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<p>Modern banana cultivars are widely recognized as originating from natural interspecific and/or intraspecific hybridization events involving&#xa0;<i>Musa acuminata</i>&#xa0;(A genome) and&#xa0;<i>Musa balbisiana</i>&#xa0;(B genome). Accurate identification represents a foundational step in effective breeding programs and conservation efforts. The precision of this identification process is enhanced through the application of molecular techniques, which in turn facilitate targeted breeding programs via robust parental selection. In this study, the <i>Rsa</i>I restriction enzyme was utilized to digest the internal transcribed spacer (ITS) region, and subsequent band quantification via GelQuant.NET software was employed to clarify the genomic identity of banana accessions from Kalimantan and the collections housed at the former Tropical Fruit Research Institute (ITFRI), Indonesian Agency for Agricultural Research and Development. A comprehensive analysis was conducted on all 83 banana accessions, revealing a diverse genomic distribution: 39.02% were identified as AA genomes, while the remaining accessions comprised AAA (20.73%), ABB (14.63%), AAB (10.98%), BB (4.88%), AB (4.88%), AAAB (3.66%), and TT (1.22) genomes. The combined methodology of polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) and band image quantification successfully differentiated between AAB and ABB triploids; however, it was insufficient to distinguish between the AA and AAA accessions. This research represents the initial application of band image quantification for banana genome identification capable of resolving AAB and ABB ploidy levels. Nonetheless, further validation of this technique necessitates the analysis of a larger sample set and corroboration through independent ploidy assessment methods, such as flow cytometry.</p>

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ITSs region amplification for banana genome estimation

  • 期刊论文

  • 发表日期：

    2026年1月15日

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  • Agus Sutanto,
  • Sukartini,
  • Sri Hadiati,
  • Yuni Fitri Cahyaningsih

摘要

Modern banana cultivars are widely recognized as originating from natural interspecific and/or intraspecific hybridization events involving Musa acuminata (A genome) and Musa balbisiana (B genome). Accurate identification represents a foundational step in effective breeding programs and conservation efforts. The precision of this identification process is enhanced through the application of molecular techniques, which in turn facilitate targeted breeding programs via robust parental selection. In this study, the RsaI restriction enzyme was utilized to digest the internal transcribed spacer (ITS) region, and subsequent band quantification via GelQuant.NET software was employed to clarify the genomic identity of banana accessions from Kalimantan and the collections housed at the former Tropical Fruit Research Institute (ITFRI), Indonesian Agency for Agricultural Research and Development. A comprehensive analysis was conducted on all 83 banana accessions, revealing a diverse genomic distribution: 39.02% were identified as AA genomes, while the remaining accessions comprised AAA (20.73%), ABB (14.63%), AAB (10.98%), BB (4.88%), AB (4.88%), AAAB (3.66%), and TT (1.22) genomes. The combined methodology of polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) and band image quantification successfully differentiated between AAB and ABB triploids; however, it was insufficient to distinguish between the AA and AAA accessions. This research represents the initial application of band image quantification for banana genome identification capable of resolving AAB and ABB ploidy levels. Nonetheless, further validation of this technique necessitates the analysis of a larger sample set and corroboration through independent ploidy assessment methods, such as flow cytometry.