The genomic basis of adaptation: target site and non-target site
resistance mechanisms
Pesticides are designed to target particular genes in functional
pathways of pest organisms. For example, quinone-outside inhibitor
fungicides (QoIs) target the products of the fungal gene cytochrome b, a
critical component of aerobic respiration. In plants, the herbicide
glyphosate targets the protein product of EPSPS
(5-enolpyruvylshikimate-3-phosphate synthase), a central gene in the
shikimate acid pathway. One type of pesticide resistance— termed
target site resistance—occurs when a mutation in the gene targeted by
the pesticide alters the conformation of the protein, reducing or
completely eliminating the ability of the pesticide to bind to the
protein’s active site (Délye et al. 2013). A number of studies
have examined target site resistance by sequencing the target locus and
assessing the various mutations associated with resistance. Givena priori information about how pesticides work, thus providing
obvious genetic candidates to explore, along with the relative
simplicity of sequencing a single gene, we currently have a somewhat
comprehensive understanding of the type and number of genetic variants
associated with target site resistance, especially in herbicide
resistant weeds (Tranel, Wright, & Heap 2021; Baucom 2016).
We still have much to learn about target-site resistance evolution,
however, especially in the context of broader, genome-scale dynamics. In
this special feature, Clarkson et al. (2021) move beyond investigating
the dynamics of target-site resistance in isolation by explicitly
examining the role of intragenic variation on resistance to pyrethroid,
a class of insecticide that is used to control mosquito populations
associated with malaria. Their investigation of whole-genome sequence
data reveals a ‘a tale of two alleles’: two widespread large-effect
target-site resistance alleles within the voltage-gated sodium channel
(VGSC) gene appear to be on different evolutionary trajectories. One
allele, likely an early ancestral mutation, is associated (i.e.,in strong positive linkage disequilibrium) with a subsequent explosion
of 13 secondary non-synonymous mutations, whereas the second allele is
associated with fewer mutations. Further, most of these mutations are
background-dependent, occurring nearly exclusively on distinct
haplotypes—haplotypes that are associated with different signatures of
selection despite harbouring the same focal resistance allele, implying
important compensatory or enhancing allelic interactions for resistance
evolution.
A major contribution to our understanding of the predictability of
evolution stems from work examining the repeatability of target site
changes that confer pesticide resistance across insect and weed species,
respectively (Martin & Orgogozo 2013). However, whether or not parallel
genetic changes lead to resistance among fungal plant pathogens has yet
to be succinctly summarized. In this issue, Hawkins and Fraaije (2021)
investigate the extent of parallel evolution of individual mutations in
target genes among species of fungal pathogens. Focusing on mutations
associated with four classes of fungicide, they show that the
target-genes vary substantially in the diversity of mutations detected.
For two fungicide classes (Qols and MBCs) the same mutations are
observed repeatedly across species. In contrast, a greater diversity of
resistance mutations was uncovered within genes targeted by azole and
SDHI fungicides, providing less evidence for extreme parallelism across
species compared to QoIs and MBCs.
Another form of target-site resistance is from gene amplification, where
increased copy number of the target locus leads to more functional
protein and subsequent resistance. In a handful of weeds, an increase in
the copy number of the EPSPS locus leads to high glyphosate resistance
(reviewed in Gaines et al. 2019); while the underlying
mechanism of this copy number increase has been described (Koo et
al. 2018), we understand relatively little about the long term
maintenance of copy number variation (CNV) and how gene amplification
may influence interactions with other loci. Yakimowski, Teitel and
Caruso (2021) quantified patterns of variation of target gene copy
number and resistance phenotypes within and among populations—the
‘natural history’ of a resistance CNV—to provide insight into the
evolution of glyphosate resistance in the agricultural weedAmaranthus palmeri in the eastern United States. They detected a
steep increase in phenotypic glyphosate resistance at a threshold value
of ~15 gene copies, but also found that populations with
the highest mean resistance contained some low copy number individuals
(albeit at low-frequency). From 15 to 160 gene copies the level of
resistance changed very little; however, the proportion of
low-resistance phenotypes gradually decreased in populations with
increased copy number, suggesting that dosage of the target gene with
increasing copy number might compensate for negative interactions with
other loci. Potential positive interactions with other genes were also
observed in populations from Georgia. Overall, target gene copy number
variation explained a high proportion (~57%) of
variation in phenotypic resistance among populations.
In another contribution to this special issue, Gaines et al. (2020) show
that copy number variation of this target gene is also present in
populations of A. palmeri from Brazil and Uruguay, indicating
that copy number variation related to resistance is found broadly across
the landscape. Interestingly, however, resistance in Argentinian
lineages of A. palmeri was due in large part to non-target site
resistance mechanisms—i.e. resistance mechanisms that do not
involve the target site, such as altered translocation or detoxification
of the pesticide, among others—rather than elevated copy number of the
EPSPS locus. These results show both genomic flexibility in solving the
problem of herbicide exposure and the independent, novel evolution of
resistance across geography in this species.
Thus, in addition to target site resistance mechanisms, organisms can
also evolve resistance through non-target site mechanisms. Non-target
site resistance mechanisms, which are often thought to be due to
polygenic variation, can both confer resistance as well as potentially
supplement target-site effects. While both target site and non-target
site mechanisms have previously been uncovered within the same herbicide
resistant weed species (as in Gaines et al. 2020), the relative
contribution of either type of mechanism has yet to be clearly
delineated in any weed species. Using another glyphosate resistantAmaranthus species, A. tuberculatus (common waterhemp),
Kreiner et al. (2021) uncovered the cryptic contribution of genome-wide
alleles to glyphosate resistance. On the genomic background of
agricultural populations harbouring high frequencies of target-site
resistance mechanisms (Kreiner et al. 2019), the authors
illustrated a near-equal importance of non-target and target-site
mechanisms. Further, they uncovered hundreds of alleles associated with
non-target site resistance that show not only evidence of recent strong
selection from herbicides but a classic trade-off between effect size
and allele frequency that implicates pleiotropy as a key constraint to
the evolution of herbicide resistance.
As our understanding of the genetic architecture of pesticide resistance
and governing selective processes deepens, a key question will be how
consistently such alleles are involved across geographic scales. This
question is addressed by Hartmann et al. (2020), who investigated the
architecture of azole fungicide in a key wheat pathogen,Zymoseptoria tritici across three continents. They uncovered a
suite of azole resistance-related loci across the genome including a
novel large-effect gene, DHHC palmitoyl transferase. Along with key
alleles conferring resistance to three other chemical classes of
fungicides, the authors find evidence that the genomic architecture of
fungicide resistance is largely distinct across continents, with the
exception of large-effect genes that act as hotspots for convergence.
Overall, this collection of work characterizing the genetic architecture
of pesticide resistance uncovers remarkable complexity in monogenic and
polygenic contributions and the processes that govern their assemblage
across genomes, from background- and population-specific constraints to
the potential for pleiotropic tradeoffs.