Genetic diversity and symbiotic efficiency of legume nodulating bacteria from different land use systems in Taita Taveta, Kenya
2011
Mwangi,S. N. | Karanja,N. K. | Boga,H. | Kahindi,J. H. P. | Muigai,A. | Odee,D. | Mwenda,G. M
Populations of Legume Nodulating Bacteria (LNB) were assessed under glasshouse conditions from soils collected in Taita Taveta district, Kenya from various landuse systems. The populations were estimated by the most-probable-number (MPN) plant infection technique using Macroptilium atropurpureum (DC.) Urban (siratro) as the trap plant. The LNB populations varied from 1.1 x 10 to 6.1 x 10(6) cells g-1 of soil. There was apparent landuse effect on abundance of LNB with maize-bean cropping system and Shrubland giving high population estimates. Two thousand isolates of LNB were obtained from the nodules of siratro trap plant. These isolates were characterized on yeast extract mannitol mineral salts agar (YEMA) media containing bromothymol blue and two distinct rhizobia growth rate types were identified: fast growers (acid-producing) at 78.6% while slow growers (alkali-producing) comprised 21.4%. Symbiotic effectiveness of a selected number of the isolates ranged from 6.7% to 96.4% and no clear influence of landuse was observed. RFLP of amplified 16S rRNA genes of isolates with HaeIII and TaqI grouped the isolates into seven ribotypes and partial sequencing of 16S rRNA genes of isolates representative of the ribotypes further grouped the isolates into six genera namely; Sinorhizobium, Bradyrhizobium, Herbaspirillum, Agrobacterium, Rhizobium and Burkholderia. Landuse type was found to significantly influence the diversity of LNB (PO.05). The highest LNB richness of five genera was found in indigenous forest soils. While fallow/shrubland and maize based system had a total richness of four genera. Each of the remaining landuses had LNB total richness of two.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Scientific Electronic Library Online Mexico
Découvrez la collection de ce fournisseur de données dans AGRIS