Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing

Detalhes bibliográficos
Autor(a) principal: SARZI,DEISE S.
Data de Publicação: 2019
Outros Autores: JUSTOLIN,BEATRIZ, SILVA,CLARIANE DA, LEMOS,RAFAEL P.M., STEFENON,VALDIR MARCOS
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100625
Resumo: Abstract: Eugenia uniflora L. (Myrtaceae) is a tree species widely distributed in South America suffering the effects of the exploitation of natural populations. In this study, we employed low coverage sequencing of the E. uniflora genome for mining of SSR markers. The de novo assembly generated 2,601 contigs with an average length of 1139 bp and spans 3.15 Mb. A total of 76 dimer, 33 trimer and two compound SSR loci were identified. Twelve selected SSR loci were employed to genotype 30 individuals from two natural populations. A total of 73 alleles were detected (mean A= 6.1) were observed, the mean effective number of alleles was Ae = 3.91, mean Ho was 0.23 and mean HE was 0.70). The mean Wright’s within population fixation index was FIS = 0.66 and significant deviation of HWE was observed in all loci, except one. The FST between populations equaled 0.27. The levels of genetic diversity and structure estimated with these 12 SSR markers are in accordance with data from genetics studies performed on other tree species of the Pampa biome, presenting moderate to high polymorphism and may be employed in studies of species conservation measures and breeding programs.
id ABC-1_3eb0e1bd55168a283c3d73e248c9a575
oai_identifier_str oai:scielo:S0001-37652019000100625
network_acronym_str ABC-1
network_name_str Anais da Academia Brasileira de Ciências (Online)
repository_id_str
spelling Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencingnext generation sequencingpitangapopulation geneticsSSRSurinam-cherryAbstract: Eugenia uniflora L. (Myrtaceae) is a tree species widely distributed in South America suffering the effects of the exploitation of natural populations. In this study, we employed low coverage sequencing of the E. uniflora genome for mining of SSR markers. The de novo assembly generated 2,601 contigs with an average length of 1139 bp and spans 3.15 Mb. A total of 76 dimer, 33 trimer and two compound SSR loci were identified. Twelve selected SSR loci were employed to genotype 30 individuals from two natural populations. A total of 73 alleles were detected (mean A= 6.1) were observed, the mean effective number of alleles was Ae = 3.91, mean Ho was 0.23 and mean HE was 0.70). The mean Wright’s within population fixation index was FIS = 0.66 and significant deviation of HWE was observed in all loci, except one. The FST between populations equaled 0.27. The levels of genetic diversity and structure estimated with these 12 SSR markers are in accordance with data from genetics studies performed on other tree species of the Pampa biome, presenting moderate to high polymorphism and may be employed in studies of species conservation measures and breeding programs.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100625Anais da Academia Brasileira de Ciências v.91 n.1 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180420info:eu-repo/semantics/openAccessSARZI,DEISE S.JUSTOLIN,BEATRIZSILVA,CLARIANE DALEMOS,RAFAEL P.M.STEFENON,VALDIR MARCOSeng2019-04-16T00:00:00Zoai:scielo:S0001-37652019000100625Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-04-16T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
title Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
spellingShingle Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
SARZI,DEISE S.
next generation sequencing
pitanga
population genetics
SSR
Surinam-cherry
title_short Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
title_full Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
title_fullStr Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
title_full_unstemmed Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
title_sort Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
author SARZI,DEISE S.
author_facet SARZI,DEISE S.
JUSTOLIN,BEATRIZ
SILVA,CLARIANE DA
LEMOS,RAFAEL P.M.
STEFENON,VALDIR MARCOS
author_role author
author2 JUSTOLIN,BEATRIZ
SILVA,CLARIANE DA
LEMOS,RAFAEL P.M.
STEFENON,VALDIR MARCOS
author2_role author
author
author
author
dc.contributor.author.fl_str_mv SARZI,DEISE S.
JUSTOLIN,BEATRIZ
SILVA,CLARIANE DA
LEMOS,RAFAEL P.M.
STEFENON,VALDIR MARCOS
dc.subject.por.fl_str_mv next generation sequencing
pitanga
population genetics
SSR
Surinam-cherry
topic next generation sequencing
pitanga
population genetics
SSR
Surinam-cherry
description Abstract: Eugenia uniflora L. (Myrtaceae) is a tree species widely distributed in South America suffering the effects of the exploitation of natural populations. In this study, we employed low coverage sequencing of the E. uniflora genome for mining of SSR markers. The de novo assembly generated 2,601 contigs with an average length of 1139 bp and spans 3.15 Mb. A total of 76 dimer, 33 trimer and two compound SSR loci were identified. Twelve selected SSR loci were employed to genotype 30 individuals from two natural populations. A total of 73 alleles were detected (mean A= 6.1) were observed, the mean effective number of alleles was Ae = 3.91, mean Ho was 0.23 and mean HE was 0.70). The mean Wright’s within population fixation index was FIS = 0.66 and significant deviation of HWE was observed in all loci, except one. The FST between populations equaled 0.27. The levels of genetic diversity and structure estimated with these 12 SSR markers are in accordance with data from genetics studies performed on other tree species of the Pampa biome, presenting moderate to high polymorphism and may be employed in studies of species conservation measures and breeding programs.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100625
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100625
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201920180420
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.91 n.1 2019
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
_version_ 1754302867236192256