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Tropical plants evolve faster than their temperate relatives: a case from the bamboos (Poaceae: Bambusoideae) based on chloroplast genome data

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journal contribution
posted on 2020-06-16, 16:53 authored by Wencai Wang, Siyun Chen, Wei Guo, Yongquan Li, Xianzhi Zhang

The evolutionary speed hypothesis (ESH) states that the molecular evolutionary rates of plants in the warm areas are higher than that in the cool areas. Nevertheless, largely due to the scarcity of molecular data from lower taxonomic lineages, ESH remains elusive in plants. In this study, we comprehensively conducted genome-wide comparative analyses of a total of 76 chloroplast (cp) genomes of the bamboos (Poaceae: Bambusoideae), with 10 of them newly generated, to test the ESH via investigating the potential association between their cp genome evolutionary rate and geographical distribution pattern. The results showed extreme heterogeneity of the evolutionary rate within the bamboos, with the lowest value found in temperate bamboos (tribe Arundinarieae) being approximately 1/4 of that in the tropical ones (tribe Olyreae). All the 91 non-coding loci and 75 coding loci evolve consistently faster in tribe Olyreae than that in tribe Arundinarieae. Most of the non-coding (82 out of 91) and coding (73 out of 75) loci in the tropical woody bamboos (tribe Bambuseae) also evolve faster than those in the temperate woody bamboos (tribe Arundinarieae). Moreover, the split of tropical and temperate bamboos was apparently accompanied with the change of cp genome evolutionary rate. This is by far the first case using cp genome data to support the ESH via showing the tropical plants evolve faster than their closely related temperate ones, and will shed new light on our understanding of ESH and the adaptation of plants.

Funding

This work was supported by the National Natural Science Foundation of China (31600173), Xinglin Talent Funding of Guangzhou University of Chinese Medicine (A1-AFD018181Z3949), Key-Area Research and Development Program of Guangdong Province (2020B020215003), Forestry Scientific Technology Innovation Project of Guangdong Province (2019KJCX012, 2020KYXM03, 2020KJCX010) and the Excellent Doctor Fund of Zhongkai University of Agriculture and Engineering (KA180581235).

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