Experimental evidence for competitive growth advantage of genotype VII over VI: implications for foot-and-mouth disease virus serotype A genotype turnover in nature

Foot-and-mouth disease status in India during the second decade of the twenty-first century (2011-2020)

Foot-and-mouth disease (FMD) is a major disease of livestock in India and causes huge economic losses. The formal FMD control program started in 2003–04 in selected districts and was gradually expanded. The present study provides a descriptive review of the FMD outbreaks, prevalent serotypes, and genetic and antigenic features of the FMD virus (FMDV) that circulated in the country between 2011 and 2020. FMD outbreaks were regularly reported in cloven-hoofed domestic livestock and wildlife, with three serotypes including O, A, and Asia1. During the study period, a total of 2226 FMD outbreaks were documented and serotypes confirmed. FMDV serotype O dominated the outbreak scenario, accounting for about 92% of all outbreaks, followed by Asia1 (5% of all outbreaks) and A (3% of all outbreaks). Two major epidemics of FMD on an unprecedented scale during the years 2013 and 2018 by serotype O were recorded. The spatial distribution of FMD was characterized by a larger number of outbreaks in the southern region of the country. In an annual-scale analysis, 2020 was the year with the lowest outbreaks, and 2013 was the year with the highest. The month-scale analysis showed that outbreaks were reported throughout the year, with the highest numbers between October and March. The emergence of three major lineages (O/ME-SA/Ind2001d, O/ME-SA/Ind2001e, and O/ME-SA/Ind2018) of serotype O was observed during the period. In the cases of serotype A and Asia1, the appearance of at least one novel lineage/genetic group, including A/G-18/non-deletion/2019 and Asia1/Group-IX, was documented. While serotype A showed the advent of antigenic variants, serotypes O and Asia1 did not show any antigenic diversity. It was noticed during the course of an outbreak that animal movement contributes significantly to disease transmission. Except for 2018, when numerous FMD outbreaks were recorded, the number of annual outbreaks reported after 2016 has been lower than in the first half of the decade, probably due to mass vaccination and COVID-19 pandemic-linked movement restrictions. Even during outbreaks, disease symptoms in ruminant populations, including cattle, were found to be less severe. Regular six-monthly immunization certainly has a positive impact on the reduction of disease burden and should be followed without fail and delay, along with intensive disease surveillance.

Modeling Competitive Mixtures With the Lotka-Volterra Framework for More Complex Fitness Assessment Between Strains

With increasing resolution of microbial diversity at the genomic level, experimental and modeling frameworks that translate such diversity into phenotypes are highly needed. This is particularly important when comparing drug-resistant with drug-sensitive pathogen strains, when anticipating epidemiological implications of microbial diversity, and when designing control measures. Classical approaches quantify differences between microbial strains using the exponential growth model, and typically report a selection coefficient for the relative fitness differential between two strains. The apparent simplicity of such approaches comes with the costs of limiting the range of biological scenarios that can be captured, and biases strain fitness estimates to polarized extremes of competitive exclusion. Here, we propose a mathematical and statistical framework based on the Lotka-Volterra model, that can capture frequency-dependent competition between microbial strains within-host and upon transmission. As a proof-of-concept, the model is applied to a previously-published dataset from in-vivo competitive mixture experiments with influenza strains in ferrets (McCaw et al., 2011). We show that for the same data, our model predicts a scenario of coexistence between strains, and supports a higher bottleneck size in the range of 35–145 virions transmitted from donor to recipient host. Thanks to its simplicity and generality, such framework could be applied to other ecological scenarios of microbial competition, enabling a more complex and nuanced view of possible outcomes between two strains, beyond competitive exclusion.

The role of virulence in in vivo superinfection fitness of the vertebrate RNA virus infectious hematopoietic necrosis virus

We have developed a novel in vivo superinfection fitness assay to examine superinfection dynamics and the role of virulence in superinfection fitness. This assay involves controlled, sequential infections of a natural vertebrate host, Oncorhynchus mykiss (rainbow trout), with variants of a coevolved viral pathogen, infectious hematopoietic necrosis virus (IHNV). Intervals between infections ranged from 12 h to 7 days, and both frequency of superinfection and viral replication levels were examined. Using virus genotype pairs of equal and unequal virulence, we observed that superinfection generally occurred with decreasing frequency as the interval between exposures to each genotype increased. For both the equal-virulence and unequal-virulence genotype pairs, the frequency of superinfection in most cases was the same regardless of which genotype was used in the primary exposure. The ability to replicate in the context of superinfection also did not differ between the genotypes of equal or unequal virulence tested here. For both genotype pairs, the mean viral load of the secondary virus was significantly reduced in superinfection while primary virus replication was unaffected. Our results demonstrate, for the two genotype pairs examined, that superinfection restriction does occur for IHNV and that higher virulence did not correlate with a significant difference in superinfection fitness. To our knowledge, this is the first assay to examine the role of virulence of an RNA virus in determining superinfection fitness dynamics within a natural vertebrate host.

Viral fitness: definitions, measurement, and current insights

Viral fitness is an active area of research, with recent work involving an expanded number of human, non-human vertebrate, invertebrate, plant, and bacterial viruses. Many publications deal with RNA viruses associated with major disease emergence events, such as HIV-1, influenza virus, and Dengue virus. Study topics include drug resistance, immune escape, viral emergence, host jumps, mutation effects, quasispecies diversity, and mathematical models of viral fitness. Important recent trends include increasing use of in vivo systems to assess vertebrate virus fitness, and a broadening of research beyond replicative fitness to also investigate transmission fitness and epidemiologic fitness. This is essential for a more integrated understanding of overall viral fitness, with implications for disease management in the future.