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Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling

Crossref DOI link: https://doi.org/10.1007/s42994-023-00125-5

Published Print: 2023-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Gao, Shang

Chen, Shoukun

Yang, Maogeng

Wu, Jinran

Chen, Shihua

Li, Huihui https://orcid.org/0000-0002-9117-5011
Funding

Funding for this research was provided by:

National Key R&D Program of China (2022YFF0711802)

Nanfan special project, CAAS (ZDXM2309)

National Natural Science Foundation of China (32022064)

Innovation Program of the Chinese Academy of Agricultural Sciences

Alibaba Foundation
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Text and Data Mining valid from 2023-12-01

Text and Data Mining valid from 2023-12-01

Version of Record valid from 2025-08-28
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This article is maintained by: Elsevier

Article Title: Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling

Journal Title: aBIOTECH

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s42994-023-00125-5

Content Type: article

Copyright: Copyright © 2023 © 2023 THE AUTHORS. Published by Elsevier B.V. on behalf of Agricultural Information Institute of CAAS. Published by Elsevier B.V.