Abstract Stress events have transgenerational effects on plant growth and development. In Mediterranean regions, water-deficit and heat (WH) stress is a frequent issue that negatively affects crop yield and quality. Nitrogen (N) is an essential plant macronutrient and often a yield-limiting factor for crops. Here, the response of durum wheat seedlings to N starvation under the transgenerational effects of WH stress was investigated in two genotypes. Both genotypes showed a significant reduction in seedling height, leaf number, shoot and root weight (fresh and dry), primary root length, and chlorophyll content under N starvation stress. However, in the WH stress-tolerant genotype, the percentage reduction of most traits was lower in progeny from the stressed parents than progeny from the control parents. Small RNA sequencing identified 1534 microRNAs in different treatment groups. Differentially expressed microRNAs (DEMs) were characterized subject to N starvation, parental stress and genotype factors, with their target genes identified in silico. GO and KEGG enrichment analyses revealed the biological functions, associated with DEM-target modules in stress adaptation processes, that could contribute to the phenotypic differences observed between the two genotypes. The study provides the first evidence of the transgenerational effects of WH stress on the N starvation response in durum wheat. Keywords: nitrogen starvation, water-deficit and heat stress, transgenerational effects, cross stress tolerance, microRNAs, crop improvement 1. Introduction Environmental stresses such as water deficiency, extreme temperatures, and soil nutrient deficiency present significant challenges to the development and production of crops. Durum wheat (Triticum turgidum L. ssp. durum) is a tetraploid wheat species (2n = 4x = 28, AABB) mainly grown in the Mediterranean basin, North America and the Australian wheat belt [[28]1,[29]2]. Compared with hexaploid wheat (bread wheat), durum wheat has higher grain protein content, strong yellow pigmentation, harder kernels, and a unique nutty flavor [[30]3,[31]4]. With its significant agronomic value, excellent grain quality, and versatile end use, durum wheat is considered as a staple crop in Mediterranean regions. Grown under rain-fed conditions, durum wheat is often exposed to frequent episodes of water-deficit and heat stress [[32]5,[33]6]. In the field, high temperatures start to occur while soil water supply declines gradually during reproductive stages (e.g., flowering and grain filling) [[34]4,[35]7]. A significant number of studies have investigated the impact of the independent and combined effects of water-deficit and heat stress on plant growth, grain productivity, and grain quality in wheat [[36]4,[37]5,[38]6,[39]7,[40]8,[41]9]. Water-deficit and heat stress have significant impacts on photosynthetic activities, transpiration efficiency, cellular osmotic homeostasis, nutrient uptake, and metabolite production [[42]1,[43]4,[44]8,[45]10]. Such changes affect the reproductive processes in wheat, ultimately leading to changes in yield components (e.g., grain number, spikelet number, grain weight) and grain quality traits (e.g., protein content, starch content, antioxidant levels) [[46]1,[47]4,[48]7,[49]10]. Recent evidence suggests that water-deficit and heat stress could affect the stress response systems in the following generation through changes at the physiological, phenotypical and epigenetic level [[50]11,[51]12,[52]13,[53]14,[54]15,[55]16,[56]17]. A few studies have demonstrated the adaptive value of the transgenerational influence of the same stress type in the offspring [[57]13]. More interestingly, stress priming of one abiotic stress could have a beneficial impact on the occurrence of a different stress through synergistic stress signaling pathways [[58]18,[59]19,[60]20,[61]21]. For example, terminal drought stress applied in bread wheat from the reproductive stage until maturity improved the tolerance against salt stress in the next generation, mainly through changes in osmolyte accumulation, water relations modulation and lipid peroxidation [[62]21]. As crops grown under field conditions are often exposed to multiple stressors (simultaneously, sequentially, or across multiple generations), investigation towards such phenomena (cross-stress tolerance or cross-stress effects) would be very beneficial for providing new strategies in crop breeding practices. However, it remains unknown how parental water-deficit and heat stress affect progeny performance under a different stress (e.g., nitrogen stress) in durum wheat. Soil N availability has been a major limiting factor in wheat production. Nitrogen deficiency negatively affects the grain yield as well as grain quality in cereal crops through its impact on the nutrient uptake, photosynthesis rate, respiration efficiency, and enzyme activities [[63]22,[64]23,[65]24,[66]25,[67]26,[68]27,[69]28,[70]29]. N-stressed crop plants often have chlorotic leaves, less fertile tillers, shorter plant height and slow growth [[71]27,[72]28,[73]29]. Changes in root architecture, root length, and root biomass are also known morphological responses to N starvation [[74]28,[75]30]. Several studies in wheat have investigated the molecular networks controlling the N stress response and N use efficiency through high-throughput approaches [[76]28,[77]31,[78]32]. Specifically, a transcriptomic study in durum wheat has identified 4626 differentially expressed genes (DEGs) in response to N starvation at the grain filling stage [[79]31]. The majority of the DEGs were nitrate or ammonium transporters, transcription factors, protein kinases and other genes involved in N assimilation. Furthermore, stress-responsive microRNAs (miRNAs) have also gained increasing attention for their essential roles in regulating plant adaptive responses to nutrient deprivation [[80]23,[81]25,[82]33,[83]34,[84]35]. As an essential type of epigenetic regulator, miRNAs fine-tune the expression of their protein-coding target genes through post-transcriptional gene silencing [[85]36,[86]37,[87]38,[88]39,[89]40,[90]41,[91]42]. In crops, miRNAs can rapidly respond to various environmental and developmental cues, playing important roles in plant growth, reproductive development and stress adaptation [[92]36,[93]43,[94]44,[95]45,[96]46,[97]47]. In particular, studies in durum wheat have discovered a significant number of miRNAs that play central roles in water-deficit stress, heat stress, and N-stress response networks [[98]9,[99]12,[100]23,[101]25,[102]48,[103]49,[104]50,[105]51,[106]52,[ 107]53,[108]54]. Our previous research had shown that the parental water-deficit stress had a significant impact on the durum miRNA transcriptome in the progeny, contributing to the differences in stress response and crop performance when the next generation was exposed to water-deficit stress [[109]11]. We have also demonstrated that the combination of parental water-deficit stress and heat stress significantly affected progeny germination traits and seedling vigor through changes in the miRNAome [[110]12]. However, it is unknown how the miRNA-regulated N stress response networks are affected by the transgenerational effects of water-deficit and heat stress. In this study, we characterized the morphological and physiological changes of durum wheat seedlings in response to N starvation under the transgenerational effects of water-deficit stress and heat (WH) stress in a WH stress-tolerant and WH stress-sensitive genotype. Using the small RNA sequencing approach, a systematic analysis of the miRNA expression profile subject to the progeny treatment factor, parental treatment factor, and genotype factor was performed on a genome-wide scale. To our knowledge, this is the first description of the transgenerational cross-stress effects in durum wheat. The results provide new insights to researchers and breeding programs addressing stress-tolerance improvement in cereal crops. 2. Results 2.1. Seedling Performance of Two Durum Wheat Genotypes under the Effects of Parental Water-Deficit and Heat Stress and Progeny N Starvation Stress Two Australian durum wheat genotypes were used in this study. DBA Aurora is tolerant to water-deficit and heat (WH) stress and L6 (a University of Adelaide breeding line) is sensitive to WH stress [[111]4]. To study the transgenerational effects of parental stress treatment, seeds of the two genotypes were collected from control (CG) and WH-stressed parents in a previous experiment [[112]4]. There were four seed groups: AuCG (seeds from DBA Aurora parents treated with the control condition), AuWH (seeds from DBA Aurora parents treated with water-deficit and heat stress), L6CG (seeds from L6 parents treated with the control condition) and L6WH (seeds from L6 parents treated with water-deficit and heat stress). To study the response of progeny to N starvation stress, two treatment groups—control (C) and N starvation (N)—were set up for each seed group. Therefore, the current study had eight treatment groups in total: AuCG_C (DBA Aurora control parents, progeny treated with the control), AuCG_N (DBA Aurora control parents, progeny treated with N starvation), AuWH_C (DBA Aurora water-deficit and heat stress parents, progeny treated with the control), AuWH_N (DBA Aurora water-deficit and heat stress parents, progeny treated with N starvation), L6CG_C (L6 control parents, progeny treated with the control), L6CG_N (L6 control parents, progeny treated with N starvation), L6WH_C (L6 water-deficit and heat stress parents, progeny treated with the control), and L6WH_N (L6 water-deficit and heat stress parents, progeny treated with N starvation). To evaluate seedling performance, eight morphological and physiological traits were measured at the three-week stage: seedling height, leaf number, shoot fresh weight, shoot dry weight, root fresh weight, root dry weight, primary root length, and chlorophyll content ([113]Table 1 and [114]Table 2). The growth and development of durum wheat seedlings were significantly affected by N deficiency. For progeny groups with the same parental origin, all eight traits showed a significant reduction under N starvation stress when compared with their control (i.e., AuCG_N vs. AuCG_C, AuWH_N vs. AuWH_C, L6CG_N vs. L6CG_C, and L6WH_N vs. L6WH_C). However, the % reduction of each trait varied across progeny groups in the two genotypes. For example, for plant height, progeny from the WH parents appeared to have a lower percentage reduction in response to N starvation when compared with the progeny from the control parents in both genotypes. In DBA Aurora, the percentage reduction of plant height was 32.8% between AuWH_N vs. AuWH_C, while the percentage reduction was 34.5% between AuCG_N vs. AuCG_C ([115]Table 1). In L6, the percentage reduction of plant height was 34.3% between L6WH_N vs. L6WH_C, while the percentage reduction was 35.9% between L6CG_N vs. 6CG_C ([116]Table 2). A similar pattern was also observed for the primary root length (11.3% (AuWH_N vs. AuWH_C) and 13.8% (AuCG_N vs. AuCG_C) in DBA Aurora; 13.8% (L6WH_N vs. L6WH_C) and 14.2% (L6CG_N vs. 6CG_C) in L6). Table 1. Seedling performance traits measured in DBA Aurora. The treatment groups are: AuCG_C (DBA Aurora control parents, progeny treated with the control), AuCG_N (DBA Aurora control parents, progeny treated with N starvation), AuWH_C (DBA Aurora water-deficit and heat stress parents, progeny treated with the control), AuWH_N (DBA Aurora water-deficit and heat stress parents, progeny treated with N starvation). Results shown as mean ± SE (n = 6). Treatment Group Seedling Height (cm) Leaf Number Shoot Fresh Weight (g) Shoot Dry Weight (g) Root Fresh Weight (g) Root Dry Weight (g) Primary Root Length (cm) Chlorophyll Content (SPAD Units) AuCG_C 36.92 ± 0.77 5.42 ± 0.15 1.658 ± 0.058 0.211 ± 0.009 1.327 ± 0.026 0.155 ± 0.004 27.62 ± 0.46 48.33 ± 0.70 AuCG_N 24.17 ± 0.42 3.17 ± 0.25 0.605 ± 0.022 0.087 ± 0.003 0.779 ± 0.018 0.094 ± 0.001 23.80 ± 0.34 38.38 ± 0.57 % Reduction 34.5% 41.5% 63.5% 60.7% 41.3% 39.3% 13.8% 20.6% AuWH_C 35.93 ± 0.53 5.33 ± 0.17 1.630 ± 0.060 0.214 ± 0.006 1.328 ± 0.027 0.154 ± 0.003 28.77 ± 0.34 49.18 ± 0.55 AuWH_N 24.13 ± 0.50 3.25 ± 0.17 0.640 ± 0.019 0.089 ± 0.001 0.804 ± 0.023 0.097 ± 0.002 25.52 ± 0.41 40.28 ± 0.55 % Reduction 32.8% 39.1% 60.7% 58.4% 39.4% 37.1% 11.3% 18.1% F pr. Parent treatment 0.381 1.000 0.940 0.667 0.584 0.876 0.001 0.032 F pr. Progeny treatment <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 F pr. Parent × Progeny treatment 0.413 0.663 0.481 0.412 0.613 0.447 0.476 0.388 l.s.d Parent treatment n.a ^1 n.a n.a n.a n.a n.a 0.813 1.242 l.s.d Progeny treatment 1.184 0.393 0.092 0.011 0.049 0.005 0.813 1.242 l.s.d Parent × Progeny treatment n.a n.a n.a n.a n.a n.a n.a n.a [117]Open in a new tab ^1 n.a, not applicable. Table 2. Seedling performance traits measured in L6. The treatment groups are: L6CG_C (L6 control parents, progeny treated with the control), L6CG_N (L6 control parents, progeny treated with N starvation), L6WH_C (L6 water-deficit and heat stress parents, progeny treated with the control), L6WH_N (L6 water-deficit and heat stress parents, progeny treated with N starvation). Results shown as mean ± SE (n = 6). Treatment Group Seedling Height (cm) Leaf Number Shoot Fresh Weight (g) Shoot Dry Weight (g) Root Fresh Weight (g) Root Dry Weight (g) Primary Root Length (cm) Chlorophyll Content (SPAD Units) L6CG_C 35.47 ± 0.45 5.00 ± 0.22 1.556 ± 0.040 0.205 ± 0.005 1.313 ± 0.024 0.152 ± 0.002 27.13 ± 0.35 47.33 ± 0.73 L6CG_N 22.73 ± 0.57 2.83 ± 0.17 0.562 ± 0.010 0.076 ± 0.002 0.755 ± 0.019 0.090 ± 0.002 23.28 ± 0.37 35.97 ± 0.60 % Reduction 35.9% 43.3% 63.9% 63.1% 42.5% 40.9% 14.2% 24.0% L6WH_C 34.42 ± 0.57 5.00 ± 0.18 1.502 ± 0.046 0.199 ± 0.006 1.303 ± 0.021 0.152 ± 0.003 27.83 ± 0.31 46.28 ± 0.56 L6WH_N 22.60 ± 0.63 2.75 ± 0.11 0.517 ± 0.011 0.072 ± 0.001 0.735 ± 0.022 0.088 ± 0.002 24.00 ± 0.31 34.90 ± 0.62 % Reduction 34.3% 45.0% 65.6% 63.9% 43.6% 41.7% 13.8% 24.6% F pr. Parent treatment 0.301 0.815 0.133 0.211 0.507 0.704 0.047 0.108 F pr. Progeny treatment <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 F pr. Parent × Progeny treatment 0.421 0.815 0.893 0.759 0.826 0.799 0.980 0.990 F pr. Parent treatment n.a ^1 n.a n.a n.a n.a n.a 0.697 n.a F pr. Progeny treatment 1.164 0.367 0.066 0.009 0.045 0.005 0.697 1.313 F pr. Parent × Progeny treatment n.a n.a n.a n.a n.a n.a n.a n.a [118]Open in a new tab ^1 n.a, not applicable. For the other six traits (leaf number, shoot fresh weight, shoot dry weight, root fresh weight, root dry weight, primary root length, and chlorophyll content), a genotype-dependent pattern can be observed when it comes to the transgenerational effects of parental treatment. For DBA Aurora, the WH stress-tolerant variety, the parental exposure of WH helped to mitigate the negative effects of N starvation in the progeny (lower percentage reduction for the traits measured). For example, in DBA Aurora, the percentage reduction of chlorophyll content in progeny groups from the AuCG parents was 20.6%, while in the progeny from the AuWH parents the percentage reduction was 18.1% ([119]Table 1). In contrast, for the WH-sensitive genotype L6, the parental exposure of WH exacerbated the negative impacts of N starvation. For example, for shoot fresh weight, the percentage reduction in progeny from the L6CG parents was 63.9%, while in progeny groups from the L6WH parents, the reduction rate was 65.6% ([120]Table 2). 2.2. Durum Wheat MiRNA Expression Profile across Different Treatment Groups To investigate how miRNAs are involved in the N starvation response under the effects of transgenerational WH stress, eight sRNA libraries were constructed and sequenced from the eight treatment groups (AuCG_C, AuCG_N, AuWH_C, AuWH_N, L6CG_C, L6CG_N, L6WH_C, L6WH_N). In total, over 143 million raw reads were generated with over 51 million reads being unique ([121]Table S1). After filtering and data processing, a total of 102.05 million clear sRNA reads were obtained, of which over 45 million were unique sRNA reads ([122]Table S1). Through the bioinformatics pipeline, a total of 1534 miRNA-MIR entries (different combinations of mature miRNA products and MIR origins in the genome) were identified, with 190 being novel miRNAs ([123]Table S2). The identified miRNAs were grouped into five categories (group 1 to 5). The definition and selection criteria for each group were described previously [[124]12]. Briefly, groups 1 to 4 contained different types of conserved miRNAs, and group 5 included all the novel miRNAs identified in this study. The conserved miRNAs belonged to 61 MIR families ([125]Table S2). Group 2 (definition: sRNA reads can be mapped to miRNA references in the