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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #352292

Title: Understanding the physiological and molecular mechanisms of rice-microbial interactions that produce methane

item WOOJAE, KIM - Rural Development Administration - Korea
item LIEM, BUI - Cuu Long Delta Rice Research Institute
item CHUN, JAEBUHM - Rural Development Administration - Korea
item McClung, Anna
item Adviento-Borbe, Arlene
item Rivers, Adam
item Pinson, Shannon
item Maul, Jude
item Reddy, Vangimalla
item Barnaby, Jinyoung

Submitted to: BARC Poster Day
Publication Type: Abstract Only
Publication Acceptance Date: 4/6/2018
Publication Date: 4/25/2018
Citation: Woojae, K., Liem, B., Chun, J., McClung, A.M., Adviento-Borbe, A.A., Rivers, A.R., Pinson, S.R., Maul, J.E., Reddy, V., Barnaby, J.Y. 2018. Understanding the physiological and molecular mechanisms of rice-microbial interactions that produce methane. 29th Annual Beltsville Poster Day Book, pg 33.

Interpretive Summary:

Technical Abstract: The second most abundant greenhouse gas, methane, is ~25 times more potent in global warming potential than carbon dioxide, and 7-17% of atmospheric methane comes from flooded rice fields. Methane emissions can be greatly reduced by using alternate wetting and drying irrigation management and/or cultivars that have low methane emissions. In this study, we sought to investigate genetic variation in methane emissions and further understand the mechanisms of soil-rice-methane producing bacteria interactions. Five rice cultivars were examined to relate seasonal methane profiles with anatomical and/or physiological characteristics, i.e., root and shoot biomass, tiller number, aerenchyma density, plant height, developmental stage, etc. The results showed that root biomass was a major driver that affected total methane emissions. This was verified in a subsequent study with nine recombinant inbred lines (RILs) and their parents, segregating for root biomass. We used these genotypes to collect rhizosphere soil samples at four developmental stages, booting, heading, grain fill stage, and at harvest, to assess the temporal profile of soil microbial composition using metagenomic sequencing.