Microsatellite marker polymorphism and mapping in pea ( Pisum sativum L.).

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Title: Microsatellite marker polymorphism and mapping in pea ( Pisum sativum L.).
Authors: Loridon, K.1, McPhee, K.2, Morin, J.3, Dubreuil, P.1, Pilet-Nayel, M.4, Aubert, G.1, Rameau, C.5, Baranger, A.4, Coyne, C.6, Lejeune-Hènaut, I.3, Burstin, J.1 burstin@epoisses.inra.fr
Source: Theoretical & Applied Genetics. Oct2005, Vol. 111 Issue 6, p1022-1031. 10p. 2 Diagrams, 1 Chart, 1 Graph.
Subjects: Peas, Microsatellite repeats, Genetic polymorphisms, Gene mapping, Plant genetics, Genetics, Biology
Abstract: This paper aims at providing reliable and cost effective genotyping conditions, level of polymorphism in a range of genotypes and map position of newly developed microsatellite markers in order to promote broad application of these markers as a common set for genetic studies in pea. Optimal PCR conditions were determined for 340 microsatellite markers based on amplification in eight genotypes. Levels of polymorphism were determined for 309 of these markers. Compared to data obtained for other species, levels of polymorphism detected in a panel of eight genotypes were high with a mean number of 3.8 alleles per polymorphic locus and an average PIC value of 0.62, indicating that pea represents a rather polymorphic autogamous species. One of our main objectives was to locate a maximum number of microsatellite markers on the pea genetic map. Data obtained from three different crosses were used to build a composite genetic map of 1,430 cM (Haldane) comprising 239 microsatellite markers. These include 216 anonymous SSRs developed from enriched genomic libraries and 13 SSRs located in genes. The markers are quite evenly distributed throughout the seven linkage groups of the map, with 85% of intervals between the adjacent SSR markers being smaller than 10 cM. There was a good conservation of marker order and linkage group assignment across the three populations. In conclusion, we hope this report will promote wide application of these markers and will allow information obtained by different laboratories worldwide in diverse fields of pea genetics, such as QTL mapping studies and genetic resource surveys, to be easily aligned. [ABSTRACT FROM AUTHOR]
Copyright of Theoretical & Applied Genetics is the property of Springer Nature 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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  Data: Microsatellite marker polymorphism and mapping in pea ( Pisum sativum L.).
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  Data: <searchLink fieldCode="AR" term="%22Loridon%2C+K%2E%22">Loridon, K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22McPhee%2C+K%2E%22">McPhee, K.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Morin%2C+J%2E%22">Morin, J.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Dubreuil%2C+P%2E%22">Dubreuil, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pilet-Nayel%2C+M%2E%22">Pilet-Nayel, M.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Aubert%2C+G%2E%22">Aubert, G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rameau%2C+C%2E%22">Rameau, C.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Baranger%2C+A%2E%22">Baranger, A.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Coyne%2C+C%2E%22">Coyne, C.</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Lejeune-Hènaut%2C+I%2E%22">Lejeune-Hènaut, I.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Burstin%2C+J%2E%22">Burstin, J.</searchLink><relatesTo>1</relatesTo><i> burstin@epoisses.inra.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Theoretical+%26+Applied+Genetics%22">Theoretical & Applied Genetics</searchLink>. Oct2005, Vol. 111 Issue 6, p1022-1031. 10p. 2 Diagrams, 1 Chart, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Peas%22">Peas</searchLink><br /><searchLink fieldCode="DE" term="%22Microsatellite+repeats%22">Microsatellite repeats</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+polymorphisms%22">Genetic polymorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+mapping%22">Gene mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+genetics%22">Plant genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Biology%22">Biology</searchLink>
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  Data: This paper aims at providing reliable and cost effective genotyping conditions, level of polymorphism in a range of genotypes and map position of newly developed microsatellite markers in order to promote broad application of these markers as a common set for genetic studies in pea. Optimal PCR conditions were determined for 340 microsatellite markers based on amplification in eight genotypes. Levels of polymorphism were determined for 309 of these markers. Compared to data obtained for other species, levels of polymorphism detected in a panel of eight genotypes were high with a mean number of 3.8 alleles per polymorphic locus and an average PIC value of 0.62, indicating that pea represents a rather polymorphic autogamous species. One of our main objectives was to locate a maximum number of microsatellite markers on the pea genetic map. Data obtained from three different crosses were used to build a composite genetic map of 1,430 cM (Haldane) comprising 239 microsatellite markers. These include 216 anonymous SSRs developed from enriched genomic libraries and 13 SSRs located in genes. The markers are quite evenly distributed throughout the seven linkage groups of the map, with 85% of intervals between the adjacent SSR markers being smaller than 10 cM. There was a good conservation of marker order and linkage group assignment across the three populations. In conclusion, we hope this report will promote wide application of these markers and will allow information obtained by different laboratories worldwide in diverse fields of pea genetics, such as QTL mapping studies and genetic resource surveys, to be easily aligned. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theoretical & Applied Genetics is the property of Springer Nature 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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