Host-suitability of black medick (Medicago lupulina L.) and additional molecular markers for identification of the pea cyst nematode Heterodera goettingiana

A survey was conducted in 16 fields cultivated with broad bean (Vicia faba L.) and garden pea (Pisum sativum L.) in nine localities of Apulia, southern Italy, to determine whether annual weeds were susceptible to the pea cyst nematode (PEACN), Heterodera goettingiana, and could therefore serve as alternate host for the nematode. The results of this study showed that black medick (Medicago lupulina L.) is a good host for the nematode increasing its population levels in the soil in the absence of the primary hosts. The identity of the PEACN was confirmed by integrative taxonomic approaches (classical, and molecular), resulting identical in all cases (broad bean and garden pea, as well as the spontaneous black medick infections). The phylogenetic analyses using ITS and coxI gene regions strongly support the identification of the populations of H. goettingiana from Italy. Also, ITS and coxI gene sequences were obtained from the same cyst, confirming the species identity in comparison to other nematodes and populations in the Goettingiana group, demonstrating that ITS and coxI gene regions of the PEACN are suitable molecular markers for accurate and unequivocal identification of the PEACN. Reproduction and histopathological analyses demonstrated a good host-suitability of black medick to the PEACN. This record enlarges the relatively narrow host-range of the pea cyst nematode and indicates the need to control M. lupulina to avoid the increase of the nematode population in the absence of the main host crop.

The present work has been done in the frame of the Apulia Region Programme: Misura 214/4 sub azione a “Progetti integrati per la Biodiversità” PSR 2007-2013, ASSE II “Miglioramento dell’ ambiente e dello Spazio Rurale” SaVeGraINPuglia. The authors are thankful to Dr. Nicola Vovlas IPSP- CNR, Bari U. O. S. for suggestions and fruitful comments on the manuscript, and C. Cantalapiedra-Navarrete (IAS-CSIC) for the excellent technical assistance.

Peer reviewed