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Gaut, B. S.

Publications and source records attributed to Gaut, B. S..

At least 19 recordsLinked to original sources

The dynamics of introgression across an adaptive radiation: examining hybrid speciation and parallel adaptation in North American Vitis

Hybridization between species can contribute to parallel adaptive events and, in some cases, speciation. However, the prevalence of introgression is rarely measured across multiple species, meaning that it is rarely integrated with landscape-scale processes or connected to adaptive repeatability. Here, we analyzed whole-genome resequencing data from 639 accessions representing 48 Vitis species. Vitis is notable for the domesticated grapevine (V. vinifera), multiple economically important North American species, and as an example of a temperate adaptive radiation. Our dataset included population-level sampling for 19 species, from which we reconstructed individual- and species-level phylogenetic frameworks for the genus. The analyses uncovered widespread evidence of introgression, comprising [~]14% of the average Vitis genome. Introgression was associated with geographic distribution between species, and highly admixed individuals were more frequently found near ecological niche margins. Genetic analyses further indicated that previously recognized hybrid taxa, V. x doaniana and V. x champinii, likely represent hybrid swarms rather than distinct species. We also assessed patterns of adaptive repeatability across eight species with denser population sampling. For six of the eight species, most of the detected sweeps overlapped with sweeps in other species; on average, more recently diverged species shared more overlapping sweeps. Parallel sweep events were driven mostly by introgression, although a substantial fraction ([~]40%) was attributed to selection on ancestral standing variation. By integrating population genomic data across many species, this study highlights the central role of shared genetic variation across an adaptive radiation.

evolutionary biology↗

Balanced polymorphism in a floral transcription factor underlies an ancient rhythm of daily sex alternation in avocado

In avocado and certain wild relatives in Lauraceae, pollination occurs via a synchronized rhythm of floral sex timing between two hermaphroditic flowering types. A-type plants present female-phase flowers in the morning and male-phase flowers in the afternoon, while B-types show the complementary pattern, a form of heterodichogamy. We map this dimorphism in avocado to a genomic region overlapping a single strong candidate gene, SDMYB, where a dominant haplotype confers A-type flowering. SDMYB belongs to a subgroup of R2R3 MYB transcription factors established as key regulators of floral maturation in diverse species with links to circadian jasmonate signaling. Haplotypes at this locus form an ancient trans-species polymorphism maintained by negative frequency-dependent balancing selection over 44 million years, and they segregate in at least 26 non-avocado species, including in a genus where this mating system has not been reported. Across several species examined, rhythmic diel SDMYB expression is associated with biphasic floral anthesis, and the dominant allele, which contains nonsynonymous changes in conserved functional domains, exhibits a cis-regulated phase delay, corresponding to the delayed 2nd anthesis of A-types. The coupling of dichogamy with diel flower movements, widespread among magnoliids, is a likely precursor to daily forms of heterodichogamy. Absence of the SDMYB polymorphism in true cinnamon, which exhibits a highly similar mating system, suggests the possibility that heterodichogamy has convergently evolved within Lauraceae.

evolutionary biology↗

Benchmarking, detection, and genotyping of structural variants in a population of whole-genome assemblies using the SVGAP pipeline

Comparisons of complete genome assemblies offer a direct procedure for characterizing all genetic differences among them. However, existing tools are often limited to specific aligners or optimized for specific organisms, narrowing their applicability, particularly for large and repetitive plant genomes. Here, we introduce SVGAP, a pipeline for structural variant (SV) discovery, genotyping, and annotation from high-quality genome assemblies at the population level. Through extensive benchmarks using simulated SV datasets at individual, population, and phylogenetic contexts, we demonstrate that SVGAP performs favorably relative to existing tools in SV discovery. Additionally, SVGAP is one of the few tools to address the challenge of genotyping SVs within large assembled genome samples, and it generates fully genotyped VCF files. Applying SVGAP to 26 maize genomes revealed hidden genomic diversity in centromeres, driven by abundant insertions of centromere-specific LTR-retrotransposons. The output of SVGAP is well-suited for pan-genome construction and facilitates the interpretation of previously unexplored genomic regions.

bioinformatics↗

Quantifying evolution of SNPs that affect RNA secondary structure in Arabidopsis thaliana genes

Single-stranded RNA molecules can form intramolecular bonds between nucleotides to create secondary structures. These structures can have phenotypic effects, meaning mutations that alter secondary structure may be subject to natural selection. Here we examined the population genetics of these mutations within Arabidopsis thaliana genes. We began by identifying derived SNPs with the potential to alter secondary structures within coding regions, using a combination of computational prediction and empirical data analysis. We identified 8,469 such polymorphisms, representing a small portion ([~]0.024%) of sites within transcribed genes. We examined nucleotide diversity and allele frequencies of these "pair-changing mutations" (pcM) in 1,001 A. thaliana genomes. The pcM SNPs at synonymous sites had an 13.4% reduction in nucleotide diversity relative to non-pcM SNPs at synonymous sites and were found at lower allele frequencies. We used demographic modeling to estimate selection coefficients, finding selection against pcMs in 5 and 3 untranslated regions. Previous work has shown that some pcMs affect gene expression in a temperature-dependent matter. We explored associations on a genome-wide scale, finding pcMs exist at higher population frequencies in colder environments, as do non-PCM alleles. Derived pcM mutations have a small but significant relationship to transcript abundance, however; alleles containing pcMs had an average reduction in expression of 137.4 normalized counts compared to genes with conserved ancestral secondary structure (mean expression = 3215.7 normalized counts). Overall, we document selection against derived pcMs in UTRs but with limited evidence for selection against derived pcMs at synonymous sites.

genomics↗

Climate, population size, and dispersal influences mutational load across the landscape in Vitis arizonica

The interplay between genetics and the environment determines a populations ability to survive. Plants, being immobile, are particularly vulnerable to environmental shifts and must adapt to their local environment or face extinction. While considerable efforts have been devoted to identifying adaptive genetic variation and to model its relationship with climate, the role of deleterious variation has been largely overlooked. To address this gap, we studied the landscape genomics of Vitis arizonica, a grape species endemic to the American Southwest and a crop wild relative of the domesticated grapevine. We estimated mutational load, a component of genetic load, in 162 individuals sampled across the present species range and built temporal species distribution models (SDMs) to project the historical, present, and future distributions of V. arizonica to infer species range dynamics. Mutational load was highest for individuals at an inferred leading edge of range expansion. Using random forest regression (RF) models, we examined the relationship between mutational load and climatic variation. The RF models, which we transformed by a weighting method to account for correlated predictors, identified climatic variables, historical dispersion distances, and heterozygosity as high-ranking features. Our findings show that mutational load can be predicted and identifies features that contribute to load. These results provide a foundation for integrating mutational load into broader efforts to understand species adaptation and maladaptation in the face of climate change. SIGNIFICANCE STATEMENTThe accumulation of deleterious genetic variation (i.e., genetic load) in a genome can reduce organismal fitness and hinder adaptation to local conditions. While the genetic mechanisms contributing to genetic load have been well-studied, its interaction with environmental variation is less understood. Here we explored the relationship between climatic variation, species range, and genetic load in Vitis arizonica, a wild grape species native to the American Southwest. We identified associations between climatic variation and genetic load and built a machine learning model to predict genetic load under future climate scenarios. Our findings suggest that the species range will expand and that genetic load will slightly increase at the population level by the end of the century. This work enhances our understanding of the environmental factors influencing genetic load.

evolutionary biology↗

Phenotypic and genotypic adaptation of E. coli to thermal stress is contingent on genetic background

Evolution can be contingent on history, but we do not yet have a clear understanding of the processes and dynamics that govern contingency. Here we performed the second phase of a two-phase evolution experiment to investigate features of contingency. The first phase of the experiment was based on Escherichia coli clones that had evolved population at the stressful temperature of 42.2{degrees}C. The Phase 1 lines generally evolved through two adaptive pathways: mutations of rpoB, which encodes the beta subunit of RNA polymerase, or through rho, a transcriptional terminator. We hypothesized that epistatic interactions within the two pathways constrained their future adaptative potential, thus affecting patterns of historical contingency. Using 10 different E. coli Founders representing both adaptive pathways, we performed a second phase of evolution at 19.0{degrees}C to investigate how prior genetic divergence or adaptive history (rpoB vs. rho) may affect the likelihood of parallel responses and evolutionary outcomes. We found that phenotype, as measured by relative fitness, was contingent on founder genotypes and pathways. This finding extended to genotypes, because E. coli from different Phase 1 histories evolved by adaptive mutations in distinct sets of genes. Our results suggest that evolution depends critically on genetic history, likely due to idiosyncratic epistatic interactions within and between evolutionary modules.

evolutionary biology↗

Diverse patterns of secondary structure across genes and transposable elements are associated with siRNA production and epigenetic fate

RNA molecules carry information in their primary sequence and also their secondary structure. Secondary structure can confer important functional information, but it is also a potential signal for an RNAi-like host epigenetic response mediated by small interfering RNAs (siRNAs). In this study, we predicted local secondary structures in features of the maize genome, focusing on small regions that had folding energies similar to pre-miRNA loci. We found secondary structures to be common in retrotransposons, in Helitrons, and in genes. These structured regions mapped higher diversities of siRNAs than regions without structure, explaining up to 24% of variation of the siRNA distribution across some TE types. Among genes, those with secondary structure were 1.5-fold more highly expressed, on average, than genes without secondary structure. However, these genes were also more variably expressed across the 26 NAM lines, and this variability correlated with the number of mapping siRNAs. We conclude that local stem-loop structures are a nearly ubiquitous feature of expressed regions of the maize genome, that they correlate with higher siRNA mapping, and that they can represent a trade-off between functional need and the potentially negative consequences of siRNA production.

genomics↗

Multigenic resistance to Xylella fastidiosa in wild grapes (Vitis sps.) and its implications within a changing climate

Xylella fastidiosa is a bacterium that infects crops like grapevines, coffee, almonds, citrus and olives, causing economically devastating damage. There is, however, little understanding of the genes that contribute to resistance, the genomic architecture of resistance, and the potential role of climate in shaping resistance, in part because major crops like grapevines (V. vinifera) are not resistant to the bacterium. Here we studied a wild grapevine species, Vitis arizonica, that segregates for resistance to X. fastidiosa. Using genome-wide association, we identified candidate genes that mediate the host response to X. fastidiosa infection. We uncovered evidence that resistance requires genes from multiple genomic regions, based on data from breeding populations and from additional Vitis species. We also inferred that resistance evolved more than once in the wild, suggesting that wild Vitis species may be a rich source for resistance alleles and mechanisms. Finally, resistance in V. arizonica was climate dependent, because individuals from low (< 10{degrees}C) temperature locations in the wettest quarter were typically susceptible to infection, likely reflecting a lack of pathogen pressure in these climates. Surprisingly, climate was nearly as effective a predictor of resistance phenotypes as some genetic markers. This work underscores that pathogen pressure is likely to increase with climate, but it also provides genetic insight and tools for breeding and transforming resistant crops.

genetics↗

Using genomes and evolutionary analyses to screen for host-specificity and arms-race dynamics in the plant pathogen Xylella fastidiosa

Xylella fastidiosa infects several economically important crops in the Americas, and it also recently emerged in Europe. Here, using a set of Xylella genomes reflective of the genus-wide diversity, we performed a pan-genome analysis based on both core and accessory genes, for two purposes: i) to test associations between genetic divergence and plant host species and ii) to identify positively selected genes that are potentially involved in arms-race dynamics. For the former, tests yielded significant evidence for specialization of X. fastidiosa to plant host species. This observation contributes to a growing literature suggesting that the phylogenetic history of X. fastidiosa lineages affects host range. For the latter, our analyses uncovered evidence of positive selection across codons for 5.3% (67 of 1,257) of core genes and 5.4% (201 of 3,691) of accessory genes; these genes are candidates to encode interacting factors with plant and insect hosts. Most of these genes had unknown functions, but we identified some tractable candidates including nagZ_2, which encodes a beta-glucosidase that is important for Neisseria gonorrhoeae biofilm formation; cya, which modulates gene expression in pathogenic bacteria; and barA, a membrane associated histidine kinase that has roles in cell division, metabolism, and pili formation. ABSTRACT IMPORTANCEXylella fastidiosa causes devasting diseases to several critical crops. Because X. fastidiosa colonizes and infects many plant species, it is important to understand whether the genome of X. fastidiosa has genetic determinants that underlie specialization to specific host plants. We analyzed genome sequences of X. fastidiosa to investigate evolutionary relationships and to test for evidence of positive selection on specific genes. We found a significant signal between genome diversity and host plants, consistent with bacterial specialization to specific plant hosts. By screening for positive selection, we identified both core and accessory genes that may affect pathogenicity, including genes involved in biofilm formation.

microbiology↗

Insights into the domestication of avocado and potential genetic contributors to heterodichogamy

O_LIThe domestication history of avocado (Persea americana) remains unclear, in part due to a lack of suitable genomic tools. C_LIO_LIWe created a reference genome from the Gwen varietal, which is closely related to the economically dominant Hass varietal. We also compiled a database of 34 resequenced accessions that represented the three botanical races of P. americana. C_LIO_LIOur genome assembly had an N50 of 3.37 megabases, a BUSCO score of 91% and was scaffolded with a genetic map, producing 12 pseudo-chromosomes with 49,450 genes. We used the Gwen genome as a reference to investigate the population genomics of avocado. Our analyses were consistent with three separate domestication events; we estimated that the Mexican race diverged from the Lowland (formerly known as West Indian) and Guatemalan races >1 million years ago. We also identified putative targets of selective sweeps in domestication events; within the Guatemalan race, putative candidate genes were enriched for fruit development and ripening. We also investigated divergence between heterodichogamous flowering types. C_LIO_LIWith the help of a new reference genome, we inferred the domestication history of avocado and identified genes that may contribute to heterodichogamy, including genes with functions in pollination and floral development. C_LI

genomics↗

Climate Change, Crop Wild Relatives and Genomic Data: The persistence and agronomic utility of five Vitis species

Crop wild relatives (CWRs) have the capacity to contribute novel traits to agriculture. Given climate change, these contributions may be especially vital for the persistence of perennial crops, because perennials are often clonally propagated and consequently do not evolve rapidly. By studying the landscape genomics of samples from five Vitis CWRs (V. arizonica, V. mustangensis, V. riparia, V. berlandieri and V. girdiana) in the context of projected climate change, we addressed two goals. The first was to assess the relative potential of different CWR accessions to persist in the face of climate change. By integrating species distribution models with adaptive genetic variation, additional genetic features such as genomic load and a phenotype (resistance to Pierces Disease), we predicted that accessions from one species (V. mustangensis) are particularly well-suited to persist in future climates. The second goal was to identify which CWR accessions may contribute to bioclimatic adaptation for grapevine (V. vinifera) cultivation. To do so, we evaluated whether CWR accessions have the allelic capacity to persist if moved to locations where grapevines (V. vinifera) are cultivated in the United States. We identified six candidates from V. mustangensis and hypothesized that they may prove useful for contributing alleles that may mitigate climate impacts on viticulture. By identifying candidate germplasm, this work takes a conceptual step toward assessing the genomic and bioclimatic characteristics of CWRs.

evolutionary biology↗

The 3D architecture of the pepper (Capsicum annum) genome and its relationship to function and evolution

The architecture of topologically associating domains (TADs) varies across plant genomes. Understanding the functional consequences of this diversity requires insights into the pattern, structure, and function of TADs. Here, we present a comprehensive investigation of the 3D genome organization of pepper (Capsicum annuum) and its association with gene expression and genomic variants. We report the first chromosome-scale long-read genome assembly of pepper and generate Hi-C contact maps for four tissues. The contact maps indicate that 3D structure varies somewhat across tissues, but generally the genome was segregated into subcompartments that were correlated with transcriptional state. In addition, chromosomes were almost continuously spanned by TADs, with the most prominent found in large genomic regions that were rich in retrotransposons. A substantial fraction of TAD boundaries were demarcated by chromatin loops, suggesting loop extrusion is a major mechanism for TAD formation; many of these loops were bordered by genes, especially in highly repetitive regions, resulting in gene clustering in three dimensional space. Integrated analysis of Hi-C profiles and transcriptomes showed that change in 3D chromatin structures (e.g. subcompartments, TADs, and loops) was not the primary mechanism contributing to differential gene expression between tissues, but chromatin structure does play a role in transcription stability. TAD boundaries were significantly enriched for breaks of synteny and depletion of sequence variation, suggesting that TADs constrain patterns of genome structural evolution in plants. Together, our work provides insights into principles of 3D genome folding in large plant genomes and its association with function and evolution.

genomics↗

Extensive introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Introgressive hybridization can introduce adaptive genetic variation into a species or population. To evaluate the evolutionary forces that contribute to introgression, we studied six Vitis species that are native to the Southwestern United States and potentially useful for breeding grapevine (V. vinifera) rootstocks. By creating a reference genome from one wild species, V. arizonica, and by resequencing 130 accessions, we focused on identifying putatively introgressed regions (pIRs) between species. We found that up to ~8% of extant genome is attributable to introgression between species. The pIRs tended to be gene poor, located in regions of high recombination and enriched for genes implicated in disease resistance functions. To assess potential pIR function, we explored SNP associations to bioclimatic variables and to bacterial levels after infection with the causative agent of Pierces Disease. pIRs were enriched for SNPs associated with both climate and bacterial levels, suggesting potential drivers of adaptive events. Altogether, this study yields insights into the genomic extent of introgression, potential pressures that shape adaptive introgression, and the history of economically important wild relatives of a critical crop.

evolutionary biology↗

HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.

BackgroundDespite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary assembly will overrepresent both the size and complexity of the genome, which complicates downstream analysis such as scaffolding. ResultsHere we illustrate a new method, which we call HapSolo, that identifies secondary contigs and defines a primary assembly based on multiple pairwise contig alignment metrics. HapSolo evaluates candidate primary assemblies using BUSCO scores and then distinguishes among candidate assemblies using a cost function. The cost function can be defined by the user but by default considers the number of missing, duplicated and single BUSCO genes within the assembly. HapSolo performs hill climbing to minimize cost over thousands of candidate assemblies. We illustrate the performance of HapSolo on genome data from three species: the Chardonnay grape (Vitis vinifera), with a genome of 490Mb, a mosquito (Anopheles funestus; 200Mb) and the Thorny Skate (Amblyraja radiata; 2,650 Mb). ConclusionsHapSolo rapidly identified candidate assemblies that yield improvements in assembly metrics, including decreased genome size and improved N50 scores. Contig N50 scores improved by 35%, 9% and 9% for Chardonnay, mosquito and the thorny skate, respectively, relative to unreduced primary assemblies. The benefits of HapSolo were amplified by down-stream analyses, which we illustrated by scaffolding with Hi-C data. We found, for example, that prior to the application of HapSolo, only 52% of the Chardonnay genome was captured in the largest 19 scaffolds, corresponding to the number of chromosomes. After the application of HapSolo, this value increased to ~84%. The improvements for mosquito scaffolding were similar to that of Chardonnay (from 61% to 86%), but even more pronounced for thorny skate. We compared the scaffolding results to assemblies that were based on another published method for identifying secondary contigs, with generally superior results for HapSolo.

bioinformatics↗

Genomic evidence for recurrent genetic admixture during domestication mediterranean olive trees (Olea europaea).

BackgroundThe olive tree (Olea europaea L. subsp. europaea, Oleaceae) has been the most economic perennial crop for Mediterranean countries since its domestication around 6,000 years ago. Two taxonomic varieties are currently recognized: cultivated (var. europaea) and wild (var. sylvestris) trees. To shed light into the recent evolution and domestication of the olive tree, we sequenced the genomes of twelve individuals: ten var. europaea, one var. sylvestris, and one outgroup taxon (subsp. cuspidata). All of them were analysed together with an improved assembly of var. europaea reference genome and the available assembly of var. sylvestris. ResultsOur analyses show that cultivated olives exhibit slightly lower levels of overall genetic diversity than wild forms, and that this can be partially explained by the occurrence of a mild population bottleneck 5000-7000 years ago during the primary domestication period. We also provide the first phylogenetic analysis of genome-wide sequences, which supports a continuous process of domestication of the olive tree. This, together with population structure and introgression analyses highlights genetic admixture with wild populations across the Mediterranean Basin in the course of domestication. ConclusionsAltogether, our results suggest that a primary domestication area in the eastern Mediterranean basin was followed by numerous secondary events across most countries of southern Europe and northern Africa, often involving genetic admixture with genetically rich wild populations, particularly from the western Mediterranean Basin. Based on selection tests and a search for selective sweeps, we found that genes associated with stress response and developmental processes were positively selected in cultivars. However, we did not find evidence that genes involved in fruit size or oil content were under positive selection.

evolutionary biology↗

Evolutionary genomics of structural variation in Asian rice (Oryza sativa) and its wild progenitor (O. rufipogon)

Structural variants (SVs) are a largely unstudied feature of plant genome evolution, despite the fact that SVs contribute substantially to phenotypes. In this study, we discovered structural variants (SVs) across a population sample of 358 high-coverage, resequenced genomes of Asian rice (Oryza sativa) and its wild ancestor (O. rufipogon). In addition to this short-read dataset, we also inferred SVs from whole-genome assemblies and long-read data. Comparisons among datasets revealed different features of genome variability. For example, genome alignment identified a large (~4.3 Mb) inversion in indica rice varieties relative to an outgroup, and long-read analyses suggest that ~9% of genes from this outgroup are hemizygous. We focused, however, on the resequencing sample to investigate the population genomics of SVs. Clustering analyses with SVs recapitulated the rice cultivar groups that were also inferred from SNPs. However, the site-frequency spectrum of each SV type -- which included inversions, duplications, deletions, translocations and mobile element insertions -- was skewed toward lower frequency variants than synonymous SNPs, suggesting that SVs are predominantly deleterious. The strength of these deleterious effects varied among SV types, with inversions especially deleterious, and across transposable element (TE) families. Among TEs SINE and mariner insertions were especially deleterious, due to stronger selection against their insertions. We also used SVs to study domestication by contrasting between rice and O. rufipogon. Cultivated genomes contained ~25% more derived SVs than O. rufipogon, suggesting these deleterious SVs contribute to the cost of domestication. We also used SVs to study the effects of positive selection on the rice genome. Generally, the search for domestication genes were enriched for known candidates, suggesting some utility for SVs towards this purpose. More importantly, we detected hundreds to thousands of genes gained and lost during domestication, many of which are predicted to contribute to traits of agronomic interest.

evolutionary biology↗

The genetic basis of sex determination in grapevines (Vitis spp.)

Sex determination in grapevine evolved through a complex succession of switches in sexual systems. Phased genomes built with single molecule real-time sequencing reads were assembled for eleven accessions of cultivated hermaphrodite grapevines and dioecious males and females, including the ancestor of domesticated grapevine and other related wild species. By comparing the phased sex haplotypes, we defined the sex locus of the Vitis genus and identified polymorphisms spanning regulatory and coding sequences that are in perfect association with each sex-type throughout the genus. These findings identified a novel male-fertility candidate gene, INP1, and significantly refined the model of sex determination in Vitis and its evolution.

evolutionary biology↗

Transposable elements contribute to regulatory hubs stress-related long noncoding RNAs in Maize

Several studies have mined short-read RNA sequencing datasets to identify lncRNAs, and others have focused on the function of individual lncRNA in abiotic stress response. However, our understanding of the complement, function and origin of long-non-coding RNA (lncRNAs) response to abiotic stress, especially transposon derived lncRNA (TE-lncRNA), is still in its infancy. To discover and study lncRNAs in maize (Zea mays ssp. mays), we utilized a dataset of 127 RNA sequencing samples that included PacBio fl-cDNA and total RNA-Seq datasets. Overall, we identified 23,309 candidate lncRNAs, 60% of which were identified in polyadenylated (polyA+) samples. The majority (65%) of the 23,309 lncRNAs had sequence similarity to transposable elements (TEs). Most had similarity to long-terminal-repeat retrotransposons from the Copia and Gypsy superfamilies, representing the high proportion of these elements in the genome, but class II, DNA transposons were enriched for lncRNAs relative to their genomic representation by 2-fold. By assessing the fraction of lncRNAs that respond to abiotic stresses like heat, cold, salt and drought, we identified 1,077 differentially expressed lncRNA transcripts. Their expression was correlated (r2=0.48) with their nearest gene, suggesting that lncRNAs are subject to some of the cis regulatory features as neighboring genes. By inferring co-expression networks across our large dataset, we found that 39 lncRNAs act as major hubs in co-expression networks, of which 18 appeared to be derived from TEs. These results suggest that lncRNAs, especially TE-lncRNAs, may play key regulatory roles in moderating abiotic responses.

plant biology↗