Rhizospheric microbiomes help Dongxiang common wild rice (Oryza rufipogon Griff.) rather than Leersia hexandra Swartz survive under cold stress

ABSTRACT

Dongxiang common wild rice (CWR) is extremely cold tolerant, which can grow at the northernmost latitudes. To take full advantage of Dongxiang CWR’s cold tolerance for rice production and breeding, it is important to obtain a deep understanding of the mechanism underlying its cold tolerance. In this study, the rhizospheric microbiome of CWR was investigated and compared with that of Leersia hexandra Swartz (LHS) in Dongxiang to clarify the role of the rhizospheric microbiome in CWR cold tolerance. The results showed that, compared with the LHS rhizospheric microbiome, the CWR rhizospheric microbiome was less diverse and smaller, as indicated by its lower diversity and richness indices and fewer detected groups, core genera, and indicator genera. However, a larger proportion of the CWR indicator genera and unique genera, including Acidiphilium, Mortierella, Glomus, etc. showed the ability to adapt to low temperatures, indicating that CWR was more likely to be associated with microbial groups that may enhance cold tolerance. The results indicated that the extreme cold tolerance of Dongxiang CWR benefited from its rhizospheric microbiome, and this cold tolerance was speculated to benefit more from key microbial groups (indicator genera and unique genera) than from microbial diversity.

KEYWORDS:

• Cold tolerance
• wild rice
• arbuscular mycorrhizal fungi
• rhizospheric bacteria
• rhizospheric fungi

Disclosure statement

No potential conflict of interest was reported by the author.

Data availability statement

All sequence data generated are available in the NCBI Sequence Read Archive under project number PRJNA520770 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA520770/). Other data supporting the findings of this study are available within the article and its supplementary materials.

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [41807049, 41920104008], the National Key R&D Program of China [2016YFC0501202], the Strategic Priority Research Program of the Chinese Academy of Sciences [XDA23070501], the Cooperative Project between CAS and Jilin Province of China [2019SYHZ0039], the Science and Technology Development Project of Jilin Province of China [20190303070SF], and the Science and Technology Development Project of Changchun of China [18DY019].