about the relationships
among prokaryotes (Van Niel 1955). This is to be
expected for organisms that evolved over billions of years,
given it is also true for organisms that diversified much more
recently (e.g., mammals, birds, or angiosperms). The use of
molecular data clearly allowed systematists to increase the
number of informative characters, but not to avoid the in96
The Origin and Radiation of Life on Earth
herent difficulty of inferring ancient events. The first molecular
phylogenies, which are often quoted for showing the efficiency
of the method, contain serious and indisputable
errors. I will discuss only the most famous example: the
phylogeny of eucaryotes based on cytochrome c (Fitch and
Margoliash 1967). In this tree, primates emerge at the base
of the mammals, well before the marsupials, and snakes at
the base of amniotes, far from their generally accepted position
(diapsids, represented by turtle and birds). Thus,
despite the known theoretical and practical difficulties of
inferring the universal Tree of Life, a phylogeny based on very
few data (mainly 1000 positions for rRNA) was perceived as
an accurate estimate.
At least three major problems have recently challenged
this universal tree. First, the discovery of many uncultured
organisms through molecular ecology techniques has generated
many new phyla, especially in prokaryotes (see Pace,
ch. 5 in this vol.). Second, lateral gene transfer (LGT) between
distantly related organisms has been revealed as a much more
common phenomenon than previously thought (Koonin
et al. 2001). Even if one can demonstrate that tens of genes
share the same historical pattern within Bacteria (Brochier
et al. 2002) and Archaea (Matte-Tailliez et al. 2002), LGT
raises serious questions about our view of prokaryotic evolution
(see Doolittle, ch. 6 in this vol.). Third, the impact of
tree reconstruction artifacts is not negligible, and in this chapter
I focus on this problem. After a brief overview of the Tree
of Life based on rRNA (Woese et al. 1990), I discuss the most
frequent artifacts and provide a brief explanation of their
causes. Then, I will detail the case of the bacterial phylogeny
based on rRNA. This will allow pinpointing the sections of
the current universal Tree of Life that are likely incorrect.
After summarizing recent progress toward their resolution,
I present my personal view of the universal Tree of Life and
its implication for the origin of eucaryotes.
The rRNA Tree
The rRNA tree (fig. 7.1) is so well known that I will only
discuss a few points. The advantages of rRNA as a universal
marker are enormous (Woese 1987): (1) universality, (2)
large size (a few thousand nucleotides), (3) high degree of
conservation, and (4) extremely low probability of being affected
by LGT. These advantages were empirically confirmed
because clades well established through morphological analysis
(e.g., spirochaetes, cyanobacteria, animals, red algae, ciliates)
were recovered with rRNA. Moreover, rRNA phylogenies also
disclosed a number of assemblages that are not expected, based
on previous morphological analysis. For example, an ensemble
containing the morphologically very diverse ciliates,
dinoflagellates, and apicomplexans emerged (Gajadhar et al.
1991). Indeed, when looking for a derived morphological
character that may be shared by these three phyla, the only
one that emerged was the presence of submembranar vesicles,
closely apposed to the plasma membrane and known as alveoli
in ciliates. Some very curious eucaryotic organisms
were unambiguously located within well-known clades
[e.g., Pneumocystis within Fungi (Edman et al. 1988), Dientamoeba
within trichomonads (Silberman et al. 1996a),
Blastocystis within stramenopiles (Silberman et al. 1996)]. Let
me discuss now the phylogenetic pattern related to the early
evolution of eucaryotes.
The location of the root between Bacteria and a clade
containing Archaea and Eucarya, which is based on the analysis
of a few anciently duplicated genes (Brown and Doolittle
1997), has profound implications about the nature of the
“last universal common ancestor” (LUCA). The most parsimonious
interpretation is that LUCA was a prokaryote-like
organism, because a eucaryote-like LUCA implies two major
transitions from eucaryotes to prokaryotes, one to Bacteria,
the other to Archaea. It should nevertheless be noted that,
because of the RNA-world hypothesis, this possibility has
been envisioned (Poole et al. 1999). The RNA-world hypothesis
predicts a biota antecedent to our own that used an RNAlike
molecule for a variety of tasks today performed by RNA,
DNA, and proteins together (Yarus 2002). This hypothesis
is widely accepted as a probable stage in the early evolution
of life. Accordingly, proteins have gradually replaced RNA
as the main biological catalysts. Therefore, the numerous
RNA-based mechanisms of eucaryotes would be remnants
of the RNA world, suggesting that prokaryotes derived from
a eucaryotic-like organism (Poole et al. 1999). According to
the tree in figure 7.1, LUCA was a prokaryote-like organism
and had a circular chromosome with a single origin of replication,
and many genes organized with operons. Yet, contrary
to a frequent belief (e.g., Gupta and Singh 1994, Martin
and Mьller 1998, Slesarev et al. 1998), nothing can be said
about the machinery of replication, transcription, and translation.
It is clear that this machinery is more similar between
Archaea and Eucarya. However, even with a root in the bacterial
branch, the ancestral state can be equally parsimoniously
similar to the bacterial one or to the eucaryotic one. In
both cases, a transition from one type to another is required.
Thus, the similarity between Archaea and Eucarya for the
informational genes cannot be considered as a synapomorphy
supporting the monophyly of this clade.
A second point is that, in the bacterial portion of the tree
(fig. 7.1), the first two lineages to emerge are the Aquificales
and the Thermotogales (Burggraf et al. 1992, Woese 1987).
Because these two phyla mainly contain hyperthermophilic
organisms (e.g., Aquifex and Thermotoga), and because most
of the basal lineages within Archaea are also hyperthemophilic,
the most parsimonious explanation is that LUCA was
a hyperthermophilic organism (Stetter 1996). This implies
that adaptation to life at low temperatures (below 60°C)
occurred many times independently. In particular, in classical
scenarios of eucaryotic origin, the archaeal lineage at the
origin of eucaryotic cells must have become mesophilic.
Moreover, the hyperthermophilic nature of LUCA led to the
The Origin and Radiation of Eucaryotes 97
hypothesis of a hyperthermophilic origin of life, most likely
in hydrothermal ecosystems (Nisbet and Sleep 2001, Pace
1991, Reysenbach and Shock 2002, Russell and Hall 1997,
Stetter 1996, Woese 1987). Although elongation of oligopeptides
(Imai et al. 1999) and synthesis of amino acids (Amend
and Shock 1998) are favored at high temperature, the degradation
of RNA at such temperature argues against a hot
origin of life if one accepts the RNA-world hypothesis (Levy
and Miller 1998, Moulton et al. 2000).
Finally, within eucaryotes, the first three lineages to
emerge (diplomonads, microsporidia, and trichomonads)
are all devoid of mitochondria (Sogin 1991). This seems to
strongly confirm the Archezoa hypothesis (Cavalier-Smith
1987) that these three lineages are primitively devoid of
mitochondria and that the mitochondrial endosymbiosis
from an a-proteobacteria occurred relatively late during
eucaryotic evolution, after the emergence of these three
groups. However, the discovery of genes of mitochondrial
origin (e.g., those encoding cpn60, HSP70, and Val-tRNA
synthetase) in all the amitochondriate organisms in which
they have been looked for (e.g., Entamoeba, Trichomonas,
Nosema, Encephalitozoon, Giardia, Neocallimastix) suggests a
secondary loss of mitochondria (for a review, see Embley and
Hirt 1998). In Entamoeba, trichomonads, and microsporidia,
several such genes have been found, and their products have
been shown to be located in a double-bound organelle
(hydrogenosome and mitosome/crypton; Bui et al. 1996, Mai
et al. 1999, Tovaret al. 1999, Williams et al. 2002). Similarly,
the diplomonad Giardia intestinalis has specialized membranes
with electron transport and membrane-potentialgenerating
functions (Lloyd et al. 2002). This further indicates
that these organisms have lost their mitochondria. Yet,
at least one gene, Val-tRNA synthetase, which was first believed
to be of mitochondrial origin (Hashimoto et al. 1998),
has probably been acquired by LGT from g-proteobacteria
(Gribaldo and Philippe 2002). This is not unexpected because
LGTs are frequent, especially for amitochondriate eucaryotes
(Andersson et al. 2003). Because only a few genes of
mitochondrial origin were found in the genome of a microsporidia
(Encephalitozoon cuniculi; Katinka et al. 2001) and of
a diplomonad (Giardia lamblia; McArthur et al. 2000), it is not
impossible that these genes have also been acquired by LGT
from other eucaryotes (Sogin 1997), and therefore it is not
possible on these grounds to completely reject the hypothesis
that at least some of the amitochondriate eucaryotes
never did harbor a mitochondrion.
Tree Reconstruction Artifacts
The information that is used to infer molecular phylogeny
consists of the mutations that have been fixed in an ancestral
species, which are called substitutions. If, for a given
position, a substitution occurred only once over the phylogenetic
tree under study, then an unambiguous signal would
be provided: a partition of the species into the ones possessing
a given new character state (e.g., a change to A) and the
ones possessing the alternative primitive state (e.g., G) would
EUCARYA
BACTERIA ARCHAEA
Slime molds
High G+C Gram-positives Thermotogales
Proteobacteria
Cyanobacteria
Planctomycetales
Aquificales
Sulfolobales
Thermoproteales
Methanococcales
Archaeoglobales
Methanosarcinales
Halobacteriales
Desulfurococcales
Diplomonads
Flagellates
Fungi
Green plants
Animals
Ciliates
Microsporidia
Trichomonads
Low G+C Gram-positives
Green non-sulfur
Entamoeba
ROOT
Figure 7.1. Universal Tree of
Life based on rRNA and rooted
with anciently duplicated genes,
modified from Stetter (1996).
The thick branches with
boldface names are likely
misplaced by LBA artifact.
98 The Origin and Radiation of Life on Earth
provide support for one node on the phylogeny. If many
characters of this type are available, they will define many
different compatible partitions that will allow inferring the
correct phylogenetic tree. Unfortunately, in real sequences,
such perfect characters with a single substitution are extremely
rare, and almost all base positions have undergone
many more than one substitution. If, for example, a base
position has undergone 25 substitutions across a tree connecting
50 species, the taxon partitions suggested by the
sharing of the various nucleotides will almost certainly be at
odds with the correct phylogeny. This base position, therefore,
has evolved too fast for the phylogeny under study and
will contribute more noise than signal (such a position is said
to be saturated).
In practice, an alignment of homologous sequences contains
a mixture of slow- and fast-evolving positions (the situation
is indeed more complicated because of heterotachy; see
below). If there were no bias, fast-evolving positions will
contribute random noise that will not favor any specific
phylogeny, and the correct phylogeny will be inferred primarily
on the basis of the slow-evolving positions. Unfortunately,
several biases exist that can confound phylogenetic
inference. The easiest biases to understand are those of nucleotide
or amino acid composition. Assume that two lineages
increased the G+C (guanosine + cytosine) content of their
sequences independently. In that case, the noise contributed
by fast-evolving positions will not be random but will favor
the grouping of two G+C-rich lineages (Hasegawa and
Hashimoto 1993, Lockhart et al. 1992). Another very important
bias is the existence of unequal evolutionary rate among
lineages. In the case of four species in which two are slowly
evolving and two are fast evolving, the noise will favor the
grouping of the two slowly evolving lineages because they
share many ancestral characters. As a result, the two fastevolving
species will be grouped together, a phenomenon
called the long-branch attraction (LBA) artifact (Felsenstein
1978).
These problems are known since the beginning of molecular
phylogeny, and many attempts have been made to
develop methods of inference less sensitive to nonrandom
bias (for a review, see Swofford et al. 1996). To deal with the
noise created by fast-evolving positions, it is necessary to have
a model of sequence evolution as realistic as possible in order
to infer the existence of multiple substitutions. Starting
from the very simple model of Jukes and Cantor (1969),
researchers have developed very complex models such as the
general time-reversible model (Waddell and Steel 1997) or
the G model that deals with among-site rate variation (Yang
1996). Other models that are not reversible have been implemented,
particularly to avoid the bias due to nucleotide composition
(Galtier and Gouy 1998). Nevertheless, even the
most complex model is far from biological reality. One of the
most important phenomena that is just beginning to be considered
(Galtier 2001, Huelsenbeck 2002, Penny et al. 2001)
is heterotachy, the variation of evolutionary rate of a given
position over time (i.e., fast in one part of the tree and slow
in another one). Many studies have shown that this phenomenon
is quite common (Galtier 2001, Huelsenbeck
2002, Lockhart et al. 2000, Lopez et al. 1999, Miyamoto
and Fitch 1995, Penny et al. 2001); for example, up to 95%
of the variable positions cytochrome b are heterotachous
for a sample of ~2000 vertebrate sequences (Lopez et al.
2002). Heterotachy can increase the impact of LBA artifacts
when two fast-evolving lineages display a higher number
of variable positions (Germot and Philippe 1999). In fact,
when a distant outgroup is used, the fast-evolving species
and the outgroup have long branches that often attract each
other. This leads to a very simple principle: early-emerging
lineages are often fast-evolving ones misplaced by the LBA
artifact. On the universal tree based on rRNA, all the basal
branches (indicated in bold in fig. 7.1) are thus potentially
erroneous.
The Case of the Bacterial Phylogeny
Based on rRNA
The first two lineages to emerge in eubacterial phylogeny
(Aquificales and Thermotogales) display rather short
branches and for this reason are generally assumed to not be
misplaced because of LBA (Burggraf et al. 1992, Stetter 1996).
We recently reanalyzed the rRNA based phylogeny of Bacteria
using a large data set, 95 species and 1147 positions
(Brochier and Philippe 2002). If one examines the distribution
of the number of substitutions per site (solid bars in
fig. 7.2), it appears that most of the changes are contributed
by fast-evolving positions. More precisely, there are many
slowly evolving positions (e.g., 373 without changes, 154
with a single substitution) and relatively few fast-evolving
positions (e.g., only 154 positions with more than 16 substitutions).
This distribution of the observed substitutions
is expected when the substitution rate is distributed according
to a G law with a low a parameter (0.4 here). However,
the point that is rarely discussed is the relative contributions
of the slowly and fast-evolving positions to tree selection.
Within a parsimony framework, the criterion to select the
best phylogeny is the minimum total number of steps. Yet,
as shown by the shaded bars in figure 7.2, the importance
of slow- and fast-evolving sites is completely the reverse of
the distribution of these sites. In fact, the slowly evolving sites
(fewer than five changes) contribute very few of the total
number of changes (~900 steps), whereas the fast-evolving
ones are the major contributors (~3800 steps). As a result,
the fast-evolving sites are the most influent in the selection
of the tree topology, whereas the slowly evolving ones contain
the most reliable signal.
To investigate this fundamental issue of molecular phylogeny,
we used the Slow-Fast (SF) method (Brinkmann and
Philippe 1999), which evaluates the evolutionary rate of
positions in terms of the sum of the number of steps in preThe
Origin and Radiation of Eucaryotes 99
defined monophyletic groups (here, the bacterial phyla) and
thus allows study of the phylogenetic relationships among
these groups. Interestingly, the first bacteria to emerge in the
tree based on the most reliable positions (fewer than five substitutions)
are, with a reasonable statistical support, Planctomycetes
(Brochier and Philippe 2002). This phylum is a major
division of Bacteria, whose members share several original features
such as the lack of peptidoglycan in their cell walls or a
budding mode of reproduction (Fuerst 1995). The most intriguing
feature is the existence of a single or double membrane
around the bacterial chromosome in Gemmata and Pirellula
species, which has been compared with the eucaryotic nucleus
(Fuerst 1995). Yet, evolutionary homology with the eucaryotic
nucleus has not been proved. Despite these unique characteristics,
this group remains little studied, although it was
recently implied in anaerobic ammonia oxidation (Strous et al.
1999). If the early emergence of Planctomycetales were confirmed
by genomic data (Jenkins et al. 2002), the early emergence
of the most “eucaryote-like” bacteria at the base of the
tree would challenge the current view on the nature of LUCA.
In contrast, the hyperthermophilic bacteria robustly emerged
late in the tree based on slowly evolving positions (Brochier
and Philippe 2002). This is in agreement with the growing
evidence that they secondarily adapted to high temperature
(Aravind et al. 1998, Forterre et al. 2000, Galtier et al. 1999,
Nelson et al. 1999), which seriously weakened the hypothesis
that LUCA was hyperthermophile. Finally, in this tree,
hyperthermophylic bacteria show a very high evolutionary
rate, which was masked in standard analysis by the fast-evolving
positions (Bromham et al. 2000, Philippe and Laurent
1998, Philippe et al. 1994). Therefore, contrary to recent
claims (Dawson and Pace 2002), apparently slowly evolving
lineages (e.g., Aquificales and Thermotogales; fig. 7.1) can
be misplaced by the LBA artifact.
Recent Advances into the Eucaryotic Phylogeny
The impact of LBA artifact is not limited to the bacterial
phylogeny but applies to all the branches indicated in bold
in figure 7.1 (Brinkmann and Philippe 1999, Philippe et al.
2000b). This is especially dramatic in the case of eucaryotes,
for which more than 10 early-branching lineages could be
artificially located (Philippe and Adoutte 1998). Indeed, the
eucaryotic tree was previously divided into two parts: (1) the
so-called crown, in which the branching order between phyla
was very poorly resolved, which is interpreted as the result
of an adaptive radiation (Knoll 1992); and (2) the base, which
contains “primitive” eucaryotes, especially the amitochondriate
ones. We have proposed that all the lineages of the classical
base are very likely misplaced and in fact belong to the
crown, what we called the “big bang” hypothesis (Philippe
and Adoutte 1998).
As recently reviewed (Philippe et al. 2000a), many lines
of evidence are in agreement with the hypothesis that the
eucaryotes branching early in the rRNA are misplaced because
of LBA. First, the evolutionary rates of different eucaryotic
phyla have been estimated for several genes, and it has
been shown that the faster a phylum evolves, the earlier it
emerges (e.g., euglenozoans for rRNA and ciliates for actin;
Moreira et al. 2002, Philippe and Adoutte 1998). Second, the
addition of new sequences in phylogenetic analyses, which
is known to reduce the impact of the LBA artifact (Hendy
and Penny 1989), results in an upward movement of the
early-branching species in the tree (Moreira et al. 1999).
Third, the use of more realistic models of sequence evolution,
also known to attenuate the impact of LBA (Huelsenbeck
1998), leads, in rRNA trees, to a later emergence of
euglenozoans (Peyretaillade et al. 1998, Tourasse and Gouy
1998), microsporidia (Peyretaillade et al. 1998, Van de Peer
et al. 2000), Physarum (Peyretaillade et al. 1998), and trichomonads
and heteroloboseans (Silberman et al. 1999). In
fact, the most recent analyses that used a G law to model the
rate heterogeneity among sequence sites showed that the
“classical” tree cannot be statistically differentiated from
the ones that locate all the lineages within the crown (Philippe
and Germot 2000, Simpson et al. 2002). Fourth, several
characteristics [highly heterogeneous rRNA length, large
number of unique substitutions, attraction by artificial random
sequences, and high Relative Apparent Synapomorphy
Analysis (RASA) taxon variance] suggested that the basal lineages
of the rRNA tree are fast evolving (Stiller and Hall
1999). Fifth, if a basal emergence in the rRNA tree is correct,
one expects that the slowly evolving positions, which
contain most of the ancient phylogenetic information, will
provide strong support for the basal branching. Yet, as for
Bacteria, when using the S-F method, the basal taxa in the
standard rRNA tree do not emerge early when only slowevolving
positions are used, but display very long branches
(Philippe et al. 2000b). Sixth, phylogenies based on protein
sequences generally suggest a late emergence for the taxa
0
200
400
0 1 2 3 4 5
[6,10]
[11,15]
[16,20]
[21,25]
[26,50]
0
200
400
600
800
1000
1200
1400
1600
#positions
#changes
#changes per position
Figure 7.2. Distribution of the number of substitutions per
position for the rRNA of 95 prokaryotic species (solid bars). The
number of substitutions brought by each class of positions is
indicated by the shaded bars.
100 The Origin and Radiation of Life on Earth
emerging early in the rRNA tree. A clear example is provided
by microsporidia, which are located very close to the base of
eucaryotes in rRNA tree (fig. 7.1) but are indeed highly derived
fungi (for review, see Keeling and Fast 2002).
The phylogenetic relationships within the crown of the
eucaryotic rRNA tree are known to be difficult quite to resolve,
possibly because of a rapid diversification (Knoll 1992,
Sogin 1991). Indeed, eucaryotic rRNA phylogenies inferred
with a comprehensive taxonomic sampling and a G law model
are very poorly resolved, the bootstrap values for the nodes
connecting the major phyla being almost all below 50%
(Brugerolle et al. 2002, Cavalier-Smith 2002, Simpson et al.
2002). Because many more lineages than first acknowledged
(the artifactually early-branching phyla and the newly discovered,
uncultured groups; Dawson and Pace 2002, Lopez-
Garcia et al. 2001) belong to the already poorly resolved
crown, The complete resolution of the eucaryotic phylogeny
constitutes a great challenge.
Two quite different approaches can be used, which we
have called statistician and Hennigian (Philippe and Laurent
1998). The statistician approach consists in the analysis of
very large data sets, with tree reconstruction methods as refined
as possible. The underlying idea is that the resolving
power will increase and that the biases brought by different
genes will be different and thus will be minimized. The
Hennigian approach consists in the use of very slowly evolving
characters, such as insertion/deletion or gene fusion
events [also called rare genomic events (Rokas and Holland
2000)]. The assumption is that these characters are less homoplastic,
and therefore the most simple tree reconstruction
method (i.e., maximum parsimony) will provide a good estimate
of the good phylogeny. These two approaches have
been applied to the case of eucaryotes, with both more and
less success.
In the statistician approach, because of the limited
amount of available sequences, one has to choose between
many genes/few species (13/12; Moreira et al. 2000) and few
genes/many species (4/60; Baldauf et al. 2000). As expected
(Graybeal 1998, Lecointre et al. 1993, 1994), the first approach
provided a fully resolved tree (Moreira et al. 2000)
but is very sensitive to LBA, whereas the second is not severely
affected by LBA but is very poorly resolved. For example,
the Euglenozoa and the Apicomplexa emerge strongly
but artificially at the base when few species are used (Moreira
et al. 2000). On the contrary, they belong to a large group of
protists (including also stramenopiles and heteroloboseans)
when many species are used (Baldauf et al. 2000), but with
a weak support (bootstrap value around 50%). In contrast,
red algae and green plants strongly group together in the
clade Plantae in the first analysis but very weakly (bootstrap
value below 50%) in the second one. The monophyly of
Plantae found with nuclear genes strongly suggests the hypothesis
of a unique primary endosymbiosis of a cyanobacteria
at the origin of chloroplast, as already proposed by
plastid and mitochondrial data (Palmer 2000).
We recently tried to make a compromise between these
two extremes in order to increase simultaneously both accuracy
and resolving power (Bapteste et al. 2002). We used
123 genes for 30 species, representing about 25,000 unambiguously
aligned positions. The corresponding phylogeny
is shown in figure 7.3. Not surprisingly, the results are in
between the previous ones (with 12 and 60 species, respectively;
Baldauf et al. 2000, Moreira et al. 2000), which is illustrated
by three examples. (1) One fast-evolving species, a
parasitic amitochondriate amoeba Entamoeba histolytica, is
strongly grouped with a free-living amitochondriate amoeba
(Mastigamoeba), this clade being a sister group of Mycetozoa,
represented here by Dictyostelium. The monophyly of
this large clade of amoeboid organisms contrasts with their
pronounced polyphyly on classical rRNA trees (Sogin 1991).
The statistician approach has provided convincing evidence
for a difficult phylogenetic question. (2) The early emergence
of diplomonads and Euglenozoa (fig. 7.3) is very likely due
to LBA. In fact, when we added microsporidia to our data
set, we found very strong support for their early emergence
(H. Brinkman, M. van der Giezen, T. M. Embley, and H.
Philippe, unpubl. obs.). However, the evidence for considering
microsporidia as derived fungi is very strong (Keeling
and Fast 2002), but many of the genes used evolved very fast
in this group, thus generating LBA. The number of species
used in our study is thus insufficient to eliminate LBA, all
the more so because a very distant outgroup (Archaea) is
used. It is likely that the use of genes of mitochondrial origin,
with a very close a-proteobacterial outgroup, will be a
good way to avoid this problem (Philippe 2000). (3) Several
nodes (e.g., the grouping of stramenopiles and alveolates) are
weakly supported. This indicates that the number of genes
used is still insufficient, and/or, as proposed by the big bang
hypothesis, the time between speciation events is too short
to discriminate branching orders. In summary, the statistician
approach has allowed, and will allow, progress in the
resolution of the phylogeny of eucaryotes. However, because
it is very sensitive to the inconsistency of the methods, it is
of prime importance to improve the tree reconstruction
methods, especially by taking into account heterotachy
(Galtier 2001, Huelsenbeck 2002, Penny et al. 2001).
In the Hennigian approach, very few characters useful for
resolving the phylogeny of eucaryotes have been discovered.
First, a few insertion/deletions have been proposed. In particular,
an insertion of about 12 amino acids in the elongation
factor EF-1a is shared only by animals and fungi (Baldauf
and Palmer 1993), and also by microsporidia (Van de Peer
et al. 2000), suggesting the monophyly of this clade, called
Opisthokonta. However, the same insertion is also present
in some green algae but not in land plants (H. Philippe,
unpubl. obs.). Similarly, two small indels of one amino acid
in enolase are shared by trichomonads and prokaryotes,
suggesting that trichomonads constitute the first lineage to
emerge within eucaryotes (Keeling and Palmer 2000). However,
the same indels are also present in several independent
The Origin and Radiation of Eucaryotes 101
lineages (e.g., in several members of Archaea and in a few of
Bacteria; Bapteste and Philippe 2002, Hannaert et al. 2000),
casting doubts on the use of this character as a phylogenetic
marker. In fact we have found in enolase, IMPDH, and Val
tRNA synthetase several large indels that contradict each
other and also the phylogeny inferred from the very same
gene containing the indel (Bapteste and Philippe 2002,
Gribaldo and Philippe 2002). This indicates that indels are
not always very good characters, because they are prone to
convergence and that they are very sensitive to LGT (with or
without recombination; see Bapteste and Philippe 2002). It
is thus very hazardous to base phylogenetic inference on a
single indel. Finally, an insertion in a very highly conserved
gene (ubiquitin) for which a comprehensive taxonomic sampling
is available provide convincing evidence for the sistergroup
relationship of Cercozoa and Foraminifera (Archibald
et al. 2003).
Other rare genomic events are more promising. The first
case is the nonhomologous replacement of the mitochondrial
RNA polymerase by the T3/T7-like one. In all the mitochondriate
eucaryotes, except the jakobids (e.g., Reclinomonas
americana), the original bacterial polymerase encoded in the
mitochondria has been replaced by T3/T7 polymerase
(Cermakian et al. 1996, Lang et al. 1997). This replacement
suggests that jakobids are the first eucaryotic lineage to
emerge. However, in the plastid of land plants, the bacterial
and the T3/T7-like RNA polymerases are known to have
coexisted for several hundred of millions years (Gray and
Lang 1998), and the bacterial form has been lost in one parasitic
nonphotosynthetic plant (Wolfe et al. 1992). It is therefore
quite possible that different lineage sorting has affected
the RNA polymerase of mitochondria. Nevertheless, jakobids
are good candidates for being the first emerging eucaryotes.
A second case of a rare genomic event is the fusion of the
dihydrofolate reductase and thymidylate synthase genes.
These two genes are separated in all the bacteria and all the
opistokonts, but are fused, when present, in the other eucaryotes
(Philippe et al. 2000b, Stechmann and Cavalier-
Smith 2002). This is a strong argument to locate the root of
the eucaryotic tree between opistikonts and all the other
eucaryotes. Yet, it should be noted that these genes have been
lost in several lineages (e.g., Entamoeba and Giardia) and replaced
by nonhomologous genes in some others (e.g.,
Dictyostelium; Dynes and Firtel 1989). This gene fusion suggests
that opistokonts are also very good candidates for being
the first emerging eucaryotes. In summary, the use of rare
genomic events has provided some interesting hypotheses
for rooting the eucaryotic tree. If such a root is reliably inferred,
it will be possible to construct eucaryotic phylogenies
without the need of a non-eucaryotic outgroups, thus seriously
reducing the importance of LBA.
As expected from the results based on rRNA, the eucaryotic
phylogeny turned to be a very difficult question.
The very large amount of new molecular data has recently
allowed resolving several nodes (fig. 7.4). The resolution
will continue to be improved thanks to the sequencing of
Figure 7.3. Phylogenetic tree
based on 123 genes, redrawn
from Bapteste et al. (2000). The
tree was inferred by a separate
maximum likelihood analysis,
taking into account among-sites
rate variation (JTT + G model).
For reducing computational
time, several nodes, which were
recovered through preliminary
analyses, were constrained
(indicated by asterisks). The
bootstrap values were obtained
by bootstrapping the 123 genes,
a modification of the RELL
method (Kishino et al. 1990).
0.1
*
*
*
62
*
*
*
*
*
*
*
*
*
*
*
98
97
93
68
96
100
Archaea
Nucleomorph of
Guillardia theta
Diplomonads
Trypanosoma
Leishmania
Stramenopiles
Ciliates
Sarcocystidae
Plasmodium falciparum
Red algae
Green algae
Arabidopsis thaliana
Monocots
Basidiomycetes
Schizosaccharomyces pombe
Neurospora crassa
Candida albicans
Saccharomyces cerevisiae
Mammals
Caenorhabditis elegans
Drosophila melanogaster
Dictyostelium discoideum
Entamoeba histolytica
Mastigamoeba balamuthi
Conosa
Animals
Fungi
Alveolates
Kinetoplastids
Plants
102 The Origin and Radiation of Life on Earth
complete genomes and of a large sample of cDNAs (http://
megasun.bch.umontreal.ca/pepdb/pep_main.html) for
many protists.
A Personal Point of View on the Universal
Tree of Life
In conclusion, several basal branches of the universal Tree of
Life based on rRNA (indicated in bold in fig. 7.1), which may
be misplaced because of LBA artifact, have been relocated
upper in the tree (e.g., hyperthermophilic bacteria and
microsporidia). For some others (e.g., diplomonads and the
root of the Tree of Life), it appeared that their high evolutionary
rates for numerous genes prevented their reliable placement,
because current tree reconstruction methods are still
sensitive to LBA. The support in favor of their early emergence
has thus been weakened. Nevertheless, the global picture provided
by rRNA remains correct, and one can still consider
rRNA as one of the best phylogenetic markers, despite some
weaknesses. The progresses to fix the potential errors highlighted
in figure 7.1 are summarized in figure 7.4. It should
be noted that several nodes are supported with little support
(e.g., a single gene) and reflect my working hypothesis rather
than a robust and widely accepted consensus.
I would like to emphasize two general issues that are especially
relevant to the origin and evolution of eucaryotes. The
first is that we are strongly influenced by the Aristotelian view
that simple organisms are primitive organisms (the famous
scala natura). It is for this reason that we easily believe that
prokaryotes precede eucaryotes and that amitochondriate
eucaryotes predate the mitochondrial endosymbiosis. Yet, the
study of eucaryotic phylogeny (Embley and Hirt 1998, Philippe
et al. 2000a) has shown that simplification is a major evolutionary
trend. As brilliantly argued more than 50 years ago
(Lwoff 1943), we have a major psychological reluctance to
accept the importance of simplification, because we associate
evolution, progress, and complexity (Gould 1996). The second
is that molecular phylogeneticists, because of the constraint
of having to study extant organisms, often forget extinct
organisms. In fact, extinction is a very common phenomenon,
and one should take extinct organisms into account for every
evolutionary scenario. Even if a lot of speculations are required
to infer the characteristics of past microorganisms, the numerous
extinct organisms quite different from extant eucaryotes
and prokaryotes should not be ignored (e.g., the organisms
thriving during the hypothetical RNA world). As a result, the
absence of early-branching eucaryotes proposed by the “big
bang” hypothesis does not imply that complex eucaryotes
suddenly evolved from scratch. As shown in figure 7.4, this
can just be due to the extinction of all the intermediary forms,
as is well known for mammals and birds.
Finally, as explained in detail elsewhere (Forterre and
Philippe 1999), we favor the hypothesis that LUCA was an
eucaryote-like organism that would have evolved through
simplification into a prokaryote-like form. The main argument
is that many RNA-based mechanisms inherited from
the RNA world have been replaced by protein-based mechanisms
in prokaryotes (Poole et al. 1999). Nevertheless, this
argument is not decisive, because RNA-based mechanisms
can appear in prokaryotes (e.g., transfer-messenger RNA in
Bacteria).
Acknowledgments
This chapter is dedicated to the memory of Andrй Adoutte
(1947–2002), who was my Ph.D. supervisor and, as early as
1987, was concerned by the limitation of tree reconstruction
methods. Most of the work discussed in this chapter was due to
his brilliant intuitions. I also dedicate this chapter to the
memory of Stephen J. Gould (1941–2002), whose books
motivated me to move from mathematics to evolutionary
biology. I thank Simonetta Gribaldo for careful reading of the
manuscript and Joel Cracraft for many helpful suggestions.
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