Differential regulation of a family of apyrase genes from Medicago truncatula.

Four putative apyrase genes were identified from the model legume Medicago truncatula. Two of the genes identified from M. truncatula (Mtapy1 and Mtapy4) are expressed in roots and are inducible within 3 h after inoculation with Sinorhizobium meliloti. The level of mRNA expression of the other two putative apyrases, Mtapy2 and Mtapy3, was unaffected by rhizobial inoculation. Screening of a bacterial artificial chromosome library of M. truncatula genomic DNA showed that Mtapy1, Mtapy3, and Mtapy4 are present on a single bacterial artificial chromosome clone. This apyrase cluster was mapped to linkage group seven. A syntenic region on soybean linkage group J was found to contain at least two apyrase genes. Screening of nodulation deficient mutants of M. truncatula revealed that two such mutants do not express apyrases to any detectable level. The data suggest a role for apyrases early in the nodulation response before the involvement of root cortical cell division leading to the nodule structure.

Differential expression of two soybean apyrases, one of which is an early nodulin.

Two cDNA clones were isolated from soybean (Glycine soja) by polymerase chain reaction with primers designed to conserved motifs found in apyrases (nucleotide phosphohydrolase). The two cDNAs are predicted to encode for two, distinct, apyrase proteins of approximately 50 kDa (i.e., GS50) and 52 kDa (i.e., GS52). Phylogenetic analysis indicated that GS52 is orthologous to a family of apyrases recently suggested to play a role in legume nodulation. GS50 is paralogous to this family and, therefore, likely plays a different physiological role. Consistent with this analysis, GS50 mRNA was detected in root, hypocotyls, flowers, and stems, while GS52 mRNA was found in root and flowers. Neither gene was expressed in leaves or cotyledons. Inoculation of roots with Bradyrhizobium japonicum, nitrogen-fixing symbiont of soybean, resulted in the rapid (<6 h) induction of GS52 mRNA expression. The level of GS50 mRNA expression was not affected by bacterial inoculation. Western blot (immunoblot) analysis of GS50 expression mirrored the results obtained by mRNA analysis. However, in contrast to the mRNA results, GS52 protein was found in stems. Interestingly, anti-GS52 antibody recognized a 50-kDa protein found only in nodule extracts. Treatment of roots with anti-GS52 antibody, but not anti-GS50 antibody or preimmune serum, blocked nodulation by B. japonicum. Fractionation of cellular membranes in sucrose density gradients and subsequent Western analysis of the fractions revealed that GS50 colocalized with marker enzymes for the Golgi, while GS52 colocalized with marker enzymes for the plasma membrane. Restriction fragment length polymorphism (RFLP)-based mapping placed the gs52 gene on major linkage group J of the integrated genetic map of soybean. These data suggest that GS50 is likely an endo-apyrase involved in Golgi function, while GS52 is localized on the root surface and appears to play an important role in nodulation.

Targeted comparative genome analysis and qualitative mapping of a major partial-resistance gene to the soybean cyst nematode.

A major partial-resistance locus to the soybean cyst nematode (Heterodera glycines Ichinohe; SCN) was identified on linkage group 'G' of soybean [Glycine max (L.) Merr.] using restriction fragment length polymorphisms (RFLPs). This locus explained 51.4% (LOD=10.35) of the total phenotypic variation in disease response in soybean Plant Introduction (PI) 209332, 52.7% (LOD=15.58) in PI 90763, 40.0% (LOD=10.50) in PI 88788, and 28.1% (LOD=6.94) in 'Peking'. Initially, the region around this major resistance locus was poorly populated with DNA markers. To increase marker density in this genomic region, first random, and later targeted, comparative mapping with RFLPs from mungbean [Vigna radiata (L.) R. Wilcz.] and common bean (Phaseolus vulgaris L.) was performed, eventually leading to one RFLP marker every 2.6 centimorgans (cM). Even with this marker density, the inability to resolve SCN disease response into discrete Mendelian categories posed a major limitation to mapping. Thus, qualitative scoring of SCN disease response was carried out in an F5∶6 recombinant inbred population derived from 'Evans'xPI 209332 using a 30% disease index cut-off for resistance. Using the computer program JoinMap, an integrated map of the region of interest was created, placing the SCN resistance locus 4.6 cM from RFLP marker B53 and 2.8 cM from Bng30. This study demonstrates how a combination of molecularmapping strategies, including comparative genome analysis, join mapping, and qualitative scoring of a quantitative trait, potentially provide the necessary tools for high-resolution mapping around a quantitative-trait locus.