Literature DB >> 24617463

Mitochondrial DNA, restoring Beethovens music.

Maxime Merheb1, Stéphane Vaiedelich2, Thiérry Maniguet2, Catherine Hänni3.   

Abstract

Great ancient composers have endured many obstacles and constraints which are very difficult to understand unless we perform the restoration process of ancient music. Species identification in leather used during manufacturing is the key step to start such a restoration process in order to produce a facsimile of a museum piano. Our study reveals the species identification in the leather covering the hammer head in a piano created by Erard in 1802. This is the last existing piano similar to the piano that Beethoven used with its leather preserved in its original state. The leather sample was not present in a homogeneous piece, yet combined with glue. Using a DNA extraction method that avoids PCR inhibitors; we discovered that sheep and cattle are the origin of the combination. To identify the species in the leather, we focused on the amounts of mitochondrial DNA in both leather and glue and results have led us to the conclusion that the leather used to cover the hammer head in this piano was made of cattle hide.

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Keywords:  Ancient DNA; Beethoven's music; Q-PCR; leather; mtDNA

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Year:  2014        PMID: 24617463     DOI: 10.3109/19401736.2014.895988

Source DB:  PubMed          Journal:  Mitochondrial DNA A DNA Mapp Seq Anal        ISSN: 2470-1394            Impact factor:   1.514


  2 in total

Review 1.  Mitochondrial DNA, a Powerful Tool to Decipher Ancient Human Civilization from Domestication to Music, and to Uncover Historical Murder Cases.

Authors:  Maxime Merheb; Rachel Matar; Rawad Hodeify; Shoib Sarwar Siddiqui; Cijo George Vazhappilly; John Marton; Syed Azharuddin; Hussain Al Zouabi
Journal:  Cells       Date:  2019-05-09       Impact factor: 6.600

2.  A rapid and simple UPLC-MS/MS method using collagen marker peptides for identification of porcine gelatin.

Authors:  Shangwei Guo; Xiaobing Xu; Xiangshan Zhou; Yaqin Huang
Journal:  RSC Adv       Date:  2018-01-19       Impact factor: 3.361

  2 in total

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