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Resistance gene analogues of chickpea (Cicer arietinum L.): isolation, genetic mapping and association with a Fusarium resistance gene cluster.

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Title: Resistance gene analogues of chickpea (Cicer arietinum L.): isolation, genetic mapping and association with a Fusarium resistance gene cluster.
Authors: Huettel, B.1, Santra, D.2, Muehlbauer, F.J.2, Kahl, G.1 kahl@em.uni-frankfurt.de
Source: Theoretical & Applied Genetics. Aug2002, Vol. 105 Issue 2/3, p479-490. 12p.
Subjects: Cicer, Chickpea, Polymerase chain reaction, Plant gene mapping, Gene mapping, Plant genetics
Abstract: Resistance gene analogues (RGAs) of Cicer were isolated by different PCR approaches and mapped in an inter-specific cross segregating for fusarium wilt by RFLP and CAPS analysis. Initially, two pairs of degenerate primers targeting sequences encoded at nucleotide-binding sites (NBS), which are conserved in plant disease resistance genes such as RPS2, L6 and N, were selected for amplification. Cloning and sequence analysis of amplified products from C. arietinum DNA revealed eight different RGAs. Additionally, five RGAs were identified after characterisation of the presumptive RGA alleles from C. reticulatum. Therefore, a total of 13 different RGAs were isolated from Cicer and classified through pair-wise comparison into nine distinct classes with sequence similarities below a 68% amino acid identity threshold. Sequence comparison of seven RGA alleles of C. arietinum and C. reticulatum revealed polymorphisms in four RGAs with identical numbers of synonymous and non-synonymous substitutions. An NlaIII site, unique in the RGA-A allele of C. arietinum, was exploited for CAPS analysis. Genomic organisation and map position of the NBS-LRR candidate resistance genes was probed by RFLP analysis. Both single-copy as well as multi-copy sequence families were present for the selected RGAs, which represented eight different classes. Five RGAs were mapped in an inter-specific population segregating for three race-specific Fusarium resistances. All RGAs mapped to four of the previously established eight linkage groups for chickpea. Two NBS-LRR clusters were identified that could not be resolved in our mapping population. One of these clusters, which is characterised by RFLP probe CaRGA-D, mapped to the linkage group harbouring two of three Fusarium resistance genes characterised in the inter-specific population. Our study provides a starting point for the characterisation and genetic mapping of candidate resistance genes in Cicer that is useful for marker-assisted selection and as a pool for resistance genes of Cicer. [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: Resistance gene analogues of chickpea (Cicer arietinum L.): isolation, genetic mapping and association with a Fusarium resistance gene cluster.
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  Data: <searchLink fieldCode="DE" term="%22Cicer%22">Cicer</searchLink><br /><searchLink fieldCode="DE" term="%22Chickpea%22">Chickpea</searchLink><br /><searchLink fieldCode="DE" term="%22Polymerase+chain+reaction%22">Polymerase chain reaction</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+gene+mapping%22">Plant gene mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+mapping%22">Gene mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+genetics%22">Plant genetics</searchLink>
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  Data: Resistance gene analogues (RGAs) of Cicer were isolated by different PCR approaches and mapped in an inter-specific cross segregating for fusarium wilt by RFLP and CAPS analysis. Initially, two pairs of degenerate primers targeting sequences encoded at nucleotide-binding sites (NBS), which are conserved in plant disease resistance genes such as RPS2, L6 and N, were selected for amplification. Cloning and sequence analysis of amplified products from C. arietinum DNA revealed eight different RGAs. Additionally, five RGAs were identified after characterisation of the presumptive RGA alleles from C. reticulatum. Therefore, a total of 13 different RGAs were isolated from Cicer and classified through pair-wise comparison into nine distinct classes with sequence similarities below a 68% amino acid identity threshold. Sequence comparison of seven RGA alleles of C. arietinum and C. reticulatum revealed polymorphisms in four RGAs with identical numbers of synonymous and non-synonymous substitutions. An NlaIII site, unique in the RGA-A allele of C. arietinum, was exploited for CAPS analysis. Genomic organisation and map position of the NBS-LRR candidate resistance genes was probed by RFLP analysis. Both single-copy as well as multi-copy sequence families were present for the selected RGAs, which represented eight different classes. Five RGAs were mapped in an inter-specific population segregating for three race-specific Fusarium resistances. All RGAs mapped to four of the previously established eight linkage groups for chickpea. Two NBS-LRR clusters were identified that could not be resolved in our mapping population. One of these clusters, which is characterised by RFLP probe CaRGA-D, mapped to the linkage group harbouring two of three Fusarium resistance genes characterised in the inter-specific population. Our study provides a starting point for the characterisation and genetic mapping of candidate resistance genes in Cicer that is useful for marker-assisted selection and as a pool for resistance genes of Cicer. [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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