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Alaba, O.

Publications and source records attributed to Alaba, O..

2 recordsLinked to original sources

Warming treatments shift the temporal dynamics of diversity and composition of bacteria in wild blueberry soils.

Soil bacterial communities are a crucial biological indicator of soil health and crop performance; however, their response to climate change remains poorly understood. In Maine, wild blueberry farms are experiencing unprecedented temperature changes, which may exacerbate microbial responses and potentially harm the crop. To elucidate the response of bacterial communities to warming during the growing season, we employed passive and active open-top chambers to simulate climate warming scenarios in wild blueberry fields. Warming treatments elevated atmospheric temperatures by 1.2 and 3.3 {degrees}C (passive and active warming), respectively, but did not affect soil temperatures. Nevertheless, soils in the active warming treatment exhibited significantly lower water content than ambient conditions. Overall, soil bacterial diversity and richness (June, July, and August data combined) under the warming (passive and active) treatments and ambient controls did not demonstrate significant differences after two years of experimental warming. However, significantly higher bacterial evenness and diversity under warming treatments were observed in the early growing season (June). Our study also reveals pronounced seasonal shifts in the evenness and diversity of bacteria in wild blueberry soil, suggesting that the variation in bacterial community structure may be more influenced by seasonal changes in temperature and plant activity during the growing season than by warming treatments. The increased bacterial evenness and diversity under warming treatments in June may be attributed to advanced plant phenology, indicating a potential future shift in seasonal dynamics of bacterial activity under global warming.

microbiology↗

The pattern of genetic variability in a core collection of 2,021 cowpea accessions

Cowpea is a highly drought-adapted leguminous crop with great promise for improving agricultural sustainability and food security. Here, we report analyses derived from array-based genotyping of 2,021 accessions constituting a core subset of the worlds largest cowpea collection, held at the International Institute of Tropical Agriculture (IITA) in Ibadan, Nigeria. We used this dataset to examine genetic variation and population structure in worldwide cowpea. We confirm that the primary pattern of population structure is two geographically defined subpopulations origining in West and East Africa, respectively, and that population structure is associated with shifts in phenotypic distribution. Furthermore, we establish the cowpea core collection as a resource for genome-wide association studies by mapping the genetic basis of several phenotypes, with a focus on seed coat pigmentation patterning and color. We anticipate that the genotyped IITA cowpea core collection will serve as a powerful tool for mapping complex traits, facilitating the acceleration of breeding programs to enhance the resilience of this crop in the face of rapid global climate change.

genetics↗