Multi-omics assisted identification of the key and species-specific regulatory components of drought-tolerant mechanisms in Gossypium stocksii

A haplotype-resolved genome provides insight into allele-specific expression in wild walnut (Juglans regia L.)

Wild germplasm resources are crucial for gene mining and molecular breeding because of their special trait performance. Haplotype-resolved genome is an ideal solution for fully understanding the biology of subgenomes in highly heterozygous species. Here, we surveyed the genome of a wild walnut tree from Gongliu County, Xinjiang, China, and generated a haplotype-resolved reference genome of 562.99 Mb (contig N50 = 34.10 Mb) for one haplotype (hap1) and 561.07 Mb (contig N50 = 33.91 Mb) for another haplotype (hap2) using PacBio high-fidelity (HiFi) reads and Hi-C technology. Approximately 527.20 Mb (93.64%) of hap1 and 526.40 Mb (93.82%) of hap2 were assigned to 16 pseudochromosomes. A total of 41039 and 39744 protein-coding gene models were predicted for hap1 and hap2, respectively. Moreover, 123 structural variations (SVs) were identified between the two haplotype genomes. Allele-specific expression genes (ASEGs) that respond to cold stress were ultimately identified. These datasets can be used to study subgenome evolution, for functional elite gene mining and to discover the transcriptional basis of specific traits related to environmental adaptation in wild walnut.

A comprehensive overview of cotton genomics, biotechnology and molecular biological studies

Cotton is an irreplaceable economic crop currently domesticated in the human world for its extremely elongated fiber cells specialized in seed epidermis, which makes it of high research and application value. To date, numerous research on cotton has navigated various aspects, from multi-genome assembly, genome editing, mechanism of fiber development, metabolite biosynthesis, and analysis to genetic breeding. Genomic and 3D genomic studies reveal the origin of cotton species and the spatiotemporal asymmetric chromatin structure in fibers. Mature multiple genome editing systems, such as CRISPR/Cas9, Cas12 (Cpf1) and cytidine base editing (CBE), have been widely used in the study of candidate genes affecting fiber development. Based on this, the cotton fiber cell development network has been preliminarily drawn. Among them, the MYB-bHLH-WDR (MBW) transcription factor complex and IAA and BR signaling pathway regulate the initiation; various plant hormones, including ethylene, mediated regulatory network and membrane protein overlap fine-regulate elongation. Multistage transcription factors targeting CesA 4, 7, and 8 specifically dominate the whole process of secondary cell wall thickening. And fluorescently labeled cytoskeletal proteins can observe real-time dynamic changes in fiber development. Furthermore, research on the synthesis of cotton secondary metabolite gossypol, resistance to diseases and insect pests, plant architecture regulation, and seed oil utilization are all conducive to finding more high-quality breeding-related genes and subsequently facilitating the cultivation of better cotton varieties. This review summarizes the paramount research achievements in cotton molecular biology over the last few decades from the above aspects, thereby enabling us to conduct a status review on the current studies of cotton and provide strong theoretical support for the future direction.

Identification and characterization of the LDAP family revealed GhLDAP2_Dt enhances drought tolerance in cotton

Lipid droplet-associated proteins (LDAPs) play essential roles in tissue growth and development and in drought stress responses in plants. Cotton is an important fiber and cash crop; however, the LDAP family has not been characterized in cotton. In this study, a total of 14, six, seven, and seven genes were confirmed as LDAP family members in Gossypium hirsutum, Gossypium raimondii, Gossypium arboreum, and Gossypium stocksii, respectively. Additionally, expansion in the LDAP family occurred with the formation of Gossypium, which is mirrored in the number of LDAPs found in five Malvaceae species (Gossypioides kirkii, Bombax ceiba, Durio zibethinus, Theobroma cacao, and Corchorus capsularis), Arabidopsis thaliana, and Carica papaya. The phylogenetic tree showed that the LDAP genes in cotton can be divided into three groups (I, II, and III). The analysis of gene structure and conserved domains showed that LDAPs derived from group I (LDAP1/2/3) are highly conserved during evolution, while members from groups II and III had large variations in both domains and gene structures. The gene expression pattern analysis of LDAP genes showed that they are expressed not only in the reproductive organs (ovule) but also in vegetative organs (root, stem, and leaves). The expression level of two genes in group III, GhLDAP6_At/Dt, were significantly higher in fiber development than in other tissues, indicating that it may be an important regulator of cotton fiber development. In group III, GhLDAP2_At/Dt, especially GhLDAP2_Dt was strongly induced by various abiotic stresses. Decreasing the expression of GhLDAP2_Dt in cotton via virus-induced gene silencing increased the drought sensitivity, and the over-expression of GhLDAP2_Dt led to increased tolerance to mannitol-simulated osmotic stress at the germination stage. Thus, we conclude that GhLDAP2_Dt plays a positive role in drought tolerance.

GhMYB44 enhances stomatal closure to confer drought stress tolerance in cotton and Arabidopsis

MYB genes play crucial roles in plant response to abiotic stress. However, the function of MYB genes in cotton during abiotic stress is less well elucidated. Here, we found an R2R3-type MYB gene, GhMYB44, was induced by simulated drought (PEG6000) and ABA in three cotton varieties. After drought stress, the GhMYB44-silenced plants showed substantial changes at the physiological level, including significantly increased malondialdehyde content and decreased SOD activity. Silencing the GhMYB44 gene increased stomatal aperture and water loss rate, reduced plant drought tolerance. Transgenic Arabidopsis thaliana over-expressed GhMYB44 (GhMYB44-OE) enhanced resistance to mannitol-simulated osmotic stress. The stomatal aperture of the GhMYB44-OE Arabidopsis was significantly smaller than those of the wild type (WT), and the GhMYB44-OE Arabidopsis increased tolerance to drought stress. Transgenic Arabidopsis had higher germination rate under ABA treatment compared to WT, and the transcript levels of AtABI1, AtPP2CA and AtHAB1 were suppressed in GhMYB44-OE plants, indicating a potential role of GhMYB44 in the ABA signal pathway. These results showed that GhMYB44 acts as a positive regulator in plant response to drought stress, potentially useful for engineering drought-tolerant cotton.

An R2R3 MYB gene GhMYB3 functions in drought stress by negatively regulating stomata movement and ROS accumulation

MYB transcription factors are one of the largest TF families involved in plant growth and development as well as biotic and abiotic stresses. In this study, we report the identification and functional characterization of a stress-responsive MYB gene (GhMYB3) from drought stress related transcriptome of upland cotton. GhMYB3, belonging to the R2R3-type, has high sequence similarity with AtMYB3 and was localized in the nucleus. Silence of GhMYB3 enhanced the drought tolerance of cotton seedlings and plants, reduced the water loss rate, and enhanced stomatal closure. In addition, GhMYB3i lines exhibited less ROS accumulation, as well as higher antioxidant enzyme activity and increased content of anthocyanins and proanthocyanidins than WT plants after drought stress. The expression level of flavonoid biosynthesis- and stress-related genes were up-regulated in GhMYB3i lines under drought stress condition. These results demonstrated that GhMYB3 acted as a negative regulator in upland cotton response to drought stress by regulating stomatal closure and ROS accumulation.

Genomic innovation and regulatory rewiring during evolution of the cotton genus Gossypium

Phenotypic diversity and evolutionary innovation ultimately trace to variation in genomic sequence and rewiring of regulatory networks. Here, we constructed a pan-genome of the Gossypium genus using ten representative diploid genomes. We document the genomic evolutionary history and the impact of lineage-specific transposon amplification on differential genome composition. The pan-3D genome reveals evolutionary connections between transposon-driven genome size variation and both higher-order chromatin structure reorganization and the rewiring of chromatin interactome. We linked changes in chromatin structures to phenotypic differences in cotton fiber and identified regulatory variations that decode the genetic basis of fiber length, the latter enabled by sequencing 1,005 transcriptomes during fiber development. We showcase how pan-genomic, pan-3D genomic and genetic regulatory data serve as a resource for delineating the evolutionary basis of spinnable cotton fiber. Our work provides insights into the evolution of genome organization and regulation and will inform cotton improvement by enabling regulome-based approaches.

Engineering drought and salinity tolerance traits in crops through CRISPR-mediated genome editing: Targets, tools, challenges, and perspectives

Prolonged periods of drought triggered by climate change hamper plant growth and cause substantial agricultural yield losses every year. In addition to drought, salinity is one of the major abiotic stresses that severely affect crop health and agricultural production. Plant responses to drought and salinity involve multiple processes that operate in a spatiotemporal manner, such as stress sensing, perception, epigenetic modifications, transcription, post-transcriptional processing, translation, and post-translational changes. Consequently, drought and salinity stress tolerance are polygenic traits influenced by genome-environment interactions. One of the ideal solutions to these challenges is the development of high-yielding crop varieties with enhanced stress tolerance, together with improved agricultural practices. Recently, genome-editing technologies, especially clustered regularly interspaced short palindromic repeats (CRISPR) tools, have been effectively applied to elucidate how plants deal with drought and saline environments. In this work, we aim to portray that the combined use of CRISPR-based genome engineering tools and modern genomic-assisted breeding approaches are gaining momentum in identifying genetic determinants of complex traits for crop improvement. This review provides a synopsis of plant responses to drought and salinity stresses at the morphological, physiological, and molecular levels. We also highlight recent advances in CRISPR-based tools and their use in understanding the multi-level nature of plant adaptations to drought and salinity stress. Integrating CRISPR tools with modern breeding approaches is ideal for identifying genetic factors that regulate plant stress-response pathways and for the introgression of beneficial traits to develop stress-resilient crops.

Genome-Wide Identification of the NAC Transcription Factors in Gossypium hirsutum and Analysis of Their Responses to Verticillium wilt

The NAC transcription factors (NACs) are among the largest plant-specific gene regulators and play essential roles in the transcriptional regulation of both biotic and abiotic stress responses. Verticillium wilt of cotton caused by Verticillium dahliae (V. dahliae) is a destructive soil-borne disease that severely decreases cotton yield and quality. Although NACs constitute a large family in upland cotton (G. hirsutum L.), there is little systematic investigation of the NACs’ responsive to V. dahliae that has been reported. To further explore the key NACs in response to V. dahliae resistance and obtain a better comprehension of the molecular basis of the V. dahliae stress response in cotton, a genome-wide survey was performed in this study. To investigate the roles of GhNACs under V. dahliae induction in upland cotton, mRNA libraries were constructed from mocked and infected roots of upland cotton cultivars with the V. dahliae-sensitive cultivar “Jimian 11” (J11) and V. dahliae-tolerant cultivar “Zhongzhimian 2” (Z2). A total of 271 GhNACs were identified. Genome analysis showed GhNACs phylogenetically classified into 12 subfamilies and distributed across 26 chromosomes and 20 scaffolds. A comparative transcriptome analysis revealed 54 GhNACs were differentially expressed under V. dahliae stress, suggesting a potential role of these GhNACs in disease response. Additionally, one NAC090 homolog, GhNAC204, could be a positive regulator of cotton resistance to V. dahliae infection. These results give insight into the GhNAC gene family, identify GhNACs’ responsiveness to V. dahliae infection, and provide potential molecular targets for future studies for improving V. dahliae resistance in cotton.

Integrative Analysis of Expression Profiles of mRNA and MicroRNA Provides Insights of Cotton Response to Verticillium dahliae

Cotton Verticillium wilt, caused by the notorious fungal phytopathogen Verticillium dahliae (V. dahliae), is a destructive soil-borne vascular disease and severely decreases cotton yield and quality worldwide. Transcriptional and post-transcriptional regulation of genes responsive to V. dahliae are crucial for V. dahliae tolerance in plants. However, the specific microRNAs (miRNAs) and the miRNA/target gene crosstalk involved in cotton resistance to Verticillium wilt remain largely limited. To investigate the roles of regulatory RNAs under V. dahliae induction in upland cotton, mRNA and small RNA libraries were constructed from mocked and infected roots of two upland cotton cultivars with the V. dahliae-sensitive cultivar Jimian 11 (J11) and the V. dahliae-tolerant cultivar Zhongzhimian 2 (Z2). A comparative transcriptome analysis revealed 8330 transcripts were differentially expressed under V. dahliae stress and associated with several specific biological processes. Moreover, small RNA sequencing identified a total of 383 miRNAs, including 330 unique conserved miRNAs and 53 novel miRNAs. Analysis of the regulatory network involved in the response to V. dahliae stress revealed 31 differentially expressed miRNA−mRNA pairs, and the up-regulation of GhmiR395 and down-regulation of GhmiR165 were possibly involved in the response to V. dahliae by regulating sulfur assimilation through the GhmiR395-APS1/3 module and the establishment of the vascular pattern and secondary cell wall formation through GhmiR165-REV module, respectively. The integrative analysis of mRNA and miRNA expression profiles from upland cotton lays the foundation for further investigation of regulatory mechanisms of resistance to Verticillium wilt in cotton and other crops.

Biochemical and Expression Analyses Revealed the Involvement of Proanthocyanidins and/or Their Derivatives in Fiber Pigmentation of Gossypium stocksii

The wild cotton species Gossypium stocksii produces a brown fiber that provides a valuable resource for the color improvement of naturally colored cotton (NCC) fiber. However, the biochemical basis and molecular mechanism of its fiber pigmentation remain unclear. Herein, we analyzed the dynamics of proanthocyanidins (PAs) accumulation in developing the fiber of G. stocksii, which suggested a similar role of PAs and/or their derivatives in the fiber coloration of G. stocksii. In addition, comparative transcriptomics analyses revealed that the PA biosynthetic genes were expressed at higher levels and for a longer period in developing fibers of G. stocksii than G. arboreum (white fiber), and the transcription factors, such as TT8, possibly played crucial regulatory roles in regulating the PA branch genes. Moreover, we found that the anthocyanidin reductase (ANR) was expressed at a higher level than the leucoanthocyanidin reductases (LARs) and significantly upregulated during fiber elongation, suggesting a major role of ANR in PA synthesis in G. stocksii fiber. In summary, this work revealed the accumulation of PAs and the expression enhancement of PA biosynthetic genes in developing fibers of G. stocksii. We believe this work will help our understanding of the molecular mechanisms of cotton fiber coloration and further promote the future breeding of novel NCCs.

Multi-Omics-Based Discovery of Plant Signaling Molecules

Plants produce numerous structurally and functionally diverse signaling metabolites, yet only relatively small fractions of which have been discovered. Multi-omics has greatly expedited the discovery as evidenced by increasing recent works reporting new plant signaling molecules and relevant functions via integrated multi-omics techniques. The effective application of multi-omics tools is the key to uncovering unknown plant signaling molecules. This review covers the features of multi-omics in the context of plant signaling metabolite discovery, highlighting how multi-omics addresses relevant aspects of the challenges as follows: (a) unknown functions of known metabolites; (b) unknown metabolites with known functions; (c) unknown metabolites and unknown functions. Based on the problem-oriented overview of the theoretical and application aspects of multi-omics, current limitations and future development of multi-omics in discovering plant signaling metabolites are also discussed.

Recent Advances for Drought Stress Tolerance in Maize (Zea mays L.): Present Status and Future Prospects

Drought stress has severely hampered maize production, affecting the livelihood and economics of millions of people worldwide. In the future, as a result of climate change, unpredictable weather events will become more frequent hence the implementation of adaptive strategies will be inevitable. Through utilizing different genetic and breeding approaches, efforts are in progress to develop the drought tolerance in maize. The recent approaches of genomics-assisted breeding, transcriptomics, proteomics, transgenics, and genome editing have fast-tracked enhancement for drought stress tolerance under laboratory and field conditions. Drought stress tolerance in maize could be considerably improved by combining omics technologies with novel breeding methods and high-throughput phenotyping (HTP). This review focuses on maize responses against drought, as well as novel breeding and system biology approaches applied to better understand drought tolerance mechanisms and the development of drought-tolerant maize cultivars. Researchers must disentangle the molecular and physiological bases of drought tolerance features in order to increase maize yield. Therefore, the integrated investments in field-based HTP, system biology, and sophisticated breeding methodologies are expected to help increase and stabilize maize production in the face of climate change.