Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Indian blackberry (Syzygium cumini L.) also known as jamun is a very important underutilized fruit crop with notable medicinal and economic value. However, its genetic improvement has been constrained by limited knowledge of the genetic diversity within existing collections. Therefore, a comprehensive characterization of genetic diversity in this species, using molecular tools, is essential to support effective germplasm management and application in breeding programs. In this investigation, a total of 32 jamun genotypes consisting of 30 seedling-origin genotypes, one improved cultivar CISH J-37 and one wild genotype (Syzygium fruitecosum) were analysed using the two gene-targeted markers, CBDP and SCoT. In total, 29 primers (22 CBDP and 7 SCoT primers) detected genetic polymorphism across the genotypes. The CBDP markers amplified a higher polymorphism percentage, 94.85% across 291 bands, than the SCoT markers, 92.75% across 69 bands. The mean PIC values for CBDP and SCoT were 0.28 and 0.31, respectively. MI values were higher for CBDP (3.21) than for SCoT (2.88). Cluster analysis using UPGMA identified six clades, which grouped genotypes into seedling-origin, improved and wild categories. The PCoA based on molecular profiling data of CBDP, SCoT and both together explained 26.65%, 38.39% and 23.22% of the variation respectively. AMOVA results revealed that 85-90% of genetic variation existed within populations. Bayesian STRUCTURE analysis grouped genotypes into two major populations confirming genetic divergence between seedling-origin, improved and wild genotypes. This study is the first to integrate CBDP and SCoT markers for genetic diversity analysis of the Indian blackberry. The results highlight the utility of these markers in genetic variation assessment and would help design germplasm conservation and breeding strategies in this crop.
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Source |
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http://dx.doi.org/10.1016/j.jgeb.2025.100468 | DOI Listing |
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