Discussion
The detection of the virus in skuas aligns with previous reports of affected species in
Antarctica (Bennett-Laso et al., 2024; Aguado et al.,2024;Banyard et al 2024, León
et al. 2024). However the detection of HPAIV at its southernmost point in Antarctica
is a significant finding that enhances our understanding of the virus’s rapid spread
and current distribution on the continent. This study provides the first documented
evidence of HPAIV A/H5-associated mortalities and RT-qPCR confirmed cases in
the highly migratory South Polar Skua beyond the Polar Antarctic Circle (PAC). The
continued spread of the virus beyond the PAC poses a growing threat to Antarctic
wildlife and may impact the stability of bird breeding colonies within Important Bird
Areas.
In our study, only birds of the genus Stercorarius were found dead, exhibiting
postmortem signs consistent with HPAIV infection and testing positive to H5, even in
areas where breeding colonies of other species were present. The RT-qPCR Cycle
Threshold (CT) value is inversely related to viral load, with lower CT values
indicating higher viral levels. During season 2024 Bennet-Laso et al. (2024) reports
CT values around 19 on brain samples indicating a high viral load on the skua’s
population. Here we found a broad range of CT values across samples and
individuals, ranging from 14 to 31, with a mean of 24.9. This suggests that viral loads
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remain important, highlighting the need for continuous surveillance to determine and
mitigate the potential ecological outcomes. Both S. maccormicki and S. antarcticus
migrate to lower latitudes during the austral winter. However, S. maccormicki
undertakes a much more extensive migration, reaching the North Atlantic and Pacific
oceans to overwinter (Kopp et al., 2011), whereas S. antarcticus typically remains
within the southern hemisphere (Krietsch et al., 2017; Delord et al., 2017). This
difference in migratory patterns is highly relevant to the spread of HPAIV from the
Northern Hemisphere, as S. maccormicki’s trans-equatorial migrations expose it to
infected regions in the north, increasing the likelihood of the virus being transported
back to Antarctic ecosystems. In contrast, while S. antarcticus has more localized
movements, its interactions with other migratory species could facilitate regional
transmission within the Southern Hemisphere. As predators, scavengers and
kleptoparasites with high migratory capacity, both species may play a role in
facilitating and contributing to the spread of the virus (Gorta et al.,2024)
Moreover, South Polar and Brown Skua overlap their distribution across 500 km of
the Antarctic Peninsula (Ritz et al., 2006,2008). Comparative genomic study
indicates significant genetic admixture along the Antarctic Peninsula between Brown,
Chilean, and South Polar skuas, with a low population structure within breeding
colonies in WAP (Jorquera et al., 2025). These high levels of gene flow may be
further contributing to the virus transmission across populations and species, both
within and between sub-Antarctic and Antarctic colonies.
Our observations during the 2024-2025 Antarctic expeditions detected a higher
number of dead skuas within the Antarctic Circle, where the introgression pattern
between South Polar Skua and Brown Skua changed, decreasing significantly the
percentage of admixture with Brown Skua. Interspecific gene flow could serve as a
significant source of novel, adaptive variation ( Hessenauer et al., 2020). Specifically,
multiallelic balancing selection, particularly through rare allele advantage, may
facilitate adaptive introgression by conferring immediate selective benefits, aiding the
establishment of introgressed alleles in recipient populations (Hedrick et al., 2013;
Fijarczyk et al., 2018).
For populations unable to generate an effective response against HPAIV H5N1, the
increasing threat of EIDs raises concerns about population bottlenecks that could
lead to local extinctions. This risk is particularly critical for endemic reproductive
species in valuable regions such as South Polar Skua in Antarctica. In this unique
environment, population bottlenecks, along with declines and recolonization events,
can disrupt population structure, leading to fragmentation and reducing effective
population sizes, ultimately accelerating the loss of genetic diversity across multiple
populations.
Population changes in both species do not follow a similar demographic trend. At
Ryder Bay, one of the southernmost distributions on the Antarctic Peninsula, a long-
term population density study shows an overall increase of breeding pairs and
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occupied territories of S. maccormicki (Phillips et al., 2019). Further north, at
Harmony Point, the most recent study indicates that population sizes of both species
have remained relatively stable over the last 25 years (Santa Cruz & Krüger, 2023).
In the more northerly regions, population trends appear to differ. At Signy Island in
the South Orkney Islands, the breeding population of S. antarcticus has increased,
whereas S. maccormicki has declined from 10 breeding pairs to just one (Carneiro et
al., 2016), and in Elephant Island there are records of recent decreases in at least
one breeding site (Stinker Point, Petry et al. 2018). These variations may result from
multiple factors, including dietary differences and the competitive abilities of each
species in each area (Carneiro et al., 2016; Reinhardt et al., 2000; Ritz et al.,2006).
Despite these regional differences through the latitudinal distribution, population
growth in the coming years seems to be unlikely, as birds might be occupying all the
available breeding niche on a given site (Santa Cruz & Krüger, 2023).
According to the International Union for Conservation of Nature (IUCN) both species
are categorized as “Least Concern”. However, while South Polar Skua has a stable
global population trend, Brown Skua is decreasing even before the emergence of the
HPAIV (BirdLife International, 2018). Future scenarios for these species suggest that
Brown Skua might experience a contraction of its northern distribution and an
expansion of the southern distribution which would increase the hybridization area
with South Polar Skua (Jorquera et al., in press). In this context, both species can be
strongly impacted by HPAIV outbreaks and consequent mortalities. On one hand,
Brown Skua could experience an accelerated population decline, while South Polar
Skua may undergo a reduction in population density due to increased hybridization
and mortality. The threat could be even more significant, considering that many local
adaptations involve immune system genes (Jorquera et al., in press).
For the breeding population of Brown Skua at Harmony Point, Santa Cruz and
Krüger (2023) estimated approximately 70 to 80 breeding pairs, with no evidence of
decline in the last season 2023-2024. However, during the 2024-2025 season, the
report of eight Brown Skuas found dead at this site represents an important number
and could have a significant impact on the colony. While no decline in the number of
breeding pairs was observed, changes in the breeding individuals within the area
cannot be ruled out if new recruits replaced those that perished.The number of
recorded skua deaths this season exceeded the usual 1 to 3 adult deaths typically
reported in the area. However, this is likely an underestimate, as monitoring was
conducted over a limited period and did not account for at-sea mortality. Notably, as
in previous studies, mortality tends to be underestimated when relying solely on
carcass searches (Ward et al., 2006)
Infectious diseases have been emerging at unusually high rates in recent years
(Daszak et al., 1999; Epstein 2001) and have been linked to species extinctions
(Daszak et al., 2000; Harvell et al., 2002). Epizootic spillover outbreaks pose not only
a significant risk to wildlife but also a threat to human health due to the potential for
pathogens to spill back (Daszak et al., 2000). The disruption of proper ecosystem
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The copyright holder for this preprintthis version posted March 7, 2025. ; https://doi.org/10.1101/2025.03.02.640960doi: bioRxiv preprint
functioning and the essential services it provides for human well-being are among
the key impacts of biodiversity loss (Mace et al. 2012), that eventually could lead to
species extinctions. Mahon et al., (2024) found that changes in biodiversity patterns
could drive the rise of EIDs even more than anthropogenic factors like pollution and
climate change. The complex relationship between how EID dynamics influence
changes in host biodiversity and vice versa complicates the approach to addressing
this issue. Its consequences rank among the top five factors that can drive extinction
risk in the United States (Wilcove et al., 1998). According to Keesing et al (2010)
while higher biodiversity can reduce disease risk through the "dilution effect," it can
also increase it via the "amplification effect." The complex interplay between
community composition, ecosystem diversity, and EIDs forms a dynamic system that
remains poorly understood (Cunningham et al., 2017). Our results alert about
demographic impact on a key apex predator in the Antarctic ecosystem, which could,
in turn, alter the demographics of other species within the same trophic chain. During
the breeding season, Brown Skua primarily prey on penguin chicks and eggs,
whereas South Polar Skua has a diet with higher consumption of fish and krill
(Reinhardt & Hahn, 2000). These differences might also affect the eco-epidemiology
of the HPAIV on the WAP, through differences in the predator-prey and multiple host
species dynamics (Roberts & Heesterbeek, 2018; Sander et al., 2007). The Antarctic
continent has been facing a reduction of seabird population such as Chinstrap
Penguins, Adelie Penguins and Cape Petrel ( Daption capense) (Carlini et al., 2009;
Braun et al., 2021; Krüger, 2023; Sander et al., 2007, Talis et al 2023, Petry et al.
2018). The impact on community diversity composition through multifactorial effects
could lead to an increase in the transmission and incidence of infectious diseases
(Keesing et al., 2010).
It is noteworthy that, although being a highly migratory species and a potential
candidate for transpolar virus transmission, the Antarctic Tern does not appear to be
affected by HPAIV, at least not by notable mortalities, even though it nests near
areas where outbreaks and mortalities occurred. Similarly, the Giant Petrel, an
Antarctic scavenger with a more limited migration range, has shown possible signs
of HPAIV in sub-Antarctic environments. However, no positive samples have been
obtained from this species, and no unusual mortalities have been observed in its
populations ( Banyard et al., 2024). Likewise, the Snowy Sheathbill, another
scavenger and kleptoparasite previously reported as positive for HPAIV in Antarctica
(Aguado et al., 2024), showed no signs of unusual mortality or HPAIV infection.
These observations pinpoint the varying impacts of the virus across different seabird
species
Given this unexpected mortality in Specially Protected Areas beyond 66.5°S and the
rapid spread of the virus, it is crucial for IAATO and SCAR authorities, scientific
researchers, conservation managers, and international organizations to implement
urgent measures to improve the surveillance of the HPAIV in order to minimize the
adverse effects of the outbreak. Important Bird Areas (IBAs) in Antarctica, such as
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted March 7, 2025. ; https://doi.org/10.1101/2025.03.02.640960doi: bioRxiv preprint
those near Margarita Bay, play a critical role in global seabird conservation efforts.
The confirmation of HPAIV in these IBAs underscores their vulnerability and
highlights the need for targeted conservation measures. A lack of preventive action
in Antarctica could cause irreversible damage to its biodiversity, making proper
management crucial now to protect the ecosystem and species (Handley et al.,
2021). Strengthened biosecurity measures, even in the absence of direct scientific
research on birds, will be critical in managing the HPAIV threat in IBAs within fragile
ecosystems such as Antarctica. Enhancing monitoring efforts, including colony
densities counts will provide a better understanding of the outbreak status and its
impact on the Antarctic seabirds. Long term systematic monitoring of biodiversity in
Antarctica has been suggested to be crucial for conservation practice (Pertierra et
al., in 2025). Continuous monitoring of migratory birds through movement ecology
analysis will allow for greater insight into the sites of infection and help identify
surrounding variants in the Antarctic region, as well as the virus's evolutionary
potential and its relation to pathogenicity.
Declaration of Interest Statement
The authors declare that they have no competing interests or conflicts of interest
related to this research, authorship, or publication of this manuscript.
Acknowledgments
This study was funded by ICM-ANID ICN2021_002 Millennium Institute BASE, the
Oceanographic Institute, Foundation Albert I, ICN2021_044 – CGR, INACH RT-30-
22 and National Institute of Allergy and Infectious Diseases, National Institutes of
Health, Department of Health and Human Services, Centers of Excellence for
Influenza Research and Response (CEIRR) under Contract No. 75N93021C00017
Option 18A, Brazilian National Council for Scientific and Technological Development
(CNPq), under the Project number 440901/2023-5, and Instituto Antártico Chileno
(INACH) Programa Areas Marinas Protegidas (AMP 24 03 052). We are very
grateful to the all team of ICM-ANID ICN2021_002 Millennium Institute BASE. We
deeply thank the Betanzo Crew, the Capitán José Reyes, Edgardo Barrios Villouta;
the INACH logistic staff, in particular Alejandro Font and Pablo Espinoza; Carolina
Márquez and Constanza Barrientos for their help on the fieldwork and Melisa Gañan
Mora for the map.
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Figures and Tables
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Figure 1. Sampling sites. Unusual mortalities and positive HPAIV cases are denoted with
red circles, while no mortalities or suspected cases are indicated with yellow circles. Red
stars indicate mortalities and positive cases of HPAIV for new records within the Antarctic
Polar Circle. Two of the localities visited, Avian Island (AI) and Lagotellerie (LAI) and
Cormorant Island (CI), have ASPA or ASMA categories and all of them are Important Birds
Areas (IBA). For abbreviations see Table 1.Photo: [Contanza Barrientos].
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Figure 2. The vessel Betanzos is equipped for conducting scientific expeditions in
Antarctica. a) During this expedition, zodiac cruises facilitated the monitoring and
observation of seabird colonies. b) The vessel is equipped with biosecurity measures that
allow the equipment and clothing to be washed and disinfected. c) A dry laboratory,
equipped with the necessary tools and material for stored samples. . Photos: [Constanza
Barrientos].
Figure 3. Several dead skuas were observed in pairs near the reported nesting sites in the
breeding and rearing areas of the IBA . a-b) Both sampled birds in Horseshoe Island showed
neck position indicating a possible opisthotonus sign at the time of death. Birds had no sign
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of predation and had well-preserved plumage.Photos: [Constanza Barrientos] c) Some
animals exhibited dry vomit around the bill. Photo: [Claudia Ulloa-Contreras] .
Table 1: Sampling sites, number of dead and H5 positive adult skua carcasses. Note that
not all reported carcasses were sampled. *The location is not reported as a breeding site of
skuas.
Abbreviati
on
Site name Decimal
Latitude
°S
Decimal
Longitu
de °W
Number of
dead
Stercorari
us Spp.
birds
Ratio of
H5
positive
birds/sam
pled birds
LR Lions Rump 62.1326
83
58.12204
0
0 0
ARI Ardley
Island
62.2127
97
58.93338
3
0 0
HP Harmony
Point
62.3056
5
59.19512 8 1/1
KI Kopaitic
Island*
63.3138
19
57.91162
5
0 0
OB Bernardo
O’higgins
Base
63.3208
93
57.89965
0
0 0
THI Two
Hummock*
64.1514
14
61.75308
2
0 0
CU Cuverville
Island
64.7934
38
63.96705
1
1 1/1
LI Lichtfield
Island
64.7999
995
64.08627
9
0 0
CI Cormorant
Island
64,7999
995
63,96666
69
4 1/1
BP Biscoe
Point
64.8067
00
63.76100
7
2 0
GGV Gabriel
Gonzalez
Videla
Base*
64.8234
31
62.85728
5
0 0
PI Perch
Island*
63.3138
19
65.35365
3
0 0
CS Carvajal 67.7603 68.91452 2 0
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766
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768
769
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Station 60 6
AI Avian
Island
67.7730
99
68.89486
6
6 4/4
HI Horseshoe
Island
67.8079
93
67.29534
9
6 2/2
LAI Lagotellerie
Island
67.8824
31
67.39999
0
6 2/2
Table 2 : Type of sample obtained from each carcass and its respective Cycle Threshold
(CT) value. Sp = Species; Brown Skua (BS) and South Polar Skua (SP). Note that not all
carcasses allowed the collection of all three types of swabs. For those carcasses with
Positive* result, it was not possible to reobtain CT value.
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Site name Sp / Skua ID Obtained swabs CT value
Harmony Point BS-1 Orotracheal Positive*
Cloacal Positive*
Cuverville Island (CU) SP-1 Brain 18,942
Orotracheal 25,224
Cloacal 26,841
Cormorant Island (CI)
SP-2 Orotracheal 24,748
Cloacal 24,507
Avian Island (AI) SP-3 Brain Underdeterminated
Orotracheal 22,693
Cloacal 18,394
SP-4 Brain 20,045
Orotracheal Underdeterminated
SP-5 Brain 31,279
Orotracheal 26,864
Cloacal 32,401
SP-6 Brain 13,976
Orotracheal 22,375
Horshoe Island SP-7 Orotracheal Underdeterminated
Cloacal 23,339
SP-8 Orotracheal 26,148
Cloacal 29,325
Lagotellerie Island SP-9 Orotracheal 36,503
Cloacal 27,632
SP-10 Orotracheal 22,624
Cloacal 32,401
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