Distinguishing citrus varieties based on genetic and compositional analyses

Simple sequence repeats (SSR) markers and secondary metabolite composition were used in combination to study seven varieties of citrus for the first time. With reference to established accessions of citrus, two of the varieties (Chanh Giay and Ma Nao Pan) were predicted to be Mexican key limes, whil...

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Main Authors: Rui Min Vivian Goh, Aileen Pua, Francois Luro, Kim Huey Ee, Yunle Huang, Elodie Marchi, Shao Quan Liu, Benjamin Lassabliere, Bin Yu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015143/?tool=EBI
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author Rui Min Vivian Goh
Aileen Pua
Francois Luro
Kim Huey Ee
Yunle Huang
Elodie Marchi
Shao Quan Liu
Benjamin Lassabliere
Bin Yu
author_facet Rui Min Vivian Goh
Aileen Pua
Francois Luro
Kim Huey Ee
Yunle Huang
Elodie Marchi
Shao Quan Liu
Benjamin Lassabliere
Bin Yu
author_sort Rui Min Vivian Goh
collection DOAJ
description Simple sequence repeats (SSR) markers and secondary metabolite composition were used in combination to study seven varieties of citrus for the first time. With reference to established accessions of citrus, two of the varieties (Chanh Giay and Ma Nao Pan) were predicted to be Mexican key limes, while three were mandarin hybrids (Nagpur, Pontianak and Dalandan) and the remaining two (Qicheng and Mosambi) were related to the sweet orange. Notably, Dalandan was genetically more like a mandarin despite often referred to as an orange locally, whereas Mosambi was more likely to be a sweet orange hybrid although it has also been called a sweet lime due to its green peel and small size. Several key secondary metabolites such as polymethoxyflavones (sinensetin, tangeretin etc.), furanocoumarins (bergapten, citropten etc.) and volatiles (citronellol, α-sinensal etc.) were identified to be potential biomarkers for separation of citrus species. However, despite having similar genetic profiles, variations in the volatile profile of the two limes were observed; similarly, there were differences in the secondary metabolite profiles of the three mandarin hybrids despite having a common ancestral parent, highlighting the usefulness of genetic and compositional analyses in combination for revealing both origins and flavour profiles especially in citrus hybrids. This knowledge would be crucial for variety screening and selection for use in flavour or fragrance creation and application.
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spelling doaj.art-897143629ff14422b64bca9262ff85122022-12-22T02:55:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01174Distinguishing citrus varieties based on genetic and compositional analysesRui Min Vivian GohAileen PuaFrancois LuroKim Huey EeYunle HuangElodie MarchiShao Quan LiuBenjamin LassabliereBin YuSimple sequence repeats (SSR) markers and secondary metabolite composition were used in combination to study seven varieties of citrus for the first time. With reference to established accessions of citrus, two of the varieties (Chanh Giay and Ma Nao Pan) were predicted to be Mexican key limes, while three were mandarin hybrids (Nagpur, Pontianak and Dalandan) and the remaining two (Qicheng and Mosambi) were related to the sweet orange. Notably, Dalandan was genetically more like a mandarin despite often referred to as an orange locally, whereas Mosambi was more likely to be a sweet orange hybrid although it has also been called a sweet lime due to its green peel and small size. Several key secondary metabolites such as polymethoxyflavones (sinensetin, tangeretin etc.), furanocoumarins (bergapten, citropten etc.) and volatiles (citronellol, α-sinensal etc.) were identified to be potential biomarkers for separation of citrus species. However, despite having similar genetic profiles, variations in the volatile profile of the two limes were observed; similarly, there were differences in the secondary metabolite profiles of the three mandarin hybrids despite having a common ancestral parent, highlighting the usefulness of genetic and compositional analyses in combination for revealing both origins and flavour profiles especially in citrus hybrids. This knowledge would be crucial for variety screening and selection for use in flavour or fragrance creation and application.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015143/?tool=EBI
spellingShingle Rui Min Vivian Goh
Aileen Pua
Francois Luro
Kim Huey Ee
Yunle Huang
Elodie Marchi
Shao Quan Liu
Benjamin Lassabliere
Bin Yu
Distinguishing citrus varieties based on genetic and compositional analyses
PLoS ONE
title Distinguishing citrus varieties based on genetic and compositional analyses
title_full Distinguishing citrus varieties based on genetic and compositional analyses
title_fullStr Distinguishing citrus varieties based on genetic and compositional analyses
title_full_unstemmed Distinguishing citrus varieties based on genetic and compositional analyses
title_short Distinguishing citrus varieties based on genetic and compositional analyses
title_sort distinguishing citrus varieties based on genetic and compositional analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015143/?tool=EBI
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