key: cord-0913066-ymhg8mon authors: Gutierrez, B.; Castelan, H. G.; da Silva Candido, D.; Jackson, B.; Fleishon, S.; Ruis, C.; Delaye, L.; Rambaut, A.; Pybus, O.; Escalera-Zamudio, M. title: Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America date: 2021-11-21 journal: nan DOI: 10.1101/2021.11.19.21266601 sha: 85f7cc500ca941acd8cba38b39b68e9cb469579e doc_id: 913066 cord_uid: ymhg8mon Genetic recombination is an important driving force of coronavirus evolution. While some degree of virus recombination has been reported during the COVID-19 pandemic, previously detected recombinant lineages of SARS-CoV-2 have shown limited circulation and been observed only in restricted areas. Prompted by reports of unusual genetic similarities among several Pango lineages detected mainly in North and Central America, we present a detailed phylogenetic analysis of four SARS-CoV-2 lineages (B.1.627, B.1.628, B.1.631 and B.1.634) in order to investigate the possibility of virus recombination among them. Two of these lineages, B.1.628 and B.1.631, are split into two distinct clusters (here named major and minor). Our phylogenetic and recombination analyses of these lineages find well-supported phylogenetic differences between the Orf1ab region and the rest of the genome (S protein and remaining reading frames). The lineages also contain several deletions in the NSP6, Orf3a and S proteins that can augment reconstruction of reliable evolutionary histories. By reconciling the deletions and phylogenetic data, we conclude that the B.1.628 major cluster originated from a recombination event between a B.1.631 major virus and a lineage B.1.634 virus. This scenario inferred from genetic data is supported by the spatial and temporal distribution of the three lineages, which all co-circulated in the USA and Mexico during 2021, suggesting this region is where the recombination event took place. We therefore support the designation of the B.1.628 major cluster as recombinant lineage XB in the Pango nomenclature. The widespread circulation of lineage XB across multiple countries over a longer timespan than the previously designated recombinant XA lineage raises important questions regarding the role and potential effects of recombination on the evolution of SARS-CoV-2 during the ongoing COVID-19 pandemic. Virus recombination, the process by which genetic material from two genetically distinct parental lineages is combined into a viable descendant virus genome, is a common feature of sarbecovirus evolution (Boni et al, 2020) . Genomic analyses suggest that recombination events among coronaviruses circulating in non-human species occurred during the evolutionary history of SARS- CoV-2 (Zhu et al, 2020; Li et al, 2020; Lytras et al, 2021) . Signals of ongoing recombination among SARS-CoV-2 genomes assessed under a statistical framework during the COVID-19 pandemic have been reported (VanInsberghe et al., 2021) . Notably, SARS-CoV-2 genomes that are clearly recombinant have been observed at low frequencies in the UK, some of which showed evidence of forward transmission . One of these UK recombinants was designated as lineage XA, the first recombinant lineage in the Pango nomenclature system Rambaut et al., 2020) . Our understanding of the effects of genomic recombination on SARS-CoV-2 fitness and transmission dynamics are still limited, but genetic exchange has been previously associated with evolutionary adaptation in viruses under experimental conditions (e.g. Poliovirus; Xiao et al., 2016) , in individual hosts (e.g. HIV; Song et al., 2018) and in nature (e.g. human influenza viruses; Petrova & Russell, 2018) . Interestingly, a recombination event is associated with the emergence of a MERS-CoV lineage that became dominant in camels in the Middle East between 2014 and 2015 (Sabir et al., 2016) . Although few clearly recombinant SARS-CoV-2 lineages have been reported so far, our ability to detect them is likely to increase as time progresses, due to the continued genetic divergence of SARS-CoV-2 and increased cocirculation of divergent lineages. Thus, the question regarding the potential for recombination to contribute to SARS-CoV-2 evolution and adaptation remains. For virus recombination to occur, the parental lineages need to co-circulate in the same location in order to allow specific individuals to become co-infected. This scenario provides the circumstances during which chimeric genotypes can emerge, usually through molecular processes such as template switching, homologous recombination or reassortment (the latter occurring in viruses with segmented genomes; Simon-Loriere & Holmes, 2011). Coronaviruses naturally produce a variety of recombination products during natural infection, including recombinant genomes, a process mediated by the proofreading exoribonuclease (Gribble et al., 2021) . Mosaic genomes resulting from recombination can be detected through changes in sequence similarities among different regions of the virus genome relative to parental lineages. Identifying recombination between recently diverged lineages is difficult, because sequence similarities are high, and it is hard to distinguish homoplasic changes from those that are identical by descent due to inheritance from a recent shared ancestor (synapomorphic changes). In such instances, other mutations such as insertions and deletions can prove informative; specifically, deletions are highly unlikely to revert during the evolution of a single lineage. Phylogenetic methods can also provide a tractable approach to test hypotheses regarding virus recombination, as they can be used to reconstruct the separate evolutionary histories of subgenomic regions (Simon-Loriere & Holmes, 2011) . While genome regions that share the same ancestry can be easily established for segmented viruses (e.g., Orthomyxoviruses, such as influenza viruses [Holmes et al, 2005] ), the exact start and endpoints of recombinant genome regions must be inferred statistically for non-segmented viruses (Pérez-Losada et al, 2015) . Furthermore, estimating the timing and location of recombination events can be limited by uncertainty in estimates of phylogenetic node ages, although such uncertainty can be reduced by using methods that combine evolutionary information across different genome regions (e.g., Raghwani et al, 2012) . As SARS-CoV-2 circulates around the world, new lineages emerge and are tracked using the Pango dynamic hierarchical nomenclature system . During late 2020 and early 2021, a series of lineages descending from B.1 were first detected in North and Central America. Specifically, lineages B.1.627, B.1.628, B.1.631 and B.1.634 were detected by the national genomic surveillance programs in the United States of America, Mexico and other countries in the Americas and their genomes shared publicly on the GISAID database (Shu & McCauley, 2017) . Genomic similarities among these and other lineages circulating in the region and elsewhere prompted the suggestion that recombination had occurred during their emergence and spread (this hypothesis was initially proposed and discussed on the Pango GitHub website: https://github.com/cov-lineages/pango-designation/issues/189). Here, we present an analysis of the spread and evolution of these four lineages and investigate the possibility that one or more recombination events contributed to their evolution. Our results provide evidence supporting a recombinant origin for lineage B.1.628 and its designation as a distinct recombinant lineage that presented forward transmission, circulating in multiple countries. We retrieved all complete SARS-CoV-2 genome sequences assigned to Pango lineages B.1.627, B.1.628, B.1.631 and B.1.634 as of August 30 2021 from GISAID (Shu & McCauley, 2017) . Accompanying sequence metadata, including sampling locations (at different geographic resolutions) and dates of sample collection and submission were also retrieved. This complete data set included 1950 sequences that were subsequently filtered to exclude all sequences for which >10% of sites were ambiguous (i.e., had nucleotide states N or X). The final data set, comprising 1055 genome sequences, was used for all phylogenetic analyses. The original complete data set (n=1950) was used in part to explore the spatio-temporal distribution of the four Pango lineages under investigation. After adding the reference SARS-CoV-2 genome Hu-1 (GenBank accession MN908947.3; Wu et al 2020) to the filtered data sets, the sequences were aligned using MAFFT v7.487 (Katoh & Standley, 2013) . The resulting alignments were inspected visually to identify deletions >1nt in length and which were shared by all or most of the sequences assigned to one or more of the lineages under investigation; these deletions were removed from the alignment and encoded as discrete sequence traits, which were later mapped onto estimated phylogenetic trees (see Results). The Pango lineage assignment of the sequences in our final data set was determined using Pangolin v.3.1.11 ; all lineages originally assigned on GISAID were confirmed. To further explore the phylogenetic structure of our data, we constructed a maximum likelihood (ML) phylogenetic tree using IQtree (Minh et al., 2020) under a GTR+G substitution model. We estimated node support values using the Shimodaira-Hasegawa (SH) approximate Likelihood Ratio test (SH-aLRT; Guindon et al., 2010) , with 1000 replicates, and 1000 bootstrap replicates. Pairwise genetic distances across the length of the genome of basal sequences for each of the lineages under investigation and the reference Wuhan-Hu-1 genome were estimated using custom scripts (available at https://github.com/BernardoGG/XB_lineage_investigation), based on the ape package in R (Paradis & Schliep, 2019) . One sequence was selected per lineage, and in cases where multiple important clades were identified within single Pango lineage one basal sequence from each of these clades was included. Raw genome-wide distances were estimated for 500-nucleotide segments, and a sliding window approach was used to estimate these distances across segments that overlapped every 20 nucleotides. Recombination tests are computationally demanding for large data sets. To address this, we further subsampled the alignment to include one sequence per country per Pango lineage per day (script available at https://github.com/BernardoGG/XB_lineage_investigation), resulting in a downsized set of 716 whole genome sequences. To evaluate recombination patterns in our data, we further reduced the downsized data set by randomly sampling 200 sequences from the four lineages under investigation. This reduced data set was then analysed using GARD (Kosakovsky Pond et al, 2006a) , a tool that uses a genetic algorithm to search for one or more putative breakpoints in a multiple sequence alignment; the best supported number of nonrecombinant fragments in the alignment is then evaluated by comparing the Akaike Information Criterion (AICc) of the proposed models versus a null model (i.e., no recombination points, such that a single tree topology best explains the sequence alignment). The phylogenetic topological incongruencies of potential non-recombinant fragments can be evaluated to identify lineages involved in the recombination event (Kosakovsky Pond et al, 2006b) . Given the possibility that a single phylogeny of the complete genome alignment does not explain the evolutionary history of our sequences, we partitioned the alignment using the inferred breakpoints from GARD (derived from the analysis of the 200-sequence data set). ML trees for each genome partition were then estimated with IQtree as described previously. We identified four key deletions amongst our sequences under investigation: two deletions in the NSP6 gene (Orf1ab) and two deletions in Orf3a (see Results). NSP6 deletions occur at two adjacent locations (here called ΔR1 and ΔR2) and don't result in changes in the reading frame. Orf3a deletions occur on a single locus and take the form of either a single-nucleotide frameshift deletion (ΔFS2) or a 4-nucleotide frameshift deletion (ΔFS4). These deletions were coded as discrete characters, assigned to individual tree tips and reconstructed at internal nodes using a parsimony criterion, thereby visualising the history of their occurrence across the phylogenies; these patterns have to reconcile with the proposed recombination events. Our rationale is that the individual evolutionary histories of each of the putative non-recombinant fragments should also parsimoniously explain the occurrence of deletions observed in NSP6, S and ORF3a, under the assumption that deletions do not revert once they occur in a lineage. Our rationale also draws from the premise that these deletions are more likely to descend from single occurrences within the evolution of each lineage but are not restricted to have occurred just once across the whole phylogeny. Specifically, some of these deletions have been observed previously in other lineages and variants of concern, including the NSP6 deletions observed in B.1.1.7, P.1 and B.1.351 (Meng et al., 2021) . The genomic position where a given deletion occurs (relative to the inferred recombination breakpoints) was used to determine which genome partition most likely represents the true evolutionary history of that deletion. Loci where the deletion was flanked by ambiguities were differentially labelled with an asterisk (*). Our phylogenetic analyses showed that lineages B.1.628 and B.1.631 are split into two groups each. B.1.628 contains a cluster of sequences that fall near the root of the phylogenies and are henceforth identified as B.1.628 minor, and a large more derived monophyletic clade henceforth identified as B.1.628 major. B.1.631 is split into a small cluster of sequences that consistently cluster near the tree backbone in both genome segments and is henceforth identified as B.1.631 minor, and a larger monophyletic clade here called B.1.631 major. To explore the topological discrepancies between the lineages under investigation in the absence of B.1.631 minor (see Results for an explanation of why this cluster was excluded), we randomly sampled five sequences from each of the lineages under investigation (B.1.627, B.1.628 major, B.1.628 minor, B.1.631 major and B.1.634), with five random sequences from the B.1.1.7 lineage (i.e. Alpha variant of concern, VOC) and five random sequences from the B.1.351 lineage (i.e. Beta VOC); this was performed in order to explore the congruency of the diversification patterns of the lineages under investigation in context of the B.1 lineage. Five additional random sequences from lineage A.2.5 were also included to represent the Pango A lineage and to provide an outgroup for tree rooting. All sequences from the B.1.1.7, B.1.351 and A.2.5 lineages were obtained from GISAID; they had sampling dates that spanned the time when these lineages were observed to circulate and were predominantly from locations in North and Central America. We performed GARD analyses and constructed ML phylogenetic trees from this data set as previously described. We estimated node support for the phylogenetic analyses using 1000 bootstrap replicates, and nodes with >50% node support were collapsed into polytomies. Finally, we used the snipit software (https://github.com/aineniamh/snipit) to explore the distribution of single nucleotide polymorphisms (SNPs) across the genome of potential recombinant and parental lineages. SNPs were identified and visualised in reference to the Wuhan Hu-1 genome sequence. Distribution of lineages B.1.627, B.1.628, B.1.631 and B.1.634 We noted the spatiotemporal distribution of a total of 1950 sequences for lineages B.1.627 (n = 252), B.1.628 (n = 1391), B.1.631 (n = 181) and B.1.634 (n = 126). Sequences from the four lineages were collected between July 8 2020 and August 18 2021 (Table 1) , however the majority were sampled in 2021 ( Fig 1A) . All four lineages were predominantly sampled in North America (89.5% of sequences), either in the United States of America (USA) or Mexico. B.1.627 and B.1.631 were mostly sampled in the USA whereas B.1.634 was commonly found in Mexico ( Fig 1B) . Lineage B.1.628 is the most geographically widespread lineage in our data set: it has been identified in 41 different USA states and in 31 Mexico states (all other lineages were identified in 10-21 USA states and in 15-17 Mexico states; Fig 1C) . B.1.628 is also the most widely sampled through time, with 406 days between the earliest and most recent sample collection date (compared to B.1.627 = 212 days, B.1.631 = 232 days, B.1.634 = 160 days). B.1.628 was sampled in the USA during the entirety of this sampling period, while only sampled for a period of 185 days in Mexico. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; Table 1 . Summary of sequences from four SARS-CoV-2 lineages associated with potential recombination (percentages shown in reference to the complete number of sequences in our data set Fig S1) . The presence of these phylogenetic clusters that don't match the Pango lineage definitions warrants further investigation, with recombination as a possible explanatory factor. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; Our results indicate that recombination is likely to have occurred in our data set. The GARD analysis suggests that a single breakpoint in the alignment can explain the data (Fig 2A) , with high support for a model incorporating this recombination event (Δc-AICnull model = 202.176). The breakpoint is inferred by GARD to have occurred around position 21308 (a TTT codon), corresponding to the signal peptide region at the N-terminus of the spike protein (18 nucleotides downstream of the canonical sarbecovirus transcription regulatory sequence AACGAAC; Yang et al., 2021) . However, some variation in the results is observed when using different subsampling approaches; an analysis that excludes the B.1.634 lineage indicates a recombination breakpoint is inferred position 22775-22778 (at a GAT codon) in the Spike protein reading frame (Δc-AICnull model = 562.098), corresponding to amino acid residue 390D located in the core region of the receptor binding domain (RBD) adjacent to beta sheet 3 (β3; Lan et al., 2020) . For either scenario, the receptor binding motif (RBM) which includes the . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The recombination analysis outcome also results in the placement of the NSP6 deletions on one side of the breakpoint, and the Orf3a deletions on the other side of the breakpoint (Fig 2A, 2B) . The NSP6 region contains two non-overlapping deletions: a 3-nucleotide deletion (ΔR1) and a 6-nucleotide deletion (ΔR2) which are 2 nucleotides apart, but do not derivate in frame shifts downstream (Fig 2B) . The Orf3a displays two overlapping frameshift deletions: a singlenucleotide deletion (FS1) and a 4-nucleotide deletion (FS4) which overlap on the fourth position of FS4. Both deletions lead to the same early TAA/UAA termination codon, six nucleotides downstream of the FS1/FS4 locus (Fig 2B) . Given the inferred recombination breakpoint close to the start of the S reading frame (Fig 2A) , we estimated separate phylogenetic trees for Orf1ab and for the remainder of the genome (including S and the remaining structural and non-structural genes, henceforth referred to as the S-3' region). The phylogenies show topological discrepancies which coincide mostly with individual Pango lineages (Fig 3) . Both phylogenies (rooted on the Hu-1 reference genome) . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; show a poorly resolved early split, with Orf1ab showing a bifurcation into two monophyletic groups containingB.1.628 minor and B.1.631 minor basal sequences. On the other hand, the phylogeny for the S-3' region places the B.1.628 minor sequences as a paraphyletic group from which B.1.634 descends (SH-aLRT = 91.9), whilst B.1.631 minor is a predecessor of the B.1.627, the B.1.628 major and the B.1.631 major lineages (SH-aLRT = 79.7). On the Orf1ab phylogeny, lineages B.1.627 and B.1.631 major share a common ancestor (SH-aLRT = 86.5), while the S-3' tree shows them as being paraphyletic. Lineage B.1.634 is consistently inferred as monophyletic in both trees; in the Orf1ab tree it descends from B.1.631 minor, and in the S-3' tree from B.1.628 minor. The nodes defining lineages are generally well supported (SH-aLRT > 70.0), except for the basal nodes for the early bifurcation in both trees; statistical support within each lineage showed a combination of unsupported short branches (SH-aLRT = 0.0) and nodes with high support values (SH-aLRT > 75.0). Individual phylogenies were constructed for the 5' and 3' end of the genome, split at the inferred breakpoint, resulting in trees that represent the evolutionary histories of Orf1ab (left panel) and the S gene plus the remaining structural and non-structural genes † (here referred to as S-3', right panel). The individually designated Pango lineage for each sequence is highlighted (the consensus identifier for each clade is also shown), and SH-aLRT node support is shown for key lineage defining nodes on both phylogenies. Deletions occurring on each genome segment (ΔNSP6 on Orf1ab and ΔOrf3a on S-3') are mapped onto the tips of the trees. †Other genes: S, E, M, N, Orf3a, Orf3b, Orf6, Orf7a, Orf7b, Orf8, Orf9b, Orf9c and Orf10. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10.1101/2021.11.19.21266601 doi: medRxiv preprint To further explore the genetic divergence of these lineages and the sequences placed near the root of the trees (specifically, B.1.631 minor and B.1.628 minor), we estimated the pairwise genetic distances across the genomes of representative sequences (basal to the main clades) in reference to the Hu-1 reference genome (Fig S2) . While mutations have accumulated in all lineages, the Orf1ab region of B.1.631 minor shows the lowest divergence from Hu-1; all clades display peak genetic divergence between positions ~21000 and ~23000, with the exception of B.1.628 major which diverges from Hu-1 homogeneously across its genome. Given the genome-wide divergence observed for B.1.631 minor (particularly the unusually high similarities to Hu-1 in the Orf1ab region) and its limited spatiotemporal distribution (i.e. all sequences are from Turkey as opposed to the majority of the sequences that were observed in North and Central America), we excluded this group from further analyses. In particular, the fact that it was not observed anywhere in the Americas suggests that it would not have circulated in the same geographical region, a necessary condition for recombination to occur. In the absence of this cluster, we explored the evolutionary history of the remaining lineages in relation to other lineages that descend from B.1. A phylogenetic analysis including a sample from each lineage under investigation, B.1.1.7 (VOC Alpha) and B.1.351 (VOC Beta) consistently shows that B.1.627, B.1.628 major, B.1.631 major, and B.1.634 group into wellsupported monophyletic groups (bootstrap support >93%) for both the Orf1ab (Fig S3) and the S-3' (Fig S4) Fig S3) ; this pattern is also observed in the full phylogeny (Fig 3) . The S-3' tree shows that B.1.628 major and B.1.631 major share a common ancestor (bootstrap support = 95%) which in turn descend from a common ancestor with B.1.627 (bootstrap support = 99%), while B.1.634 emerges independently from the B.1 background ( Fig S4) ; once again, the pattern is mirrored by the full S-3' phylogeny (Fig 3) . Reconciling the occurrence of the NSP6 and Orf3a deletions with the reconstruction of the evolutionary histories of these lineages for both genome segments is possible, as none of the NSP6 deletions occurred simultaneously on the same sequence, and the overlapping nature of the Orf3a deletions (i.e., FS1 is contained within FS4) make it possible to encode ΔR1, ΔR2, FS1 and FS4 as unique traits and to map them to the phylogenetic trees (Fig 3) . A third deletion, Δ69-70 on the S protein (also observed in previous VOCs and VOIs; REF**), was exclusive to B.1.634 and therefore not used as an informative marker. From the Orf1ab tree, ΔR1 is shared between B.1.627 and B.1.631 major, while ΔR2 is shared by B.1.631 minor, B.1.628 major and B.1.634. The most parsimonious explanation for this deletion pattern would suggest that ΔR1 occurred once (and predates the ancestral form of the Orf1ab of the B.1.627 and the B.1.631 major lineages) and that ΔR2 occurred once (predating the ancestral form of the Orf1ab for the B. 1.628 major and B.1.634 lineages) . Similarly, the two distinct frameshift deletions in Orf3a appear to have occurred independently: FS1 occurred once in the ancestral form of lineage B.1.634, and FS4 occurred at least once in the ancestral form of B.1.631 major, B.1.628 major and B.1.627 (Fig 3; Fig 4, upper panel) . A considerable number of B.1.628 minor sequences in both trees share the "wild-type" trait (i.e., no deletion) with the Hu-1 reference genome, further suggesting that this group of sequences belongs to either B.1 or a different B.1.X lineage. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; 1.627, B.1.628 major, B.1.631 major and B.1.634 Mapping the deletions to a phylogenetic tree inferred for the whole genome and for the complete data set results in these appearing as homoplasic events that require repeated occurrence; specifically, FS4 would have had to occur twice (once in the branch leading to B.1.627 and B.1.631 major and once in B.1.628 major; Fig S5) . Therefore, the most parsimonious model that reconciles the minimum required number of deletions and the phylogenetic incongruencies between the evolutionary histories of both non-recombinant genome segments results in B.1.628 major having descended from a recombinant event. It inherited the Orf1ab segment (carrying the ΔR1 deletion on NSP6) from the lineage leading to B.1.634, and the S-3' segment (carrying the FS4 deletion on Orf3a) from the lineage leading to B.1.631 major (Fig 4) . Visualising the SNPs of these lineages shows that B.1.628 major shares at least 6 polymorphisms with B.1.631 major in the first ~17000 nucleotides of the genome and at least 9 polymorphisms with B.1.634 in the final ~8000 nucleotides of the genome; no polymorphisms are shared between B.1.628 major and B.1.631 major along the 3' . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10. 1101 end of the genome, while no polymorphisms are shared between B.1.628 major and B.1.634 along the 5' end (Fig 5) . Genomic recombination has been widely described across sarbecoviruses in general (Boni et al., 2020) and has been identified as an important driver in the evolution of the lineage leading to the emergence of SARS-CoV-2 (Li et al., 2020; Lytras et al., 2021) . More recently, recombination between the B.1.1.7 and B.1.177 lineages has been observed in the United Kingdom leading to a limited number of circulating genomes and to their designation as lineage XA, the first recombinant SARS-CoV-2 lineage under the Pango nomenclature . However, no major circulating recombinant lineages spanning wider spatiotemporal distributions -across multiple countries -have been described to date. In the current work we investigate the evolutionary histories of four distinct but unusually similar SARS-CoV-2 Pango lineages circulating predominantly in the USA and Mexico and test the hypothesis that a recombination event led to the emergence of at least one of these lineages. A model can be proposed that resolves the phylogenetic incongruencies and deletion events among these lineages, in which B.1.628 major originated from a single recombination event (Fig 4) . The early identification of this lineage in the USA and Mexico and its widespread circulation elsewhere represents a notable event in the COVID-19 pandemic, as no previously recognised recombinant lineages have been reported to spread across country borders and to increase in frequency at the rate observed here. Following our results, the Pango Network committee has decided that lineage B.1.628 major will be designated as lineage XB, making it the second recombinant lineage in the nomenclature system. A necessary condition for the emergence of recombinant viruses is the co-circulation of its parental lineages, as viral recombination necessarily occurs during co-infection events of a single host (Simon-Loriere & Holmes, 2011) . This condition is generally observed for the four lineages under investigation, predominantly detected in the USA and Mexico (where overlapping temporal distributions suggests co-circulation), as well as in other countries in Central America (Fig 1, Table 1 ). The substantial number of sequences and spatiotemporal distribution of B.1.628 major might normally be interpreted as evidence of an earlier emergence compared to B.1.627, B.1.631 and B.1.634 . However, sampling intensity and the relative frequency of different lineages in the region require careful consideration (Kraemer et is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10.1101 https://doi.org/10. /2021 https://doi.org/10. .11.19.21266601 doi: medRxiv preprint al., 2021 , particularly given the considerable disparities in sampling intensity in the context of genomic surveillance (Brito et al., 2021) . B.1.627 and B.1.628 major were the first lineages to be detected and were particularly frequent in the USA (amongst these four lineages). Both increased in frequency in the USA between January and May 2021; whilst detection of B.1.627 declined to low levels by May, B.1.628 exhibited a second peak in detection in the USA in July 2021 (Fig 1; Fig S6) . Mexico reported sequences, predominantly of B.1.628 major and B.1.634, from May to July (Fig 1; Fig S7) , coinciding with the start of a systematic, nationwide genomic surveillance programme under the CoVi-Gen Mex Consortium on May 11 2021 (CONACYT, 2021) . Given the differences in genome sampling and sequencing intensity between the two countries during the months preceding the detection of these lineages (6.3% of confirmed cases were sequenced in the USA during the last week of March 2021, compared to 1.6% for Mexico; Brito et al., 2021) , it is likely that early cases of the B.1.628 major were not detected by genomic surveillance. However, the regional distribution of the lineages does suggest the recombinant lineage emerged in North America between late 2020 and early 2021. Both minor clusters identified for B.1.628 and B.1.631 fail to display the monophyly condition which defines the Pango nomenclature . The phylogenetically distinct B.1.631 minor cluster was exclusively sampled in Turkey between late June and early August. Its spatiotemporal features and phylogenetic placement (Fig 3) and its distinct genome-wide divergence to the reference genome ( Fig S2) warrants further investigation. However, its relevance in the evolution of the remaining lineages appears inconsequential. The inferred recombination breakpoint is located near the start of the S protein reading frame, generally coinciding with previously described recombination hotspots for other coronaviruses (Sabir et al., 2016; Yang et al., 2021) and for SARS-CoV-2 (Boni et al., 2020; Jackson et al., 2021; Li et al., 2020; Lytras et al., 2021) . However, the exact location of the breakpoint differs depending on the exact data set and method used. The two inferred breakpoints from our data sets (i.e., leading to lineage XB) are biologically relevant, located on the S protein signal peptide or on the RBD. A breakpoint on the S protein signal peptide would produce a viral genome in which each reading frame is inherited from one of the two parental lines in its entirety, while a breakpoint on the RBD would result in a chimeric S protein. This latter possibility remains plausible given that the breakpoint would not disrupt major functional features of the protein (such as the trimeric ACE2-binding interface) and that sequence divergence remains low between these closely related lineages. Another interesting observation is that the canonical sarbecovirus transcription regulatory sequence (TRS), a 7-nucleotide sequence that regulates the viral protein expression during cell infection (Yang et al., 2021) , is located 18 nucleotides upstream of the GARD breakpoint obtained with the full data set. The TRS is also associated with viral genome replication, providing a possible mechanism driving recombination at this particular breakpoint (Yang et al., 2021) . From an inferential standpoint, given the uncertainty regarding the precise location of the recombination breakpoint, exploring the individual phylogenetic tree of Orf1ab independently from the phylogeny for the remainder of the genome should adequately explain the complete evolutionary history of the lineages under investigation. While our model for the recombinant origin of B.1.628 major reconciles the deletion and phylogenetic patterns observed in the genomic data, it still doesn't resolve all differences between the tree topologies for the Orf1ab and S-3' regions; for example, individual sequences with no deletions are occasionally found in clusters/lineage that are characterised by those . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; deletions. If these sequences are correct, then that would imply repeated reversion of the deletion; this is thought to be highly unlikely as there are no known mechanisms by which a specific combination of nucleotides (i.e., the ancestral sequence) would be inserted into a site where a deletion previously occurred. The insertion of predictable short sequences has only been generally described for specific genetic elements (Sehn, 2015) . We therefore conclude that these apparent reversions are more likely artifacts deriving from sequencing or assembly errors; this would be consistent with the presence of genome sequences in our data set where the deletion site falls among highly ambiguous positions (https://virological.org/t/issues-withsars-cov-2-sequencing-data/473/12). We find that B.1.628 major arose from a recombination event between the B.1.631 major clade and lineage B.1.634, prompting its designation as a recombinant lineage under the Pango nomenclature convention. We also recommend that the group of sequences identified here as B.1.628 minor should be revisited, and potentially designated as lineage B.1. At the time of writing, the dominance of lineage B.1.617.2 (VOC Delta) appears unchallenged at a global scale, yet the remarkable expansion of B.1.628 during early-and mid-2021 highlights the viability of a recombinant SARS-CoV-2 lineage and delineates yet another key function of active genomic surveillance programmes. Our findings also emphasise the importance of further investigating the recombination rate and potential of the virus, and of exploring the drivers of such evolutionary processes. Figure S1 . Maximum likelihood phylogenetic analyses of the complete SARS-CoV-2 genome for the four lineages. The individually designated PANGO lineage for each sequence is highlighted (the predominant lineage for sections of the tree shown), and SH-aLRT node support is shown for key lineage defining nodes on both phylogenies. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10.1101/2021.11.19.21266601 doi: medRxiv preprint Figure S2 . Genetic distance plots across the SARS-CoV-2 genome between the main SARS-CoV-2 phylogenetic clusters amongst the four lineages under investigation and the reference Wuhan Hu-1. Raw genetic distances between basal sequences for each of the monophyletic groups identified in the phylogenetic analyses and the 2019 Wuhan Hu-1 reference genome (MN908947.3). Distances were estimated from genomic segments of 500 nucleotides in length, overlapping over 20-nucleotide intervals. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; Figure S4 . Maximum likelihood phylogenetic tree for the S-3' genome segment of a selection of sequences of lineages under investigation B.1.627 (green), B.1.628 minor (light blue), B.1.628 major (dark blue), B.1.631 (purple) and B.1.634 (red) in relation to B.1.1.7 (VOC Alpha, dark grey) and B.1.351 (VOC Beta, fark grey). Node support is shown from 1000 bootstrap replicates, nodes with support <50% are collapsed into polytomies. The tree is rooted in reference to lineage A.2.5. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10. 1101 is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10.1101/2021.11.19.21266601 doi: medRxiv preprint is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10.1101/2021.11.19.21266601 doi: medRxiv preprint is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted November 21, 2021. ; https://doi.org/10. 1101 Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic Global disparities in SARS-CoV-2 genomic surveillance Programa de Vigilancia Genómica del SARS-CoV-2 realizado por el CoViGen-Mex. 2 The coronavirus proofreading exoribonuclease mediates extensive viral recombination New algorithms and methods to estimate maximum-likelihood phylogenies: Assessing the performance of PhyML 3.0 Generation and transmission of interlineage recombinants in the SARS-CoV-2 pandemic Data curation during a pandemic and lessons learned from COVID-19 Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor Emergence of SARS-CoV-2 through recombination and strong purifying selection Exploring the natural origins of SARS-CoV-2 in the light of recombination Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool Ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R The evolution of seasonal influenza viruses A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology Co-circulation of three camel coronavirus species and recombination of MERS-CoVs in Saudi Arabia Insertions and Deletions (Indels) GISAID: Global initiative on sharing all influenza datafrom vision to reality Why do RNA viruses recombine? Tracking HIV-1 recombination to resolve its contribution to HIV-1 evolution in natural infection Recombinant SARS-CoV-2 Genomes Circulated at Low Levels Over The First Year of The Pandemic RNA Recombination Enhances Adaptability and Is Required for Virus Spread and Virulence Characterizing Transcriptional Regulatory Sequences in Coronaviruses and Their Role in Recombination We would like to thank @babarlelephant for the insightful contributions to the discussions on the topic on Twitter and the cov-lineages/pango-designation GitHub account (issue #189: https://github.com/cov-lineages/pango-designation/issues/189). We also thank all laboratories and institutions involved in the generation of virus genome data publicly shared on GISAID. This work was supported through the "Vigilancia Genómica del Virus SARS-CoV-2 en México" grant from the National Council for Science and Technology-México (CONACyT), by the Leverhulme Trust ECR Fellowship ECF-2019-542, the Secretariat for Higher Education, Science, Technology, and Innovation of the Republic of Ecuador, and the Oxford Martin School. lineage in North America Bernardo Gutierrez 1,2,3 , Hugo Gildardo Castelán Sánchez 1,2,4 , Darlan Cândido da Silva 1,5 , Ben Jackson 6 , Shay Fleishon 7 , Christopher Ruis 8,9 , Luis José Delaye Arredondo 2,10 , Andrew Rambaut 6 , Oliver G. Pybus 1,11, *, Marina Escalera-Zamudio 1,2, *