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22001199 SOUTHEASTERN NATURALIST 1V8o(3l.) :1484,1 N–4o5. 03
Spatial and Temporal Variability of the Alligatorweed
pathogen, Alternaria alternantherae, in Louisiana
Nathan E. Harms1,* and Judy F. Shearer2
Abstract - Alligatorweed leaf spot is a disease of invasive Alternanthera philoxeroides
(Alligatorweed) in the southern US, caused by Alternaria alternantherae. However, little is
known about when or where this pathogen naturally occurs. To better understand this species’
life history, we examined temporal (every 2–3 weeks) and spatial (latitudinal) patterns
of A. alternantherae occurrence at sites in Louisiana for 2 y. Pathogen presence reflected
clear within-year temporal and spatial patterns. Overall, the percentage of leaves infected
with A. alternantherae was low during spring each year (0–20% infected) but increased
throughout summer (maximum of 50% infected), and plants in northern sites had lower
frequency of infection relative to southern sites until later in the year (late summer/early
fall) but only in 1 of the 2 years of our study. The mean proportion of leaves infected with
A. alternantherae declined with latitude both years (P = 0.01) and variability increased
with latitude (P = 0.04), a pattern suggestive of range limitation in northern areas. We
estimate a northern distributional limit of 34°N for A. alternantherae in Louisiana, but Alligatorweed
occurs farther north. Although we did not directly examine disease impacts to
Alligatorweed during the study, they may be greatest in southern areas, where the pathogen
is more common early and throughout the growing season, and thus may be less likely to
provide control in northern infestations of the invasive Alligatorweed.
Introduction
Biological control of the aquatic invasive plant Alternanthera philoxeroides
(Mart.) Griseb. (Amaranthaceae; Alligatorweed) has been mostly successful along
the Gulf coast of the US, where winters are warm and its primary control agent,
Agasicles hygrophila Selman and Vogt (Coleoptera: Chrysomelidae; Alligatorweed
Flea Beetle), overwinters successfully (Buckingham 1996, Coulson 1977, Vogt et
al. 1992). In 1975, the pathogenic fungus, Alternaria alternantherae Holcomb &
Antonop., was discovered producing characteristic purple leaf lesions on Alligatorweed
plants near Baton Rouge, LA (Holcomb 1978, Holcomb and Antonopoulos
1976,). Subsequent studies found A. alternantherae to be highly damaging to Alligatorweed
plants but posed a risk to several non-target species (Barreto and Torres
1999, Holcomb 1978, Pomella et al. 2007). Nonetheless, there has been recent interest
in evaluating A. alternantherae for its potential as an inundative (i.e., applied
to the target weed in a similar manner to herbicide application) biological control
agent (Gilbert et al. 2005, Pomella et al. 2007).
1Research Biologist, Environmental Laboratory, US Army Engineer Research and Development
Center, 3909 Halls Ferry Road, Vicksburg, MS 39180. 2Research Plant Pathologist
(retired), Environmental Laboratory, US Army Engineer Research and Development Center,
Vicksburg, MS 39180. *Corresponding author - Nathan.E.Harms@usace.army.mil.
Manuscript Editor: Richard Baird
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Despite its known presence in the US since the 1970s, and numerous reports
from around the world (Akhtar et al. 2012, Barreto and Torres 1999, Gilbert et
al. 2005), field dynamics of A. alternantherae, and especially interactions with
introduced biological control agents (e.g., Alligatorweed Flea Beetle), remain
unstudied. In other systems, insect–fungal interactions range from positive (e.g.,
infection facilitates herbivory or vice versa) to negative (e.g., infection increases
plant resistance to herbivory or decreases palatability; Saikkonen et al. 1998), to
both (e.g., herbivory reduces infection, but infection increases palatability to herbivores;
Saikkonen et al. 1998). Although it is uncommon that biological control
programs for weeds use a combination of insects and plant pathogens, their combined
use may increase efficacy in areas where impacts from either individually
are low (Kremer 2000). However, it is important to understand conditions suitable
for use of control agents, which can be accomplished by field observations in areas
where the agents are established. Although conditions favoring Alligatorweed Flea
Beetle occurrence on Alligatorweed have been investigated (Coulson 1977, Harms
and Shearer 2017, Vogt et al. 1992), there are no reports to date on occurrence of
A. alternantherae at a range of field sites.
Along with interest in its potential as a biological control agent, there has been
additional interest in A. alternantherae due to recent reexamination of the seasonality
and effectiveness of control of Alligatorweed by Alligatorweed Flea Beetle
(Harms and Shearer 2017). An understanding of when and where the pathogen occurs
may aid in predicting its potential as a biological control agent, in determining
whether interactions with other agents might occur, and in predicting whether those
interactions will be positive, negative, or neutral.
In the current study, our goal was to document spatial and temporal patterns in
A. alternantherae occurrence in Alligatorweed among study sites in Louisiana. We
surveyed sites along a 315-km north–south transect in Louisiana multiple times per
growing season for 2 y. Our findings represent the first documentation of A. alternantherae
across a range of sites and over multiple years.
Field-site Description
We chose sites to cover a broad climatic gradient, which included 11 sites
in Louisiana and 1 site (Openwood Pond) in Mississippi (Fig. 1, Table 1). For
purposes of our temporal analysis, we classified sites into 3 regions of the state
determined by latitude: South (28.0°N–30.5°N), Central (30.5°N–31.5°N), North
(31.5°N–33.0°N). We made geographical classifications in an attempt to capture
approximately equal portions of the state for each region. Site types varied but
consisted of ponds (Openwood Pond, Simmesport Pond, Greenwood Community
Park), rivers/bayous (Blind River, Bayou Chevreuil, Bayou Macon, Choctaw
landing), wildlife management area wetlands (Maurepas WMA, Blackwater
Conservation Area), and lakes (Martin Lake, Poverty Point Reservoir, Lake St.
Joseph). We surveyed Alligatorweed for the presence of characteristic leaf lesions
every 2–3 weeks in 2015 and every 3 weeks in 2016. In 2015, we surveyed 6 sites
from March until August. In 2016, we expanded to 12 sites surveyed from March
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until October. Each sampling area within a site was limited to ~5 m2, and we sampled
the same area during each visit.
Methods
Alternaria alternantherae sampling
We employed 2 methods to assess A. alternantherae at our sites. We collected
30–50 Alligatorweed leaves per site from the 3rd and 4th apical node of plants, then
randomly selected for pathogen processing a subsample of 5 leaves that displayed
symptoms associated with Alligatorweed leaf spot. On some dates, we observed
no diseased plants; thus, there were zero pathogen samples on those dates. We
also collected no samples if plants had been defoliated (e.g., by the biological
control agent Alligatorweed Flea Beetle). Therefore, the number of leaves processed
from each site varied from 0 to 5 during each collection period. Several
sites became inaccessible due to high water, so the number of sites sampled each
date from each region varied from 1 to 4. We also randomly selected a subsample
of 20 leaves at each site during each sample period, and scanned them on an Epson
Perfection V550 Photo flat-bed scanner (Epson America Inc., Long Beach,
Figure 1. Eleven study sites in Louisiana and 1 in Mississippi grouped by region in
the state.
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CA) at 600 dpi. To determine the proportion of leaves within sites that were diseased,
we classified each one as diseased or healthy, based on visual observation
of lesions.
We were interested in whether plant damage status was informative of infection
by A. alternantherae. Accumulated stress from previous damage events
(from insect feeding or pathogen infection) may cause Alligatorweed plants to be
more susceptible to future impacts if a defensive response (e.g., change in specific
leaf area, C/N ratio) is not strong. As an indicator of accumulated damage at the
time of our sampling, we quantified the number of missing leaves per plant. Leafabscission
may occur in response to high damage levels (Akhtar et al. 2012, Faeth
et al. 1981, Gilbert et al. 2005, Harms et al. 2017); thus, an examination of the
proportion of missing leaves could be a fair representation of previously sustained
damage. We calculated this fraction by subtracting the number of missing leaves
from the total number of potential leaves (with 2 per node), then dividing by the
total number of potential leaves and subtracting the result from 1. This calculation
provided the proportion of missing leaves for each date and location. Other
types of stressors (e.g., herbicide, drought) could result in similar leaf abscission
Table 1. Study sites and coordinates. Latitude (lat) in °N and longitude (long) in °W.
Waterbody
Site Name Region Lat, Long type Location description
Poverty Point Reservoir N 32.53, 91.49 Reservoir State park, north of Delhi, LA
Openwood Pond N 32.40, 90.79 Residential Residential pond in Vicksburg,
pond MS
Bayou Macon N 32.09, 91.56 River Public boating access
Lake St. Joseph N 32.08, 91.23 Lake Oxbow Lake at Newellton, LA
Spring Bayou C 31.14, 92.01 River Spring Bayou WMA, North of
Marksville, LA
Simmesport Pond C 30.97, 91.81 Public pond Public pond, Simmesport, LA.
Greenwood Community Park C 30.57, 91.17 Public pond Community park/golf course in
Baton Rouge, LA
Blackwater Conservation Area C 30.54, 91.09 Wetland Public park wetland near Baton
Rouge, LA
Martin Lake S 30.22, 91.90 Lake Public access near Breaux
Bridge, LA
Maurepas WMA S 30.15, 90.81 Swamp Maurepas WMA south of
Sorrento, LA
Blind River S 30.09, 90.78 River Blind River WMA near
Gramercy, LA
Bayou Chevreuil S 29.91, 90.73 River Public access near Thibodaux,
LA
Choctaw Landing S 29.85, 90.68 River Sanchez boat landing near
Choctaw, LA.
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(Grossmann 2010, Parker and Pallardy 1985), but these conditions were not common
at our sites. Herbicide application occurred infrequently (only twice that we
recognized) in the areas around our sample locations and sites remained saturated
during the study period.
A 0.5 x 1.0-cm section from each unique lesion on each diseased leaf was excised,
surface-sterilized in 10% bleach for 1 min, rinsed in sterile water, then plated
onto Martin’s agar (maximum of 3 leaf pieces per plate) (Dhingra and Sinclair
1995). We incubated the plates in the dark at 25 °C for 1 week, at which time we
cut and placed onto potato dextrose agar (PDA) (Difco, Detroit, MI) a 1 mm x 1mm
section from the leading edge of each distinct colony. We incubated the isolates for
1 week at 25 °C and sorted them into morphospecies based on colony morphology
and color. We identified morphospecies to species when possible by plating each
onto PDA and potato–carrot agar (PCA) plates. We used 2 agars because PCA
stimulates sporulation and PDA provides morphological characteristics (distinctive
colony colors and growth patterns) for identification.
After we identified the isolates, we determined the proportion of leaves in which
A. alternantherae was isolated for each site and date. We multiplied this proportion
by the proportion of diseased leaves at sites (determined by earlier leaf-scan classification)
to estimate A. alternantherae abundance as the total proportion of leaves
at sites infected by A. alternantherae. This abundance value was the response variable
in our statistical analyses.
Statistical approach. We took a number of approaches to examine spatial and
temporal patterns of A. alternantherae occurrence during our study. We normalized
all proportion data through arcsine–square root transformation (Gotelli and Ellison
2004). We used general linear models to identify spatial (i.e., latitudinal) patterns
in pathogen occurrence. We averaged the proportion of diseased plants at sites on
each date and used overall site means (per year) as the response variable in the
model. We included year, latitude, and a year x latitude interaction in the model.
We calculated overall mean proportion of diseased leaves by site and year, and
used that average as the data point; thus, there were 6 data points in 2015 and 12 in
2016. We were also interested in variability of disease occurrence within sites, so
we calculated the coefficient of variation (CV) of the proportion of diseased plants
at each site and used the same linear model to compare CV between years and along
the north–south gradient. We used Pearson correlation to examine the relationship
between accumulated stress (estimated by proportion of missing leaves per plant)
and infection by A. alternantherae. All statements of statistical significance are
based on α = 0.05. We performed statistical analyses in Statistica ver. 12 (Statsoft,
Inc., Tulsa, OK).
Results
Clear spatial and temporal patterns emerged during our study into A. alternantherae
occurrence. During both years, the proportion of diseased plants increased
during the growing season (Fig. 2A, B). In 2015, by May, we documented
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A. alternantherae in southern sites (nearly 50% plants infected), but occurrence in
northern sites did not peak until the last sampling period in August. However, in
2016, all regions displayed similar patterns in infection during the year (Fig. 2B).
Although the maximum proportion of infected leaves in 2016 did not reach levels
from 2015, all regions had low rates of infection early, which increased during the
year, represented by peaks in May and September.
The proportion of Alligatorweed leaves infected with A. alternantherae decreased
99% from the maximum of 0.36 in a southern site to less than 0.01 in
multiple northern sites (Fig. 2C; Latitude: df = 1, F = 12.51, P = 0.003) but varied
only marginally between years (df = 1, F = 4.22, P = 0.06). Extrapolation from
the linear model (Fig. 2C) suggests that the northernmost distribution limit of
A. alternantherae may be near 34°N. Variability in the proportion of infected leaves
nearly doubled with latitude (df = 1, F = 6.42, P = 0.02), but not between years
(P = 0.83) (Fig. 2D). We detected no significant interactions between latitude and
year for either mean abundance of variation in mean abundance. We also found no
significant relationship between the proportion of missing leaves per plant and the
proportion of remaining leaves infected by A. alternantherae (P > 0.05).
Figure 2. (A) Proportion of leaves infected by A. alternantherae during (A) 2015 and (B)
2016, and (C) mean and (D) coefficient of variation of the proportion of leaves infected by
A. alternantherae. Mean (± SE) proportion infected by year is displayed in inset. Best-fit
lines in (C) and (D) were fit by least squares regression.
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Discussion
We were able to demonstrate, for the first time, that the occurrence of the
Alligatorweed leaf spot pathogen A. alternantherae varied considerably during
multiple years and across sites. We found that incidence of the pathogen generally
decreased (and variability increased) at northern latitudes (Fig. 2). Although we did
not directly examine the relationship between infection by A. alternantherae and
damage due to Alligatorweed Flea Beetle feeding, it is possible that the patterns we
observed are partially the result of seasonal variation in insect biological-control
damage to plants. For example, Harms and Shearer (2017) documented defoliation
due to feeding by Alligatorweed Flea Beetle in these same southern, but not northern,
sites in 2015. Thus, a possible explanation for the pattern we observed in 2015
is that plants weakened by flea beetle damage were more susceptible to infection
early in 2015, whereas northern plants never reached comparable maximum levels
of feeding damage or infection. However, in 2016, overall damage levels from
Alligatorweed Flea Beetle feeding were higher across sites (N.E. Harms, unpubl.
data), but maximum infection rates were lower (Fig. 2A, B). Our examination of
the relationship between accumulated damage (missing leaves) and the infection
of remaining leaves failed to uncover a significant relationship. The apparent synchronization
in timing of presence, but not abundance, between populations during
2016 could be related to either Alligatorweed Flea Beetle feeding or overwintering
success, or both. In 2016, we observed feeding by Alligatorweed Flea Beetle at all
sites early in the year, presumably a consequence of high overwintering survival
during the mild winter of 2015–2016 (mean winter temperature averaged across all
sites = 13.59 ± 0.53 °C) as compared to the previous colder winter in 2014–2015
(9.97 ± 0.69 °C). It may be that overwintering survival and subsequent occurrence
of both Alligatorweed Flea Beetle and A. alternantherae are correlated but not
causal. Also, host availability in northern sites may be low if plants are killed back
to the water line by hard frosts. Whether low winter temperatures in our study sites
have a direct mortality effect on A. alternantherae or are an indirect effect from
a reduction in host plants is unknown. Although we did not sample plant material
during winter months, it would be worth investigating whether A. alternantherae
persists in infected tissues underwater during these months or is dispersed to northern
sites during the year. The latter explanation is plausible, given the large-scale
dispersal patterns of Alligatorweed Flea Beetle from southern to northern sites
(Coulson 1977, Harms and Shearer 2017) and because spores of Alternaria spp.
can disperse by wind, water, or insect vectors (e.g., Chen et al. 2003, McCartney
and Fitt 1998, Meredith 1966). Future research could benefit from examining Alligatorweed
Flea Beetle as a disease vector by sampling dispersing individuals for
presence of A. alternantherae.
We detected an increase in variability of A. alternantherae occurrence with
latitude. Geographic distributions of species reflect the biotic (e.g., predation, competition,
symbioses) and abiotic (e.g. geology, climate) conditions they experience
at varying spatial and temporal scales relative to their niche requirements (Brown
1995, Gaston and Blackburn 2008). Thus, variability in species abundance is often
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predicted to increase towards range limits (Sexton et al. 2009) because relatively
small fluctuations in limiting factors (e.g., winter temperatures) may have disproportionately
large effects on the organism. Implications of this variability are that
impacts from A. alternantherae, although likely lower overall due to reduced occurrence
at higher latitudes, will also be more difficult to pre dict.
We observed leaf lesions on 46 occasions for which we did not isolate A. alternantherae
from leaves. There were a number of other foliar fungi associated with
Alligatorweed at our study sites (N.E. Harms and J.F. Shearer, unpubl. data); thus,
we conclude that a different pathogen(s) was responsible for damage on those dates.
Interactions between foliar fungi may be complex and interconnected, potentially
related to nutrient supply or various kinds of stressors (Carroll 1988, Liu et al.
2011); the patterns we observed in differences with latitude or time of the year
could be related to as yet unknown relationships between different Alligatorweedassociated
fungi.
Ours is the first study to examine spatial patterns of pathogen occurrence relative
to a climatic gradient in the context of the Alligatorweed biological control
program. Although our study lasted only 2 growing seasons, we provide evidence
for spatial and temporal patterns in occurrence of the common Alligatorweed leaf
spot pathogen A. alternantherae. Future applied efforts might examine whether
the pathogen could be used as an inundative agent in northern areas outside the
range of the insect agents (e.g., Arkansas, Tennessee) or experimentally test cold
hardiness of the pathogen. Potential interactions between A. alternantherae and introduced
insect agents (e.g., Alligatorweed Flea Beetle ) may prove fruitful if they
are not antagonistic to each other. Despite the number of years since Alligatorweed
was first introduced in northern areas, it is still important to identify appropriate
management tools to reduce the impact of infestations. Alligatorweed populations
in the US may be a mix of genotypes (Pan et al. 2013), so future research may also
account for the importance of plant genotype on management effic acy.
Acknowledgments
We thank Jonathan Winslow, Julie Nachtrieb, Sam Kirk, Schuyler Cool, Andrew Flick,
and Tri Tran for assistance in the field. We are grateful to Lynde Dodd, Gary Dick, Aaron
Ellison, and 2 anonymous reviewers for suggestions to improve this manuscript. This work
was conducted under the US Army Corps of Engineers Aquatic Plant Control Research
Program under management of Dr. Linda Nelson.
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