Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Biotemas (Online) |
Texto Completo: | https://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e70282 |
Resumo: | Prosopis juliflora (Sx.) DC., commonly known as algarroba, is an adapted tree species in Brazil with animal food value and environmental value in reforestation. However, little is known about its molecular genetic diversity. Therefore, the aim of our study was to use different similarity measures based on the genetic characterization of algarroba obtained through ISSR and RGA markers in naturalized individuals in southwestern Bahia. Young leaves of 36 algarroba individuals were collected in the municipality of Itapetinga, Bahia. DNA was extracted by the 10% SDS protocol and quantified by the absorbance ratio A260/A230 and A260/A280 nm. Ten pairs of RGA and 23 primers of ISSR were used for PCR, and the amplified products were electrophoresed on 2% agarose gels for 2 h. The genotyping results (binary matrix) were used to calculate the Jaccard, Simple Matching and Sorensen Dice similarity coefficients. Finally the UPGMA clustering, Tocher optimization and PCA were performed. We observed for ISSR and RGA 205 and 68 marks, respectively, with expected heterozygosity of 0.28 and 0.21; polymorphic information content was 91.71 and 0.17% and genetic distance 8.0 and 8.53, respectively. These findings contribute to our understanding of the wide distribution and adaptation of this species in reforested areas. |
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Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indicesCaracterização molecular de Prosopis juliflora (Sw.) DC. por meio de marcadores moleculares e índices de similaridade genéticaProsopis juliflora (Sx.) DC., commonly known as algarroba, is an adapted tree species in Brazil with animal food value and environmental value in reforestation. However, little is known about its molecular genetic diversity. Therefore, the aim of our study was to use different similarity measures based on the genetic characterization of algarroba obtained through ISSR and RGA markers in naturalized individuals in southwestern Bahia. Young leaves of 36 algarroba individuals were collected in the municipality of Itapetinga, Bahia. DNA was extracted by the 10% SDS protocol and quantified by the absorbance ratio A260/A230 and A260/A280 nm. Ten pairs of RGA and 23 primers of ISSR were used for PCR, and the amplified products were electrophoresed on 2% agarose gels for 2 h. The genotyping results (binary matrix) were used to calculate the Jaccard, Simple Matching and Sorensen Dice similarity coefficients. Finally the UPGMA clustering, Tocher optimization and PCA were performed. We observed for ISSR and RGA 205 and 68 marks, respectively, with expected heterozygosity of 0.28 and 0.21; polymorphic information content was 91.71 and 0.17% and genetic distance 8.0 and 8.53, respectively. These findings contribute to our understanding of the wide distribution and adaptation of this species in reforested areas.Algaroba, Prosopis juliflora (Sx.) DC., é uma espécie arbórea adaptada no Brasil com valor alimentício animal e ambiental para reflorestamento. Porém pouco se sabe sobre sua diversidade genético-molecular. Portanto objetivou-se estudar diferentes índices de similaridade a partir de caracterizações genéticas da algaroba obtidas por meio dos marcadores ISSR e RGA em indivíduos naturalizados no sudoeste da Bahia. Folhas jovens de 36 indivíduos foram coletadas no município de Itapetinga, Bahia. O DNA foi extraído pelo método SDS 10% e quantificado pela razão de absorbância A260/A230 e A 260/A280 nm. Dez pares de RGA e 23 iniciadores ISSR foram utilizados para a reação de PCR, cujas reações foram submetidas à eletroforese em gel de agarose a 2% por 2 h. O resultado da genotipagem (matriz binária) foi utilizado para cálculo dos índices de similaridade de Jaccard, Simple Matching e Sorensen Dice. Por fim, foram realizados os agrupamentos UPGMA, otimização de Tocher e PCA. Foram observados 205 e 68 marcas polimórficas, com heterozigosidade esperada de 0,28 e 0,21; informação polimórfica de 91,71% e 0,17% e distância genética de 8,0 e 8,53 para ISSR e RGA, respectivamente. Essas informações contribuem para o entendimento da distribuição e adaptação da espécie em áreas reflorestadas.Universidade Federal de Santa Catarina2020-03-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e7028210.5007/2175-7925.2020.e70282Biotemas; v. 33 n. 1 (2020); 1-92175-79250103-1643reponame:Biotemas (Online)instname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCporhttps://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e70282/42730Copyright (c) 2020 Messulan Rodrigues Meira, Luiz Henrique Tolentino Santos, Quirlian Queite Araújo Anjos, Brenda Emilly Ferreira Santos, Leonardo de Sousa Guimarães, Carlos Bernard Moreno Cerqueira Silvainfo:eu-repo/semantics/openAccessMeira, Messulan RodriguesSantos, Luiz Henrique TolentinoAnjos, Quirlian Queite AraújoSantos, Brenda Emilly FerreiraGuimarães, Leonardo de SousaCerqueira Silva, Carlos Bernard Moreno2020-03-13T13:36:56Zoai:periodicos.ufsc.br:article/70282Revistahttp://www.biotemas.ufsc.br/index.htmPUBhttps://periodicos.ufsc.br/index.php/biotemas/oai||carlospinto@ccb.ufsc.br2175-79250103-1643opendoar:2020-03-13T13:36:56Biotemas (Online) - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices Caracterização molecular de Prosopis juliflora (Sw.) DC. por meio de marcadores moleculares e índices de similaridade genética |
title |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
spellingShingle |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices Meira, Messulan Rodrigues |
title_short |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
title_full |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
title_fullStr |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
title_full_unstemmed |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
title_sort |
Molecular characterization of Prosopis juliflora SW. DC. through molecular markers and genetic similarity indices |
author |
Meira, Messulan Rodrigues |
author_facet |
Meira, Messulan Rodrigues Santos, Luiz Henrique Tolentino Anjos, Quirlian Queite Araújo Santos, Brenda Emilly Ferreira Guimarães, Leonardo de Sousa Cerqueira Silva, Carlos Bernard Moreno |
author_role |
author |
author2 |
Santos, Luiz Henrique Tolentino Anjos, Quirlian Queite Araújo Santos, Brenda Emilly Ferreira Guimarães, Leonardo de Sousa Cerqueira Silva, Carlos Bernard Moreno |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Meira, Messulan Rodrigues Santos, Luiz Henrique Tolentino Anjos, Quirlian Queite Araújo Santos, Brenda Emilly Ferreira Guimarães, Leonardo de Sousa Cerqueira Silva, Carlos Bernard Moreno |
description |
Prosopis juliflora (Sx.) DC., commonly known as algarroba, is an adapted tree species in Brazil with animal food value and environmental value in reforestation. However, little is known about its molecular genetic diversity. Therefore, the aim of our study was to use different similarity measures based on the genetic characterization of algarroba obtained through ISSR and RGA markers in naturalized individuals in southwestern Bahia. Young leaves of 36 algarroba individuals were collected in the municipality of Itapetinga, Bahia. DNA was extracted by the 10% SDS protocol and quantified by the absorbance ratio A260/A230 and A260/A280 nm. Ten pairs of RGA and 23 primers of ISSR were used for PCR, and the amplified products were electrophoresed on 2% agarose gels for 2 h. The genotyping results (binary matrix) were used to calculate the Jaccard, Simple Matching and Sorensen Dice similarity coefficients. Finally the UPGMA clustering, Tocher optimization and PCA were performed. We observed for ISSR and RGA 205 and 68 marks, respectively, with expected heterozygosity of 0.28 and 0.21; polymorphic information content was 91.71 and 0.17% and genetic distance 8.0 and 8.53, respectively. These findings contribute to our understanding of the wide distribution and adaptation of this species in reforested areas. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e70282 10.5007/2175-7925.2020.e70282 |
url |
https://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e70282 |
identifier_str_mv |
10.5007/2175-7925.2020.e70282 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/biotemas/article/view/2175-7925.2020.e70282/42730 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina |
dc.source.none.fl_str_mv |
Biotemas; v. 33 n. 1 (2020); 1-9 2175-7925 0103-1643 reponame:Biotemas (Online) instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
instname_str |
Universidade Federal de Santa Catarina (UFSC) |
instacron_str |
UFSC |
institution |
UFSC |
reponame_str |
Biotemas (Online) |
collection |
Biotemas (Online) |
repository.name.fl_str_mv |
Biotemas (Online) - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
||carlospinto@ccb.ufsc.br |
_version_ |
1799940554521313280 |