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      Unravelling the novel sex determination genotype with ‘ZY’ and a distinctive 2.15–2.95 Mb inversion among poplar species through haplotype‐resolved genome assembly and comparative genomics analysis

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          Abstract

          Populus tomentosa, an indigenous tree species, is widely distributed and cultivated over 1,000,000 km 2 in China, contributing significantly to forest production, ecological conservation and urban–rural greening. Although a reference genome is available for P. tomentosa, the intricate interspecific hybrid origins, chromosome structural variations (SVs) and sex determination mechanisms remain confusion and unclear due to its broad and even overlapping geographical distribution, extensive morphological variations and cross infiltration among white poplar species. We conducted a haplotype‐resolved de novo assembly of P. tomentosa elite individual GM107, which comprises subgenomes a and b with a total genome size of 714.9 Mb. We then analysed the formation of hybrid species and the phylogenetic evolution and sex differentiation across the entire genus. Phylogenomic analyses suggested that GM107 likely originated from a hybridisation event between P. alba (♀) and P. davidiana (♂) which diverged at approximately 3.8 Mya. A total of 1551 chromosome SVs were identified between the two subgenomes. More noteworthily, a distinctive inversion structure spanning 2.15–2.95 Mb was unveiled among Populus, Tacamahaca, Turaga, Aigeiros poplar species and Salix, highlighting a unique evolutionary feature. Intriguingly, a novel sex genotype of the ZY type, which represents a crossover between XY and ZW systems, was identified and confirmed through both natural and artificial hybrids populations. These novel insights offer significant theoretical value for the study of the species' evolutionary origins and serve as a valuable resource for ecological genetics and forest biotechnology.

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          Most cited references59

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          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.
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            HISAT: a fast spliced aligner with low memory requirements.

            HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical index for the human genome contains 48,000 local FM indexes, each representing a genomic region of ∼64,000 bp. Tests on real and simulated data sets showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method. Despite its large number of indexes, HISAT requires only 4.3 gigabytes of memory. HISAT supports genomes of any size, including those larger than 4 billion bases.
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              BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

              Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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                Author and article information

                Contributors
                Journal
                Molecular Ecology Resources
                Molecular Ecology Resources
                Wiley
                1755-098X
                1755-0998
                October 2024
                August 02 2024
                October 2024
                : 24
                : 7
                Affiliations
                [1 ] State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological, Sciences and Technology Beijing Forestry University Beijing China
                [2 ] College of Life Science Shanxi Normal University Taiyuan China
                [3 ] Research Institute of Subtropical Forestry Chinese Academy of Forestry Fuyang Hangzhou China
                [4 ] Shanxi Academy of Forestry and Grassland Sciences Taiyuan China
                [5 ] Key Laboratory of Silviculture and Conservation of the Ministry of Education, College of Forestry Beijing Forestry University Beijing China
                [6 ] Shandong Academy of Forestry Jinan China
                [7 ] Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations/Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of Botany, Chinese Academy of Sciences Kunming China
                [8 ] Key Laboratory of Crop Genetic Improvement & Ecology and Physiology Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences Jinan China
                [9 ] Department of Plant Physiology, Umeå Plant Science Centre Umeå University Umeå Sweden
                Article
                10.1111/1755-0998.14002
                39092596
                7c39d1d7-a00f-4b23-8302-2a8c845421bf
                © 2024

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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