Discovery and characterization of SSR markers in Eugenia uniflora L. (Myrtaceae) using low coverage genome sequencing
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , |
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 |