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Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus
Genome sequence analysis of Middle East respiratory syndrome coronavirus (MERS-CoV) variants from patient specimens has revealed the evolutionary dynamics and mechanisms of pathogenesis of the virus. However, most studies have analyzed the consensus sequences of MERS-CoVs, precluding an investigatio...
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Published in: | Cold Spring Harbor molecular case studies 2016-11, Vol.2 (6), p.a001214-a001214 |
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creator | Park, Donghyun Huh, Hee Jae Kim, Yeon Jeong Son, Dae-Soon Jeon, Hyo-Jeong Im, Eu-Hyun Kim, Jong-Won Lee, Nam Yong Kang, Eun-Suk Kang, Cheol In Chung, Doo Ryeon Ahn, Jin-Hyun Peck, Kyong Ran Choi, Sun Shim Kim, Yae-Jean Ki, Chang-Seok Park, Woong-Yang |
description | Genome sequence analysis of Middle East respiratory syndrome coronavirus (MERS-CoV) variants from patient specimens has revealed the evolutionary dynamics and mechanisms of pathogenesis of the virus. However, most studies have analyzed the consensus sequences of MERS-CoVs, precluding an investigation of intrapatient heterogeneity. Here, we analyzed non-consensus sequences to characterize intrapatient heterogeneity in cases associated with the 2015 outbreak of MERS in South Korea. Deep-sequencing analysis of MERS-CoV genomes performed on specimens from eight patients revealed significant intrapatient variation; therefore, sequence heterogeneity was further analyzed using targeted deep sequencing. A total of 35 specimens from 24 patients (including a super-spreader) were sequenced to detect and analyze variants displaying intrapatient heterogeneity. Based on the analysis of non-consensus sequences, we demonstrated the intrapatient heterogeneity of MERS-CoVs, with the highest level in the super-spreader specimen. The heterogeneity could be transmitted in a close association with variation in the consensus sequences, suggesting the occurrence of multiple MERS-CoV infections. Analysis of intrapatient heterogeneity revealed a relationship between D510G and I529T mutations in the receptor-binding domain (RBD) of the viral spike glycoprotein. These two mutations have been reported to reduce the affinity of the RBD for human CD26. Notably, although the frequency of both D510G and I529T varied greatly among specimens, the combined frequency of the single mutants was consistently high (87.7% ± 1.9% on average). Concurrently, the frequency of occurrence of the wild type at the two positions was only 6.5% ± 1.7% on average, supporting the hypothesis that selection pressure exerted by the host immune response played a critical role in shaping genetic variants and their interaction in human MERS-CoVs during the outbreak. |
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However, most studies have analyzed the consensus sequences of MERS-CoVs, precluding an investigation of intrapatient heterogeneity. Here, we analyzed non-consensus sequences to characterize intrapatient heterogeneity in cases associated with the 2015 outbreak of MERS in South Korea. Deep-sequencing analysis of MERS-CoV genomes performed on specimens from eight patients revealed significant intrapatient variation; therefore, sequence heterogeneity was further analyzed using targeted deep sequencing. A total of 35 specimens from 24 patients (including a super-spreader) were sequenced to detect and analyze variants displaying intrapatient heterogeneity. Based on the analysis of non-consensus sequences, we demonstrated the intrapatient heterogeneity of MERS-CoVs, with the highest level in the super-spreader specimen. The heterogeneity could be transmitted in a close association with variation in the consensus sequences, suggesting the occurrence of multiple MERS-CoV infections. Analysis of intrapatient heterogeneity revealed a relationship between D510G and I529T mutations in the receptor-binding domain (RBD) of the viral spike glycoprotein. These two mutations have been reported to reduce the affinity of the RBD for human CD26. Notably, although the frequency of both D510G and I529T varied greatly among specimens, the combined frequency of the single mutants was consistently high (87.7% ± 1.9% on average). Concurrently, the frequency of occurrence of the wild type at the two positions was only 6.5% ± 1.7% on average, supporting the hypothesis that selection pressure exerted by the host immune response played a critical role in shaping genetic variants and their interaction in human MERS-CoVs during the outbreak.</description><identifier>ISSN: 2373-2873</identifier><identifier>ISSN: 2373-2865</identifier><identifier>EISSN: 2373-2873</identifier><identifier>DOI: 10.1101/mcs.a001214</identifier><identifier>PMID: 27900364</identifier><language>eng</language><publisher>United States: Cold Spring Harbor Laboratory Press</publisher><subject>Coronaviridae ; Coronavirus - genetics ; Coronavirus Infections - epidemiology ; Disease Outbreaks ; Female ; Genetic Heterogeneity ; Genome, Viral - genetics ; High-Throughput Nucleotide Sequencing ; Humans ; Male ; Middle East Respiratory Syndrome Coronavirus - genetics ; Middle East Respiratory Syndrome Coronavirus - metabolism ; Protein Binding ; Receptors, Virus - chemistry ; Republic of Korea - epidemiology ; Research Report ; Sequence Analysis, DNA ; Spike Glycoprotein, Coronavirus - chemistry ; Spike Glycoprotein, Coronavirus - genetics ; Whole Genome Sequencing - methods</subject><ispartof>Cold Spring Harbor molecular case studies, 2016-11, Vol.2 (6), p.a001214-a001214</ispartof><rights>2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3294-cdc0e001c4e22dff70fb47a69877e0184e23699019c3cc73611a4d133ea0063</citedby><cites>FETCH-LOGICAL-c3294-cdc0e001c4e22dff70fb47a69877e0184e23699019c3cc73611a4d133ea0063</cites><orcidid>0000-0003-2292-1372 ; 0000-0001-8999-7561</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111008/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111008/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27900364$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Park, Donghyun</creatorcontrib><creatorcontrib>Huh, Hee Jae</creatorcontrib><creatorcontrib>Kim, Yeon Jeong</creatorcontrib><creatorcontrib>Son, Dae-Soon</creatorcontrib><creatorcontrib>Jeon, Hyo-Jeong</creatorcontrib><creatorcontrib>Im, Eu-Hyun</creatorcontrib><creatorcontrib>Kim, Jong-Won</creatorcontrib><creatorcontrib>Lee, Nam Yong</creatorcontrib><creatorcontrib>Kang, Eun-Suk</creatorcontrib><creatorcontrib>Kang, Cheol In</creatorcontrib><creatorcontrib>Chung, Doo Ryeon</creatorcontrib><creatorcontrib>Ahn, Jin-Hyun</creatorcontrib><creatorcontrib>Peck, Kyong Ran</creatorcontrib><creatorcontrib>Choi, Sun Shim</creatorcontrib><creatorcontrib>Kim, Yae-Jean</creatorcontrib><creatorcontrib>Ki, Chang-Seok</creatorcontrib><creatorcontrib>Park, Woong-Yang</creatorcontrib><title>Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus</title><title>Cold Spring Harbor molecular case studies</title><addtitle>Cold Spring Harb Mol Case Stud</addtitle><description>Genome sequence analysis of Middle East respiratory syndrome coronavirus (MERS-CoV) variants from patient specimens has revealed the evolutionary dynamics and mechanisms of pathogenesis of the virus. However, most studies have analyzed the consensus sequences of MERS-CoVs, precluding an investigation of intrapatient heterogeneity. Here, we analyzed non-consensus sequences to characterize intrapatient heterogeneity in cases associated with the 2015 outbreak of MERS in South Korea. Deep-sequencing analysis of MERS-CoV genomes performed on specimens from eight patients revealed significant intrapatient variation; therefore, sequence heterogeneity was further analyzed using targeted deep sequencing. A total of 35 specimens from 24 patients (including a super-spreader) were sequenced to detect and analyze variants displaying intrapatient heterogeneity. Based on the analysis of non-consensus sequences, we demonstrated the intrapatient heterogeneity of MERS-CoVs, with the highest level in the super-spreader specimen. The heterogeneity could be transmitted in a close association with variation in the consensus sequences, suggesting the occurrence of multiple MERS-CoV infections. Analysis of intrapatient heterogeneity revealed a relationship between D510G and I529T mutations in the receptor-binding domain (RBD) of the viral spike glycoprotein. These two mutations have been reported to reduce the affinity of the RBD for human CD26. Notably, although the frequency of both D510G and I529T varied greatly among specimens, the combined frequency of the single mutants was consistently high (87.7% ± 1.9% on average). Concurrently, the frequency of occurrence of the wild type at the two positions was only 6.5% ± 1.7% on average, supporting the hypothesis that selection pressure exerted by the host immune response played a critical role in shaping genetic variants and their interaction in human MERS-CoVs during the outbreak.</description><subject>Coronaviridae</subject><subject>Coronavirus - genetics</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Disease Outbreaks</subject><subject>Female</subject><subject>Genetic Heterogeneity</subject><subject>Genome, Viral - genetics</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Male</subject><subject>Middle East Respiratory Syndrome Coronavirus - genetics</subject><subject>Middle East Respiratory Syndrome Coronavirus - metabolism</subject><subject>Protein Binding</subject><subject>Receptors, Virus - chemistry</subject><subject>Republic of Korea - epidemiology</subject><subject>Research Report</subject><subject>Sequence Analysis, DNA</subject><subject>Spike Glycoprotein, Coronavirus - chemistry</subject><subject>Spike Glycoprotein, Coronavirus - genetics</subject><subject>Whole Genome Sequencing - methods</subject><issn>2373-2873</issn><issn>2373-2865</issn><issn>2373-2873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkc1rGzEQxUVpaILjU-9Fx0CxO_rwavdSCMFtAyk5pHcha2dtlV3JlbSG_e8jYzckp5wkND-9mXmPkM8MlowB-zbYtDQAjDP5gVxxocSC10p8fHW_JPOU_kKBqqpZKf6JXHLVAIhKXpF4600_JZdo6KjzOZq9yQ59pjvMGMMWPbo80dHbcMCYaN4hHZyNAQ-hH7ML_vjzt2vbHunapEwjpr2LJoc40TT5NoYBqQ0xeHNwcUzX5KIzfcL5-ZyRpx_rP3e_Fg-PP-_vbh8WVvBGLmxrAcvQViLnbdcp6DZSmaqplUJgdXkWVdMAa6ywVomKMSNbJgQWPyoxI99PqvtxM2Br8bhbr_fRDSZOOhin31a82-ltOOgVK8ZCXQRuzgIx_BsxZT24ZLHvjccwJs3qFagaqtLxfVSuuGxAQkG_ntDiYEoRu5eJGOhjorokqs-JFvrL6yVe2P_5iWfUbZ9y</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Park, Donghyun</creator><creator>Huh, Hee Jae</creator><creator>Kim, Yeon Jeong</creator><creator>Son, Dae-Soon</creator><creator>Jeon, Hyo-Jeong</creator><creator>Im, Eu-Hyun</creator><creator>Kim, Jong-Won</creator><creator>Lee, Nam Yong</creator><creator>Kang, Eun-Suk</creator><creator>Kang, Cheol In</creator><creator>Chung, Doo Ryeon</creator><creator>Ahn, Jin-Hyun</creator><creator>Peck, Kyong Ran</creator><creator>Choi, Sun Shim</creator><creator>Kim, Yae-Jean</creator><creator>Ki, Chang-Seok</creator><creator>Park, Woong-Yang</creator><general>Cold Spring Harbor Laboratory Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>7U9</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2292-1372</orcidid><orcidid>https://orcid.org/0000-0001-8999-7561</orcidid></search><sort><creationdate>201611</creationdate><title>Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus</title><author>Park, Donghyun ; Huh, Hee Jae ; Kim, Yeon Jeong ; Son, Dae-Soon ; Jeon, Hyo-Jeong ; Im, Eu-Hyun ; Kim, Jong-Won ; Lee, Nam Yong ; Kang, Eun-Suk ; Kang, Cheol In ; Chung, Doo Ryeon ; Ahn, Jin-Hyun ; Peck, Kyong Ran ; Choi, Sun Shim ; Kim, Yae-Jean ; Ki, Chang-Seok ; Park, Woong-Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3294-cdc0e001c4e22dff70fb47a69877e0184e23699019c3cc73611a4d133ea0063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Coronaviridae</topic><topic>Coronavirus - genetics</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Disease Outbreaks</topic><topic>Female</topic><topic>Genetic Heterogeneity</topic><topic>Genome, Viral - genetics</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Male</topic><topic>Middle East Respiratory Syndrome Coronavirus - genetics</topic><topic>Middle East Respiratory Syndrome Coronavirus - metabolism</topic><topic>Protein Binding</topic><topic>Receptors, Virus - chemistry</topic><topic>Republic of Korea - epidemiology</topic><topic>Research Report</topic><topic>Sequence Analysis, DNA</topic><topic>Spike Glycoprotein, Coronavirus - chemistry</topic><topic>Spike Glycoprotein, Coronavirus - genetics</topic><topic>Whole Genome Sequencing - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Donghyun</creatorcontrib><creatorcontrib>Huh, Hee Jae</creatorcontrib><creatorcontrib>Kim, Yeon Jeong</creatorcontrib><creatorcontrib>Son, Dae-Soon</creatorcontrib><creatorcontrib>Jeon, Hyo-Jeong</creatorcontrib><creatorcontrib>Im, Eu-Hyun</creatorcontrib><creatorcontrib>Kim, Jong-Won</creatorcontrib><creatorcontrib>Lee, Nam Yong</creatorcontrib><creatorcontrib>Kang, Eun-Suk</creatorcontrib><creatorcontrib>Kang, Cheol In</creatorcontrib><creatorcontrib>Chung, Doo Ryeon</creatorcontrib><creatorcontrib>Ahn, Jin-Hyun</creatorcontrib><creatorcontrib>Peck, Kyong Ran</creatorcontrib><creatorcontrib>Choi, Sun Shim</creatorcontrib><creatorcontrib>Kim, Yae-Jean</creatorcontrib><creatorcontrib>Ki, Chang-Seok</creatorcontrib><creatorcontrib>Park, Woong-Yang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cold Spring Harbor molecular case studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Donghyun</au><au>Huh, Hee Jae</au><au>Kim, Yeon Jeong</au><au>Son, Dae-Soon</au><au>Jeon, Hyo-Jeong</au><au>Im, Eu-Hyun</au><au>Kim, Jong-Won</au><au>Lee, Nam Yong</au><au>Kang, Eun-Suk</au><au>Kang, Cheol In</au><au>Chung, Doo Ryeon</au><au>Ahn, Jin-Hyun</au><au>Peck, Kyong Ran</au><au>Choi, Sun Shim</au><au>Kim, Yae-Jean</au><au>Ki, Chang-Seok</au><au>Park, Woong-Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus</atitle><jtitle>Cold Spring Harbor molecular case studies</jtitle><addtitle>Cold Spring Harb Mol Case Stud</addtitle><date>2016-11</date><risdate>2016</risdate><volume>2</volume><issue>6</issue><spage>a001214</spage><epage>a001214</epage><pages>a001214-a001214</pages><issn>2373-2873</issn><issn>2373-2865</issn><eissn>2373-2873</eissn><abstract>Genome sequence analysis of Middle East respiratory syndrome coronavirus (MERS-CoV) variants from patient specimens has revealed the evolutionary dynamics and mechanisms of pathogenesis of the virus. However, most studies have analyzed the consensus sequences of MERS-CoVs, precluding an investigation of intrapatient heterogeneity. Here, we analyzed non-consensus sequences to characterize intrapatient heterogeneity in cases associated with the 2015 outbreak of MERS in South Korea. Deep-sequencing analysis of MERS-CoV genomes performed on specimens from eight patients revealed significant intrapatient variation; therefore, sequence heterogeneity was further analyzed using targeted deep sequencing. A total of 35 specimens from 24 patients (including a super-spreader) were sequenced to detect and analyze variants displaying intrapatient heterogeneity. Based on the analysis of non-consensus sequences, we demonstrated the intrapatient heterogeneity of MERS-CoVs, with the highest level in the super-spreader specimen. The heterogeneity could be transmitted in a close association with variation in the consensus sequences, suggesting the occurrence of multiple MERS-CoV infections. Analysis of intrapatient heterogeneity revealed a relationship between D510G and I529T mutations in the receptor-binding domain (RBD) of the viral spike glycoprotein. These two mutations have been reported to reduce the affinity of the RBD for human CD26. Notably, although the frequency of both D510G and I529T varied greatly among specimens, the combined frequency of the single mutants was consistently high (87.7% ± 1.9% on average). Concurrently, the frequency of occurrence of the wild type at the two positions was only 6.5% ± 1.7% on average, supporting the hypothesis that selection pressure exerted by the host immune response played a critical role in shaping genetic variants and their interaction in human MERS-CoVs during the outbreak.</abstract><cop>United States</cop><pub>Cold Spring Harbor Laboratory Press</pub><pmid>27900364</pmid><doi>10.1101/mcs.a001214</doi><orcidid>https://orcid.org/0000-0003-2292-1372</orcidid><orcidid>https://orcid.org/0000-0001-8999-7561</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Coronaviridae Coronavirus - genetics Coronavirus Infections - epidemiology Disease Outbreaks Female Genetic Heterogeneity Genome, Viral - genetics High-Throughput Nucleotide Sequencing Humans Male Middle East Respiratory Syndrome Coronavirus - genetics Middle East Respiratory Syndrome Coronavirus - metabolism Protein Binding Receptors, Virus - chemistry Republic of Korea - epidemiology Research Report Sequence Analysis, DNA Spike Glycoprotein, Coronavirus - chemistry Spike Glycoprotein, Coronavirus - genetics Whole Genome Sequencing - methods |
title | Analysis of intrapatient heterogeneity uncovers the microevolution of Middle East respiratory syndrome coronavirus |
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