Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa

成果类型:
Article
署名作者:
Busoms, Silvia; da Silva, Ana C.; Escola, Gloria; Abdilzadeh, Raziyeh; Curran, Emma; Bollmann-Giolai, Anita; Bray, Sian; Wilson, Michael; Poschenrieder, Charlotte; Yant, Levi
署名单位:
Autonomous University of Barcelona; University of Nottingham; UK Research & Innovation (UKRI); Biotechnology and Biological Sciences Research Council (BBSRC); John Innes Center; University of Nottingham; Charles University Prague; University of Cambridge; Max Planck Society
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-13009
DOI:
10.1073/pnas.2407821121
发表日期:
2024-10-01
关键词:
arabidopsis-thaliana salt tolerance reference evapotranspiration population-structure r-package EVOLUTION selection IMPACT overexpression inference
摘要:
It is normally supposed that populations of the same species should evolve shared mechanisms of adaptation to common stressors due to evolutionary constraint. Here, we describe a system of within- species local adaptation to coastal habitats, Brassica fruticulosa, and detail surprising strategic variability in adaptive responses to high salinity. These different adaptive responses in neighboring populations are evidenced by transcriptomes, diverse physiological outputs, and distinct genomic selective landscapes. In response to high salinity Northern Catalonian populations restrict root- to- shoot Na+ transport, favoring K+ uptake. Contrastingly, Central Catalonian populations accumulate Na+ in leaves and compensate for the osmotic imbalance with compatible solutes such as proline. Despite contrasting responses, both metapopulations were salinity tolerant relative to all inland accessions. To characterize the genomic basis of these divergent adaptive strategies in an otherwise non- saline- tolerant species, we generate a long- read- based genome and population sequencing of 18 populations (nine inland, nine coastal) across the B. fruticulosa species range. Results of genomic and transcriptomic approaches support the physiological observations of distinct underlying mechanisms of adaptation to high salinity and reveal potential genetic targets of these two very recently evolved salinity adaptations. We therefore provide a model of within- species salinity adaptation and reveal cryptic variation in neighboring plant populations in the mechanisms of adaptation to an important natural stressor highly relevant to agriculture.