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Santos-Silva, C.A.D.; Ferreira-Neto, J.R.C.; Amador, V.C.; Bezerra-Neto, J.P.; Vilela, L.M.B.; Binneck, E.; Rêgo, M.D.S.; Da Silva, M.D.; Mangueira De Melo, A.L.T.; Da Silva, R.H.; et al. Non-Specific Lipid Transfer Proteins (nsLTPs). Encyclopedia. Available online: https://encyclopedia.pub/entry/44760 (accessed on 27 July 2024).
Santos-Silva CAD, Ferreira-Neto JRC, Amador VC, Bezerra-Neto JP, Vilela LMB, Binneck E, et al. Non-Specific Lipid Transfer Proteins (nsLTPs). Encyclopedia. Available at: https://encyclopedia.pub/entry/44760. Accessed July 27, 2024.
Santos-Silva, Carlos André Dos, José Ribamar Costa Ferreira-Neto, Vinícius Costa Amador, João Pacífico Bezerra-Neto, Lívia Maria Batista Vilela, Eliseu Binneck, Mireli De Santana Rêgo, Manassés Daniel Da Silva, Ana Luiza Trajano Mangueira De Melo, Rahisa Helena Da Silva, et al. "Non-Specific Lipid Transfer Proteins (nsLTPs)" Encyclopedia, https://encyclopedia.pub/entry/44760 (accessed July 27, 2024).
Santos-Silva, C.A.D., Ferreira-Neto, J.R.C., Amador, V.C., Bezerra-Neto, J.P., Vilela, L.M.B., Binneck, E., Rêgo, M.D.S., Da Silva, M.D., Mangueira De Melo, A.L.T., Da Silva, R.H., & Benko-Iseppon, A.M. (2023, May 24). Non-Specific Lipid Transfer Proteins (nsLTPs). In Encyclopedia. https://encyclopedia.pub/entry/44760
Santos-Silva, Carlos André Dos, et al. "Non-Specific Lipid Transfer Proteins (nsLTPs)." Encyclopedia. Web. 24 May, 2023.
Non-Specific Lipid Transfer Proteins (nsLTPs)
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This entry is adapted from the peer-reviewed paper 10.3390/antibiotics12050939

Non-specific lipid transfer proteins (nsLTPs) stand out among plant-specific peptide superfamilies due to their multifaceted roles in plant molecular physiology and development, including their protective functions against pathogens. These antimicrobial agents have demonstrated remarkable efficacy against bacterial and fungal pathogens. The discovery of plant-originated, cysteine-rich antimicrobial peptides such as nsLTPs has paved the way for exploring the mentioned organisms as potential biofactories for synthesizing antimicrobial compounds.

genomics expansion mechanisms last common ancestor plant stress gene expression

1. Introduction

The non-specific lipid transfer proteins (nsLTPs) are a plant-specific superfamily of cysteine-rich AMPs (antimicrobial peptides). They received this name due to their ability to bind to several hydrophobic molecules, such as phospholipids and fatty acids, among others. nsLTPs are characterized by their reduced size (6.5–10.5 kDa) and the presence of eight cysteine residues (8CM domain), which form four disulfide bonds [1]. They are associated with various plant biological processes, such as growth and development, abiotic stress responses, besides plant defense [2][3][4][5][6][7][8]. The mentioned plant-originated AMPs have demonstrated remarkable efficacy against bacterial and fungal pathogens [9]. The discovery of cysteine-rich AMPs such as nsLTPs has paved the way for exploring plants as potential biofactories for synthesizing antimicrobial compounds, which holds significant promise for their application as biotherapeutic agents in the field of antimicrobial drug development [9]. It has been proposed that such antimicrobial activity is due to the nsLTPs’ ability to disrupt the permeability and integrity of the pathogens’ outer membranes, similar to other plant AMPs [7][10]. However, further studies are necessary to understand all their biological roles.
Previous works indicate that nsLTPs are encoded by a large gene family, presenting more than 50 loci in many angiosperm genomes and up to 50 loci in bryophytes, ferns, and gymnosperms [1]. Some classification systems are available for nsLTPs. These, however, are heterogeneous in terms of subgroups’ numbers and nomenclature. The classification initially proposed for nsLTPs—division into ‘nsLTP1’ and ‘nsLTP2’ subfamilies—was based on their molecular mass, sequence identity (<30% of similarity between nsLTP1s and nsLTP2s), and lipid transfer efficiency [11][12]. Disulfide bond patterns in nsLTPs may also differ. ‘nsLTP1s’ displays ‘Cys1-Cys6, Cys2-Cys3, Cys4-Cys7, and Cys5-Cys8’ pattern [13], whereas ‘nsLTP2s’ exhibit that of ‘Cys1-Cys5, Cys2-Cys3, Cys4-Cys7, and Cys6-Cys8’ [14]. Such differences in disulfide bond configuration play a crucial role in the stability of these proteins, constraining their conformational dynamics [1].
Another notable difference regards the hydrophobic cavity. The subgroup nsLTP1s may have a long tunnel-like cavity [15][16], while nsLTP2s may have two adjacent hydrophobic cavities [14]. However, it is worth mentioning that there is no specific rule in this regard since the hydrophobic cavities can vary according to the sequence of amino acid residues, the number of disulfide bonds present in the structure, and the lipid binding specificity.
Boutrot et al. [17] proposed a different classification approach. These authors introduced phylogenetic grouping as a key classification criterion. The proposition includes early diverging nsLTP homologs found in mosses and liver plants. The mentioned classification established nine groups (types ‘1’ to ‘9’) stratified with their respective consensus cysteine motifs (8CM domain)—Cys-Xn-Cys-Xn-CysCys-Xn-CysXCys-Xn-Cys-Xn-Cys (X: different amino acids; n: variable number of amino acids)—and the inter-cysteine amino acid residues diversity.
Later, another proposition, by Edstam et al. [1], sought to break the limitations inherent in the sequence conservation, considering post-translational modifications in the glycosylphosphatidylinositol (GPI) anchoring sites, intron positions, and spacing in the regions between cysteine residues, besides sequence similarity. This classification system suggests five major groups (‘LTP1’, ‘LTP2’, ‘LTPc’, ‘LTPd’, and ‘LTPg’) and four minor groups (‘LTPe’, ‘LTPf’, ‘LTPh’, ‘LTPj’, and ‘LTPk’). Despite the efforts made on the new nsLTP classification systems, the conventional classification of ‘LTP1’ and ‘LTP2’ is still widely used due to a lack of consensus among different studies. Since the nsLTP gene family is so complex and diversified, no established classification guidelines are final [18].

2. Omics Studies for nsLTPs

2.1. Understanding nsLTPs from Previous Studies

Previous studies (Table 1) involving nsLTP gene search and plant transcriptional expression analyses were scrutinized. Based on this search, different views on nsLTP abundance, types (Table 1), and functions were found. The seminal work by Edstam et al. [1] proposes a greater nsLTP abundance in terrestrial plants and their absence in green algae (chlorophytes and charophytes) (Table 1), suggesting that nsLTP genes evolved soon after the terrestrial environment conquest. In favor of the mentioned proposition, a limited number of representatives and types of nsLTPs are observed when comparing lower plants (as bryophytes and lichens) to spermatophytes, which indicates the emergence of new types of nsLTPs in higher plants [1][19][20].
Table 1. Some previous studies involving nsLTP mining in plant omics data, including data sources, identification strategy, amount per species, and classes retrieved.
Analyzed Species Class Mining Methodology nsLTPs Amount nsLTPs Classification References
Oryza sativa (Os), Arabidopsis thaliana (At) Monocot/dicot tBLASTn/BLASTn Os (52), At (49) 1, 2, 3, 4, 5, 6, 7, 8, and Y Boutrot et al. [17]
Solanum tuberosum (St), Solanum lycopersicum (Sh), Nicotiana tabacum (Nt), Nicotiana benthamiana (Nb), Capsicum annuum (Ca), and Petunia hybrida (Ph) Dicots BLASTn St (28), Sl (28), Nt (33), Nb (17), Ca (19), Ph (10) 1, 2, 3, 4, 5, 8, and 9 Liu et al. [21]
Adiantum capillus-veneris (Ac-v), Marchantia polymorpha (Mp), Physcomitrella patens (Pp), Pinus taeda (Pt), Selaginella moellendorffii (Sm), and green algae (ga) Chlorophyta, bryophyta, dicots, and monocots tBLASTn/BLASTn/HMM Mp (14), Pp (40), Sm (43), Ac-v (6), Pt (40), ga (0) 1, 2, C, D, E, F, G, H, J, and K * Edstam et al. [1]
Lotus japonicus Dicot BLAST 24 1, 2, 3, 4, 5, 8, and 9 Tapia et al. [22]
Brassica rapa Dicot BLASTp 63 1, 2, 3, 4, 5, 6, 8, 9, and 11 Li et al. [23]
Zea mays Monocot BLASTp/HMM 63 1, 2, C, D, and G Wei e Zong et al. [5]
Gossypium arboreum (Ga), Gossypium raimondii (Gr), and Gossypium hirsutum (Gh) Dicot BLASTp Ga (51), Gr (47), Gh (91) 1, 2, 3, 4, 5, 6, 8, and 9 Li et al. [6]
Brassica oleracea Dicot HMM/BLASp 89 1, 2, C, D, E, and G Ji et al. [24]
Triticum aestivum Monocot BLAST Search 105 1 and 2 Hairat et al. [25]
Triticum aestivum Monocot tBLASTn 461 1, 2, C, D, and G Kouidri et al. [26]
Hordeum vulgare Dicot BLAST Search 70 1, 2, C, D, and G Zhang et al. [27]
Solanum lycopersicum Dicot HMM 64 1, 2, 3, 4, 10, and 11 D’Agostino et al. [28]
Solanum tuberosum Dicot BLASTp/tBLASTn/HMM 83 1, 2, 4, 5, 7, 8, 12, and 13 ** Li et al. [29]
Triticum aestivum Monocot BLASTp/HMM 330 1, 2, C, D, and G Fang et al. [30]
Arachis duranensis Dicot HMM 64 1, 2, C, D, E, and G Song et al. [31]
Sesamum indicum Dicot BLASTp/HMM 52 1, 2, 3, 4, 5, 6, 8, 9, and 11 Song et al. [32]
Hordeum vulgare (Hv) and highland barley (hb) Dicot BLASTp/HMM Hv (40), hb (35) 1, 2, C, D, and G Duo et al. [33]
Chlamydomonas reinhardtii (Cr), Marchantia polymorpha (Mp), Physcomitrella patens (Pp), Selaginella moellendorffii (Sm), Zea mays (Zm), Sorghum bicolor (Sb), Oryza sativa (Os), Arabidopsis thaliana (At), Phaseolus vulgaris (Pv), Glycine max (Gm), Medicago truncatula (Mt), Trifolium pratense (Tp), Lotus japonicus (Lj), Lupinus albus (La), and Pisum sativum (Ps) Chlorophyta, bryophyta, dicots, and monocots BLASTp Cr (1), Mp (13), Pp (28), Sm (23), Zm (68), Sb (63), Os (73), At (82), Pv (77), Gm (120), Mt (95), Tp (85), Lj (72), La (87), Os (73) 1, 2, C, D, E, and G * Fonseca-García et al. [34]
Brassica napus Dicot BLASTx 246 1, 2, C, D, and G Liang et al. [35]
Helianthus annuus Dicot BLASTp/HMM 101 1, 2, 3, and 4 Vangelisti et al. [36]
Sorghum spontaneum Dicot BLAST, TBLASTN 7 1 and 2 de Oliveira Silva et al. [37]
Brassica napus Dicot HMM 238 1, 2, 3, 4, 5, 6, and 7 Xue et al. [38]
* All nsLTP groups found in the studied species pool; the nsLTP groups varied among the analyzed species. ** According to the similarity of the eight cysteine motif domains in amino acid sequences, Solanum tuberosum sequences were classified into two new types (12 and 13) by Li et al. [29].
In the barley (Hordeum vulgare) genome, 70 HvnsLTPs (Hordeum vulgare nsLTPs) were identified (Table 1), which were classified into five groups (‘1’, ‘2’, ‘C’, ‘D’, and ‘G’) [27]. Each of these genes shared common structures. Considering their expansion mechanisms, the 70 HvnsLTP genes presented 15 tandem duplication repeats (encompassing 36 genes). The HvnsLTPs’ baseline expression profiles in different tissues across developmental stages indicated that this group of genes might perform a variety of functions [27]. In addition, the differential expression profile indicated that HvnsLTP genes might have diverged in terms of the cis-regulatory elements of their promoters [27].
For the Solanaceae family, there are data on nsLTPs for potato (StnsLTPs, Solanum tuberosum nsLTPs). Li et al. [29] found 83 StnsLTP genes in potato genomes, categorized into eight types, namely, ‘1’, ‘2’, ‘4’, ‘5’, ‘7’, ‘8’, ‘12*’, and ‘13*’ (Table 1). Chromosome distribution and collinearity analyses suggested that the expansion of the StnsLTP gene family was enhanced by tandem duplications. In turn, Ka/Ks analysis showed that 47 pairs of duplicated genes have gone through purifying selection during evolution. StnsLTP genes were expressed mainly in younger tissues. Furthermore, StnsLTPs contained a large number of stress-responsive, cis-acting elements in their promoter regions. These results indicated that StnsLTPs might play significant and functionally varied roles in potato plants.
In Arachis duranensis, Song et al. [31] discovered 64 AdnsLTPs (Arachis duranensis nsLTPs) genes, which were divided into six groups (‘1’, ‘2’, ‘C’, ‘D’, ‘E’, and ‘G’; Table 1), anchored over nine chromosomes. Considering the AdnsLTPs’ expansion mechanisms, the study revealed some gene clustering by tandem duplication, while other family members showed segmental duplication in several chromosomes. Following treatments with high salt (NaCl, 250 mM), PEG, low temperature (4 °C), and abscisic acid, the AdnsLTPs’ expression levels were altered. Three AdnsLTPs were linked to nematode infection resistance. The DOF and WRI1 transcription factors were suggested as potential controllers of the AdnsLTP response to nematode infection.
Fang et al. [30] found 330 TansLTPs (Triticum aestivum nsLTPs) genes in wheat (T. aestivum) (Table 1). Such a quantitative result can be considered an update of the 461 nsLTP loci found by Kouidri et al. [26] for the same species. To date, T. aestivum is the plant with the highest number of nsLTPs. The TansLTPs clustered into five groups (‘1’, ‘2’, ‘C’, ‘D’, and ‘G’) by phenetic analysis (Table 1). Gene structure and MEME pattern analyses showed that different groups of nsLTPs had similar structural compositions. Chromosome anchoring revealed that all five groups were distributed on 21 chromosomes. Furthermore, 31 gene clusters were identified as tandem duplications, and 208 gene pairs were identified as segmental duplications. Data mining of RNA-seq libraries, covering multiple stress conditions, showed that the transcript levels of some of the nsLTP genes could be strongly up-regulated by drought and high salt (NaCl, 250 mM) stresses.
In another context, Liang et al. [35] scrutinized the Brassica napus pangenome for BnnsLTPs (B. napus nsLTPs). These authors identified 246 BnnsLTP genes, divided into five groups (‘1’, ‘2’, ‘C’, ‘D’, and ‘G’; Table 1). Different BnnLTP genes were identified among the eight studied B. napus varieties (ZS11, Gangan, Zheyou7, Shengli, Tapidor, Quinta, Westar, and No2127). BnnsLTPs showed different duplication patterns in different varieties. Cis-regulatory elements that respond to biotic and abiotic stresses were anchored at all BnnsLTP genes. Finally, RNA-Seq analysis showed that the BnnsLTP genes were involved in responses to the fungus Sclerotinia sclerotiorum infection.
Vangelisti et al. [36], studying sunflower (Helianthus annuus) HansLTPs (Helianthus annuus nsLTPs), observed the existence of four (‘1’, ‘2’, ‘3’, and ‘4’) groups (Table 1). The authors did not explicitly classify the observed groups according to the available classification systems. The HansLTPs (101 in total) were further examined by looking into potential gene duplication sources, which revealed a high prevalence of tandem- in addition to whole-genome duplication (WGD) events. This finding is consistent with polyploidization events that occurred during the evolution of the sunflower genome. Three (‘1’, ‘3’, and ‘4’) of the four HansLTP groups responded uniquely to environmental cues, including auxin, abscisic acid, and the saline environment. Interestingly, sunflower seeds were the only source of expression for HansLTP group ‘2’ genes.
In line with the reports mentioned above and other works in Table 1, it is observed that the nsLTP genes act multifunctionally and show genetic variability even within accessions of the same species. nsLTPs are present in a wide range of plants, showing gene expression in different tissues, developmental stages, and stressful conditions.

2.2. Filling the Gap: Discovering and Classifying nsLTPs in New Plant Genomes

To provide genomic information for nsLTPs in plants not yet studied in the previous topic, and to update nsLTP data for some species with improved genome versions that have been made available, the following plant genomes were scrutinized (Table 2): (1) Marchantia polymorpha; (2) Ceratopteris richardii; (3) Selaginella moellendorffii; (4) Thuja plicata; (5) Gossypium hirsutum; (6) Lactuca sativa; (7) Manihot esculenta; (8) Mimulus guttatus; (9) Populus trichocarpa; (10) Sinapis alba; (11) Solanum tuberosum; and (12) Spinacea oleracea. The mentioned species were chosen to diversify the number of analyzed clades.
Table 2. Studied species and number of recovered nsLTPs from the three applied mining approaches.
Plant Categorization Common Name Genome Version * 2n Genome Size (Gb) Mining Method ** Number of NR Loci
Higher Classification Family Species BLASTp RegEx HMM
Bryophyta Marchantiaceae Marchantia polymorpha Common liverwort Mpolymorpha_320_v3.1 18 ~0.29 0 2 21 21
Pteridophyta Pteridaceae Ceratopteris richardii Triangle waterfern Crichardii_676_v2.1 78 ~11.25 0 64 65 65
Selaginellaceae Selaginella moellendorffii Spikemoss Smoellendorffii_91_v1.0 16 ~0.1 0 0 36 36
Gymnosperm Cupressaceae Thuja plicata Western redcedar Tplicata_572_v3.1 22 ~12.5 4 12 112 112
Angiosperm Malvaceae Gossypium hirsutum Cotton Ghirsutum_527_v2.1 52 ~2.43 67 54 218 218
Asteraceae Lactuca sativa Lettuce Lsativa_467_v5 18 ~2.5 55 44 105 105
Euphorbiaceae Manihot esculenta Cassava Mesculenta_671_v8.1 36 ~0.7 29 28 98 98
Phrymaceae Mimulus guttatus Monkeyflower MguttatusTOL_551_v5.0 28 ~0.4 14 22 114 114
Salicaceae Populus trichocarpa Black cottonwood Ptrichocarpa_533_v4.1 19 ~0.5 25 22 85 85
Brassicaceae Sinapsis alba White mustard Salba_584_v3.1 24 ~0.5 23 64 189 189
Solanaceae Solanum tuberosum Potato Stuberosum_686_v6.1 48 ~0.8 35 24 105 105
Amaranthaceae Spinacia oleracea Spinach Soleracea_575_Spov3 12 ~0.9 6 8 43 43
* Phytozome genome version used to infer the conceptual proteome; ** number of nsLTP sequences with validated eight-cysteine domain (8CM). Legend: RegEX (regular expression); HMM (Hidden Markov Model); Gb (gigabase); NR (non-redundant).
Three distinct and complementary strategies were used to retrieve nsLTPs in the genomes selected. The nsLTP exhaustive mining applied to 12 evaluated genomes (Table 2) returned 258 candidate sequences by BLASTp search, 344 by the cysteine pattern-based strategy (RegEx mining), and 1191 by the machine learning approach (HMMER tool).
The machine learning approach (HMMER tool) recovered a more comprehensive number of sequences considering nsLTP domains. Strategies based on machine learning are emerging as the future of DNA/RNA/protein sequence identification and bioinformatics, in general. The search with the RegEx approach was more restrictive, on the other hand, and not as accurate as the local alignment (BLASTp) method when observing the presence of the conserved nsLTP domain. However, it is worth mentioning that the BLASTp strategy did not recover sequences from the hypothetical proteomes of C. richardii, S. moellendorffii, and M. polymorpha (Table 2). When working with sequences as diverse as nsLTPs, it is advisable to combine several mining methods to increase the chances of finding the maximum number of sequences combined with subsequent data curation. Herein, however, almost all of the sequences retrieved by the BLASTp and RegEx approaches were also retrieved by the machine-learning-based strategy .
From the analyzed species pool (Table 2), S. moellendorffii (21) and G. hirsutum (218) presented, respectively, the lowest and highest number of nsLTPs. The search confirmed the tendency of these peptides to be encoded by large gene families: nine (75%) of the 12 analyzed species had more than 50 nsLTP loci in their respective genomes (Table 2). There was no correlation (r = 0.10) between genome size and the number of nsLTPs in the analyzed species pool (Table 2). However, angiosperms and the analyzed gymnosperm have a higher amount of nsLTPs than pteridophytes and the analyzed bryophyte (Table 2). This fact may be associated with the evolution of these basal groups, as shown by Edstam et al. [1]. Pteridophytes and bryophytes are phylogenetically closer to green algae than the other clades analyzed. This scenario is possibly responsible for the nsLTPs’ reduced number in the mentioned clades since no nsLTPs were identified in green algae [1].
The work also updated the data for the nsLTP content in cotton (G. hirsutum), potato (S. tuberosum), common liverwort (M. polymorpha), and spikemoss (S moellendorffii) from the respective updated genome versions (Ghirsutum_527_v2.1, Stuberosum_686_v6.1, Mpolymorpha_320_v3.1, and Smoellendorffii_91_v1.0 | Phytozome database). While Li et al. [6] and Li et al. [29] identified, respectively, 91 and 83 nsLTP loci for the G. hirsutum and S. tuberosum (Table 1), 218 and 105 nsLTP loci were identified (Table 2). For M. polymorpha and S. moellendorffii, 21 and 36 nsLTPs were found, respectively (Table 2), in the present study (compared to 13 and 23 nsLTPs reported by Fonseca-García et al. [34]; (Table 1)). Genome assemblies are never perfect since they are models for the actual genome. It is hard to completely rule out all potential technological or algorithmic flaws, and no single assembly can accurately capture all the variety within populations of a species. Thus, published genomes that have an active research community are continuously improved. Such modified and updated versions are potential sources for changing minor paradigms.
Considering the 1191 nsLTPs’ categorization, the researchers observed nine large groups, of which five could be identified (‘nsLTL1’, ‘nsLTL2’, ‘nsLTLG’, ‘nsLTLD’, and ‘nsLTLC’; Figure 1), in addition to four distinct groups denominated ‘Unknown 1-4’ (Table 2). 
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Figure 1. Neighbor-joining tree (based on 8CM nsLTP domains) of 1191 non-specific lipid transfer proteins (nsLTPs) predicted in Marchantia polymorpha, Ceratopteris richardii, Selaginella moellendorffii, Thuja plicata, Glycine max, Gossypium hirsutum, Lactuca sativa, Manihot esculenta, Mimulus guttatus, Populus trichocarpa, Sinapis alba, Solanum tuberosum, and Spinacea oleracea genomes. All amino acid sequences were aligned using ClustalX2. The obtained result was visualized with the iTOL program. Legend: the numbers (1–4) inside the circles on the edge of the tree indicate different nsLTP subgroups of a given nsLTP group; at the rectangles, the nsLTP group classification is available.
Group separation, obtained from the implemented neighbor-joining (NJ) approach, reprised the nine groups in the Edstam et al. [1] classification. The strategy of performing NJ analysis from 8CM domain sequences (as performed by Edstam et al. [1] and Xue et al. [38]) promoted better group discrimination. The NJ tree derived from the complete nsLTP sequences (8CM + upstream and downstream regions) did not present such a level of resolution (only six groups were formed.
As will be seen in the ‘How structural nsLTP proteomics correlates with current nsLTP classification systems?’ section, nsLTP sequences show high variability in the amino acid sequence. Outside the 8CM region, the mentioned variability is accentuated, which causes greater noise in the distance analysis, resulting in an efficiency reduction in the formation of ‘true’ groups. Although reduced, compared to other nsLTP regions, the variability of the 8CM region was also a significant factor in the analysis using the NJ method. This is evidenced by the low bootstrap values of the first branches formed and in nsLTP NJ analysis for a manifold of species (see works by Fang et al. [30] and Vangelisti et al. [36], among others, in Table 1). Bootstrap values reflect the proportion of trees/replicates in which a recovered grouping is presented (in other words, a measure of support for that group). Despite reduced bootstrap values, the obtained tree topology was in accordance with the composition of the characterized seed sequences used to perform the nsLTP classification.
Regarding the nsLTPs’ composition in the scrutinized species, L. sativa, despite not having the highest amount of nsLTPs in its genome (Table 2 and Table 3), was the species which presented the greatest variety of these peptides (Table 3), with at least one member of each of the nine groups found. M. polymorpha, in turn, had the lowest variety of nsLTPs (presenting members only for the ‘LTP1’, ‘LTP2’, ‘LTPD’, ‘LTPG’, ‘Unknown 1’, and ‘Unknown 4’ groups; Table 3), a fact that is possibly associated with its nsLTPs’ small genomic amount. Results for this species, however, indicated that it presented nsLTP groups (e.g., ‘LTP1’, ‘LTP2’, ‘Unknown 1’, and ‘Unknown 4’) not yet identified in previous studies (i.e., in Edstam et al. [1] and Fonseca-García et al. [34]).
Table 3. nsLTP quantification by categories in the 12 analyzed plant genomes.
Plant Categorization Common Name Genome Version * 2n Genome Size (Gb) Mining Method ** Number of NR Loci
Higher Classification Family Species BLASTp RegEx HMM
Bryophyta Marchantiaceae Marchantia polymorpha Common liverwort Mpolymorpha_320_v3.1 18 ~0.29 0 2 21 21
Pteridophyta Pteridaceae Ceratopteris richardii Triangle waterfern Crichardii_676_v2.1 78 ~11.25 0 64 65 65
Selaginellaceae Selaginella moellendorffii Spikemoss Smoellendorffii_91_v1.0 16 ~0.1 0 0 36 36
Gymnosperm Cupressaceae Thuja plicata Western redcedar Tplicata_572_v3.1 22 ~12.5 4 12 112 112
Angiosperm Malvaceae Gossypium hirsutum Cotton Ghirsutum_527_v2.1 52 ~2.43 67 54 218 218
Asteraceae Lactuca sativa Lettuce Lsativa_467_v5 18 ~2.5 55 44 105 105
Euphorbiaceae Manihot esculenta Cassava Mesculenta_671_v8.1 36 ~0.7 29 28 98 98
Phrymaceae Mimulus guttatus Monkeyflower MguttatusTOL_551_v5.0 28 ~0.4 14 22 114 114
Salicaceae Populus trichocarpa Black cottonwood Ptrichocarpa_533_v4.1 19 ~0.5 25 22 85 85
Brassicaceae Sinapsis alba White mustard Salba_584_v3.1 24 ~0.5 23 64 189 189
Solanaceae Solanum tuberosum Potato Stuberosum_686_v6.1 48 ~0.8 35 24 105 105
Amaranthaceae Spinacia oleracea Spinach Soleracea_575_Spov3 12 ~0.9 6 8 43 43
* Phytozome genome version used to infer the conceptual proteome; ** number of nsLTP sequences with validated eight-cysteine domain (8CM). Legend: RegEX (regular expression); HMM (Hidden Markov Model); Gb (gigabase); NR (non-redundant).

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Subjects: Genetics & Heredity
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Carlos André dos Santos-Silva
,
José Ribamar Costa Ferreira-Neto
,
Vinícius Costa Amador
,
João Pacífico Bezerra-Neto
,
Lívia Maria Batista Vilela
,
Eliseu Binneck
,
Mireli de Santana Rêgo
,
Manassés Daniel da Silva
,
Ana Luiza Trajano Mangueira de Melo
,
Rahisa Helena da Silva
,
Ana Maria Benko-Iseppon
View Times: 284
Revisions: 2 times (View History)
Update Date: 25 May 2023
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