RESEARCHTable 2. Next-generation sequencing of 25 Ebola virus isolates derived from selected patients sampled, Liberia, September 2014–February 2015Sample ID Coverage, %* No. reads Finishing category† GenBank accession no.LIBR0093 99.4 169,000 Coding complete KR006947LIBR0116 97.9 710,168 Coding complete KR006948LIBR10054 98 2,150,725 Coding complete KR006964LIBR0073 98.5 3,351,831 Coding complete KR006944LIBR0503 98.9 3,193,168 Coding complete KR006956LIBR0286 98.3 1,731,953 Coding complete KR006952LIBR0993 96.5 750,000 Standard draft KR006960LIBR0423 97.1 2,676,454 Standard draft KR006954LIBR0333 97.1 1,775,653 Standard draft KR006953LIBR10053 98 1,691,652 Standard draft KR006963LIBR0067 97 2,403,590 Standard draft KR006943LIBR0092 93.9 2,758,142 Standard draft KR006946LIBR0090 93.1 1,422,271 Standard draft KR006945LIBR1413 88.2 2,500,000 Standard draft KR006962LIBR0058 91.4 1,632,978 Standard draft KR006940LIBR0176 89.4 1,907,863 Standard draft KR006951LIBR0168 89.2 1,221,075 Standard draft KR006949LIBR0505 83.8 741,165 Standard draft KR006957LIBR1195 73.1 2,200,773 Standard draft KR006961LIBR0624 68 1,550,511 Standard draft KR006959LIBR0063 69 2,883,384 Standard draft KR006942LIBR0173 72.3 1,456,490 Standard draft KR006950LIBR0059 59.1 851,606 Standard draft KR006941LIBR0605 64.7 1,587,732 Standard draft KR006958LIBR0430 56.2 3,139,009 Standard draft KR006955*Percentage of genome bases (of 18,959 total bases) called in the consensus sequences (requires >3× coverage with base quality >20).†Categories are defined in (19).antibody cocktails targeting EBOV glycoprotein (22–26).These treatments inhibit viral replication by targeting viraltranscripts for degradation (siRNA) or by blocking translation(phosphorodiamidate morpholino oligomers), or theyacutely neutralize the virus to enable the host to mountan effective immune response (passive immunotherapy).These countermeasures were originally designed specificallyagainst sequences obtained during previous outbreaks(20,27) or were generated against their glycoproteins (e.g.,the monoclonal antibodies [mAbs] were obtained after immunizationwith Ebola virus/H.sapiens-tc/COD/1995/Kikwit-9510621[EBOV/Kik-9510621] [28]).Since the Western Africa outbreak began, at least 33viral mutations have occurred that could affect countermeasures.We previously reported 27 of these mutations(6). Twenty-six (79%) mutations induced nonsynonymouschanges to epitopes recognized by mAbs included in passiveimmunotherapy cocktails. Another 5 (15%) were locatedin published binding regions of siRNA-based therapeuticdrugs. Tekmira has adjusted its siRNAs to account for 4of these 5 changes since its initial publication (29; E.P. Thiet al., unpub. data). The final 2 mutations were located inthe published binding region of primers or probes for quantitativePCR diagnostic tests that have been used duringoutbreak control activities in Liberia: 1 change each in thebinding sites of the Kulesh-TM assay and the Kulesh-MGBassay (9). Nevertheless, reassessment of the assays at US-AMRIID has suggested that the changes will be toleratedwithout loss in sensitivity (data not shown). Changes in allEBOV/Mak sequences are considered “interoutbreak” (n =23); changes observed only in some sequences from WesternAfrica are considered “intraoutbreak” sites (n = 10, EB-OV-WA
Monitoring Ebola Virus Makona EvolutionFigure 1. A) Median-joining haplotype network constructed from a full-genome alignment of 122 clinical Ebola virus Makona (EBOV/Mak)isolates (list of isolates in online Technical Appendix 3, http://wwwnc.cdc.gov/EID/article/21/7/15-0522-Techapp3.xlsx). Each colored vertexrepresents a sampled viral haplotype, with the numbered vertices representing the centers of the 3 clusters described in (12). All sampledisolates from Liberia originated from cluster 2. The size of each vertex is relative to the number of sampled isolates, and the colors indicatecountry of origin. Hatch marks indicate the number of mutations along each edge. Because of missing data, 2,764 sites (14.6% of totalgenome) were excluded from the analysis, including 26 sites with variability among isolates (16.7% of all variable sites). B) Root-to-tipdistance correlates well with test date and estimates a rate of evolution equal to 9.17 × 10 −4 substitutions/site/year. This analysis comprises110 clinical EBOV/Mak isolates collected during March 17, 2014–January 20, 2015 (online Technical Appendix 3, isolates with dates).binding site of the siRNA viral protein (VP) 35 target (forthat particular sample, the mutation appears in an area oflow sequencing coverage depth). Thus, when these newchanges are combined with the changes observed previously(yellow in Figure 2), we can conclude that retestingseveral therapeutic drugs against isolates currently circulatingmight be necessary to determine whether any of thesemutations impact their efficacy. In particular, it is importantto reevaluate drugs that include mAb 13C6 (part ofthe ZMapp, ZMAb, and MB-003 antibody cocktails), mAb13F6 (part of MB-003), mAb 1H3 (part of ZMAb), and thesiRNA VP35 targets (Table 3, Figure 2) (6).DiscussionOur study details the establishment of a genomic sequencingand analysis center within Liberia for real-time monitoringof viral evolution. The initial sequences generatedat this facility have provided a first glimpse into EBOV/Mak evolution from the end of 2014 to the beginning of2015. Although genetically diverse, the viruses circulatingin Liberia during this period are consistent with a single introductionevent followed by diversification within Liberia.The cluster 2 haplotype from which all the sampled Liberiasequences radiate is thought to have been circulating inGuinea and Sierra Leone during late May 2014 (12). Moreover,it was the second most common sequence detectedin Sierra Leone during late May through mid-June (12).Introduction of this haplotype from either of these neighboringcountries could have resulted in the sampled diversity;however, we cannot rule out the possibility of multipleintroductions. Additional spatial and temporal samplingwithin Liberia, Guinea, and Sierra Leone will help to differentiatethese 2 scenarios.The 25 Liberia EBOV/Mak genomes included 23 nonsynonymousmutations and 1 nonsense mutation that havenot previously been seen in Western Africa (although someof these mutations have been observed in EBOV isolatesfrom previous EVD outbreaks). A nonsense mutation,which is present within 2 of the 25 sequences, is predictedto result in premature truncation (6 aa) of VP30. VP30 isan essential protein for viral transcription; it is needed forthe RNA-dependent RNA polymerase (L) to read beyonda cis-RNA element in the nucleoprotein mRNA 5′ untranslatedregion (35) and is required to reinitiate transcriptionat gene junctions (36). Moreover, VP30 phosphorylationmodulates the composition and function of the RNA synthesismachinery (37). To our knowledge, no functionaldomains have been described in the truncated region. Furthercharacterization is needed to determine whether thisor any of the other detected mutations impacted the relativefitness of the affected EBOV isolates. Within Liberia,geography showed little correlation with phylogeny; mostEmerging Infectious Diseases • www.cdc.gov/eid • Vol. 21, No. 7, July 2015 1139
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Wildlife Reservoir for Hepatitis E
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ANOTHER DIMENSIONThe Past Is Never
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LETTERSInfluenza A(H5N6)Virus Reass
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