Annotation of Siberian Larch (Larix sibirica Ledeb.) Nuclear Genome—One of the Most Cold-Resistant Tree Species in the Only Deciduous GENUS in Pinaceae

New insights into the evolution analysis of trihelix gene family in eggplant (Solanum melongena L.) and expression analysis under abiotic stress

BACKGROUND

Trihliex transcription factors (TFs) play crucial roles in plant growth and development, stress response, and plant hormone signaling network transmission. In order to comprehensively investigate the functions of trihliex genes in eggplant development and the abiotic stress response, we conducted an extensive analysis of the trihliex gene family in the eggplant genome.

RESULTS

In this study, 30 trihelix gene family members were unevenly distributed on 12 chromosomes. On the basis of their phylogenetic relationships, these genes were conserved in different plant species and could be divided into six subfamilies, with trihelix genes within the same subfamily sharing similar structures. The promoter regions of trihelix genes contained cis-acting elements related to plant growth and development, plant hormones, and abiotic stress responses, suggesting potential applications in the development of more resistant crops. Selective pressure assessments indicated that trihliex genes have undergone purifying selection pressure. Expression analysis on the basis of transcriptomic profiles revealed that SmGT18, SmGT29, SmGT6, and SmGT28 are highly expressed in roots, leaves, flowers, and fruits, respectively. Expression analysis via quantitative real-time PCR (qRT‒PCR) revealed that most trihelix genes respond to low temperature, abscisic acid (ABA), and salicylic acid (SA), with SmGT29 exhibiting significant upregulation under cold stress conditions. The SmGT29 gene was subsequently successfully cloned from eggplant, which was located in the nucleus, robust transcriptional activity, and a protein molecular weight of 74.59 kDa. On the basis of these findings, SmGT29 was postulated to be a pivotal candidate gene that actively responds to biotic stress stimuli, thereby supporting the plant's innate stress resistance mechanisms.

CONCLUSION

In summary, this study was the first report on trihelix genes and their potential roles in eggplant plants. These results provided valuable insights for enhancing stress resistance and quality traits in eggplant breeding, thereby serving as a crucial reference for future improvement efforts.

A genome sequence for the threatened whitebark pine

Whitebark pine (WBP, Pinus albicaulis) is a white pine of subalpine regions in the Western contiguous United States and Canada. WBP has become critically threatened throughout a significant part of its natural range due to mortality from the introduced fungal pathogen white pine blister rust (WPBR, Cronartium ribicola) and additional threats from mountain pine beetle (Dendroctonus ponderosae), wildfire, and maladaptation due to changing climate. Vast acreages of WBP have suffered nearly complete mortality. Genomic technologies can contribute to a faster, more cost-effective approach to the traditional practices of identifying disease-resistant, climate-adapted seed sources for restoration. With deep-coverage Illumina short reads of haploid megagametophyte tissue and Oxford Nanopore long reads of diploid needle tissue, followed by a hybrid, multistep assembly approach, we produced a final assembly containing 27.6 Gb of sequence in 92,740 contigs (N50 537,007 bp) and 34,716 scaffolds (N50 2.0 Gb). Approximately 87.2% (24.0 Gb) of total sequence was placed on the 12 WBP chromosomes. Annotation yielded 25,362 protein-coding genes, and over 77% of the genome was characterized as repeats. WBP has demonstrated the greatest variation in resistance to WPBR among the North American white pines. Candidate genes for quantitative resistance include disease resistance genes known as nucleotide-binding leucine-rich repeat receptors (NLRs). A combination of protein domain alignments and direct genome scanning was employed to fully describe the 3 subclasses of NLRs. Our high-quality reference sequence and annotation provide a marked improvement in NLR identification compared to previous assessments that leveraged de novo-assembled transcriptomes.

Special Issue on "Plant Biology and Biotechnology: Focus on Genomics and Bioinformatics 2.0"

The analysis of molecular mechanisms underlying plant adaptation to environmental changes and stress response is crucial for plant biotechnology [...].

A Genome Sequence for the Threatened Whitebark Pine

Whitebark pine (WBP, Pinus albicaulis ) is a white pine of subalpine regions in western contiguous US and Canada. WBP has become critically threatened throughout a significant part of its natural range due to mortality from the introduced fungal pathogen white pine blister rust (WPBR, Cronartium ribicola ) and additional threats from mountain pine beetle ( Dendroctonus ponderosae ), wildfire, and maladaptation due to changing climate. Vast acreages of WBP have suffered nearly complete mortality. Genomic technologies can contribute to a faster, more cost-effective approach to the traditional practices of identifying disease-resistant, climate-adapted seed sources for restoration. With deep-coverage Illumina short-reads of haploid megametophyte tissue and Oxford Nanopore long-reads of diploid needle tissue, followed by a hybrid, multistep assembly approach, we produced a final assembly containing 27.6 Gbp of sequence in 92,740 contigs (N50 537,007 bp) and 34,716 scaffolds (N50 2.0 Gbp). Approximately 87.2% (24.0 Gbp) of total sequence was placed on the twelve WBP chromosomes. Annotation yielded 25,362 protein-coding genes, and over 77% of the genome was characterized as repeats. WBP has demonstrated the greatest variation in resistance to WPBR among the North American white pines. Candidate genes for quantitative resistance include disease resistance genes known as nucleotide-binding leucine-rich-repeat receptors (NLRs). A combination of protein domain alignments and direct genome scanning was employed to fully describe the three subclasses of NLRs (TNL, CNL, RNL). Our high-quality reference sequence and annotation provide a marked improvement in NLR identification compared to previous assessments that leveraged de novo assembled transcriptomes.

Genetic Adaptation of Siberian Larch (Larix sibirica Ledeb.) to High Altitudes

Forest trees growing in high altitude conditions offer a convenient model for studying adaptation processes. They are subject to a whole range of adverse factors that are likely to cause local adaptation and related genetic changes. Siberian larch (Larix sibirica Ledeb.), whose distribution covers different altitudes, makes it possible to directly compare lowland with highland populations. This paper presents for the first time the results of studying the genetic differentiation of Siberian larch populations, presumably associated with adaptation to the altitudinal gradient of climatic conditions, based on a joint analysis of altitude and six other bioclimatic variables, together with a large number of genetic markers, single nucleotide polymorphisms (SNPs), obtained from double digest restriction-site-associated DNA sequencing (ddRADseq). In total, 25,143 SNPs were genotyped in 231 trees. In addition, a dataset of 761 supposedly selectively neutral SNPs was assembled by selecting SNPs located outside coding regions in the Siberian larch genome and mapped to different contigs. The analysis using four different methods (PCAdapt, LFMM, BayeScEnv and RDA) revealed 550 outlier SNPs, including 207 SNPs whose variation was significantly correlated with the variation of some of environmental factors and presumably associated with local adaptation, including 67 SNPs that correlated with altitude based on either LFMM or BayeScEnv and 23 SNPs based on both of them. Twenty SNPs were found in the coding regions of genes, and 16 of them represented non-synonymous nucleotide substitutions. They are located in genes involved in the processes of macromolecular cell metabolism and organic biosynthesis associated with reproduction and development, as well as organismal response to stress. Among these 20 SNPs, nine were possibly associated with altitude, but only one of them was identified as associated with altitude by all four methods used in the study, a nonsynonymous SNP in scaffold_31130 in position 28092, a gene encoding a cell membrane protein with uncertain function. Among the studied populations, at least two main groups (clusters), the Altai populations and all others, were significantly genetically different according to the admixture analysis based on any of the three SNP datasets as follows: 761 supposedly selectively neutral SNPs, all 25,143 SNPs and 550 adaptive SNPs. In general, according to the AMOVA results, genetic differentiation between transects or regions or between population samples was relatively low, although statistically significant, based on 761 neutral SNPs (F_ST = 0.036) and all 25,143 SNPs (F_ST = 0.017). Meanwhile, the differentiation based on 550 adaptive SNPs was much higher (F_ST = 0.218). The data showed a relatively weak but highly significant linear correlation between genetic and geographic distances (r = 0.206, p = 0.001).

Larches of Kuzhanovo Have a Unique Mutation in the atpF-atpH Intergenic Spacer

The larches of Kuzhanovo (Larix sibirica Ledeb.) are protected trees with a round crown growing in the Southern Urals. In 2020 vandals sawed the sapwood of these trees, which exposed the problem of insufficient conservation measures. Their origin and genetic characteristics have been of particular interest to breeders and scientists. The larches of Kuzhanovo were screened for polymorphisms using SSR and ISSR analyses and the sequencing of genetic markers and genes GIGANTEA and mTERF, associated with wider crown shape. A unique mutation was discovered in the atpF-atpH intergenic spacer of all protected trees, but it was absent in some of their descendants and larches with similar crown shape. Mutations were discovered in the rpoC1 and mTERF genes of all samples. Flow cytometry did not reveal any changes in genome size. Our results suggest that the unique phenotype arose from point mutations in L. sibirica, but they are yet to be found in the nuclear genome. The concurrent mutations in the rpoC1 and mTERF genes may indicate that the round crown shape originates from the Southern Urals. The atpF-atpH and rpoC1 genetic markers are not common in studies of Larix sp., but their wider use could help to establish the origin of these endangered plants. The discovery of the unique atpF-atpH mutation also allows for stronger conservation and crime detection efforts.