Messulan Rodrigues Meira, L. H. Santos, Quirlian Queite Araújo Anjos, Brenda Emilly Ferreira Santos, Leonardo de Sousa Guimarães, Carlos Bernard Moreno Cerqueira Silva
{"title":"朱氏Prosopis juliflora (Sw.)的分子特征特区。通过分子标记和遗传相似性指数,对其进行分类","authors":"Messulan Rodrigues Meira, L. H. Santos, Quirlian Queite Araújo Anjos, Brenda Emilly Ferreira Santos, Leonardo de Sousa Guimarães, Carlos Bernard Moreno Cerqueira Silva","doi":"10.5007/2175-7925.2020.e70282","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":29999,"journal":{"name":"Biotemas","volume":" ","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5007/2175-7925.2020.e70282","citationCount":"1","resultStr":"{\"title\":\"Caracterização molecular de Prosopis juliflora (Sw.) DC. por meio de marcadores moleculares e índices de similaridade genética\",\"authors\":\"Messulan Rodrigues Meira, L. H. Santos, Quirlian Queite Araújo Anjos, Brenda Emilly Ferreira Santos, Leonardo de Sousa Guimarães, Carlos Bernard Moreno Cerqueira Silva\",\"doi\":\"10.5007/2175-7925.2020.e70282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":29999,\"journal\":{\"name\":\"Biotemas\",\"volume\":\" \",\"pages\":\"1-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.5007/2175-7925.2020.e70282\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotemas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5007/2175-7925.2020.e70282\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotemas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5007/2175-7925.2020.e70282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Caracterização molecular de Prosopis juliflora (Sw.) DC. por meio de marcadores moleculares e índices de similaridade genética
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.