Establishment of a Core Collection of Traditional Cuban Theobroma cacao Plants for Conservation and Utilization Purposes

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• 作者：Igor Bidot Martínez ; Marlyn Valdés de la Cruz…
• 关键词：Genetic diversity ; Morphological diversity ; Relic cacao ; SSR markers ; Sampling strategies
• 刊名：Plant Molecular Biology Reporter
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：35
• 期：1
• 页码：47-60
• 全文大小：
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Plant Sciences; Plant Breeding/Biotechnology; Proteomics; Metabolomics; Bioinformatics;
• 出版者：Springer US
• ISSN：1572-9818
• 卷排序：35

文摘

Presently, Theobroma cacao L. (cacao) in Cuba is mainly cultivated in the eastern region where plantations comprise a mixture of clonal varieties, hybrids, progeny of Trinidad Selected Hybrids, and traditional—also known as ancient—cacao. The ancient genetic resources, probably the plants most closely related to the original introductions, are endangered by their progressive replacement by modern clones. To promote the conservation and utilization of these genetic resources, a representative sample of 537 traditional Cuban cacao plants was used to develop a core collection. Core collections based on 15 simple sequence repeat (SSR) markers were generated using five different sampling algorithms: random sampling, simulated annealing, stepwise clustering with random sampling, the M strategy, and maximum genetic diversity. The five core collections were designed to capture 95 % of the SSR alleles in the complete collection. The genetic, morphological, and geographical diversity of each core collection was compared with that of the entire collection. The entire collection contained 139 alleles, including 104 rare ones, with the 95 % allelic coverage threshold achieved with 133 alleles. The core collection generated by the maximum genetic diversity algorithm had the lowest number of accessions (185), the highest mean genetic distance (0.486), the lowest morphological character redundancy, and the highest diversity as assessed by the mean Shannon-Weaver diversity index (0.757). This core collection can thus serve as the basis of future improvement programs based on local genetic resources.