Most Probable Number Bioassays and Trap Culture Techniques are Promising in Estimating Quantitative and Qualitative Arbuscular Mycorrhizal Fungi

Year: 2024 | Month: June | Volume 11 | Issue 1

Most Probable Number Bioassays and Trap Culture Techniques are Promising in Estimating Quantitative and Qualitative Arbuscular Mycorrhizal Fungi

Michael Sakha Joyce Jefwa Lydia Mutua Andrew Ogolla Egesa Pius Gumo Erick Otieno Joseph P. Gweyi-Onyango
DOI:10.30954/2347-9655.01.2024.1

Abstract:

Arbuscular mycorrhizal (AM) fungi form a symbiotic relationship with plant roots and are the key functional group in soils. Several methods have been used traditionally to assess the mycorrhizal potential to colonize

plants. The AM fungus is always quantified through direct analysis of field soil. However, the information obtained through this method is inaccurate and thus, there was the need to compare it with the most

probable number (MPN) and trap culture techniques. The MPN and trap culture assay experiments were

laid out in a glasshouse at the National Museums of Kenya in a Completely Randomized Design and

replicated four times. MPN assay results revealed that the dilution levels differed significantly in root

infectivity and percentage root colonization as quantified, and both of them reduced from the highest to

the lowest dilution series. The standard media (commercial inoculant) elicited higher root infectivity than

field soil. Besides, sorghum roots in standard media at dilution 4-4 had 18.75% root colonization intensity

whereas in the same dilution level in soil, there was no root colonization. Four AMF genera (Scutellospora,

Gigaspora, Acaulospora, and Glomus) were extracted in both field soil and trap culture. Moreover, a total

of 42 and 78 spores were isolated and identified in field soil and trap culture respectively. These findings

provide new insights into AMF species infectivity, colonization, and sporulation.

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Year: 2024 | Month: June | Volume 11 | Issue 1

Most Probable Number Bioassays and Trap Culture Techniques are Promising in Estimating Quantitative and Qualitative Arbuscular Mycorrhizal Fungi

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