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      Lateral transfers lead to the birth of momilactone biosynthetic gene clusters in grass

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          SUMMARY

          Momilactone A, an important plant labdane‐related diterpenoid, functions as a phytoalexin against pathogens and an allelochemical against neighboring plants. The genes involved in the biosynthesis of momilactone A are found in clusters, i.e., momilactone A biosynthetic gene clusters (MABGCs), in the rice and barnyardgrass genomes. In addition, we know little about the origin and evolution of MABGCs. Here, we integrated results from comprehensive phylogeny and comparative genomic analyses of the core genes of MABGC‐like clusters and MABGCs in 40 monocot plant genomes, providing convincing evidence for the birth and evolution of MABGCs in grass species. The MABGCs found in the PACMAD clade of the core grass lineage (including Panicoideae and Chloridoideae) originated from a MABGC‐like cluster in Triticeae (BOP clade) via lateral gene transfer (LGT) and followed by recruitment of MAS1/2 and CYP76L1 genes. The MABGCs in Oryzoideae originated from PACMAD through another LGT event and lost CYP76L1 afterwards. The Oryza MABGC and another Oryza diterpenoid cluster c2BGC are two distinct clusters, with the latter originating from gene duplication and relocation within Oryzoideae. Further comparison of the expression patterns of the MABGC genes between rice and barnyardgrass in response to pathogen infection and allelopathy provides novel insights into the functional innovation of MABGCs in plants. Our results demonstrate LGT‐mediated origination of MABGCs in grass and shed lights into the evolutionary innovation and optimization of plant biosynthetic pathways.

          Significance Statement

          How biosynthetic gene clusters (BGCs) originate and evolve is less known in eukaryotes. Momilactone A, an important defensive and allelopathic secondary chemical in plants, is synthesized by momilactone A BGCs (MABGCs). By exploiting the phylogeny and comparative genomics of the core genes of MABGC‐like clusters and MABGCs across 40 plant species, we reconstruct the evolutionary trajectory of MABGCs in grass, i.e., the PACMAD clade (including Panicoideae and Chloridoideae) acquired MABGCs from Triticeae via lateral gene transfer (LGT) of a MABGC‐like cluster and another LGT event passed the PACMAD MABGC on to Oryza. The composition of MABGCs is dynamic with gain and/or loss of genes in the recipient species after LGT. The study demonstrates that, like prokaryotes, plants are capable of moving a cluster of genes involved in the same biosynthesis pathway by LGT. The results shed light into the evolutionary innovation of BGCs and optimization of a biosynthetic pathway via synthetic biology.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            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%.
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              Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

              Recent advances in high-throughput cDNA sequencing (RNA-seq) can reveal new genes and splice variants and quantify expression genome-wide in a single assay. The volume and complexity of data from RNA-seq experiments necessitate scalable, fast and mathematically principled analysis software. TopHat and Cufflinks are free, open-source software tools for gene discovery and comprehensive expression analysis of high-throughput mRNA sequencing (RNA-seq) data. Together, they allow biologists to identify new genes and new splice variants of known ones, as well as compare gene and transcript expression under two or more conditions. This protocol describes in detail how to use TopHat and Cufflinks to perform such analyses. It also covers several accessory tools and utilities that aid in managing data, including CummeRbund, a tool for visualizing RNA-seq analysis results. Although the procedure assumes basic informatics skills, these tools assume little to no background with RNA-seq analysis and are meant for novices and experts alike. The protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results. The protocol's execution time depends on the volume of transcriptome sequencing data and available computing resources but takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
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                Author and article information

                Contributors
                fanlj@zju.edu.cn
                Journal
                Plant J
                Plant J
                10.1111/(ISSN)1365-313X
                TPJ
                The Plant Journal
                John Wiley and Sons Inc. (Hoboken )
                0960-7412
                1365-313X
                18 July 2022
                September 2022
                : 111
                : 5 ( doiID: 10.1111/tpj.v111.5 )
                : 1354-1367
                Affiliations
                [ 1 ] Hainan Institute of Zhejiang University Yonyou Industrial Park Sanya 572025 China
                [ 2 ] Institute of Crop Science & Institute of Bioinformatics Zhejiang University Hangzhou 310058 China
                [ 3 ] Biotechnology Research Center University of Tokyo 113‐8657 Tokyo Japan
                [ 4 ] State Key Laboratory for Rice Biology, China National Rice Research Institute Chinese Academy of Agricultural Sciences Hangzhou 310006 China
                [ 5 ] CSIRO Agriculture and Food, Black Mountain Laboratories Canberra ACT 2601 Australia
                Author notes
                [*] [* ] For correspondence (e‐mail fanlj@ 123456zju.edu.cn ).

                Author information
                https://orcid.org/0000-0003-1967-2264
                https://orcid.org/0000-0002-6505-7417
                Article
                TPJ15893 TPJ-00714-2022.R1
                10.1111/tpj.15893
                9544640
                35781905
                559c3be0-da89-4c01-897c-d91401904d62
                © 2022 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 22 June 2022
                : 04 March 2022
                : 29 June 2022
                Page count
                Figures: 4, Tables: 0, Pages: 14, Words: 12329
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31971865
                Award ID: 32170621
                Funded by: Department of Science and Technology , doi 10.13039/100016962;
                Award ID: LZ17C130001
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                September 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:07.10.2022

                Plant science & Botany
                biosynthetic gene cluster,diterpenoid momilactone,lateral gene transfer,grass,phylogeny

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