Integrative Omics Analysis of Three Oil Palm Varieties Reveals (Tanzania × Ekona) TE as a Cold-Resistant Variety in Response to Low-Temperature Stress.

Oil palm (Elaeis guineensis Jacq.) is an economically important tropical oil crop widely cultivated in tropical zones worldwide. Being a tropical crop, low-temperature stress adversely affects the oil palm. However, integrative leaf transcriptomic and proteomic analyses have not yet been conducted on an oil palm crop under cold stress. In this study, integrative omics transcriptomic and iTRAQ-based proteomic approaches were employed for three oil palm varieties, i.e., B × E (Bamenda × Ekona), O × G (E. oleifera × Elaeis guineensis), and T × E (Tanzania × Ekona), in response to low-temperature stress. In response to low-temperature stress at (8 °C) for 5 days, a total of 5175 up- and 2941 downregulated DEGs in BE-0_VS_BE-5, and a total of 3468 up- and 2443 downregulated DEGs for OG-0_VS_OG-5, and 3667 up- and 2151 downregulated DEGs for TE-0_VS_TE-5 were identified. iTRAQ-based proteomic analysis showed 349 up- and 657 downregulated DEPs for BE-0_VS_BE-5, 372 up- and 264 downregulated DEPs for OG-0_VS_OG-5, and 500 up- and 321 downregulated DEPs for TE-0_VS_TE-5 compared to control samples treated at 28 °C and 8 °C, respectively. The KEGG pathway correlation of oil palm has shown that the metabolic synthesis and biosynthesis of secondary metabolites pathways were significantly enriched in the transcriptome and proteome of the oil palm varieties. The correlation expression pattern revealed that TE-0_VS_TE-5 is highly expressed and BE-0_VS_BE-5 is suppressed in both the transcriptome and proteome in response to low temperature. Furthermore, numerous transcription factors (TFs) were found that may regulate cold acclimation in three oil palm varieties at low temperatures. Moreover, this study identified proteins involved in stresses (abiotic, biotic, oxidative, and heat shock), photosynthesis, and respiration in iTRAQ-based proteomic analysis of three oil palm varieties. The increased abundance of stress-responsive proteins and decreased abundance of photosynthesis-related proteins suggest that the TE variety may become cold-resistant in response to low-temperature stress. This study may provide a basis for understanding the molecular mechanism for the adaptation of oil palm varieties in response to low-temperature stress in China.

Applications of Multi-Omics Technologies for Crop Improvement.

Multiple "omics" approaches have emerged as successful technologies for plant systems over the last few decades. Advances in next-generation sequencing (NGS) have paved a way for a new generation of different omics, such as genomics, transcriptomics, and proteomics. However, metabolomics, ionomics, and phenomics have also been well-documented in crop science. Multi-omics approaches with high throughput techniques have played an important role in elucidating growth, senescence, yield, and the responses to biotic and abiotic stress in numerous crops. These omics approaches have been implemented in some important crops including wheat (Triticum aestivum L.), soybean (Glycine max), tomato (Solanum lycopersicum), barley (Hordeum vulgare L.), maize (Zea mays L.), millet (Setaria italica L.), cotton (Gossypium hirsutum L.), Medicago truncatula, and rice (Oryza sativa L.). The integration of functional genomics with other omics highlights the relationships between crop genomes and phenotypes under specific physiological and environmental conditions. The purpose of this review is to dissect the role and integration of multi-omics technologies for crop breeding science. We highlight the applications of various omics approaches, such as genomics, transcriptomics, proteomics, metabolomics, phenomics, and ionomics, and the implementation of robust methods to improve crop genetics and breeding science. Potential challenges that confront the integration of multi-omics with regard to the functional analysis of genes and their networks as well as the development of potential traits for crop improvement are discussed. The panomics platform allows for the integration of complex omics to construct models that can be used to predict complex traits. Systems biology integration with multi-omics datasets can enhance our understanding of molecular regulator networks for crop improvement. In this context, we suggest the integration of entire omics by employing the "phenotype to genotype" and "genotype to phenotype" concept. Hence, top-down (phenotype to genotype) and bottom-up (genotype to phenotype) model through integration of multi-omics with systems biology may be beneficial for crop breeding improvement under conditions of environmental stresses.

Chromosome-scale genome assembly of areca palm (Areca catechu).

Areca palm (Areca catechu L.; family Arecaceae) is an important tropical medicinal crop and is also used for masticatory and religious purposes in Asia. Improvements to areca properties made by traditional breeding tools have been very slow, and further advances in its cultivation and practical use require genomic information, which is still unavailable. Here, we present a chromosome-scale reference genome assembly for areca by combining Illumina and PacBio data with Hi-C mapping technologies, covering the predicted A. catechu genome length (2.59 Gb, variety "Reyan#1") to an estimated 240× read depth. The assembly was 2.51 Gb in length with a scaffold N50 of 1.7Mb. The scaffolds were then further assembled into 16 pseudochromosomes, with an N50 of 172 Mb. Transposable elements comprised 80.37% of the areca genome, and 68.68% of them were long-terminal repeat retrotransposon elements. The areca palm genome was predicted to harbour 31,571 protein-coding genes and overall, 92.92% of genes were functionally annotated, including enriched and expanded families of genes responsible for biosynthesis of flavonoid, anthocyanin, monoterpenoid and their derivatives. Comparative analyses indicated that A. catechu probably diverged from its close relatives Elaeis guineensis and Cocos nucifera approximately 50.3 million years ago (Ma). Two whole genome duplication events in areca palm were found to be shared by palms and monocots, respectively. This genome assembly and associated resources represents an important addition to the palm genomics community and will be a valuable resource that will facilitate areca palm breeding and improve our understanding of areca palm biology and evolution.

Genome-wide identification and expression analysis of detoxification efflux carriers (DTX) genes family under abiotic stresses in flax.

The detoxification efflux carriers (DTX)/multidrug and toxic compound extrusion (MATE) transporters encompass an ancient gene family of secondary transporters involved in the process of plant detoxification. A genome-wide analysis of these transporters was carried out in order to better understand the transport of secondary metabolites in flaxseed genome (Linum usitassimum). A total of 73 genes coding for DTX/MATE transporters were identified. Gene structure, protein domain and motif organization were found to be notably conserved over the distinct phylogenetic groups, showing the evolutionary significant role of each class. Gene ontology (GO) annotation revealed a link to transporter activities, response to stimulus and localizations. The presence of various hormone and stress-responsive cis-regulatory elements in promoter regions could be directly correlated with the alteration of their transcripts. Tertiary structure showed conservation for pore size and constrains in the pore, which indicate their involvement in the exclusion of toxic substances from the cell. MicroRNA target analysis revealed that LuDTXs genes were targeted by different classes of miRNA families. Twelve LuDTX genes were chosen for further quantitative real-time polymerase chain reaction analysis in response to cold, salinity and cadmium stress at 0, 6, 12 and 24 hours after treatment. Altogether, the identified members of the DTX gene family, their expression profile, phylogenetic and miRNAs analysis might provide opportunities for future functional validation of this important gene family in flax.

iTRAQ-based comparative proteomic analysis of two coconut varieties reveals aromatic coconut cold-sensitive in response to low temperature.

Coconut (Cocos nucifera L.) is an important economic fruit and oil crop largely cultivated in humid and sub-humid tropical coastal zones worldwide. To date proteomic profile analysis of coconut under cold stress yet not been conducted. In order to understand the cold stress tolerance in coconut, the iTRAQ approach was employed to dissect proteomic response of two coconut varieties Hainan Tall, BenDi (BD) and Aromatic coconut, XiangShui (XS) under cold stress. Under cold treatment at (8 °C) for 2 days, 193 up and 134 down-regulated in BD (Cn-DB-0_VS_Cn-DB-2) and 140 up and 155 down-regulated DEPs in XS (Cn-XS-0_VS_Cn-XS-2) were identified. The 5 days post cold treatment also identified increased abundance of up-regulated proteins in BD compared to XS. The 5 days post treatment (dpt) depicted 172-up/127-down and 108-up/134-down accumulated proteins for BD (Cn-DB-0_VS_Cn-DB-5) and XS (Cn-XS-0_VS_Cn-XS-5) respectively. A total of 22, 12 and 14 DEP categories were enriched in biological process, cellular component and molecular function respectively in Gene Ontology (GO) analysis of two coconut varieties. Metabolic and biosynthesis of secondary metabolites pathways were highly enriched in KEGG pathway analysis of DEPs between two varieties. Twenty-two different functional classes revealed differentially expressed proteins in two varieties. Among those, four major categories involved in metabolism, stress response, photosynthesis and respiration related DEPs increased abundance in two varieties. However, general function perdition only (GFPO) and stress-responsive proteins were greatly up-regulated in BD than XS. Increased abundance of stress response related proteins up-regulation under cold stress suggested that BD is cold-tolerant variety. Collectively, iTRAQ-based coconut leaf proteomic analysis showed that XS (aromatic) coconut variety is cold-sensitive compared to BD (Hainan Tall) variety. This study provided a basis for further functional analyses to understand the molecular mechanisms of tropical crops adapting to cold stress. SIGNIFICANCE: Leaf proteomic approach determines the role of differentially expressed proteins (DEPs) under cold stress in crops. However, cold stress could damage the coconut fruit lead to decrease in crop yield during winter in China. Here, we report the first ever iTRAQ-based proteomic analysis of two coconut varieties in response to cold stress. The study identified the proteins involved in biosynthesis of secondary metabolites, photosynthesis, respiration, biotic and abiotic stresses under cold stress in two coconut varieties. Moreover, the increased abundance of stress-responsive and general function proteins in BD under cold stress suggested that Hainan Tall is cold-tolerant compared to aromatic coconut variety. Inhibition abundance of photosynthesis related proteins may reduce photodamage owing to the over energized state of thylakoid membrane lead to ROS generation during oxidative stress. This could be the reason for adaption of BD to low temperature stress. Nonetheless, further research may insight the mechanism involved in cold tolerance/sensitive in coconut in response to low temperature.

Phylogeny and evolution of plant cyclic nucleotide-gated ion channel (CNGC) gene family and functional analyses of tomato CNGCs.

Cyclic nucleotide-gated ion channels (CNGCs) are calcium-permeable channels that are involved in various biological functions. Nevertheless, phylogeny and function of plant CNGCs are not well understood. In this study, 333 CNGC genes from 15 plant species were identified using comprehensive bioinformatics approaches. Extensive bioinformatics analyses demonstrated that CNGCs of Group IVa were distinct to those of other groups in gene structure and amino acid sequence of cyclic nucleotide-binding domain. A CNGC-specific motif that recognizes all identified plant CNGCs was generated. Phylogenetic analysis indicated that CNGC proteins of flowering plant species formed five groups. However, CNGCs of the non-vascular plant Physcomitrella patens clustered only in two groups (IVa and IVb), while those of the vascular non-flowering plant Selaginella moellendorffii gathered in four (IVa, IVb, I and II). These data suggest that Group IV CNGCs are most ancient and Group III CNGCs are most recently evolved in flowering plants. Furthermore, silencing analyses revealed that a set of CNGC genes might be involved in disease resistance and abiotic stress responses in tomato and function of SlCNGCs does not correlate with the group that they are belonging to. Our results indicate that Group IVa CNGCs are structurally but not functionally unique among plant CNGCs.