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<p>Hierarchical Cluster Analysis (HCA) is a technique for grouping objects based on their similarities, forming a hierarchical structure represented as a dendrogram. It follows two main strategies: agglomerative (bottom-up) and divisive (top-down). HCA is extensively applied across disciplines such as biology, marketing, and social sciences. In plant biotechnology, it plays a crucial role in assessing genetic diversity, phenotypic variations, metabolomic patterns, pathogen resistance, and environmental adaptability. Although HCA is not widely employed in plant germplasm cryopreservation research, it holds potential for evaluating the genetic diversity and stability of cryopreserved specimens. This communication illustrates the novel application of HCA in a common bean seed cryopreservation experiment. This study investigated the effects of cryopreservation on <i>P. vulgaris</i> seeds during early germination. No visible phenotypic changes were seen in seedlings from cryopreserved seeds. However, significant biochemical changes were noted: cryopreservation increased aldehydes (excluding malondialdehyde) in shoots from 56.47 to 253.19&#xa0;µmol&#xa0;g<sup>−&#xa0;1</sup> fresh weight, and reduced phenolics in roots. Cut line 1 in the dendrogram identified two main groups, with leaves distinctly different from other organs. Cut line 2 separated non-cryopreserved roots in branch 1 and cryopreserved roots in branch 2. HCA, as a methodological tool, confirmed roots were more affected by cryostorage.</p>

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Hierarchical clustering highlights root-specific biochemical responses to bean seed cryopreservation

  • 期刊论文

  • 发表日期：

    2026年4月14日

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  • Inaudis Cejas,
  • Julio César Quintana-Zaez,
  • Yanier Acosta,
  • Barbarita Companioni,
  • Byron E. Zevallos–Bravo,
  • María de Lourdes Tapia y Figueroa,
  • José Carlos Lorenzo

摘要

Hierarchical Cluster Analysis (HCA) is a technique for grouping objects based on their similarities, forming a hierarchical structure represented as a dendrogram. It follows two main strategies: agglomerative (bottom-up) and divisive (top-down). HCA is extensively applied across disciplines such as biology, marketing, and social sciences. In plant biotechnology, it plays a crucial role in assessing genetic diversity, phenotypic variations, metabolomic patterns, pathogen resistance, and environmental adaptability. Although HCA is not widely employed in plant germplasm cryopreservation research, it holds potential for evaluating the genetic diversity and stability of cryopreserved specimens. This communication illustrates the novel application of HCA in a common bean seed cryopreservation experiment. This study investigated the effects of cryopreservation on P. vulgaris seeds during early germination. No visible phenotypic changes were seen in seedlings from cryopreserved seeds. However, significant biochemical changes were noted: cryopreservation increased aldehydes (excluding malondialdehyde) in shoots from 56.47 to 253.19 µmol g− 1 fresh weight, and reduced phenolics in roots. Cut line 1 in the dendrogram identified two main groups, with leaves distinctly different from other organs. Cut line 2 separated non-cryopreserved roots in branch 1 and cryopreserved roots in branch 2. HCA, as a methodological tool, confirmed roots were more affected by cryostorage.