2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The chromosome-level genome of the submerged plant Cryptocoryne crispatula provides insights into the terrestrial–freshwater transition in Araceae

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Plant terrestrialization (i.e. the transition to a terrestrial environment) is a significant evolutionary event that has been intensively studied. While certain plant lineages, particularly in angiosperms, have re-adapted to freshwater habitats after colonizing terrene, however, the molecular mechanism of the terrestrial–freshwater (T–F) transition remains limited. Here, the basal monocot Araceae was selected as the study object to explore the T–F transition adaptation mechanism by comparative genomic analysis. Our findings revealed that the substitution rates significantly increased in the lineage of freshwater Araceae, which may promote their adaptation to the freshwater habitat. Additionally, 20 gene sets across all four freshwater species displayed signs of positive selection contributing to tissue development and defense responses in freshwater plants. Comparative synteny analysis showed that genes specific to submerged plants were enriched in cellular respiration and photosynthesis. In contrast, floating plants were involved in regulating gene expression, suggesting that gene and genome duplications may provide the original material for plants to adapt to the freshwater environment. Our study provides valuable insights into the genomic aspects of the transition from terrestrial to aquatic environments in Araceae, laying the groundwork for future research in the angiosperm.

          Related collections

          Most cited references104

          • Record: found
          • Abstract: found
          • Article: not found

          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
                Bookmark

                Author and article information

                Contributors
                Journal
                DNA Res
                DNA Res
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press (UK )
                1340-2838
                1756-1663
                February 2024
                20 January 2024
                20 January 2024
                : 31
                : 1
                : dsae003
                Affiliations
                Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences , Wuhan 430074, China
                University of Chinese Academy of Sciences , Beijing 100049, China
                Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences , Wuhan 430074, China
                Plant Diversity Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences , Wuhan 430074, China
                Sino-Africa Joint Research Center, Chinese Academy of Sciences , Wuhan 430074, China
                Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education , Guilin 541006, China
                Guangxi Association for Science and Technology , Nanning 530023, China
                Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences , Wuhan 430074, China
                Aquatic Plant Research Center, Wuhan Botanical Garden, Chinese Academy of Sciences , Wuhan 430074, China
                Author notes
                To whom correspondence should be addressed. Tel: 86-27-87700881. Fax: 86-27-87700877. Email: lizhizhong@ 123456wbgcas.cn (Z.-Z.L.)
                To whom correspondence should be addressed. jmchen@ 123456wbgcas.cn (J.-M.C.)
                Author information
                https://orcid.org/0000-0003-4310-2544
                https://orcid.org/0000-0002-3425-5939
                Article
                dsae003
                10.1093/dnares/dsae003
                10873505
                38245835
                932e7727-80f8-4ed3-9877-b0ae488a5761
                © The Author(s) 2024. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 November 2023
                : 27 December 2023
                : 18 January 2024
                : 15 February 2024
                Page count
                Pages: 13
                Categories
                Resource Article: Genomes Explored
                AcademicSubjects/MED00774
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI01140

                Genetics
                adaptation,cryptocoryne crispatula,genomic synteny,mutation rates,terrestrial–freshwater transition

                Comments

                Comment on this article