In 2009 a new influenza virus jumped from pigs to humans and spread very rapidly, causing an initial outbreak in Mexico and becoming a global pandemic in just a few months. Although the most straightforward explanation is that the virus originated in swine in Mexico, several studies suggested that this was unlikely because key genetic components of the virus had never been detected in the Americas. Determining the source of the disease is critical for predicting and preparing for future influenza pandemics.

Mena, Nelson et al. sought to better characterize the genetic diversity of influenza viruses in Mexican swine by obtaining the entire genetic sequences of 58 viruses collected from swine in Mexico, including some from previously unsampled regions in central Mexico. The sequences revealed extensive diversity among the influenza viruses circulating in Mexican swine. Several viruses included genetic segments that originated from viruses from Eurasia (the landmass containing Europe and Asia) and had not previously been detected in the Americas. The new sequences contained key genetic components of the 2009 pandemic virus. Furthermore, the sequences suggest that viruses with a similar genetic composition to the 2009 pandemic virus have been circulating in pigs in central-west Mexico for more than a decade. Thus, this region is the most likely source of the virus that started the 2009 pandemic.

Mena, Nelson et al. also found that the movement of viruses from Eurasia and the United States into Mexico closely follows the direction of the global trade of live swine. This highlights the critical role that animal trading plays in bringing together diverse viruses from different continents, which can then combine and generate new pandemic viruses.

A potential next step is to perform experiments that investigate how well the swine viruses can replicate and pass between different animal models. Comparing the results of such experiments with the findings presented by Mena, Nelson et al. could identify factors that make the viruses more likely to spread to humans and produce a pandemic.

Our ability to predict outbreaks of zoonotic pathogens requires an understanding of their ecology and evolution in reservoir hosts. At the onset of the 2009 influenza pandemic, whole-genome sequencing revealed that pdmH1N1 was a novel reassortant virus comprised of segments from three major swIAV lineages (Garten et al., 2009): segments PB2, PB1, PA, NP and NS were derived from a triple reassortant H3N2 swine virus (TRsw) that originated in North American swine during the mid-1990s; the HA (H1) segment derived from the classical swine H1N1 lineage (Csw) that has circulated in North American swine since the 1918 pandemic; and the NA (N1) and MP segments were related to the avian-like Eurasian swine lineage (EAsw) that emerged in European pigs in the late 1970s. Genetic and epidemiological evidence indicate that the first outbreak of pdmH1N1 occurred in humans in Mexico (Brockmann and Helbing, 2013; Chowell et al., 2011; Lemey et al., 2009). However, it remained unclear whether Mexico also was the site of the zoonotic transmission event that gave rise to the 2009 outbreak, given that EAsw viruses had never been detected in swine in any part of the Americas, including Argentina, Brazil, Chile, Mexico, Peru, Canada, and the intensively sampled swine herds in the United States (Anderson et al., 2013; Nelson et al., 2015b; Pereda et al., 2011; Tinoco et al., 2015). At the time, Asia was the only region where TRsw, Csw, and EAsw viruses were known to co-circulate in swine (Zhu et al., 2013).

Asia is a global source of novel human seasonal influenza viruses (Lemey et al., 2014; Russell et al., 2008), avian viruses associated with the pandemics of 1957 and 1968 (Kawaoka et al., 1989), and emerging avian viruses with pandemic potential (Lam et al., 2015; Taubenberger Morens, 2009). Since 2009, several studies have implicated Asian swine as a possible source of the TRsw/Csw/EAsw reassortant swine virus that gave rise to pdmH1N1. Asia is the only region where TRsw, Csw, and EAsw are known to exchange segments through reassortment (Lam et al., 2011; Poonsuk et al., 2013; Takemae et al., 2008; Vijaykrishna et al., 2011). At the onset of the pandemic, IAVs identified in swine (swIAVs) in Hong Kong, SAR, were more closely related to pdmH1N1 than any other swIAVs available globally (Smith et al., 2009). One Hong Kong swIAV was identified with a genotype similar to the pdmH1N1 virus except for the NA segment, and transmitted via respiratory droplet in ferrets (Yen et al., 2011). However, the time of the most recent common ancestor (tMRCA) of the Hong Kong swIAVs and pdmH1N1 was still approximately 10 years (Smith et al., 2009). Combined with the lack of any complete swIAV genomes from Mexico’s large swine populations at the start of the pandemic, and the difficulty of understanding how a virus that evolved in Asian swine caused its first outbreak in humans in Mexico, the geographical location of the swine-to-human transmission event that gave rise to pdmH1N1 has remained uncertain. In the years following the pandemic, new surveillance in Mexican swine has identified Csw, TRsw, and pdmH1N1 and seasonal H3N2 viruses of human origin (Nelson et al., 2015a), but no EAsw viruses. However, the majority of swIAVs in previous analyses were collected in northern and eastern Mexico, and no studies to date have included viruses from major swine-producing states in central Mexico, including Jalisco, Guanajuato, and Puebla (Figure 1).

Figure 1

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Figure 1—source data 1

Swine population sizes in Mexican states in 2014.

Data available from Mexico's Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA) (www.siap.gob.mx).

https://doi.org/10.7554/eLife.16777.004

Download elife-16777-fig1-data1-v2.csv

Resolving whether the viral precursors of pdmH1N1 evolved in swine in Mexico or Asia has important implications for understanding pandemic emergence and informing risk assessment. We therefore undertook expansive surveillance efforts in Mexico, isolating the virus from pigs with respiratory symptoms in farms from six Mexican states with high swine production, including Sonora in northern Mexico, Yucatan in eastern Mexico, and previously unsampled states in central-east Mexico (Puebla), and central-west Mexico (Jalisco, Guanajuato, and Aguascalientes, Figure 1). These efforts yielded 58 complete viral genomes (sequence accession numbers are available in the Dryad data repository under Doi:10.5061/dryad.m550m) that were used to identify swIAVs that are closely related to pdmH1N1, resolving the origins of pdmH1N1 in its reservoir host.

Overall, our findings resolve a long-standing question of where the pandemic H1N1 virus originated in swine. Moreover, they underscore the importance of understanding the global evolution of IAVs in pigs, and the pandemic threat presented by the large number of independently evolving swIAV populations worldwide that periodically experience invasions of new viruses. Our findings demonstrate the central importance of inter-hemispheric swine movements in the long-range dissemination of swIAV diversity, which allowed divergent Eurasian and North American viruses to co-circulate in central Mexico and reassort into genotype 1 viruses (Figure 8). It remains unclear whether conditions in Mexico were uniquely suitable for the emergence of genotype 1 viruses, or whether it is possible that similar viruses also circulate undetected in Asia, the only other location where Csw, EAsw, and TRsw viruses and various reassortants are known to be present (Lam et al., 2011). The inability of researchers to produce genotype 1 viruses experimentally in cell cultures or pigs (Ma et al., 2014) implies strain-specific differences in reassortment capabilities. The likelihood of pandemic emergence is therefore enhanced by the seeding of diverse swIAV lineages in countries with varying swine production practices and fitness pressures. The independent evolution of multiple variants increases the probability that one will evolve the capacity to transmit to humans.

Figure 8

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Although understanding the positive and negative interactions between fitness in human and swine hosts is central to understanding pandemic emergence, this area of research remains poorly understood. Strong patterns of reassortment between EAsw and North American viruses in Mexican swine are an indication of competitive interactions. The apparent fitness of the TRIG + EAsw MP internal gene constellation in central Mexican swine was central to the emergence of the genotype 1 viruses that gave rise to pdmH1N1, but is not well understood. The success of genotype 1 viruses for many years in central-west Mexico is notable, given the low levels of persistence of pdmH1N1 viruses as an intact genome in swine following reverse zoonosis in many countries (Liang et al., 2014; Nelson and Vincent, 2015; Nelson et al., 2015d; Pereda et al., 2011; Watson et al., 2015), a pattern also observed in Sonora. The lower levels of onward transmission of pdmH1N1 surface genes in swine could relate to competition with existing H1s and N1s. The identification of EAsw NA and MP segments in central Mexican swine is notable, given that these segments were associated with enhanced respiratory droplet transmission in animal models (Lakdawala et al., 2011; Yen et al., 2011). The EAsw MP segment also is associated with zoonotic transmission of swIAVs at agricultural fairs in the US (Bowman et al., 2012). A number of studies have examined the transmission potential of naturally occurring or lab-generated avian and swine viruses in ferret or other animal models, as a measure of pandemic potential (Herfst et al., 2012; Sorrell et al., 2009; Yang et al., 2016). However, a fundamental understanding of fitness landscapes and trade-offs in multi-host systems has been constrained by the a lack of final resolution on the ethics of various experiments that involve novel viruses that present a potential threat to humans (Frank et al., 2016). The identification of viruses related to the 2009 pandemic precursors invites new experimental research into central questions of pandemic emergence at the human-swine interface.

The detection of EAsw in Mexico suggests that even relatively low levels of livestock movement can disseminate a highly transmissible virus such as IAV long distances, bringing attention to the importance of surveillance and mitigation strategies, including quarantine. Presently, imported live swine are not routinely tested for influenza. The emergence of the 2009 pandemic virus was closely linked to the increase in Mexico's imports of live swine during the 1990s and the influx of new influenza virus lineages from the United States and Europe. At this time we cannot rule out Asia-to-Mexico viral migration, owing to possible omissions in reported imports and exports of swine and gaps in sequencing of viruses in swine globally. However, all that is known about the nature of international swine production and trade suggests that this direction of viral movement is unlikely. Long-distance trade of pigs from Europe, the United States, and Canada to countries in Asia and South America occurs primarily to import high-efficiency European and North American breeding lines. Although illegal trade of poultry is important in the spread of AIVs, particularly within the East Asian region, there are no known economic incentives (and strong economic disincentives) for the illegal trade of pigs from Asia and Mexico. Globally, Asia is overwhelmingly a net importer of swine from Europe and North America, with extremely little export of Asian pigs or their viruses to any other continents (Nelson et al., 2015c). Another outstanding question is whether genotype 1 viruses have disseminated from Mexico to other countries in Latin America, where surveillance is low or non-existent. Mexico has reported export of live swine to several countries in Latin America (Belize, Colombia, Costa Rica, Cuba, El Salvador). However, the total volume of Mexico’s live swine exports during 1996–2012 amounts to only one-tenth of Costa Rica’s over the same time period, and one-thirtieth of Brazil’s. Mexico is therefore considered an ecological sink for swine influenza viruses, with limited opportunity for viral export to other countries (Nelson et al., 2015c).

The unexpected detection of EAsw in Mexico highlights the need to revisit outdated assumptions about the spatial distribution of IAVs in swine populations globally, given the capacity of long-distance live swine movements to disseminate viral diversity between continents. Although surveillance of swIAVs has been initiated in many new regions since 2009, it remains highly imbalanced on a global scale and low compared to avian surveillance (Nelson and Vincent, 2015). Recent detections of novel swIAVs in regions that traditionally have not conducted surveillance in swine, including Latin America and South-east Asia, underscore the importance of expanding surveillance in the large number of under-sampled regions with high densities of swine (Cappuccio et al., 2011; Nelson et al., 2015a; Ngo et al., 2012; Perera et al., 2013). China remains an important source of zoonotic influenza viruses with pandemic potential, and the identification of strong regional variations in swIAV diversity in Mexico highlights the importance of capturing swIAV diversity across China’s heterogeneous regions. Although the importance of regional live swine movements in the evolution of swIAVs in the United States has been documented (Nelson et al., 2011), many countries lack data on the intra-country movements of swine, limiting study of interactions between animal movements and regional patterns of swIAV diversity. Data on poultry movements within and between countries are similarly lacking, limiting our understanding of the role of trade in the spatial dynamics of IAVs in domestic birds. Our ability to predict future pandemics will require intensified viral surveillance and an understanding of how economic forces and international trade policies affect changes in animal movements and production practices that drive viral emergence.

1. 1. Martha I Nelson
   2. Francisco Quezada-Monroy
   3. Jayeeta Dutta
   4. Refugio Cortes-Fernández
   5. J Horacio Lara-Puente
   6. Felipa Castro-Peralta
   7. Luis F Cunha
   8. Nídia Sequeira-Trovão
   9. Bernardo Lozano-Dubernard
   10. Andrew Rambaut
   11. Harm van Bakel
   12. Adolfo García-Sastre
   13. Ignacio Mena

   (2016) Swine influenza A viruses collected in Mexico 2010-2014

   Publicly available at NCBI BioProject (Accession no: PRJNA315383).

   http://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA315383
2. 1. Ignacio Mena
   2. Martha I Nelson
   3. Francisco Quezada-Monroy
   4. Jayeeta Dutta
   5. Refugio Cortes-Fernández
   6. J Horacio Lara-Puente
   7. Felipa Castro-Peralta
   8. Luis F Cunha
   9. Nídia Sequeira-Trovão
   10. Bernardo Lozano-Dubernard
   11. Andrew Rambaut
   12. Harm van Bakel
   13. Adolfo García-Sastre

   (2016) Data from: Origins of the 2009 H1N1 influenza pandemic in swine in Mexico

   Available at Dryad Digital Repository under a CC0 Public Domain Dedication.

   http://dx.doi.org/10.5061/dryad.m550m

1. 1. Anderson TK
   2. Nelson MI
   3. Kitikoon P
   4. Swenson SL
   5. Korslund JA
   6. Vincent AL

   (2013) Population dynamics of cocirculating swine influenza A viruses in the United States from 2009 to 2012

   Influenza and Other Respiratory Viruses 7:42–51.

   https://doi.org/10.1111/irv.12193

   • Google Scholar
2. 1. Bao Y
   2. Bolotov P
   3. Dernovoy D
   4. Kiryutin B
   5. Tatusova T

   (2007) FLAN: a web server for influenza virus genome annotation

   Nucleic Acids Research 35:W280–284.

   https://doi.org/10.1093/nar/gkm354

   • Google Scholar
3. 1. Bao Y
   2. Bolotov P
   3. Dernovoy D
   4. Kiryutin B
   5. Zaslavsky L
   6. Tatusova T
   7. Ostell J
   8. Lipman D

   (2008) The influenza virus resource at the National Center for Biotechnology Information

   Journal of Virology 82:596–601.

   https://doi.org/10.1128/JVI.02005-07

   • Google Scholar
4. 1. Bowman AS
   2. Sreevatsan S
   3. Killian ML
   4. Page SL
   5. Nelson SW
   6. Nolting JM
   7. Cardona C
   8. Slemons RD

   (2012) Molecular evidence for interspecies transmission of H3N2pM/H3N2v influenza A viruses at an Ohio agricultural fair, July 2012

   Emerging Microbes & Infections 1:e33.

   https://doi.org/10.1038/emi.2012.33

   • Google Scholar
5. 1. Brockmann D
   2. Helbing D

   (2013) The hidden geometry of complex, network-driven contagion phenomena

   Science 342:1337–1342.

   https://doi.org/10.1126/science.1245200

   • Google Scholar
6. 1. Cappuccio JA
   2. Pena L
   3. Dibárbora M
   4. Rimondi A
   5. Piñeyro P
   6. Insarralde L
   7. Quiroga MA
   8. Machuca M
   9. Craig MI
   10. Olivera V
   11. Chockalingam A
   12. Perfumo CJ
   13. Perez DR
   14. Pereda A

   (2011) Outbreak of swine influenza in Argentina reveals a non-contemporary human H3N2 virus highly transmissible among pigs

   Journal of General Virology 92:2871–2878.

   https://doi.org/10.1099/vir.0.036590-0

   • Google Scholar
7. 1. Chowell G
   2. Echevarría-Zuno S
   3. Viboud C
   4. Simonsen L
   5. Tamerius J
   6. Miller MA
   7. Borja-Aburto VH

   (2011) Characterizing the epidemiology of the 2009 influenza A/H1N1 pandemic in Mexico

   PLOS Medicine 8:e1000436.

   https://doi.org/10.1371/journal.pmed.1000436

   • Google Scholar
8. 1. Dobin A
   2. Davis CA
   3. Schlesinger F
   4. Drenkow J
   5. Zaleski C
   6. Jha S
   7. Batut P
   8. Chaisson M
   9. Gingeras TR

   (2013) STAR: ultrafast universal RNA-seq aligner

   Bioinformatics 29:15–21.

   https://doi.org/10.1093/bioinformatics/bts635

   • Google Scholar
9. 1. Drummond AJ
   2. Suchard MA
   3. Xie D
   4. Rambaut A

   (2012) Bayesian phylogenetics with BEAUti and the BEAST 1.7

   Molecular Biology and Evolution 29:1969–1973.

   https://doi.org/10.1093/molbev/mss075

   • Google Scholar
10. 1. Edgar RC

    (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput

    Nucleic Acids Research 32:1792–1797.

    https://doi.org/10.1093/nar/gkh340

    • Google Scholar
11. 1. Frank GM
    2. Adalja A
    3. Barbour A
    4. Casadevall A
    5. Dormitzer PR
    6. Duchin J
    7. Hayden FG
    8. Hirsch MS
    9. Hynes NA
    10. Lipsitch M
    11. Pavia AT
    12. Relman DA

    (2016) Infectious diseases society of America and gain-of-function experiments with pathogens having pandemic potential

    Journal of Infectious Diseases 213:1359–1361.

    https://doi.org/10.1093/infdis/jiv474

    • Google Scholar
12. 1. Garten RJ
    2. Davis CT
    3. Russell CA
    4. Shu B
    5. Lindstrom S
    6. Balish A
    7. Sessions WM
    8. Xu X
    9. Skepner E
    10. Deyde V
    11. Okomo-Adhiambo M
    12. Gubareva L
    13. Barnes J
    14. Smith CB
    15. Emery SL
    16. Hillman MJ
    17. Rivailler P
    18. Smagala J
    19. de Graaf M
    20. Burke DF
    21. Fouchier RA
    22. Pappas C
    23. Alpuche-Aranda CM
    24. López-Gatell H
    25. Olivera H
    26. López I
    27. Myers CA
    28. Faix D
    29. Blair PJ
    30. Yu C
    31. Keene KM
    32. Dotson PD
    33. Boxrud D
    34. Sambol AR
    35. Abid SH
    36. St George K
    37. Bannerman T
    38. Moore AL
    39. Stringer DJ
    40. Blevins P
    41. Demmler-Harrison GJ
    42. Ginsberg M
    43. Kriner P
    44. Waterman S
    45. Smole S
    46. Guevara HF
    47. Belongia EA
    48. Clark PA
    49. Beatrice ST
    50. Donis R
    51. Katz J
    52. Finelli L
    53. Bridges CB
    54. Shaw M
    55. Jernigan DB
    56. Uyeki TM
    57. Smith DJ
    58. Klimov AI
    59. Cox NJ

    (2009) Antigenic and genetic characteristics of swine-origin 2009 A(H1N1) influenza viruses circulating in humans

    Science 325:197–201.

    https://doi.org/10.1126/science.1176225

    • Google Scholar
13. 1. Grabherr MG
    2. Haas BJ
    3. Yassour M
    4. Levin JZ
    5. Thompson DA
    6. Amit I
    7. Adiconis X
    8. Fan L
    9. Raychowdhury R
    10. Zeng Q
    11. Chen Z
    12. Mauceli E
    13. Hacohen N
    14. Gnirke A
    15. Rhind N
    16. di Palma F
    17. Birren BW
    18. Nusbaum C
    19. Lindblad-Toh K
    20. Friedman N
    21. Regev A

    (2011) Full-length transcriptome assembly from RNA-Seq data without a reference genome

    Nature Biotechnology 29:644–652.

    https://doi.org/10.1038/nbt.1883

    • Google Scholar
14. 1. Herfst S
    2. Schrauwen EJ
    3. Linster M
    4. Chutinimitkul S
    5. de Wit E
    6. Munster VJ
    7. Sorrell EM
    8. Bestebroer TM
    9. Burke DF
    10. Smith DJ
    11. Rimmelzwaan GF
    12. Osterhaus AD
    13. Fouchier RA

    (2012) Airborne transmission of influenza A/H5N1 virus between ferrets

    Science 336:1534–1541.

    https://doi.org/10.1126/science.1213362

    • Google Scholar
15. 1. Huang X
    2. Madan A

    (1999) CAP3: A DNA sequence assembly program

    Genome Research 9:868–877.

    https://doi.org/10.1101/gr.9.9.868

    • Google Scholar
16. 1. Kawaoka Y
    2. Krauss S
    3. Webster RG

    (1989)

    Avian-to-human transmission of the PB1 gene of influenza A viruses in the 1957 and 1968 pandemics

    Journal of Virology 63:4603–4608.

    • Google Scholar
17. 1. Kent WJ

    (2002) BLAT--the BLAST-like alignment tool

    Genome Research 12:656–664.

    https://doi.org/10.1101/gr.229202

    • Google Scholar
18. 1. Lakdawala SS
    2. Lamirande EW
    3. Suguitan AL
    4. Wang W
    5. Santos CP
    6. Vogel L
    7. Matsuoka Y
    8. Lindsley WG
    9. Jin H
    10. Subbarao K

    (2011) Eurasian-origin gene segments contribute to the transmissibility, aerosol release, and morphology of the 2009 pandemic H1N1 influenza virus

    PLOS Pathogens 7:e1002443.

    https://doi.org/10.1371/journal.ppat.1002443

    • Google Scholar
19. 1. Lam TT
    2. Zhu H
    3. Wang J
    4. Smith DK
    5. Holmes EC
    6. Webster RG
    7. Webby R
    8. Peiris JM
    9. Guan Y

    (2011) Reassortment events among swine influenza A viruses in China: implications for the origin of the 2009 influenza pandemic

    Journal of Virology 85:10279–10285.

    https://doi.org/10.1128/JVI.05262-11

    • Google Scholar
20. 1. Lam TT
    2. Zhou B
    3. Wang J
    4. Chai Y
    5. Shen Y
    6. Chen X
    7. Ma C
    8. Hong W
    9. Chen Y
    10. Zhang Y
    11. Duan L
    12. Chen P
    13. Jiang J
    14. Zhang Y
    15. Li L
    16. Poon LL
    17. Webby RJ
    18. Smith DK
    19. Leung GM
    20. Peiris JS
    21. Holmes EC
    22. Guan Y
    23. Zhu H

    (2015) Dissemination, divergence and establishment of H7N9 influenza viruses in China

    Nature 522:102–105.

    https://doi.org/10.1038/nature14348

    • Google Scholar
21. 1. Lemey P
    2. Suchard M
    3. Rambaut A

    (2009) Reconstructing the initial global spread of a human influenza pandemic: A Bayesian spatial-temporal model for the global spread of H1N1pdm

    PLOS Currents 1:RRN1031.

    https://doi.org/10.1371/currents.RRN1031

    • Google Scholar
22. 1. Lemey P
    2. Rambaut A
    3. Bedford T
    4. Faria N
    5. Bielejec F
    6. Baele G
    7. Russell CA
    8. Smith DJ
    9. Pybus OG
    10. Brockmann D
    11. Suchard MA

    (2014) Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2

    PLOS Pathogens 10:e1003932.

    https://doi.org/10.1371/journal.ppat.1003932

    • Google Scholar
23. 1. Li H
    2. Durbin R

    (2009) Fast and accurate short read alignment with Burrows-Wheeler transform

    Bioinformatics 25:1754–1760.

    https://doi.org/10.1093/bioinformatics/btp324

    • Google Scholar
24. 1. Liang H
    2. Lam TT
    3. Fan X
    4. Chen X
    5. Zeng Y
    6. Zhou J
    7. Duan L
    8. Tse M
    9. Chan CH
    10. Li L
    11. Leung TY
    12. Yip CH
    13. Cheung CL
    14. Zhou B
    15. Smith DK
    16. Poon LL
    17. Peiris M
    18. Guan Y
    19. Zhu H

    (2014) Expansion of genotypic diversity and establishment of 2009 H1N1 pandemic-origin internal genes in pigs in China

    Journal of Virology 88:10864–10874.

    https://doi.org/10.1128/JVI.01327-14

    • Google Scholar
25. 1. Ma W
    2. Liu Q
    3. Qiao C
    4. del Real G
    5. García-Sastre A
    6. Webby RJ
    7. Richt JA

    (2014) North American triple reassortant and Eurasian H1N1 swine influenza viruses do not readily reassort to generate a 2009 pandemic H1N1-like virus

    mBio 5:e00919-13.

    https://doi.org/10.1128/mBio.00919-13

    • Google Scholar
26. 1. Martin M

    (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads

    EMBnet.journal 17:10.

    https://doi.org/10.14806/ej.17.1.200

    • Google Scholar
27. 1. Minin VN
    2. Suchard MA

    (2008a) Counting labeled transitions in continuous-time Markov models of evolution

    Journal of Mathematical Biology 56:391–412.

    https://doi.org/10.1007/s00285-007-0120-8

    • Google Scholar
28. 1. Minin VN
    2. Suchard MA

    (2008b) Fast, accurate and simulation-free stochastic mapping

    Philosophical Transactions of the Royal Society B: Biological Sciences 363:3985–3995.

    https://doi.org/10.1098/rstb.2008.0176

    • Google Scholar
29. 1. Nelson MI
    2. Lemey P
    3. Vincent A
    4. Lam TT
    5. Detmer S
    6. Viboud C
    7. Suchard MA
    8. Rambaut A
    9. Holmes EC
    10. Gramer M

    (2011) Spatial dynamics of human-origin H1 influenza A virus in North American swine

    PLOS Path 7:e1002077.

    https://doi.org/10.1371/journal.ppat.1002077

    • Google Scholar
30. 1. Nelson MI
    2. Wentworth DE
    3. Culhane MR
    4. Vincent AL
    5. Viboud C
    6. LaPointe MP
    7. Lin X
    8. Holmes EC
    9. Detmer SE

    (2014) Introductions and evolution of human-origin seasonal influenza a viruses in multinational swine populations

    Journal of Virology 88:10110–10119.

    https://doi.org/10.1128/JVI.01080-14

    • Google Scholar
31. 1. Nelson MI
    2. Vincent AL

    (2015) Reverse zoonosis of influenza to swine: new perspectives on the human-animal interface

    Trends in Microbiology 23:142–153.

    https://doi.org/10.1016/j.tim.2014.12.002

    • Google Scholar
32. 1. Nelson M
    2. Culhane MR
    3. Rovira A
    4. Torremorell M
    5. Guerrero P
    6. Norambuena J

    (2015a) Novel human-like influenza a viruses circulate in swine in Mexico and Chile

    PLOS Currents 7:.

    https://doi.org/10.1371/currents.outbreaks.c8b3207c9bad98474eca3013fa933ca6

    • Google Scholar
33. 1. Nelson MI
    2. Schaefer R
    3. Gava D
    4. Cantão ME
    5. Ciacci-Zanella JR
    6. Rejane S

    (2015b) Influenza A viruses of human origin in swine, Brazil

    Emerg Infect Diseases 21:1339–1347.

    https://doi.org/10.3201/eid2108.141891

    • Google Scholar
34. 1. Nelson MI
    2. Viboud C
    3. Vincent AL
    4. Culhane MR
    5. Detmer SE
    6. Wentworth DE
    7. Rambaut A
    8. Suchard MA
    9. Holmes EC
    10. Lemey P

    (2015c) Global migration of influenza A viruses in swine

    Nature Communications 6:6696.

    https://doi.org/10.1038/ncomms7696

    • Google Scholar
35. 1. Nelson MI
    2. Stratton J
    3. Killian ML
    4. Janas-Martindale A
    5. Vincent AL

    (2015d) Continual reintroduction of human pandemic H1N1 influenza a viruses into swine in the United States, 2009 to 2014

    Journal of Virology 89:6218–6226.

    https://doi.org/10.1128/JVI.00459-15

    • Google Scholar
36. 1. Ngo LT
    2. Hiromoto Y
    3. Pham VP
    4. Le HTH
    5. Nguyen HT
    6. Le VT
    7. Takemae N
    8. Saito T

    (2012) Isolation of novel triple-reassortant swine H3N2 influenza viruses possessing the hemagglutinin and neuraminidase genes of a seasonal influenza virus in Vietnam in 2010

    Influenza and Other Respiratory Viruses 6:6–10.

    https://doi.org/10.1111/j.1750-2659.2011.00267.x

    • Google Scholar
37. 1. Pereda A
    2. Rimondi A
    3. Cappuccio J
    4. Sanguinetti R
    5. Angel M
    6. Ye J
    7. Sutton T
    8. Dibárbora M
    9. Olivera V
    10. Craig MI
    11. Quiroga M
    12. Machuca M
    13. Ferrero A
    14. Perfumo C
    15. Perez DR

    (2011) Evidence of reassortment of pandemic H1N1 influenza virus in swine in Argentina: are we facing the expansion of potential epicenters of influenza emergence?

    Influenza and Other Respiratory Viruses 5:409–412.

    https://doi.org/10.1111/j.1750-2659.2011.00246.x

    • Google Scholar
38. 1. Perera HK
    2. Wickramasinghe G
    3. Cheung CL
    4. Nishiura H
    5. Smith DK
    6. Poon LL
    7. Perera AK
    8. Ma SK
    9. Sunil-Chandra NP
    10. Guan Y
    11. Peiris JS

    (2013) Swine influenza in Sri Lanka

    Emerging Infectious Diseases 19:481–484.

    https://doi.org/10.3201/eid1903.120945

    • Google Scholar
39. 1. Poonsuk S
    2. Sangthong P
    3. Petcharat N
    4. Lekcharoensuk P

    (2013) Genesis and genetic constellations of swine influenza viruses in Thailand

    Veterinary Microbiology 167:314–326.

    https://doi.org/10.1016/j.vetmic.2013.09.007

    • Google Scholar
40. 1. Russell CA
    2. Jones TC
    3. Barr IG
    4. Cox NJ
    5. Garten RJ
    6. Gregory V
    7. Gust ID
    8. Hampson AW
    9. Hay AJ
    10. Hurt AC
    11. de Jong JC
    12. Kelso A
    13. Klimov AI
    14. Kageyama T
    15. Komadina N
    16. Lapedes AS
    17. Lin YP
    18. Mosterin A
    19. Obuchi M
    20. Odagiri T
    21. Osterhaus AD
    22. Rimmelzwaan GF
    23. Shaw MW
    24. Skepner E
    25. Stohr K
    26. Tashiro M
    27. Fouchier RA
    28. Smith DJ

    (2008) The global circulation of seasonal influenza A (H3N2) viruses

    Science 320:340–346.

    https://doi.org/10.1126/science.1154137

    • Google Scholar
41. 1. Smith GJ
    2. Vijaykrishna D
    3. Bahl J
    4. Lycett SJ
    5. Worobey M
    6. Pybus OG
    7. Ma SK
    8. Cheung CL
    9. Raghwani J
    10. Bhatt S
    11. Peiris JS
    12. Guan Y
    13. Rambaut A

    (2009) Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic

    Nature 459:1122–1125.

    https://doi.org/10.1038/nature08182

    • Google Scholar
42. 1. Sorrell EM
    2. Wan H
    3. Araya Y
    4. Song H
    5. Perez DR

    (2009) Minimal molecular constraints for respiratory droplet transmission of an avian-human H9N2 influenza A virus

    Proceedings of the National Academy of Sciences of the United States of America 106:7565–7570.

    https://doi.org/10.1073/pnas.0900877106

    • Google Scholar
43. 1. Stamatakis A

    (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

    Bioinformatics 22:2688–2690.

    https://doi.org/10.1093/bioinformatics/btl446

    • Google Scholar
44. 1. Suchard MA
    2. Rambaut A

    (2009) Many-core algorithms for statistical phylogenetics

    Bioinformatics 25:1370–1376.

    https://doi.org/10.1093/bioinformatics/btp244

    • Google Scholar
45. 1. Takemae N
    2. Parchariyanon S
    3. Damrongwatanapokin S
    4. Uchida Y
    5. Ruttanapumma R
    6. Watanabe C
    7. Yamaguchi S
    8. Saito T

    (2008) Genetic diversity of swine influenza viruses isolated from pigs during 2000 to 2005 in Thailand

    Influenza and Other Respiratory Viruses 2:181–189.

    https://doi.org/10.1111/j.1750-2659.2008.00062.x

    • Google Scholar
46. 1. Taubenberger JK
    2. Morens DM

    (2009) Pandemic influenza--including a risk assessment of H5N1

    Revue Scientifique Et Technique 28:187–202.

    https://doi.org/10.20506/rst.28.1.1879

    • Google Scholar
47. 1. Tinoco YO
    2. Montgomery JM
    3. Kasper MR
    4. Nelson MI
    5. Razuri H
    6. Guezala MC
    7. Azziz-Baumgartner E
    8. Widdowson M-A
    9. Barnes J
    10. Gilman RH
    11. Bausch DG
    12. Gonzalez AE

    (2016) Transmission dynamics of pandemic influenza A(H1N1)pdm09 virus in humans and swine in backyard farms in Tumbes, Peru

    Influenza and Other Respiratory Viruses 10:47–56.

    https://doi.org/10.1111/irv.12329

    • Google Scholar
48. 1. Viboud C
    2. Charu V
    3. Olson D
    4. Ballesteros S
    5. Gog J
    6. Khan F
    7. Grenfell B
    8. Simonsen L

    (2014) Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US

    PLOS ONE 9:e102429.

    https://doi.org/10.1371/journal.pone.0102429

    • Google Scholar
49. 1. Vijaykrishna D
    2. Smith GJ
    3. Pybus OG
    4. Zhu H
    5. Bhatt S
    6. Poon LL
    7. Riley S
    8. Bahl J
    9. Ma SK
    10. Cheung CL
    11. Perera RA
    12. Chen H
    13. Shortridge KF
    14. Webby RJ
    15. Webster RG
    16. Guan Y
    17. Peiris JS

    (2011) Long-term evolution and transmission dynamics of swine influenza A virus

    Nature 473:519–522.

    https://doi.org/10.1038/nature10004

    • Google Scholar
50. 1. Watson SJ
    2. Langat P
    3. Reid SM
    4. Lam TT
    5. Cotten M
    6. Kelly M
    7. Van Reeth K
    8. Qiu Y
    9. Simon G
    10. Bonin E
    11. Foni E
    12. Chiapponi C
    13. Larsen L
    14. Hjulsager C
    15. Markowska-Daniel I
    16. Urbaniak K
    17. Dürrwald R
    18. Schlegel M
    19. Huovilainen A
    20. Davidson I
    21. Dán Á
    22. Loeffen W
    23. Edwards S
    24. Bublot M
    25. Vila T
    26. Maldonado J
    27. Valls L
    28. Brown IH
    29. Pybus OG
    30. Kellam P
    31. ESNIP3 Consortium

    (2015) Molecular epidemiology and evolution of influenza viruses circulating within European swine between 2009 and 2013

    Journal of Virology 89:9920–9931.

    https://doi.org/10.1128/JVI.00840-15

    • Google Scholar
51. 1. Weinberg M
    2. Waterman S
    3. Lucas CA
    4. Falcon VC
    5. Morales PK
    6. Lopez LA
    7. Peter C
    8. Gutiérrez AE
    9. Gonzalez ER
    10. Flisser A
    11. Bryan R
    12. Valle EN
    13. Rodriguez A
    14. Hernandez GA
    15. Rosales C
    16. Ortiz JA
    17. Landen M
    18. Vilchis H
    19. Rawlings J
    20. Leal FL
    21. Ortega L
    22. Flagg E
    23. Conyer RT
    24. Cetron M

    (2003) The U.S.-Mexico Border Infectious Disease Surveillance project: establishing bi-national border surveillance

    Emerging Infectious Diseases 9:97–102.

    https://doi.org/10.3201/eid0901.020047

    • Google Scholar
52. 1. Yang H
    2. Chen Y
    3. Qiao C
    4. He X
    5. Zhou H
    6. Sun Y
    7. Yin H
    8. Meng S
    9. Liu L
    10. Zhang Q
    11. Kong H
    12. Gu C
    13. Li C
    14. Bu Z
    15. Kawaoka Y
    16. Chen H

    (2016) Prevalence, genetics, and transmissibility in ferrets of Eurasian avian-like H1N1 swine influenza viruses

    Proceedings of the National Academy of Sciences of the United States of America 113:392–397.

    https://doi.org/10.1073/pnas.1522643113

    • Google Scholar
53. 1. Yen HL
    2. Liang CH
    3. Wu CY
    4. Forrest HL
    5. Ferguson A
    6. Choy KT
    7. Jones J
    8. Wong DD
    9. Cheung PP
    10. Hsu CH
    11. Li OT
    12. Yuen KM
    13. Chan RW
    14. Poon LL
    15. Chan MC
    16. Nicholls JM
    17. Krauss S
    18. Wong CH
    19. Guan Y
    20. Webster RG
    21. Webby RJ
    22. Peiris M

    (2011) Hemagglutinin-neuraminidase balance confers respiratory-droplet transmissibility of the pandemic H1N1 influenza virus in ferrets

    Proceedings of the National Academy of Sciences of the United States of America 108:14264–14269.

    https://doi.org/10.1073/pnas.1111000108

    • Google Scholar
54. 1. Zhou NN
    2. Senne DA
    3. Landgraf JS
    4. Swenson SL
    5. Erickson G
    6. Rossow K
    7. Liu L
    8. Yoon K
    9. Krauss S
    10. Webster RG

    (1999)

    Genetic reassortment of avian, swine, and human influenza A viruses in American pigs

    Journal of Virology 73:8851–8856.

    • Google Scholar
55. 1. Zhu H
    2. Webby R
    3. Lam TT
    4. Smith DK
    5. Peiris JS
    6. Guan Y

    (2013) History of Swine influenza viruses in Asia

    Current Topics in Microbiology and Immunology 370:57–68.

    https://doi.org/10.1007/82_2011_179

    • Google Scholar

Author details

1. Ignacio Mena

   1. Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, United States
   2. Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, United States

   Contribution

   IM, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article

   Contributed equally with

   Martha I Nelson

   Competing interests

   The authors declare that no competing interests exist.

2. Martha I Nelson

   Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, United States

   Contribution

   MIN, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article

   Contributed equally with

   Ignacio Mena

   Competing interests

   The authors declare that no competing interests exist.

3. Francisco Quezada-Monroy

   Laboratorio Avi-Mex, Mexico City, Mexico

   Contribution

   FQ-M, Collected and processed samples, Contributed unpublished essential data or reagents

   Competing interests

   The authors declare that no competing interests exist.

4. Jayeeta Dutta

   Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

   Contribution

   JD, Acquisition of data, Analysis and interpretation of data

   Competing interests

   The authors declare that no competing interests exist.

5. Refugio Cortes-Fernández

   Laboratorio Avi-Mex, Mexico City, Mexico

   Contribution

   RC-F, Collected and processed samples, Contributed unpublished essential data or reagents

   Competing interests

   The authors declare that no competing interests exist.

6. J Horacio Lara-Puente

   Laboratorio Avi-Mex, Mexico City, Mexico

   Contribution

   JHL-P, Collected and processed samples, Contributed unpublished essential data or reagents

   Competing interests

   The authors declare that no competing interests exist.

7. Felipa Castro-Peralta

   Laboratorio Avi-Mex, Mexico City, Mexico

   Contribution

   FC-P, Collected and processed samples, Contributed unpublished essential data or reagents

   Competing interests

   The authors declare that no competing interests exist.

8. Luis F Cunha

   Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

   Contribution

   LFC, Acquisition of data, Analysis and interpretation of data

   Competing interests

   The authors declare that no competing interests exist.

9. Nídia S Trovão

   1. Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, United States
   2. Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, United States
   3. Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, United States
   4. Department of Microbiology and Immunology, Rega Institute, University of Leuven, Leuven, Belgium

   Contribution

   NST, Acquisition of data, Analysis and interpretation of data

   Competing interests

   The authors declare that no competing interests exist.

   "This ORCID iD identifies the author of this article:" 0000-0002-2106-1166

10. Bernardo Lozano-Dubernard

    Laboratorio Avi-Mex, Mexico City, Mexico

    Contribution

    BL-D, Collected and processed samples, Contributed unpublished essential data or reagents

    Competing interests

    The authors declare that no competing interests exist.

11. Andrew Rambaut

    1. Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, United States
    2. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
    3. Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh, United Kingdom

    Contribution

    AR, Analysis and interpretation of data, Drafting or revising the article

    Competing interests

    The authors declare that no competing interests exist.

12. Harm van Bakel

    Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

    Contribution

    HvB, Acquisition of data, Analysis and interpretation of data

    Competing interests

    The authors declare that no competing interests exist.

13. Adolfo García-Sastre

    1. Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, United States
    2. Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, United States
    3. Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, United States

    Contribution

    AG-S, Conception and design, Analysis and interpretation of data, Drafting or revising the article

    For correspondence

    adolfo.garcia-sastre@mssm.edu

    Competing interests

    The authors declare that no competing interests exist.

    "This ORCID iD identifies the author of this article:" 0000-0002-6551-1827

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