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Pathogen Population Genetics
and
Breeding for Disease Resistance

Applying
Magnaporthe grisea population analyses for durable
rice blast resistance
Robert S. Zeigler
Department of Plant
Pathology, Kansas State University, Manhattan, KS 66506-5502.
rzeigler@ksu.edu
Fernando J. Correa
Rice Project, Centro Internacional
de Agricultura Tropical (CIAT), AA 6713, Cali, Colombia. f.correa@cgiar.org
The blast disease of rice,
caused by Pyricularia grisea Sacc., the anamorph of Magnaporthe
grisea (Hebert) Barr, is the most widespread and
damaging disease of cultivated rice, prevalent in both the
tropics and temperate zones (22). The fungus may attack all
above-ground parts of the rice plant, but typically leaf and
panicle lesions are the most serious (Figures
1 and 2). For many
years research focussed on the identification of pathogenic
races and incorporating corresponding resistance genes into
commercial varieties (17). However, durable resistance to
the pathogen has eluded breeders and pathologists despite
decades of concentrated breeding efforts and research.
Typically, a variety released as blast-resistant shows signs
of susceptibility after only very few seasons of cultivation
in blast-prone environments (Figure 3).
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| Figure 1 |
Figure 2 |
Figure 3 |
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The search for the
explanation of the rapid "breakdown" of blast
resistance sparked one of the most contentious debates in
modern plant pathology. The debate centered around the
origin of the diversity of pathotypes, or races, detected in
the field. At one extreme the pathogen was described as
hypervariable, with the capacity to generate a seemingly
endless array of new pathotypes from a single asexual spore
(16). Thus, varieties evaluated for resistance to a single
pathotype would be exposed to an infinite range of
pathogenic variation once released into the field. A variety
stood little chance of surviving under the onslaught of such
variation, and the reasonable conclusion was that
race-specific resistance to the pathogen could not yield
durable resistance. This led to a major effort to develop
race non-specific, or partial, resistance (1,13). At the
other extreme, the pathogen was described as completely
stable, with no new races generated even after years of
culture in the laboratory (9,10). It is noteworthy that the
proponents of hypervariability worked with isolates from
Asia (the center of origin of rice), recently recovered from
the field, while proponents of stability worked largely with
isolates from the US (where rice was introduced only a few
hundred years earlier) and that had been in culture for a
number of years.
Somewhere in the middle
emerged the proposition that the key point for breeding was
being overlooked. Blast populations are very diverse,
regardless of the mechanisms (genetic or otherwise) that
generated the diversity, and the design of most breeding
programs is such that a blast-resistant variety is simply
not exposed to pathogenic variants that it would likely
encounter under production conditions (2). In other words,
real-world rice varieties would be exposed to populations of
the pathogen, not just one or two races. To address this
limitation, a breeding program was established in a rice
blast hot-spot region of Eastern Colombia (Santa Rosa) in
which segregating progeny of crosses were evaluated under
very high natural disease pressure during their entire
vegetative and reproductive phases and in every generation
from the F2 to the F6, or later (6) (Figure
4). This yielded
durably resistant varieties (5), with one (Oryzica Llanos 5)
remaining resistant in eastern Colombia for the past 10
years of commercial cultivation, and showing high levels of
resistance in trials around the world (R. Zeigler, personal
observations). This success notwithstanding, failure to
understand how such resistance was achieved made it
difficult to replicate in other areas, particularly in those
areas where disease pressure was less reliable.
The discovery of a neutral
repetitive DNA sequence, MGR (for Magnaporthe grisea
repeat) in the rice blast pathogen in the late
1980s provided a means of analyzing populations
independently of the pathogenicity of the constituent
isolates (7). The similarity of the MGR
"fingerprints" (Figures 5 and
6) generated by
analyzing the DNA of different isolates permitted an
estimate of their relatedness. Initial analysis of archival
US P. grisea isolates revealed a direct relationship
between fingerprint type (subsequently referred to as
lineages) and pathogenic races (11). Application of this
analytical tool to the Santa Rosa population (12) yielded a
less direct, but intriguing, relationship between lineage
and race: Sets of closely related races fall within a single
lineage and the race constitution of lineages differed.
Furthermore, in what had been described as an extremely
race-diverse population, all isolates could be grouped into
only six lineages. This led to the suggestion that rice
breeding could focus on selecting for cultivars that
combined resistance that was effective against the virulence
spectrum of all lineages in a target population.
This breeding approach,
referred to as "lineage exclusion" (24), assumes
that P. grisea populations are comprised of a few
number of discrete lineages and that these lineages have
different and stable virulence spectra. Zeigler et al. (23)
tested these assumptions in two populations from blast
resistance screening nurseries in the Philippines. They
found that, like in Colombia, there were relatively few
lineages comprising the populations (3). Analysis of lineage
virulence spectra (i.e., the virulence of isolates on sets of
isolates with known and different resistance) revealed that
they were indeed different (23). "Composite pathotypes"
could be created for a lineage by considering any
compatibility within a lineage as reflecting the virulence
capacity of that lineage. Comparing the composite pathotypes
of all the lineages of a population could predict what
combination of resistance would be effective across the
entire population. In the case of the Philippines, a
combination of resistance genes Pi-1 and Pi Z5
(Pi-2) should yield resistance effective across all lineages
(Table 1).
A similar analysis in Santa
Rosa also predicted that the same two genes should yield
broad-spectrum resistance. This was tested by crossing two
sources of resistance and then evaluating the progeny in the
field (exposing them to a diverse, well-characterized
population) and in the greenhouse (exposing them to isolates
representing the full virulence spectrum in all lineages in
the population). As expected, progeny resulted with full
spectrum resistance in both greenhouse and field evaluations
(Table 2).
Based on this positive result, parents in crosses for blast
resistance in Santa Rosa have recently been selected to
combine complementary resistance. This has yielded an
significant increase in the efficiency of the breeding
programs (Table
3).
How effective can lineage
exclusion be as a breeding tool for obtaining durable blast
resistance world-wide? A few critical issues suggest that
with present technology, all areas may not be suitable for
its adoption. The situations in the Philippines and Santa
Rosa may be somewhat atypical in that these populations are
from areas where modern varieties have been grown and,
because of a bottleneck effect of earlier deployed blast
resistance, the pathogen population may be much simpler than
those populations in other rice-growing regions. i.e. if
populations are very complex it could be practically
impossible to characterize the virulence spectra of all
lineages. Furthermore, for lineage exclusion to yield
durable resistance, lineages should be genetically isolated
from one another so that virulence genes cannot be exchanged
among lineages.
A population analysis of P.
grisea from a traditional rice-growing area of northeast
Thailand revealed a very complex population: 49 lineages
were identified from 527 isolates, and most were represented
by only one or a few isolates (14). No obvious relationships
between pathotype and lineage was discerned within these
samples using either lines near-isogenic for resistance
genes or cultivars with known resistance. Very high lineage
diversity was also observed in the Indian Himalayas (8) and
very high pathotypic diversity was observed in the Himalayan
Kingdom of Bhutan, although the corresponding lineage data
are sketchy (18,19). It would be impossible to determine the
virulence spectrum of lineages comprising these populations.
First, many lineages are represented by only one isolate, so
there is no way to determine the virulence spectrum of the
lineage. Second, there are so many lineages that the
logistics of determining virulence spectrum greatly exceed
the capacities and resources of the breeding programs
working in these areas. These problems notwithstanding, the
analysis of the NE Thailand population revealed the same
complementary effectiveness of resistance genes Pi 1 and Pi
z5.
An important assumption of
the lineage exclusion approach is that there is no gene flow
across or genetic recombination among lineages. Several
lines of evidence suggest that this may not be the case in
some areas. Reports of sexually fertile field isolates from
India (8,20), China (4), and Thailand (15) indicate that the
capacity for sexual recombination exists in nature.
Population structure and dynamics of Indian Himalayan
populations are consistent with sexual recombination having
influenced populations there (8). There is also the
possibility that horizontal flow of genes, including those
mediating resistance to entire lineages, can occur across
lineages via non-sexual, or parasexual, means (21).
Despite indications that
there may be very large areas over which a population
analysis-based lineage exclusion breeding strategies may not
be appropriate, there is ample evidence that population
analyses can yield valuable dividends. First, in most cases
examination of the virulence spectra of the most common
lineages should indicate to breeders which crosses are unlikely
to yield durable blast resistance, thus increasing their
efficiency. Second, the repeated conclusion that the gene
combination Pi 1 and Pi z5 is effective across
very different populations suggests there is something
fundamentally limiting to P. grisea carrying
compatibility to both genes simultaneously. As more blast
resistance genes are identified and placed in near-isogenic
backgrounds population analyses will enable us to identify
other broadly effective gene combinations. Finally, there
are large and important rice growing areas where P.
grisea populations are relatively simple. These may be
where rice has only recently been introduced, or where very
large areas have been planted to a few varieties carrying
several major resistance genes. The former areas include all
of the Americas, Europe, Africa and, probably, Australia.
The latter areas may include the extremely important rice
growing areas of Southeastern China, Java, the Central Luzon
area of the Philippines, parts of the Indo-Gangetic Plain
and Central India. Thus, breeding strategies for these areas
should be adjusted accordingly.
References
Cited
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