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Quantitative trait loci analysis of phenolic acids contents in Salvia miltiorrhiza based on genomic simple sequence repeat markers.

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Title: Quantitative trait loci analysis of phenolic acids contents in Salvia miltiorrhiza based on genomic simple sequence repeat markers.
Authors: Feng, Yuan-Yuan1 (AUTHOR), Guo, Lin-Lin1 (AUTHOR), Jin, Hua1 (AUTHOR), Lin, Cai-Cai1 (AUTHOR), Zhou, Chang-Hao1 (AUTHOR), Fang, Xin-Sheng1,2 (AUTHOR), Wang, Jian-Hua1,2 (AUTHOR), Song, Zhen-Qiao1,2 (AUTHOR) szqsdau@163.com
Source: Industrial Crops & Products. Jul2019, Vol. 133, p365-372. 8p.
Subjects: Salvia miltiorrhiza, Phenolic acids, Microsatellite repeats, Acid analysis, Gene mapping
Abstract: Highlights • A genetic linkage map of Salvia miltiorrhiza was constructed based on genomic simple sequence repeat markers. • The genetic map with eight linkage groups spanned 397.5 cM with an average marker interval of 3.6 cM. • A total of six QTL were identified for salvianolic acid B, rosmarinic acid and lithospermic acid content, respectively. • These QTL will be useful for breeding to improve Salvia miltiorrhiza traits. Abstract Phenolic acids are one of the main active components in Salvia miltiorrhiza root, which have been proved to have extensive pharmacological activities. In this study, quantitative trait loci (QTL) for phenolic acids contents were identified by a new genetic map constructed based on genomic simple sequence repeat (SSR) markers. The results demonstrated that the map comprised eight linkage groups which were in accord with the haploid chromosome number of S. miltiorrhiza (2n = 2x = 16). The map spanned 397.5 cM with average inter-marker distance as 3.6 cM. A total of six QTL were identified through interval mapping, including three salvianolic acid B (SAB) content-related QTL on linkage group (LG) 7, two lithospermic acid (LA) content markers on LG2 and LG4, as well as one rosmarinic acid (RA) content-linked QTL on LG7. These QTL could be used in marker-assisted breeding for the phenolic acids contents of S. miltiorrhiza. [ABSTRACT FROM AUTHOR]
Copyright of Industrial Crops & Products is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 135743080
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  Data: Quantitative trait loci analysis of phenolic acids contents in Salvia miltiorrhiza based on genomic simple sequence repeat markers.
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  Data: <searchLink fieldCode="AR" term="%22Feng%2C+Yuan-Yuan%22">Feng, Yuan-Yuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Lin-Lin%22">Guo, Lin-Lin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jin%2C+Hua%22">Jin, Hua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Cai-Cai%22">Lin, Cai-Cai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Chang-Hao%22">Zhou, Chang-Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fang%2C+Xin-Sheng%22">Fang, Xin-Sheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jian-Hua%22">Wang, Jian-Hua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Zhen-Qiao%22">Song, Zhen-Qiao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> szqsdau@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Industrial+Crops+%26+Products%22">Industrial Crops & Products</searchLink>. Jul2019, Vol. 133, p365-372. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Salvia+miltiorrhiza%22">Salvia miltiorrhiza</searchLink><br /><searchLink fieldCode="DE" term="%22Phenolic+acids%22">Phenolic acids</searchLink><br /><searchLink fieldCode="DE" term="%22Microsatellite+repeats%22">Microsatellite repeats</searchLink><br /><searchLink fieldCode="DE" term="%22Acid+analysis%22">Acid analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+mapping%22">Gene mapping</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights • A genetic linkage map of Salvia miltiorrhiza was constructed based on genomic simple sequence repeat markers. • The genetic map with eight linkage groups spanned 397.5 cM with an average marker interval of 3.6 cM. • A total of six QTL were identified for salvianolic acid B, rosmarinic acid and lithospermic acid content, respectively. • These QTL will be useful for breeding to improve Salvia miltiorrhiza traits. Abstract Phenolic acids are one of the main active components in Salvia miltiorrhiza root, which have been proved to have extensive pharmacological activities. In this study, quantitative trait loci (QTL) for phenolic acids contents were identified by a new genetic map constructed based on genomic simple sequence repeat (SSR) markers. The results demonstrated that the map comprised eight linkage groups which were in accord with the haploid chromosome number of S. miltiorrhiza (2n = 2x = 16). The map spanned 397.5 cM with average inter-marker distance as 3.6 cM. A total of six QTL were identified through interval mapping, including three salvianolic acid B (SAB) content-related QTL on linkage group (LG) 7, two lithospermic acid (LA) content markers on LG2 and LG4, as well as one rosmarinic acid (RA) content-linked QTL on LG7. These QTL could be used in marker-assisted breeding for the phenolic acids contents of S. miltiorrhiza. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Industrial Crops & Products is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.indcrop.2019.01.063
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 365
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      – SubjectFull: Salvia miltiorrhiza
        Type: general
      – SubjectFull: Phenolic acids
        Type: general
      – SubjectFull: Microsatellite repeats
        Type: general
      – SubjectFull: Acid analysis
        Type: general
      – SubjectFull: Gene mapping
        Type: general
    Titles:
      – TitleFull: Quantitative trait loci analysis of phenolic acids contents in Salvia miltiorrhiza based on genomic simple sequence repeat markers.
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            NameFull: Feng, Yuan-Yuan
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            NameFull: Guo, Lin-Lin
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            NameFull: Jin, Hua
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            NameFull: Zhou, Chang-Hao
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            – D: 01
              M: 07
              Text: Jul2019
              Type: published
              Y: 2019
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              Value: 133
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