Abstracts (first author)


Pisum genome variability detected by AFLP and RGA profiling

Author(s): Kochieva EZ, Dyachenko EA


Pea (P. sativum L.) is an important legume grown and consumed extensively worldwide. In the present study for the first time two different multiloci techniques - AFLP and RGA-profiling have been used for genetic diversity assessment and taxa boundaries delimitation in Pisum species. RGA-profiling technique was used to determine NBS-LRR plant pathogen resistance genes polymorphism. In contrast, AFLP technique allows to investigate mostly evolutionary neutral genome sequences. Both approaches can provide comprehensive genome diversity information. Genetic diversity of 110 Pisum accessions of different origin representing P. fulvum and P. sativum species, including abyssinicum, asiaticum, transcaucasicum and arvense accessions with unclear taxonomic status was analyzed using AFLP and RGA- profiling. By using preselected primer combinations 405 AFLP and 171 RGA polymorphic bands have been detected. As a result, for each pea genotype unique AFLP and RGA-specific patterns have been revealed. The dendrogram and PCA based on calculated GD values revealed two distinct groups corresponding to P. sativum and P. fulvum. Other taxa formed one mixed group with P. sativum accessions. Notably, on AFLP, PCA-plot all P. sativum formed continuum with two main poles, largely represented Asian or European accessions. On RGA-profiling PCA-plot, no geographical and taxonomical differentiations within P.sativum accessions were determined. No correlation between pea accession grouping and resistance status or ability to interact with arbuscular mycorrhiza was found. Obtained data suggested that genus Pisum is composed only of two clear species: P. sativum and P. fulvum. There is no differentiation between abyssinicum, asiaticum, arvense, transcaucasicum and sativum,that confirm their subspecies taxonomic status. Molecular characterization of Pisum genetic diversity levels may help to identify potential new sources useful in pea breeding. The work was supported by FRP "Biological Diversity".

Abstracts (coauthor)


Invertases play an important role in carbohydrate metabolism. Moreover, invertases are involved in plant development and affect the formation of plant response to abiotic stress. In this work polymorphism in vacuolar invertase gene Pain_1 was characterized. Overall, 35 sequences of 28 species of the Solanum genus were analyzed. They included 9 tomato species and 11 potato species (subgenus Potatoe), other samples represented subgenera Leptostemonum, Minon, Solanum and Brevantherum.
The length of analyzed Pain-I exons III-V fragments varied from 591 to 962 bp as a result of multiple indels in intron III, which varied from 150 bp in S. peruvianum and S. habrochaites to 519 bp in S. pseudocapsicum. In total 80 indels were identified. The biggest deletions (157 bp) characterized intron III of S. sisymbriifolium, S. mauritianum, S. pseudocapsicum и Datura stramonium (taken as outgroups). Totally 188 SNPs were found. 49 SNPs were localized in coding regions. 39 of them resulted in 7 synonymous and 32 nonsynonymous aminoacid substitutions in the protein. Several substitutions and indels were specific to individual taxa or taxon groups, including potato and tomato species. Nine SNPs and eight allelic variants (SNP sets) have earlier been identified in exons III–V of S. tuberosum Pain-1. We examined the corresponding Pain_1 region in tuber-producing potato species (Solanum sect. Petota) and observed 6 new SNPs and 7 allelic variants. Two new allelic variants were found in the tomato species. In total, 18 new allelic variants were revealed in Solanaceae species examined. Obtained genetic distances and phylogenetic trees supported the commonly accepted taxonomic classification of the species, indicating that the Pain-1 fragment is suitable for taxonomic identification and phylogenetic studies in Solanaceae. This work was supported by RFBR grant 11-04-00446.


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XIV Congress of the European Society for Evolutionary Biology

Organization Team
Department of Animal Biology (DBA)
Faculty of Sciences of the University of Lisbon
P-1749-016 Lisbon


Computational Biology & Population Genomics Group