Abstract
Elm (Ulmus) species are important components of forest resources with significant ecological and economic value. As tall hardwood trees that are drought-resistant, poor-soil-tolerant, and highly adaptable, Ulmus species are an excellent choice for ecologically protected forests and urban landscaping. Additionally, the bioactive substances identified in the fruits, leaves, bark, and roots of Ulmus have potential applications in the food and medical fields and as raw materials in industrial and cosmetic applications. However, the survival of Ulmus species in the natural environment has been threatened by recurrent outbreaks of Dutch elm disease, which have led to the death of large numbers of Ulmus trees. In addition, severe damage to the natural habitats of some Ulmus species is driving their populations to extinction. Omics technology has become an important tool for the collection, protection, and biological characteristic analysis of Ulmus species and their resources due to its recent advances. This article summarizes the current research and application status of omics technology in Ulmus. The remaining problems are noted, and future research directions are proposed. Our review is aimed at providing a reference for resource conservation of Ulmus and for scientific research into this genus.
Keywords: abiotic stress, biotic stress, growth and development, omics technologies, systematic evolution, Ulmus
1. Introduction
Elm (Ulmus) is an ancient tree genus that can be traced back to the Tertiary period and contains abundant germplasm resources [1]. Over 40 species have been recognized worldwide, with the majority of them distributed in northern Asia, North America, and Europe. Most Ulmus species are light-loving, with highly developed root systems that confer high drought resistance. Although the majority of Ulmus species are not resistant to high water and moisture levels, they do not have strict soil requirements [2]. These biological characteristics enable Ulmus to play a crucial role in maintaining ecological balance and protecting biodiversity [3,4,5]. Most Ulmus species are valued as a high-end material for their hard, fine-textured wood and in garden landscapes for their beautiful crown shape [6,7]. In addition, Ulmus bark, leaves, fruits, and roots contain polysaccharides, polyphenols, and other bioactive substances of value in drugs and foods [8,9]. Ulmus species are therefore not only of major ecological value but also of high economic importance, with considerable potential for further development and use. Nonetheless, research into Ulmus applications lags behind that of other tree species.
The rapid development of analytical technologies such as high-throughput sequencing, mass spectrometry, and nuclear magnetic resonance spectroscopy has led to major improvements in omics research while substantially reducing its cost [10,11]. The field of biological breeding is thus increasingly relying on omics data, including the impressive progress made in whole-genome sequencing. As of 2021, whole-genome sequencing has been completed for as many as 218 tree species worldwide [12]. This has greatly promoted the in-depth development and efficient use of forest resources and also signifies that forest research has entered the post-genomics era. However, despite the importance of Ulmus species as a forest resource, whole-genome sequencing of Ulmus has not yet been reported, greatly limiting the development and use of Ulmus resources.
Nevertheless, chloroplast genome sequencing, simplified genome sequencing, transcriptome sequencing, and metabolomics have been conducted for Ulmus in omics studies covering but not limited to phylogenetics, genetic diversity, growth and development, leaf color changes, and biotic and abiotic stress responses. This review examines recent achievements in Ulmus omics studies, with the aim of providing a better understanding of the biological characteristics of Ulmus. It also offers suggestions and references for the protection of Ulmus, the use of its genetic resources, and research into its functional genes.
2. Ulmus Plant Genomics Research
Plant cells contain both nuclear and organelle genomes, with the former accounting for 80–90% of the total DNA content, while the remaining DNA is mainly dispersed in plastids and mitochondria [13]. The smaller size and simpler structure of organelle genomes make them easier to sequence and assemble, such that a large number of plant organelle genomes have been published. Nuclear genomes, by contrast, are highly complex, have numerous repetitive sequences, and are difficult to assemble, resulting in high sequencing costs and, thus, the need for sufficient funding and support from large research institutions. For Ulmus, many organelle genomes have been sequenced, resulting in substantial progress in systematic evolutionary research focused on this genus. By contrast, published sequences of the nuclear genome of Ulmus are mostly lacking.
2.1. Progress in the Study of the Chloroplast Genomes of Ulmus
For the majority of plants, chloroplasts are semi-autonomous organelles with independent genetic material passed on via matrilineal inheritance, such that the chloroplast genome structure is highly conserved [14,15]. For tree species lacking nuclear genomic data, comparative analyses of chloroplast genome sequences among different species can provide valuable reference information for species identification, genus classification, and phylogenetic studies.
The complete sequence of the chloroplast genome of Ulmus was first reported in 2017 [16]. Since then, research on the chloroplast genome of Ulmus has progressed rapidly. According to our search of the NCBI database and the relevant literature, as of June 2024, the chloroplast genomes of 34 Ulmus species (Table 1), cultivars, and varieties have been published [16,17,18,19]. Based on those studies, the chloroplast genomes of Ulmus have a typical tetrad structure, including one large single copy (LSC), one small single copy (SSC), and two equally sized inverted repeat (IR) regions. The chloroplast genome size of Ulmus ranges from 158 to 160 kb, with the lengths of the LSC, SSC, and IRs in the range of 87–89 kb, 18–20 kb, and 26–27 kb, respectively, and a GC content (Guanine–Cytosine ratio) of 35–37%. The chloroplast genome of Ulmus is relatively conserved, with high similarities in gene quantity and sequence and few differences among species [17,19].
Table 1.
Number | Species | Genome Size (bp) | Length of LSC (bp) | Length of IRs (bp) | Length of SSC (bp) | GC Content (%) | Accession Number |
---|---|---|---|---|---|---|---|
1 | Ulmus bergmanniana | 159,767 | 88,193 | 26,297 | 18,980 | 35.5 | MT165921 |
2 | Ulmus canescens | 159,187 | 87,699 | 26,376 | 18,736 | 35.6 | MT165922 |
3 | Ulmus castaneifolia | 159,700 | 88,016 | 26,361 | 18,962 | 35.5 | MT165923 |
4 | Ulmus changii | 159,376 | 87,958 | 26,330 | 18,758 | 35.6 | MT165924 |
5 | Ulmus chenmoui | 159,528 | 87,938 | 26,296 | 18,998 | 35.5 | MT165925 |
6 | Ulmus davidiana | 159,645 | 88,249 | 26,297 | 18,802 | 35.5 | MT165927 |
7 | Ulmus densa | 159,322 | 87,910 | 26,324 | 18,764 | 35.6 | MT165928 |
8 | Ulmus gaussenii | 159,699 | 88,015 | 26,361 | 18,962 | 35.5 | MT165930 |
9 | Ulmus glabra | 159,305 | 87,916 | 26,348 | 18,693 | 35.6 | MT165931 |
10 | Ulmus glaucescens | 159,342 | 87,973 | 26,306 | 18,757 | 35.6 | MT165932 |
11 | Ulmus laciniata | 159,711 | 88,118 | 26,296 | 19,001 | 35.5 | MT165933 |
12 | Ulmus lamellosa | 159,722 | 88,244 | 26,297 | 18,884 | 35.5 | MT165935 |
13 | Ulmus macrocarpa | 159,684 | 88,048 | 26,299 | 19,038 | 35.5 | MT165937 |
14 | Ulmus microcarpus | 159,795 | 88,408 | 26,288 | 18,811 | 35.5 | MT165938 |
15 | Ulmus minor | 159,304 | 87,915 | 26,348 | 18,693 | 35.6 | MT165939 |
16 | Ulmus prunifolia | 159,712 | 88,028 | 26,361 | 18,962 | 35.5 | MT165941 |
17 | Ulmus pumila | 159,685 | 88,267 | 26,288 | 18,842 | 35.5 | MT165942 |
18 | Ulmus szechuanica | 159,588 | 88,035 | 26,296 | 18,961 | 35.5 | MT165945 |
19 | Ulmus uyematsui | 159,693 | 88,116 | 26,296 | 18,985 | 35.5 | MT165947 |
20 | Ulmus wallichiana | 159,422 | 87,993 | 26,368 | 18,693 | 35.6 | MT165948 |
21 | Ulmus davidiana var. japonica | 159,411 | 88,508 | 26,017 | 18,868 | 35.6 | KY244083 |
22 | Ulmus pumila cv. ‘zhonghuajinye’ | 159,113 | 87,994 | 26,317 | 18,485 | 35.6 | |
23 | Ulmus pumila cv. Tenue | 159,375 | 87,937 | 26,332 | 18,774 | 35.6 | MW544029 |
24 | Ulmus mianzhuensis | 159,425 | 87,584 | 26,546 | 18,749 | 35.6 | OQ130025 |
25 | Ulmus parvifolia | 159,233 | 87,800 | 26,317 | 18,799 | 35.6 | MT165940 |
26 | Ulmus lanceifolia | 158,742 | 87,170 | 26,404 | 18,764 | 35.6 | MT165936 |
27 | Ulmus serotina | 159,270 | 87,762 | 26,413 | 18,682 | 35.6 | MT165944 |
28 | Ulmus crassifolia | 159,338 | 87,839 | 26,413 | 18,673 | 35.6 | MT165926 |
29 | Ulmus alata | 159,353 | 87,792 | 26,406 | 18,749 | 36.6 | MT165919 |
30 | Ulmus elongata | 159,165 | 87,654 | 26,410 | 18,691 | 35.6 | MT165929 |
31 | Ulmus thomasii | 159,457 | 87,886 | 26,413 | 18,745 | 35.5 | MT165946 |
32 | Ulmus americana | 159,085 | 87,600 | 26,410 | 18,665 | 35.6 | MT165920 |
33 | Ulmus laevis | 159,019 | 87,529 | 26,420 | 18,650 | 35.6 | MT165934 |
34 | Ulmus rubra | 159,202 | 87,717 | 26,410 | 18,665 | 35.6 | MT165943 |
Most research on the chloroplast genomes of Ulmus has focused on phylogenetics. Such studies have shown that species in the Ulmaceae family have close phylogenetic relationships with those in the Moraceae and Cannabaceae families [16,20]. However, there are differences between the phylogenetic results obtained for Ulmus and traditional taxonomic views [2]. Overall, Ulmus can be divided into two branches. The first branch includes sections Ulmus and Microptelea, and the second sections Trichoptelea, Chaetoptelea, and Blepharocarpus, with a nesting relationship between the different sections to some extent [17,19]. According to phylogenetics, U. lanceifolia, an evergreen, should be grouped separately, not under section Ulmus, consistent with the research of Wiegrefe et al. [19,21]. Several other findings do not align with traditional taxonomic views. For instance, traditional taxonomy considers U. davidiana var. japonica as a variety of U. davidiana, but evolutionary results based on the chloroplast genome show that these two taxa do not cluster on a single branch [16]. This is also the case for U. pumila and U. pumila cv. ‘Zhonghuajinye’ [18].
Microsatellite (or simple sequence repeat, SSR) marker analysis, codon usage bias analysis, gene loss analysis, and positive selection pressure analysis have also been used to study the chloroplast genome of Ulmus. The number of SSR loci was shown to range from 110 to 130, with most distributed in the LSC and SSC regions and the fewest in the IRs, where >80% of the SSR loci belong to single-nucleotide loci. These SSR loci can serve as molecular markers for phylogenetic and population genetics studies of Ulmus [17,18]. Furthermore, distinct codon preference in the protein-coding genes of the chloroplast genomes of Ulmus species has also been demonstrated, including for U. pumila, U. laciniata, U. davidiana, U. davidiana var. japonica, and U. macrocarpa, with a higher relative frequency of usage for TTT, AAT, AAA, ATT, and TTC [16]. Positive selection pressure analysis suggests that some genes in the Ulmus chloroplast genome are subject to environmental selection, such as atpF, rps15, and rbcL, and have played crucial roles in the evolution of Ulmus [17,18]. Aziz et al. examined the chloroplast genomes in American and Asian Ulmus species and found that petB, petD, psbL, rps16, and trnK are present only in American Ulmus, whereas trnH is present in most Asian Ulmus but not in American Ulmus [20].
2.2. Progress in the Study of the Nuclear Genome of Ulmus
In 2006, the publication of the Populus trichocarpa genome marked the entry of woody plants into the genomics era [22]. With the subsequent release of the T2T genome and super pan genome of Populus, the study of woody plant genomes has further progressed [23,24,25,26]. By contrast, few advancements have been made in Ulmus nuclear genome research, and no genome of any Ulmus species has been reported. Nonetheless, research on the genomes of multiple Ulmus species is being conducted, including Ulmus glabra (PRJEB75992), U. americana (PRJNA390847), U. minor, and U. pumila [27,28].
Studies have shown that the chromosome karyotype of Ulmus follows a chromosome base of X = 14. Most Ulmus plants are diploid, with a chromosome number of 28, and no aneuploid variation has been observed [29,30,31,32]. Under natural conditions, polyploidization is rare in Ulmus, with U. americana being a special case as it includes both diploid individuals with 28 chromosomes and tetraploid individuals with 56 chromosomes [33,34]. Zhang et al. successfully induced tetraploidy in U. pumila using colchicine; light energy utilization efficiency and net photosynthetic rate were significantly higher in the tetraploid plants than in the diploid plants [35]. However, variations in the chromosome number of Ulmus plants are not limited to diploidy and tetraploidy; triploids have been observed in some species, including U. americana, U. glabra, U. pumila, and other species [34,36,37]. These findings suggest that polyploid breeding techniques can be applied in the genetic improvement of Ulmus.
Genome size is an important factor in genome sequencing, population diversity analysis, and studies of interspecific parentage relationships [38]. Using flow cytometry, Whittemore et al. found a wide variation in the genome size of the 33 analyzed Ulmus species, ranging from U. wallichiana, with has a haploid genome of 2.037 Gb, to U. villosa, with a haploid genome of 1.064 Gb (Table 2). The results of that study also provided strong molecular evidence for the subgenus classification of Ulmus species. For example, they showed that the genome size of various Ulmus plants within the same subgenus was basically the same; the average genome size of 23 species in subgenus Ulmus was 1.897 Gb, and that of nine species in subgenus Oreoptelea was 1.520 Gb, representing a difference of approximately 30%. In addition, because of the large genomic differences between U. villosa and other Ulmus species, U. villosa was proposed as a third subgenus [39]. However, we found that the experimental results and sequencing assembly results for certain Ulmus species reported by Whittemore et al. were inconsistent with the literature. In the NCBI database, the genome of U. americana has been updated in three versions, with sizes ranging from 0.865 to 1.3 Gb, whereas according to Whittemore et al., the haploid gene size of U. americana ranges from 1.469 to 1.607 Gb. A similar problem was identified for U. minor. According to the literature, the size of its preliminary genome is 1.09 Gb, whereas Whittemore et al. reported a size range of the haploid genome of 1.821–2.007 Gb [28]. Given that the final genome sequences of U. americana and U. minor have not yet been published, the authenticity of these differences has yet to be verified.
Table 2.
Number | Species | 2Cy (pg) | 1Cxx (pg) | Number of Bases (Gb) | Subgenus |
---|---|---|---|---|---|
1 | U. alata | 2.998–3.142 | 1.499–1.571 | 1.466–1.536 | Subg. Oreoptelea |
2 | U. americana 2x | 3.088–3.196 | 1.544–1.598 | 1.510–1.563 | Subg. Oreoptelea |
3 | U. americana ‘Jefferson’ 3x | 4.652 | 1.551 | 1.517 | Subg. Oreoptelea |
4 | U. americana 4x | 6.007–6.572 | 1.501–1.643 | 1.469–1.607 | Subg. Oreoptelea |
5 | U. crassifolia | 3.106–3.223 | 1.553–1.612 | 1.519–1.576 | Subg. Oreoptelea |
6 | U. elongata | 3.000 | 1.500 | 1.467 | Subg. Oreoptelea |
7 | U. laevis | 2.975–3.032 | 1.488–1.516 | 1.455–1.483 | Subg. Oreoptelea |
8 | U. serotina | 3.091 | 1.546 | 1.511 | Subg. Oreoptelea |
9 | U. thomasii | 2.975–3.201 | 1.488–1.601 | 1.455–1.565 | Subg. Oreoptelea |
10 | U. castaneifolia | 3.838–3.969 | 1.919–1.985 | 1.877–1.941 | Subg. Ulmus |
11 | U. changii | 3.721–3.891 | 1.861–1.946 | 1.820–1.903 | Subg. Ulmus |
12 | U. chenmoui | 3.874–3.979 | 1.937–1.990 | 1.894–1.946 | Subg. Ulmus |
13 | U. davidiana var. davidiana | 3.734–3.908 | 1.867–1.954 | 1.826–1.911 | Subg. Ulmus |
14 | U. davidiana var. japonica | 3.633–3.781 | 1.817–1.891 | 1.777–1.849 | Subg. Ulmus |
15 | U. davidiana var. uncertain | 3.649 | 1.825 | 1.784 | Subg. Ulmus |
16 | U. glabra | 3.947–4.058 | 1.974–2.029 | 1.930–1.984 | Subg. Ulmus |
17 | U. glaucescens var. glaucescens | 3.674 | 1.837 | 1.797 | Subg. Ulmus |
18 | Ulmus harbinensis | 3.804 | 1.902 | 1.860 | Subg. Ulmus |
19 | U. laciniata var. laciniata | 3.759 | 1.880 | 1.838 | Subg. Ulmus |
20 | U. laciniata var. nikkoensis | 3.961 | 1.981 | 1.937 | Subg. Ulmus |
21 | U. lamellosa | 3.771–3.955 | 1.886–1.978 | 1.844–1.934 | Subg. Ulmus |
22 | U. macrocarpa var. macrocarpa | 3.987 | 1.994 | 1.950 | Subg. Ulmus |
23 | Ulmus microcarpa 3x | 5.678 | 1.839 | 1.851 | Subg. Ulmus |
24 | U. minor | 3.724–4.104 | 1.862–2.052 | 1.821–2.007 | Subg. Ulmus |
25 | U. parvifolia | 3.837–3.919 | 1.919–1.960 | 1.876–1.916 | Subg. Ulmus |
26 | U. prunifolia | 3.874 | 1.937 | 1.894 | Subg. Ulmus |
27 | Ulmus pseudopropinqua | 3.732 | 1.866 | 1.825 | Subg. Ulmus |
28 | U. pumila | 3.671–3.92 | 1.836–1.960 | 1.795–1.917 | Subg. Ulmus |
29 | U. rubra | 3.77–4.006 | 1.885–2.003 | 1.844–1.959 | Subg. Ulmus |
30 | U. szechuanica | 3.711–3.781 | 1.856–1.891 | 1.815–1.849 | Subg. Ulmus |
31 | U. uyematsui | 4.023 | 2.012 | 1.967 | Subg. Ulmus |
32 | U. wallichiana | 4.165 | 2.082 | 2.037 | Subg. Ulmus |
33 | Ulmus villosa | 2.175–2.277 | 1.088–1.139 | 1.064–1.113 | Subg. Indoptelea |
Note: 2Cy represents the measured DNA content of one nucleus, and 1Cxx represents the DNA content of a haploid chromosome [39].
DNA molecular markers are a new generation of genetic markers developed based on nucleotide sequence differences, reflecting differences at the DNA level. They are an important tool in studies of the genetic diversity of species at the genome level [40,41]. In Ulmus, DNA molecular marker technology, including molecular marker techniques such as amplified fragment length polymorphism (AFLP), randomly amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), inter simple sequence repeat (ISSR), sequence-related amplified polymorphism (SRAP), and SSR, has been extensively applied in genetic diversity studies, phylogenetic analysis, species identification, genetic relationship determinations, pathogen identification, trait association analysis, linkage mapping of disease resistance genes, environmental adaptability studies, and to assess endangered species protection measures (Table 3). In addition, with the aid of the new generation of simplified genome sequencing technology, a large number of single-nucleotide polymorphism (SNP) and small-fragment insertion/deletion variation (Indel) markers can be developed, which will facilitate studies of Ulmus species lacking a reference genome. Whittemore et al. used restriction site-associated DNA sequencing technology to construct simplified genomes for multiple Ulmus species. Using SNP and Indel markers, they analyzed the phylogenetic and taxonomic relationships of more than 30 Ulmus species, from which they inferred the migration of Ulmus species across continents by combining morphological variations and hybridization relationships among species. The authors suggested dividing Ulmus into three subgenera and six sections and that U. villosa should be classified as subgenus Indoptelea, consistent with their previous research findings [39,42]. Lyu et al. used specific locus amplified fragment sequencing technology to analyze the SNP loci of 107 U. parvifolia individuals in seven populations. Moderate genetic diversity and little genetic differentiation were demonstrated among populations. Furthermore, association analysis of phenotypic traits and SNP loci identified a number of genes related to environmental adaptation. These studies have deepened our understanding of the genetic diversity and environmental adaptation of U. parvifolia and other Ulmus species [43].
Table 3.
Number | Types | Content | Species |
---|---|---|---|
1 | AFLP | Variety identification and genetic diversity analysis. | U. Minor, U. glabra, U. americana, U. laevis, U. parvifolia, Ulmus carpinifolia, U. rubra, U. pumila, U. bergmanniana, U. szechuanica, U. minor, etc. [44,45,46,47]. |
2 | RAPD | Genetic diversity analysis, linkage mapping of disease resistance-related genes, kinship identification, and variety identification. | U. pumila, U. parvifolia, U. glabra, Ulmus plotii, U. minor, U. laevis, U. americana, etc. [48,49,50,51,52]. |
3 | RFLP | Variety identification and pathogen identification. | U. americana, U. rubra, U. parvifolia, Ulmus wilsoniana, U. pumila, etc. [49,53]. |
4 | ISSR | Identification of kinship relationships and analysis of genetic diversity. | U. pumila, Ulmus propinqua, U. davidiana, U. laevis, U. macrocarpa, U. laciniata, U. parvifolia, U. davidiana var. japonica, U. pumila cv. ‘zhonghuajinye’, etc. [54,55,56]. |
5 | SRAP | Analysis of genetic diversity. | U. Lamellosa, etc. [57]. |
6 | SSR | Leaf morphology association analysis, genetic diversity analysis, and conservation of endangered species. | U. minor, U. glabra, U. laevis, U. wallichiana, U. gaussenii, U. pumila, etc. [58,59,60,61]. |
7 | SNP/Indel | Phylogenetic analysis, genetic diversity analysis, and environmental adaptability analysis. | U. microcarpa, U. castaneifolia, U. davidiana, U. chenmoui, U. prunifolia, U. szechuanica, U. changii, U. castaneifolia, U. davidiana var. japonica, U. pumila, U. minor, U. lamellosa, U. macrocarpa, U. wallichiana, U. laciniata, U. uyematsui, U. rubra, U. glabra, U. villosa, U. laevis, U. thomasii, U. alata, U. crassifolia, U. serotina, U. elongata, Ulmus mexicana, U. americana, U. parvifolia, etc. [42,43]. |
3. Ulmus Transcriptomics
Transcriptome analysis can reveal the expression patterns of genes. By comparing gene expression in different tissues or physiological states, the molecular mechanism of specific biological processes can be explored. Transcriptome technology has been used widely in Ulmus studies, including research into its molecular markers, growth and development, leaf color change, stress response, abiotic stress response, and adaptive evolution (Table 4). However, the focus of those studies was only on a few species, mostly U. pumila, U. pumila cv. ‘Zhonghuajinye’, U. americana, U. minor, and U. wallichiana. Moreover, most transcriptomic studies on Ulmus species involved non-reference transcriptomes. This approach involves reconstructing gene sequences and functionalities mainly through reads assembly and subsequent alignment with databases, such as the non-redundant protein database (NR) and universal protein database (UniProt). As a result, there is room for improvement in the accuracy of gene function annotation and quantitative analysis in these studies.
Table 4.
Number | Species | Content | Mode of Analysis |
---|---|---|---|
1 | U. pumila [6] | Growth of branches. | Non-reference |
2 | U. pumila [62] | Fruit development and nutritional elements. | Non-reference |
3 | U. pumila [63] | Growth of branches. | Non-reference |
4 | U. pumila [64] | Response to salt stress. | Non-reference |
5 | U. pumila [65] | Response to salt stress. | Non-reference |
6 | U. pumila [66] | Development of seeds. | Non-reference |
7 | U. pumila [67] | Development of molecular markers. | Non-reference |
8 | U. pumila [68] | Response to salt stress. | Non-reference |
9 | U. pumila [69] | Aging of seeds. | Non-reference |
10 | U. pumila [70] | Physiological characteristics of plants with different ploidy. | Non-reference |
11 | U. pumila [71] | Photosynthetic characteristics of albino plants. | Non-reference |
12 | U. pumila cv. ‘zhonghuajinye’ [27] | The high temperature caused the leaves to turn white. | Reference |
13 | U. pumila cv. ‘zhonghuajinye’ [7] | Shading causes the leaves to regreen. | Non-reference |
14 | U. pumila cv. ‘zhonghuajinye’ [72] | Changes in leaf color. | Non-reference |
15 | U. pumila cv. ‘zhonghuajinye’ [73] | Growth inhibition and leaf color changes. | Non-reference |
16 | U. pumila cv. ‘zhonghuajinye’ [74] | Sunburn caused the leaves to turn white. | Non-reference |
17 | U. pumila cv. ‘zhonghuajinye’ [75] | Physiological characteristics of plants with different ploidy. | Non-reference |
18 | U. pumila cv. ‘zhonghuajinye’ [76] | Response to drought stress. | Reference |
19 | U. wallichiana [61] | Development of molecular markers. | Non-reference |
20 | U. wallichiana [77] | Seasonal senescence and abiotic stress responses. | Non-reference |
21 | U. americana [78] | The transcriptional regulation of plants resistant to DED and plants susceptible to DED. | Non-reference |
22 | U. americana [79] | Research on the development and adaptive evolution of transcript information. | Non-reference |
23 | U. americana [80] | Analysis and identification of DED pathogenic genes. | Non-reference |
24 | U. minor [81] | Response to drought and pathogen stress. | Non-reference |
25 | U. minor [82] | The impact of insect egg deposition on resistance to pests. | Non-reference |
26 | U. davidiana var. japonica [83] | Transcriptional regulation of gall formation. | Non-reference |
27 | Other elm trees [84] | Transcriptional regulation of gall formation. | Non-reference |
28 | Other elm trees [85] | Transcriptional regulation of gall formation. | Non-reference |
3.1. Growth and Development
The wood of Ulmus is known for its wear- and corrosion-resistant properties, which accounts for its use in landscape decoration, furniture manufacturing, and shipbuilding. In addition, the leaves and fruits of Ulmus are of high nutritional value and potential medicinal interest. Studying Ulmus growth and development through transcriptomic methods will provide a deeper understanding of their unique developmental mechanisms and accelerate the creation of new cultivars. Comparisons of branch growth from different Ulmus varieties and at different periods have shown that phenylpropanoid biosynthesis and the lignin metabolic pathway play significant roles in branch thickening [6]. From February to March, the cambium of Ulmus branches resumes growth, accompanied by the expression of genes such as CDKB, CYCB, WOX4, and ARF5. From May to June, carbon allocation in Ulmus shifts from sugar synthesis to cellulose and lignin synthesis. This period is marked by the up-regulation of genes related to cellulose, xylan, and lignin biosynthesis [63]. Research on Ulmus fruit shows that genes related to the biosynthesis of unsaturated fatty acids and jasmonic acid are involved in the development of elm fruit, whereas genes related to starch and sucrose synthesis, which enhance nutrient accumulation, are expressed during the late stage of fruit ripening [62,66]. In addition, the expression patterns of a series of key genes and metabolic pathways in the biological processes of tissue aging in elm trees have been extensively studied. Genes such as SWEET1, SCPL, SAG29, ERF019, and GALT6 are differentially expressed during leaf senescence, which may be closely related to its molecular regulation [77]. Research on the aging of Ulmus seeds has shown the differential expression of genes related to endoplasmic reticulum protein processing, plant hormone signaling transduction, the MAPK signaling pathway, and oxidative phosphorylation. Seed aging has also been linked to microRNAs (miRNAs) [69]. In a study in which the cellular microstructure and transcriptome were used to investigate the potential mechanism of growth inhibition in U. pumila cv. ‘Zhonghuajinye’, abnormalities in chloroplasts structure were detected, including the grana lamella stacking failures and fewer thylakoid grana slice layers. In addition, decreases in light energy absorption, conversion, and transport, carbon dioxide fixation, lipopolysaccharide biosynthesis, auxin synthesis, and protein transport in U. pumila cv. ‘Zhonghuajinye’ compared to U. pumila were determined. Conversely, genes related to respiration and starch consumption were found to be more highly expressed in U. pumila cv. ‘Zhonghuajinye’. This expression pattern may serve to inhibit the growth of U. pumila cv. ‘Zhonghuajinye’ [73].
3.2. Leaf Color Changes
Ulmus trees have an elegant shape and a graceful presence, which accounts for their high ornamental and cultural value [86]. U. pumila cv. ‘Zhonghuajinye’ is characterized by its golden yellow foliage, fine and dense branches and leaves, and suitability as both a tall tree and shrub [87]. However, under certain environmental conditions, the leaf color of U. pumila cv. ‘Zhonghuajinye’ undergoes significant changes. Specifically, when the light intensity decreases, the golden yellow leaves gradually revert to green; under high temperature or high light intensity, the leaves turn white [74,88,89,90]. This change reflects the dynamic instability of leaf color in U. pumila cv. ‘Zhonghuajinye’, a property that has been exploited in studies aimed at elucidating the coloration mechanism of its leaves. For example, the expression of genes related to carotenoid synthesis, and thus the relative content of carotenoids, is higher in the leaves of U. pumila cv. ‘Zhonghuajinye’ than in those of U. pumila [73]. This may partially explain the golden yellow leaf color of U. pumila cv. ‘Zhonghuajinye’. Under reduced light, the chloroplast structure of U. pumila cv. ‘Zhonghuajinye’ gradually returns to normal, which alters the expression of genes related to chlorophyll synthesis and metabolism, including HemB, HemE, HemF, and HemY. The relative content of chlorophyll therefore increases, causing greening of the golden yellow leaves [7,91].
Seasonal changes in the leaf color of U. pumila cv. ‘Zhonghuajinye’ have also been examined. The seasonal leaf color changes in U. pumila cv. ‘Zhonghuajinye’ are under the integrated regulation of metabolic pathways such as chlorophyll, carotenoids, and flavonoids. A study using weighted gene co-expression network analysis (WGCNA) identified a gene, UpCrtR-b, related to carotenoid synthesis. Its overexpression in tobacco significantly increased carotenoid accumulation, such that tobacco leaves turned yellow [72].
Leaf albinism has also been observed in U. pumila and U. pumila cv. ‘Zhonghuajinye’. In both, genes related to chlorophyll synthesis and photosynthesis are expressed at lower levels in white leaves. The low content of photosynthetic pigments and the resulting poor photosynthetic performance may be related to an abnormal chloroplast structure [27,71].
3.3. Biotic Stress
In natural environments, plant growth and development are often threatened by biological stresses in the form of infections by fungi, bacteria, viruses, and insects. In China, Ulmus is vulnerable to over 200 pest species. These have mainly been classified as drilling column pests, leaf-eating pests, and piercing sucking pests [92]. The main diseases of Ulmus are elm canker, elm anthracnose, black spot of elm, and Dutch elm disease (DED). Most of the pathogens are fungi, but in some cases, pathogenic organisms can be transmitted by pests [93,94]. DED, caused by pathogenic fungi of Ophiostoma, is one of the most destructive diseases of Ulmus. The two major outbreaks of DED, in Europe and North America, during the last century severely impacted local Ulmus populations [95]. Transcriptome analyses performed to investigate the pathogenic process of DED revealed that in DED-resistant Ulmus, the expression of genes such as RPM1, pathogenesis-related genes, phenylpropanoid biosynthetic pathway genes, and genes related to lignin polymerization was enhanced following infection. Ulmus may therefore employ a strategy of effector-triggered immunity to combat the invasion of pathogenic fungi [78]. In further research, a co-expression network comprising pathogen genes expressed during Ulmus infection was constructed, identifying a large number of candidate pathogenicity genes. Their further study will aid in elucidating the interaction mechanisms between Ulmus and pathogenic fungi [80].
In Ulmus leaves damaged by certain insects, abnormal tumors or protrusions, known as galls, may develop [96,97]. Related studies have shown that the jasmonic acid signaling pathway is mostly defective in gall tissues, suggesting the involvement of this pathway in their formation [83]. A large number of genes related to oxidative stress defense and signaling pathways may also be activated during gall formation [85]. The up-regulation of genes associated with cell proliferation and respiration during the initial stages of insect gall development was demonstrated in comparative transcriptome analyses conducted across various stages of insect gall formation. Among the genes markedly up-regulated during the insect gall formation and growth phases are those encoding lipoxygenases, glutathione S-transferases, superoxide dismutases, and protease inhibitors. During the insect gall opening phase, the expression of genes encoding lignocellulose synthesis enzymes is increased. These insights provide information to help elucidate the molecular regulatory mechanisms governing the development of insect galls [84].
3.4. Abiotic Stress
As plants are fixed organisms that cannot move freely in the natural environment, they are unable to avoid abiotic stresses, such as drought, high temperature, cold, and waterlogging, during their growth and development [98]. Anthropogenic abiotic stresses, such as air pollution, chemical pollution, microplastic pollution, and heavy metal pollution, also increasingly threaten plant growth [99,100,101]. However, through long-term natural selection, plants have evolved multiple mechanisms to cope with many abiotic stresses and maintain normal life activities [102]. Ulmus is highly resistant to abiotic stress, and the molecular mechanisms responsible for this resistance can be analyzed using transcriptomics techniques. The data obtained in such studies are important to support the breeding of stress-resistant trees.
High-salt environments have become common; their effects on plants include ionic stress, osmotic stress, and secondary damage. A transcriptome study of U. pumila under high salt stress showed the enrichment of genes in biological pathways such as photosynthesis, carbon fixation, and plant hormone signaling. The overexpression of UpPETH and UpWAXY, previously detected by WGCNA, can significantly improve the salt tolerance of Arabidopsis thaliana [65]. Further research has shown that certain genes involved in the regulation of circadian rhythm (such as CRY2, ELF3, ZTL, and PRR5) may also regulate the response of U. pumila to salt stress by affecting photosynthesis, thiamine metabolism, plant hormone signaling, and MAPK signaling pathways [64]. A study of U. pumila under high salt stress identified 303 miRNAs that responded to high salt stress. These miRNAs were shown to target and regulate 232 mRNAs, including those with a crucial role in the resistance of U. pumila to abiotic stress [68].
In their study on the response of U. pumila cv. ‘Zhonghuajinye’ to water stress, Zhang et al. revealed the differentially expressed genes are associated with biological pathways such as photosynthesis, starch and sucrose metabolism, tyrosine metabolism, the biosynthesis of abscisic acid, and amino sugar and nucleotide sugar metabolism. The expression of these genes promoted the accumulation of osmotic substances that enhanced the drought tolerance of U. pumila cv. ‘Zhonghuajinye’ [76]. Studies on U. minor demonstrated important roles for transcription factors such as MYB, DREB, HSF, and LEA proteins in the response to water stress [81]. A comparative transcriptome study of U. wallichiana during summer and winter revealed a complex and dynamic regulatory process in response to seasonal changes, including seasonal differences in the expression of DREB genes, which are thought to regulate plant tolerance to cold and drought stress [77].
4. Ulmus Metabolomics Research
The diverse edible components and medicinal properties of Ulmus have stimulated research into the nutritional and pharmacological properties of Ulmus [103,104,105,106,107]. Metabolomics, which enables qualitative and quantitative analyses of all small-molecule metabolites in biological tissues or cells during a specific period, can reflect the physiological and biochemical status of the organism [108].
Despite its potential for broad application in Ulmus, metabolomics research has been conducted only with respect to its medicinal components, biotic stress, and abiotic stress. The seeds and bark of U. parvifolia are rich in medicinal compounds and have been widely used in the treatment of inflammation. In a metabolomics study of the seeds and bark of U. parvifolia by Yin et al., 574 differentially expressed metabolites shared between the two organs were detected, including various bioactive compounds with antioxidant, anti-inflammatory, and anticancer activities, such as flavonoids, terpenosides, triterpenes, and sesquiterpenes. Seeds contained the highest contents of flavonoids and sesquiterpenes, while bark were mainly composed of terpenoid glycosides and triterpenoids [109].
Metabolomics was also used to analyze the physiological response of Ulmus to drought stress, with the results showing that Ulmus regulates cell osmotic pressure and prevents oxidative damage to their cells by increasing the cellular content of soluble sugars and amino acids. Specifically, under mild to moderate drought stress, the changes in primary metabolites were not significant, but the levels of raffinose and myo-inositol increased while those of citrate and malate decreased. During severe drought, there is a significant elevation in the contents of most amino acids as well as in the levels of mannitol, fructose, and glucose, among other metabolites [110,111].
Different species of Ulmus react inconsistently to the pathogen causing DED. When Ophiostoma novo-ulmi was inoculated onto U. laevis, U. glabra, and U. minor, the most severe response was that of U. minor, including a significant change in one-third of the metabolite content even 14 days post-inoculation. Under conditions of adequate irrigation followed by pathogen inoculation, metabolites such as isoleucine, phenylalanine, tryptophan, myo-inositol, and raffinose increased, whereas under conditions of drought followed by pathogen inoculation, metabolites such as GABA, glutamate, quinate, glucose, mannose, and sucrose decreased. The same study found that, 120 days after pathogen inoculation, U. minor exhibited the weakest symptoms of DED, indicating that the strong early changes in metabolites provided a degree of protection against the pathogen [110].
5. Current Problems and Prospects
5.1. Insufficient Assistance of Omics Data in the Study of Ulmus
Omics data have undeniably paved the way for advancements in the phylogenetic study of Ulmus species. However, unresolved issues persist, and nuclear genomic data are crucial for unlocking these mysteries. Despite the current research landscape, the absence of an officially published Ulmus species genome is a considerable hindrance to phylogenetic research. Fortunately, there is still hope, as full-length transcriptome sequencing or simplified genome sequencing offers feasible alternatives for obtaining detailed nuclear genome genetic information. It is important to note, however, that these advanced omics techniques have been applied to only a few species [42,43,112]. Nonetheless, given the valuable insights that can be obtained with these methods, whole-genome sequencing, full-length transcriptome sequencing, and simplified genome sequencing studies of Ulmus species should be supported and prioritized, as they will provide a foundation for the phylogenetic, resource conservation, and development and use of Ulmus.
Despite the large amount of published omics data on Ulmus, especially transcriptome sequencing and chloroplast genome data, they have not been fully used in gene mining and other applications. Most of the existing transcriptomes for Ulmus species are based on second-generation sequencing technology without a reference genome, such that the completeness of the gene structures and the accuracy of gene expression quantification need to be improved. Moreover, transcriptome sequencing has been limited to a few species, particularly U. pumila and U. pumila cv. ‘Zhonghuajinye’. In addition, several sets of chloroplast genome data have been made public for certain species of Ulmus. For example, published chloroplast genome data of U. parvifolia and U. americana cover six and five individuals, respectively. However, the majority of chloroplast genome data have primarily been used for phylogenetic research, with fewer applications in other areas, such as the development and application of SSR molecular markers and DNA barcoding or the analysis of chloroplast genome variation. Existing omics data thus remain to be further exploited as a driving force for scientific innovation.
5.2. Gene Mining and Functional Research of Ulmus
Ulmus has existed for over 65 million years. During their long evolution and through natural selection, Ulmus has evolved into many species with differing biological characteristics. For example, most Ulmus species bloom in spring, but U. parvifolia blooms in autumn. Meanwhile, most Ulmus species are deciduous, with the exception of U. lanceifolia, which is evergreen [2]. Furthermore, Ulmus species have a wide distribution and strong adaptability, and they produce edible fruits as well as compounds of medicinal value. Elucidating these biological characteristics has been facilitated by omics techniques; nonetheless, research focusing on the gene functions and regulatory mechanisms of Ulmus species has mostly been limited to gene cloning, gene expression, and functional validation through heterologous transformation. We, therefore, propose forthcoming research centers on exploiting omics data to pinpoint and delve into significant functional genes and intensively analyze the mechanisms regulating gene expression. The follow-up utilization of genetic transformation techniques to investigate gene functions would then be able to offer invaluable points of reference for the genetic improvement of elms.
5.3. Genetically Engineered Breeding System for Ulmus
Omics research can yield rich genetic information for forest research. Genetically engineered breeding is an important way to transform the products of this research into practical applications. Tissue culture plays a crucial role in genetic engineering, and relatively complete tissue culture systems have been established for some Ulmus species, such as U. laevis, U. glabra, U. parvifolia, and U. pumila [113,114,115]. In addition, somatic embryos have been successfully induced using U. glabra leaves [116]. However, challenges in the development of tissue culture systems for Ulmus species remain, such as the low rooting efficiency of some Ulmus species and the varying capacities for regeneration and rooting of different genotypes of Ulmus species [113,117]. A model species of Ulmus that can be easily cultivated and genetically transformed would promote the application of Ulmus species omics data.
Among the many Ulmus species, genetic transformation has been reported only for U. americana and U. procera [118,119]. The scarcity of reports on the genetic transformation of Ulmus species may be due to technical challenges. In recent years, a number of genetic transformation technologies with simple operation and high transformation rates have been developed, such as gene delivery mediated by nanoparticles [120], cut–dip–budding transformation [121], and regenerative activity dependence in planta injection delivery [122]. Their application in the genetic transformation of Ulmus species may lead to an efficient genetic transformation system suitable for Ulmus species.
Author Contributions
Conceptualization, S.W., J.W. and M.Y.; methodology, S.W., L.Z. and Y.L.; formal analysis, S.W., L.L., M.J. and M.H.; writing—original draft preparation, S.W. and L.Z.; writing—review and editing, Y.L., L.L., M.J., M.H., J.W. and M.Y. All authors have read and agreed to the published version of the manuscript.
Conflicts of Interest
There is no conflict of interest regarding the publication of this article.
Funding Statement
This research was funded by the Province Key Research and Development Program of HeBei with grant number 21326301D. We thank other students in our lab for their help in the work.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Li J. The historical and current status of elm cultivation in Shandong. J. Shandong For. Sci. Technol. 1985:65–67. [Google Scholar]
- 2.Fu L. Systematic study of the genus Ulmus in China. J. Northeast For. Univ. 1980:1–40. [Google Scholar]
- 3.Martín J.A., Sobrino-Plata J., Rodríguez-Calcerrada J., Collada C., Gil L. Breeding and scientific advances in the fight against Dutch elm disease: Will they allow the use of elms in forest restoration? New For. 2019;50:183–215. doi: 10.1007/s11056-018-9640-x. [DOI] [Google Scholar]
- 4.Li G., Yao Y., Zou S., Liu L., Wei Y., Jiang P. Studies on elm woodland steppe in Kerqin sandy land. J. Arid Land Resour. Environ. 2004:132–138. [Google Scholar]
- 5.Heybroek H.M. Why bother about the elm? In: Sticklen M.B., Sherald J.L., editors. Dutch Elm Disease Research: Cellular and Molecular Approaches. Springer; New York, NY, USA: 1993. pp. 1–8. [Google Scholar]
- 6.Zhang L., Xie S., Yang C., Cao D., Fan S., Zhang X. Comparative transcriptome analysis reveals candidate genes and pathways for potential branch growth in elm (Ulmus pumila) cultivars. Biology. 2022;11:711. doi: 10.3390/biology11050711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Zhang S., Zuo L., Zhang J., Chen P., Wang J., Yang M. Transcriptome analysis of Ulmus pumila ‘Jinye’ responses to different shading involved in chlorophyll metabolism. Tree Genet. Genom. 2017;13:64. [Google Scholar]
- 8.Kim S.I., Sim K.H., Choi H.Y. A comparative study of antioxidant activity in some Korean medicinal plant used as food materials. Mol. Cell. Toxicol. 2010;6:279–285. doi: 10.1007/s13273-010-0038-x. [DOI] [Google Scholar]
- 9.Kim K.B., Jo B.S., Park H.J., Park K.T., An B.J., Ahn D.H., Kim M.U., Chae J.W., Cho Y.J. Healthy functional food properties of phenolic compounds isolated from Ulmus pumila. Korean J. Food Preserv. 2012;19:909–918. doi: 10.11002/kjfp.2012.19.6.909. [DOI] [Google Scholar]
- 10.Pollie R. Genomic sequencing costs set to head down again. Engineering. 2023;23:3–6. doi: 10.1016/j.eng.2023.02.002. [DOI] [Google Scholar]
- 11.Su X., Ma Y., Yang X., Kong J., Zuo X., Zhao M. Progress of researches in tea science by omics technologies. Sci. Technol. Food Ind. 2017;38:333–340. [Google Scholar]
- 12.Yang Z., Yang Y. Research advances on nuclear genomes of economically important trees of Lauraceae. Chin. Bull. Bot. 2024;59:302–318. [Google Scholar]
- 13.Wang S. Ph.D. Thesis. Northeast Forestry University; Harbin, China: 2020. Whole-Genome Sequencing and Analysis of Betula platyphylla. [Google Scholar]
- 14.Huang J., Chen T., Miao S. Research progress of chloroplast genome in Lagerstroemia spp. Guangdong Agric. Sci. 2022;49:52–61. [Google Scholar]
- 15.Liu H., Liu L., Wang Z., Yu L., Li J., Zeng Y. Research progress on chloroplast genome of Orchidaceae. Chin. Wild Plant Resour. 2023;42:73–79. [Google Scholar]
- 16.Zuo L., Shang A., Zhang S., Yu X., Ren Y., Yang M., Wang J. The first complete chloroplast genome sequences of Ulmus species by de novo sequencing: Genome comparative and taxonomic position analysis. PLoS ONE. 2017;12:e0171264. doi: 10.1371/journal.pone.0171264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lin N., Liu R., Wang Y., Guo P., Wang Y., Liu Y., Shang F. The complete chloroplast genome of Ulmus mianzhuensis with insights into structural variations, adaptive evolution, and phylogenetic relationships of Ulmus (Ulmaceae) BMC Genom. 2023;24:366. doi: 10.1186/s12864-023-09430-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Liu Y., Li Y., Feng S., Yan S., Wang J., Huang Y., Yang M. Complete chloroplast genome structure of four Ulmus species and Hemiptelea davidii and comparative analysis within Ulmaceae species. Sci. Rep. 2022;12:15953. doi: 10.1038/s41598-022-20184-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhang Q., Deng M., Bouchenak-Khelladi Y., Zhou Z., Hu G., Xing Y. The diversification of the northern temperate woody flora—A case study of the elm family (Ulmaceae) based on phylogenomic and paleobotanical evidence. J. Syst. Evol. 2022;60:728–746. doi: 10.1111/jse.12720. [DOI] [Google Scholar]
- 20.Ebrahimi A., Antonides J.D., Pinchot C.C., Slavicek J.M., Flower C.E., Woeste K.E. The complete chloroplast genome sequence of American elm (Ulmus americana) and comparative genomics of related species. Tree Genet. Genomes. 2021;17:5. doi: 10.1007/s11295-020-01487-3. [DOI] [Google Scholar]
- 21.Wiegrefe S.J., Sytsma K.J., Guries R.P. Phylogeny of elms (Ulmus, Ulmaceae): Molecular evidence for a sectional classification. Syst. Bot. 1994;19:590–612. doi: 10.2307/2419779. [DOI] [Google Scholar]
- 22.Tuskan G.A., Difazio S., Jansson S., Bohlmann J., Grigoriev I., Hellsten U., Putnam N., Ralph S., Rombauts S., Salamov A. The genome of black cottonwood, Populus trichocarpa (Torr. & Gray) Science. 2006;313:1596–1604. doi: 10.1126/science.1128691. [DOI] [PubMed] [Google Scholar]
- 23.Zhou R., Jenkins J.W., Zeng Y., Shu S., Jang H., Harding S.A., Williams M., Plott C., Barry K.W., Koriabine M. Haplotype-resolved genome assembly of Populus tremula × P. alba reveals aspen-specific megabase satellite DNA. Plant J. 2023;116:1003–1017. doi: 10.1111/tpj.16454. [DOI] [PubMed] [Google Scholar]
- 24.Shi T., Jia K., Bao Y., Nie S., Tian X., Yan X., Chen Z., Li Z., Zhao S., Ma H. High-quality genome assembly enables prediction of allele-specific gene expression in hybrid poplar. Plant Physiol. 2024;195:652–670. doi: 10.1093/plphys/kiae078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Liu W., Liu C., Chen S., Wang M., Wang X., Yu Y., Sederoff R.R., Wei H., You X., Qu G. A nearly gapless, highly contiguous reference genome for a doubled haploid line of Populus ussuriensis, enabling advanced genomic studies. For. Res. 2024;4:e019. doi: 10.48130/forres-0024-0016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shi T., Zhang X., Hou Y., Jia C., Dan X., Zhang Y., Jiang Y., Lai Q., Feng J., Feng J. The super-pangenome of Populus unveils genomic facets for its adaptation and diversification in widespread forest trees. Mol. Plant. 2024;17:725–746. doi: 10.1016/j.molp.2024.03.009. [DOI] [PubMed] [Google Scholar]
- 27.Liu Y., Wang S., Feng S., Yan S., Li Y., Huang Y., Yang M. Combined whole transcriptome analysis and physical-chemical reveals the leaf color change mechanism of Ulmus pulima under heat stress. Environ. Exp. Bot. 2023;210:105347. doi: 10.1016/j.envexpbot.2023.105347. [DOI] [Google Scholar]
- 28.Pallarés Zazo J. Master’s Thesis. Universitat Oberta de Catalunya; Catalunya, Spain: 2021. Evaluación de Métodos de Ensamblado de Novo del Genoma de Ulmus minor. [Google Scholar]
- 29.Oginuma K., Raven P.H., Tobe H. Karyomorphology and relationships of Celtidaceae and Ulmaceae (Urticales) Bot. Mag. Tokyo. 1990;103:113–131. doi: 10.1007/BF02489620. [DOI] [Google Scholar]
- 30.Li Z., Zheng Q., Zhang Z., Zhang Y. Karyotype analysis of species of Ser. Glabrae in the genus Ulmus L. J. Henan Agric. Univ. 1997;31:36–39. [Google Scholar]
- 31.Zhang Z., Li Z. Karyotype studies of 4 species of Sec. Nitentes in the genus Ulmus L. Henan Sci. 1996;14:90–94. [Google Scholar]
- 32.Kang X., Zhang S., Sun X. Study on the karyotype analysis of Ulmus pumila Linn. J. Jilin For. Univ. 1996:30–32. [Google Scholar]
- 33.Karrafalt R.P., Karnosky D.F. Meiotic pairing and chromosome morphology in American elm. For. Sci. 1975;21:123–127. [Google Scholar]
- 34.Whittemore A.T., Olsen R.T. Ulmus americana (Ulmaceae) is a polyploid complex. Am. J. Bot. 2011;98:754–760. doi: 10.3732/ajb.1000372. [DOI] [PubMed] [Google Scholar]
- 35.Zhang X., Song W., Liang H., Wang Z. Study on leaf morphology and photosynthetic characteristics of tetraploid Ulmus pumila. Forest. Sci. Technol. 2022;47:1–4. [Google Scholar]
- 36.Yan X., Wang S., Ding X., Liu X., Liang H. Leaf morphology and photosynthetic characteristics of allotriploid elm. For. Sci. Technol. 2023;48:1–5. [Google Scholar]
- 37.Ehrenberg C.E. Studies on asynapsis in the elm, Ulmus glabra Huds. Hereditas. 1949;35:1–26. doi: 10.1111/j.1601-5223.1949.tb02858.x. [DOI] [Google Scholar]
- 38.Li J., Zhou P., Zhang Q., Zhang M. Genome size determination of Ilex verticillata based on flow cytometry. Chin. Wild Plant Resour. 2023;42:29–34. [Google Scholar]
- 39.Whittemore A.T., Xia Z.L. Genome size variation in elms (Ulmus spp.) and related genera. HortScience. 2017;52:547–553. doi: 10.21273/HORTSCI11432-16. [DOI] [Google Scholar]
- 40.Guan Q., Zhang Y., Xu X., Sun D., Li S., Lin H., Pan L., Ma Y. Development of DNA molecular marker and several new types of molecular markers. Heilongjiang Agric. Sci. 2008;1:102–104. [Google Scholar]
- 41.Wang X., Yang X. Progress of studies on the molecular markers. J. Tianjin Agric. Univ. 2000:21–24. [Google Scholar]
- 42.Whittemore A.T., Fuller R.S., Brown B.H., Hahn M., Gog L., Weber J.A., Hipp A.L. Phylogeny, biogeography, and classification of the elms (Ulmus) Syst. Bot. 2021;46:711–727. doi: 10.1600/036364421X16312068417039. [DOI] [Google Scholar]
- 43.Lyu Y.Z., Dong X.Y., Huang L.B., Zheng J.W., He X.D., Sun H.N., Jiang Z.P. SLAF-seq uncovers the genetic diversity and adaptation of Chinese Elm (Ulmus parvifolia) in Eastern China. Forests. 2020;11:80. doi: 10.3390/f11010080. [DOI] [Google Scholar]
- 44.Cox K., Vanden Broeck A. AFLP Fingerprinting of Elms. Instituut voor Natuur- en Bosonderzoek; Brussel, Belgium: 2013. pp. 1–16. [Google Scholar]
- 45.Pooler M.R., Townsend A. DNA fingerprinting of clones and hybrids of American elm and other elm species with AFLP markers. J. Environ. Hortic. 2005;23:113–117. doi: 10.24266/0738-2898-23.3.113. [DOI] [Google Scholar]
- 46.Cox K., Vanden Broeck A., Vander Mijnsbrugge K. Genetic Variation in European Elms. Instituut voor Natuur- en Bosonderzoek; Brussel, Belgium: 2012. pp. 1–67. [Google Scholar]
- 47.Cox K., Vanden Broeck A., Vander Mijnsbrugge K., Buiteveld J., Collin E., Heybroek H.M., Mergeay J. Interspecific hybridisation and interaction with cultivars affect the genetic variation of Ulmus minor and Ulmus glabra in Flanders. Tree Genet. Genomes. 2014;10:813–826. doi: 10.1007/s11295-014-0722-4. [DOI] [Google Scholar]
- 48.Kamalay J.C., Carey D.W. Application of RAPD-PCR markers for identification and genetic analysis of American elm (Ulmus americana L.) selections. J. Environ. Hortic. 1995;13:155–159. doi: 10.24266/0738-2898-13.4.155. [DOI] [Google Scholar]
- 49.Coleman M., Hollingsworth M.L., Hollingsworth P.M. Application of RAPDs to the critical taxonomy of the English endemic elm Ulmus plotii Druce. Bot. J. Linn. Soc. 2000;133:241–262. doi: 10.1006/bojl.1999.0331. [DOI] [Google Scholar]
- 50.Benet H., Guries R., Boury S., Smalley E. Identification of RAPD markers linked to a black leaf spot resistance gene in Chinese elm. Theor. Appl. Genet. 1995;90:1068–1073. doi: 10.1007/BF00222923. [DOI] [PubMed] [Google Scholar]
- 51.Goodall-Copestake W.P., Hollingsworth M.L., Hollingsworth P.M., Jenkins G.I., Collin E. Molecular markers and ex situ conservation of the European elms (Ulmus spp.) Biol. Conserv. 2005;122:537–546. doi: 10.1016/j.biocon.2004.09.011. [DOI] [Google Scholar]
- 52.Zhao R. Master’s Thesis. Inner Mongolia Agricultural University; Höhhot, China: 2011. Study on Genetic Diversity Among Different Populations of Ulmus pumila Using RAPD Method. [Google Scholar]
- 53.Sinclair W.A., Townsend A.M., Griffiths H.M., Whitlow T.H. Responses of six Eurasian Ulmus cultivars to a North American elm yellows phytoplasma. Plant Dis. 2000;84:1266–1270. doi: 10.1094/PDIS.2000.84.12.1266. [DOI] [PubMed] [Google Scholar]
- 54.Dai B., Du J., Yang J., Huang Y., Zhang J. Construction of ISSR identification card of Ulmus pumila ‘Jinye’ and analysis of genetic diversity of 8 Ulmus materials. J. Beijing For. Univ. 2014;36:100–103. [Google Scholar]
- 55.Ahn J.Y., Hong K.N., Lee J.W., Yang B.H. Population genetic variation of Ulmus davidiana var. japonica in South Korea based on ISSR markers. J. Korean For. Soc. 2013;102:560–565. [Google Scholar]
- 56.Zhang X. Ph.D. Thesis. Northeast Agricultural University; Harbin, China: 2013. Study on Genetic Relationship of Ulmus and the Radiation Induced Mutation. [Google Scholar]
- 57.Liu L., Chen W., Zheng X., Li J., Yan D., Liu L., Liu X., Wang Y. Genetic diversity of Ulmus lamellosa by morphological traits and sequence-related amplified polymorphism (SRAP) markers. Biochem. Syst. Ecol. 2016;66:272–280. [Google Scholar]
- 58.Tamošaitis S., Jurkšienė G., Petrokas R., Buchovska J., Kavaliauskienė I., Danusevičius D., Baliuckas V. Dissecting taxonomic variants within Ulmus spp. complex in natural forests with the aid of microsatellite and morphometric markers. Forests. 2021;12:653. doi: 10.3390/f12060653. [DOI] [Google Scholar]
- 59.Li M. Master’s Thesis. Shandong Normal University; Jinan, China: 2021. Genetic Diversity and Fruit Transcriptome of Ulmus pumila L. [Google Scholar]
- 60.Geng Q., Yang J., He J., Wang D.b., Shi E., Xu W.X., Jeelani N., Wang Z., Liu H. Microsatellite markers for the critically endangered elm species Ulmus gaussenii (Ulmaceae) Genes Genet. Syst. 2016;91:11–14. doi: 10.1266/ggs.15-00053. [DOI] [PubMed] [Google Scholar]
- 61.Singh A., Majeed A., Bhardwaj P. Transcriptome characterization and generation of marker resource for Himalayan vulnerable species, Ulmus wallichiana. Mol. Biol. Rep. 2021;48:721–729. doi: 10.1007/s11033-021-06138-x. [DOI] [PubMed] [Google Scholar]
- 62.Zhang L., Zhang X., Li M., Wang N., Qu X., Fan S. Transcriptome analysis of elm (Ulmus pumila) fruit to identify phytonutrients associated genes and pathways. Forests. 2019;10:738. doi: 10.3390/f10090738. [DOI] [Google Scholar]
- 63.Zhang L., Yang C., Wu Z.C., Zhang X., Fan S. Comprehensive time-course transcriptome reveals the crucial biological pathways involved in the seasonal branch growth in siberian elm (Ulmus pumila) Int. J. Mol. Sci. 2023;24:14976. doi: 10.3390/ijms241914976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Chen P., Liu P., Zhang Q., Zhao L., Hao X., Liu L., Bu C., Pan Y., Zhang D., Song Y. Dynamic physiological and transcriptome changes reveal a potential relationship between the circadian clock and salt stress response in Ulmus pumila. Mol. Genet. Genom. 2022;297:303–317. doi: 10.1007/s00438-021-01838-2. [DOI] [PubMed] [Google Scholar]
- 65.Chen P., Liu P., Zhang Q., Bu C., Lu C., Srivastava S., Zhang D., Song Y. Gene coexpression network analysis indicates that hub genes related to photosynthesis and starch synthesis modulate salt stress tolerance in Ulmus pumila. Int. J. Mol. Sci. 2021;22:4410. doi: 10.3390/ijms22094410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Qi X., Chen L., Hu Z., Shen W., Xu H., Ma L., Wang G., Jing Y., Wang X., Zhang B. Cytology, transcriptomics, and mass spectrometry imaging reveal changes in late-maturation elm (Ulmus pumila) seeds. J. Plant Physiol. 2022;271:153639. doi: 10.1016/j.jplph.2022.153639. [DOI] [PubMed] [Google Scholar]
- 67.Zuo L., Zhang S., Zhang J., Liu Y., Yu X., Yang M., Wang J. Primer development and functional classification of EST-SSR markers in Ulmus species. Tree Genet. Genomes. 2020;16:74. doi: 10.1007/s11295-020-01468-6. [DOI] [Google Scholar]
- 68.Zhu J., Yang X., Liu Z., Zhang H. Identification and target prediction of MicroRNAs in Ulmus pumila L. seedling roots under salt stress by high-throughput sequencing. Forests. 2016;7:318. doi: 10.3390/f7120318. [DOI] [Google Scholar]
- 69.Ye T., Huang X., Ma T., Li Y., Wang X., Lu H., Xue H. Integrated analysis of miRNAome and transcriptome identify regulators of elm seed aging. Plants. 2023;12:1719. doi: 10.3390/plants12081719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Cui L., Song W., Ge H., Wang L., Liu X., Liang H. Physiological characteristics and transeriptome differences between diploid and autotetraploid of Ulmus pumila. For. Ecol. Sci. 2023;38:8–15. [Google Scholar]
- 71.Wang L., Li W., Ma y., Liu X., Liang H. Photosynthetic characteristics and transcriptome analysis of albino mutant of Ulmus pumila. J. Northwest For. Univ. 2020;35:10–16. [Google Scholar]
- 72.Feng S., Liu Y., Yan S., Dai S., Chen L., Fan Y., Huang Y. The potential mechanism of UpCrtR-b regulates leaf color change in Ulmus pumila by multi-omics and functional analysis. Sci. Hortic. 2024;324:112616. doi: 10.1016/j.scienta.2023.112616. [DOI] [Google Scholar]
- 73.Zuo L., Zhang S., Liu Y., Huang Y., Yang M., Wang J. The reason for growth inhibition of Ulmus pumila ‘Jinye’: Lower resistance and abnormal development of chloroplasts slow down the accumulation of energy. Int. J. Mol. Sci. 2019;20:4227. doi: 10.3390/ijms20174227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Song W., Ge H., Liu X., Liang H. Preliminary analysis of the transcriptome of the sunburn-resistant hybrid Ulmus pumila cv. jinye. Mol. Plant Breed. 2024:1–16. [Google Scholar]
- 75.Song W., Ge H., Liu X., Liang H. Physiological characteristics and transcriptome differences analysis of diploid and autotetraploid Ulmus pumila cv. ‘Jinye’. J. Hebei Agric. Univ. 2022;45:86–92. [Google Scholar]
- 76.Zhang S., Liu Y., Jia S., Li Y., Huang Y., Yang M., Zhang J. Physiological response and transcriptome analysis of potted seedlings of Ulmus pumila ‘Zhonghua Jinye’ under drought stress. J. Hebei Agric. Univ. 2022;45:69–78. [Google Scholar]
- 77.Singh A., Majeed A., Sharma V., Gadri H.S., Chowdhary M.A., Bhardwaj P. Transcriptome analysis revealed behavior complexity of senescence responses in Himalayan tree species Ulmus wallichiana. Plant Mol. Biol. Rep. 2023;41:600–610. doi: 10.1007/s11105-023-01388-4. [DOI] [Google Scholar]
- 78.Islam M.T., Coutin J.F., Shukla M., Dhaliwal A.K., Nigg M., Bernier L., Sherif S.M., Saxena P.K. Deciphering the genome-wide transcriptomic changes during interactions of resistant and susceptible genotypes of American elm with Ophiostoma novo-ulmi. J. Fungi. 2022;8:120. doi: 10.3390/jof8020120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Lu M., Cao M., Yang J., Swenson N.G. Comparative transcriptomics reveals divergence in pathogen response gene families amongst 20 forest tree species. G3-Genes Genom. Genet. 2023;13:jkad233. doi: 10.1093/g3journal/jkad233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Nigg M., de Oliveira T.C., Sarmiento-Villamil J.L., de la Bastide P.Y., Hintz W.E., Sherif S.M., Shukla M., Bernier L., Saxena P.K. Comparative analysis of transcriptomes of Ophiostoma novo-ulmi ssp. Americana colonizing resistant or sensitive genotypes of American Elm. J. Fungi. 2022;8:637. doi: 10.3390/jof8060637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Perdiguero P., Venturas M., Cervera M.T., Gil L., Collada C. Massive sequencing of Ulmus minor’s transcriptome provides new molecular tools for a genus under the constant threat of Dutch elm disease. Front. Plant Sci. 2015;6:541. doi: 10.3389/fpls.2015.00541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Altmann S., Muino J.M., Lortzing V., Brandt R., Himmelbach A., Altschmied L., Hilker M. Transcriptomic basis for reinforcement of elm antiherbivore defence mediated by insect egg deposition. Mol. Ecol. 2018;27:4901–4915. doi: 10.1111/mec.14900. [DOI] [PubMed] [Google Scholar]
- 83.Takei M., Ito S., Tanaka K., Ishige T., Suzuki Y. Transcriptomic characterization of gall tissue of Japanese elm tree (Ulmus davidiana var. japonica) induced by the aphid Tetraneura nigriabdominalis. Biosci. Biotechnol. Biochem. 2017;81:1069–1077. doi: 10.1080/09168451.2017.1285685. [DOI] [PubMed] [Google Scholar]
- 84.Lu H., Jin L., Wei D., Huang Z. Study on the differential gene expression of elm leaves fed on by Tetraneura akinire Sasaki. Genes genom. 2019;41:1505–1516. doi: 10.1007/s13258-019-00871-1. [DOI] [PubMed] [Google Scholar]
- 85.Li X., Huang Z. Transcriptome analysis in the process of insect gall formation of elm leaves. Genomics Appl. Biol. 2019;38:737–746. [Google Scholar]
- 86.Jin Y., Cui M., Huang L., Pei W., Gu Y., Qian Z. Seedling raising of Ulmus resources in Jiangsu and its application in urban garden construction. J. Jinling Inst. Technol. 2018;34:79–83. [Google Scholar]
- 87.Huang Y. Superior new variety of ornamental foliage plants—Ulmus pumila cv. ‘ZhonghuaJinye’. Beijing Agric. Sci. 2006:47. [Google Scholar]
- 88.Huang Y., Liu Y., Zhang J. Effect of day-night temperature difference on leaf color of Ulmus pumila ‘ZhonghuaJinye’. Chin. Agric. Sci. Bull. 2013;29:31–34. [Google Scholar]
- 89.Qi H., Liu X., Wang F. The influence of light stress on the leaf color of Ulmus pumila cv. ‘ZhonghuaJinye’. J. Hebei For. Sci. Technol. 2009;553:121560. [Google Scholar]
- 90.Wang Y., Liang M. Physiological and biochemical research on different position leaves of Ulmus pumila cv. jinye. Territ. Nat. Resour. Study. 2014:78–80. [Google Scholar]
- 91.Zhang S. Ph.D. Thesis. Hebei Agricultural University; Baoding, China: 2018. The Mechanism of Formation of Yellow Characteristic and Re-Greening After Shading in Ulmus pumila ‘Jinye’ Leaves. [Google Scholar]
- 92.Zhang P., Wu J., Yu B., An Y., Ye J. The current status of elm pest occurrence and research in China. J. Jiangsu For. Sci. Technol. 2014;41:46–49. [Google Scholar]
- 93.Li X. Major diseases of elms and their control techniques. Jiangxi Agric. 2017:88. [Google Scholar]
- 94.Wang Q., Yu Q. Occurrence and prevention of common diseases and pests in elms. Chin. Agric. Inform. 2016:101–102+104. [Google Scholar]
- 95.Zhang P., Ye J., Zhang Y., Wang L. The research progress of interal and external on pathogens of Dutch Elm Disease. Plant Quar. 2014;28:33–38. [Google Scholar]
- 96.Stone G.N., Schönrogge K. The adaptive significance of insect gall morphology. Trends Ecol. Evol. 2003;18:512–522. doi: 10.1016/S0169-5347(03)00247-7. [DOI] [Google Scholar]
- 97.Wang G., Wang Y., Wu H. Gall and gall-former insects. Chin. Bull. Entomol. 2010;47:419–424. [Google Scholar]
- 98.Jin S., Wei M., Wei Y., Jiang Z. Insights into plant sensory mechanisms under abiotic stresses. Plants. 2024;13:1907. doi: 10.3390/plants13141907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Zhou J., Xu H., Xiang Y., Wu J. Effects of microplastics pollution on plant and soil phosphorus: A meta-analysis. J. Hazard. Mater. 2024;461:132705. doi: 10.1016/j.jhazmat.2023.132705. [DOI] [PubMed] [Google Scholar]
- 100.Cotrozzi L. Leaf demography and growth analysis to assess the impact of air pollution on plants: A case study on alfalfa exposed to a gradient of sulphur dioxide concentrations. Atmos. Pollut. Res. 2020;11:186–192. doi: 10.1016/j.apr.2019.10.006. [DOI] [Google Scholar]
- 101.Singh V., Punia A., Thakur A., Gupta S., Kataria R.C., Kumar R., Kumar P., Chauhan N.S. Phytoremediation of chemical pollutants and heavy metals by higher plants. In: Madhav S., Gupta G.P., Yadav R.K., Mishra R., Hullebusch E.v., editors. Phytoremediation: Biological Treatment of Environmental Pollution. Springer Nature Switzerland; Cham, Switzerland: 2024. pp. 123–147. [Google Scholar]
- 102.Kulkarni K.P., Vennapusa A.R., Pandian B.A., Deshmukh R. Genetic advancements for improving the plant tolerance to biotic and abiotic stresses. Front. Genet. 2024;15:1426680. doi: 10.3389/fgene.2024.1426680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Beigh Y.A., Ganai A.M., Ahmad H.A., Khan H.M., Mir M.S. Chemical composition and nutritional evaluation of Elm (Ulmus wallichiana) as browse for Bakerwal goats (Capra hircus) Agrofor. Syst. 2020;94:1367–1379. doi: 10.1007/s10457-018-0314-7. [DOI] [Google Scholar]
- 104.So H.M., Yu J.S., Khan Z., Subedi L., Ko Y.-J., Lee I.K., Park W.S., Chung S.J., Ahn M.-J., Kim S.Y. Chemical constituents of the root bark of Ulmus davidiana var. japonica and their potential biological activities. Bioorg. Chem. 2019;91:103145. doi: 10.1016/j.bioorg.2019.103145. [DOI] [PubMed] [Google Scholar]
- 105.Um M.Y., Choi W.H., Ahn J., Ha T.Y. Effects of ethanolic extract of Ulmus davidiana root on lipid metabolism in high-fat diet fed mice. Korean J. Food Nutr. 2013;26:8–14. doi: 10.9799/ksfan.2013.26.1.008. [DOI] [Google Scholar]
- 106.Kim J.H., Park J.S., Lee Y.J., Choi S., Kim Y.H., Yang S.Y. Inhibition of soluble epoxide hydrolase by phytochemical constituents of the root bark of Ulmus davidiana var. japonica. J. Enzyme Inhib. Med. Chem. 2021;36:1049–1055. doi: 10.1080/14756366.2021.1927005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Khan M.P., Mishra J.S., Sharan K., Yadav M., Singh A.K., Srivastava A., Kumar S., Bhaduaria S., Maurya R., Sanyal S., et al. A novel flavonoid C-glucoside from Ulmus wallichiana preserves bone mineral density, microarchitecture and biomechanical properties in the presence of glucocorticoid by promoting osteoblast survival: A comparative study with human parathyroid hormone. Phytomedicine. 2013;20:1256–1266. doi: 10.1016/j.phymed.2013.07.007. [DOI] [PubMed] [Google Scholar]
- 108.Fiehn O., Kopka J., Dörmann P., Altmann T., Trethewey R.N., Willmitzer L. Metabolite profiling for plant functional genomics. Nat. Biotechnol. 2000;18:1157–1161. doi: 10.1038/81137. [DOI] [PubMed] [Google Scholar]
- 109.Yin M., Li C., Wang Y., Fu J., Sun Y., Zhang Q. Comparison analysis of metabolite profiling in seeds and bark of Ulmus parvifolia, a Chinese medicine species. Plant Signal. Behav. 2022;17:2138041. doi: 10.1080/15592324.2022.2138041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Rodríguez-Calcerrada J., Rodrigues A.M., António C., López R., Domínguez J., Sobrino-Plata J., Gil L., Martín J.A. Integration of primary metabolism with physiological and anatomical data to assess dutch elm disease susceptibility in three elm species—A case study. In: António C., editor. Monitoring Forest Damage with Metabolomics Methods. Wiley; Hoboken, NJ, USA: 2023. pp. 343–387. [Google Scholar]
- 111.Rodríguez-Calcerrada J., Rodrigues A.M., António C., Perdiguero P., Pita P., Collada C., Li M., Gil L. Stem metabolism under drought stress–a paradox of increasing respiratory substrates and decreasing respiratory rates. Physiol. Plant. 2021;172:391–404. doi: 10.1111/ppl.13145. [DOI] [PubMed] [Google Scholar]
- 112.Wang S., Zuo L., Liu Y., Long L., Wu J., Yuan M., Wang J., Yang M. Comparative transcriptomes of four Elm species provide insights into the genetic features and adaptive evolution of Ulmus spp. For. Ecol. Manag. 2024;553:121560. doi: 10.1016/j.foreco.2023.121560. [DOI] [Google Scholar]
- 113.Välimäki S., Rusanen M., Pečínková D., Tikkinen M., Aronen T. Cryopreservation and micropropagation methods for conservation of genetic resources of Ulmus laevis and Ulmus glabra. Forests. 2021;12:1121. doi: 10.3390/f12081121. [DOI] [Google Scholar]
- 114.Beck R., Camp M., Kamo K. Micropropagation and regeneration of Ulmus parvifolia Pathfinder, the Chinese elm tree. J. Appl. Hortic. 2018;20:119–124. doi: 10.37855/jah.2018.v20i02.21. [DOI] [Google Scholar]
- 115.Corchete M., Diez J., Valle T. Micropropagation of Ulmus pumila L. from mature trees. Plant Cell Rep. 1993;12:534–536. doi: 10.1007/BF00236103. [DOI] [PubMed] [Google Scholar]
- 116.Sanjabi M. Induction of direct somatic embryogenesis in leaf explants of Ulmus glabra. J. Plant Res. 2016;28:885–894. [Google Scholar]
- 117.He H. Master Thesis. Beijing Forestry University; Beijing, China: 2022. Preliminary Study on the Tissue Culture System of Ulmus lamellosa. [Google Scholar]
- 118.Newhouse A.E., Schrodt F., Maynard C.A., Powell W.A. American elm (Ulmus americana) In: Wang K., editor. Agrobacterium Protocols Volume 2. Humana Press; Totowa, NJ, USA: 2007. pp. 99–112. [DOI] [PubMed] [Google Scholar]
- 119.Gartland J.S., McHugh A.T., Brasier C.M., Irvine R.J., Fenning T.M., Gartland K.M. Regeneration of phenotypically normal English elm (Ulmus procera) plantlets following transformation with an Agrobacterium tumefaciens binary vector. Tree Physiol. 2000;20:901–907. doi: 10.1093/treephys/20.13.901. [DOI] [PubMed] [Google Scholar]
- 120.Wang Z., Zhang Z., Zheng D., Zhang T., Li X., Zhang C., Yu R., Wei J., Wu Z. Efficient and genotype independent maize transformation using pollen transfected by DNA-coated magnetic nanoparticles. J. Integr. Plant Biol. 2022;64:1145–1156. doi: 10.1111/jipb.13263. [DOI] [PubMed] [Google Scholar]
- 121.Cao X., Xie H., Song M., Lu J., Ma P., Huang B., Wang M., Tian Y., Chen F., Peng J. Cut–dip–budding delivery system enables genetic modifications in plants without tissue culture. Innovation. 2023;4:100345. doi: 10.1016/j.xinn.2022.100345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Mei G., Chen A., Wang Y., Li S., Wu M., Hu Y., Liu X., Hou X. A simple and efficient in planta transformation method based on the active regeneration capacity of plants. Plant Commun. 2024;5:100822. doi: 10.1016/j.xplc.2024.100822. [DOI] [PMC free article] [PubMed] [Google Scholar]