A Multi-Omics Analysis Revealed the Diversity of the MYB Transcription Factor Family's Evolution and Drought Resistance Pathways.

The MYB transcription factor family can regulate biological processes such as ABA signal transduction to cope with drought stress, but its evolutionary mechanism and the diverse pathways of response to drought stress in different species are rarely reported. In this study, a total of 4791 MYB family members were identified in 908,757 amino acid sequences from 12 model plants or crops using bioinformatics methods. It was observed that the number of MYB family members had a linear relationship with the chromosome ploidy of species. A phylogenetic analysis showed that the MYB family members evolved in subfamily clusters. In response to drought stress, the pathways of MYB transcription factor families exhibited species-specific diversity, with closely related species demonstrating a higher resemblance. This study provides abundant references for drought resistance research and the breeding of wheat, soybean, and other plants.

Integration of mRNA and miRNA analysis reveals the molecular mechanisms of sugar beet (Beta vulgaris L.) response to salt stress.

The continuous increase of saline-alkali areas worldwide has led to the emergence of saline-alkali conditions, which are the primary abiotic stress or hindering the growth of plants. Beet is among the main sources of sugar, and its yield and sugar content are notably affected by saline-alkali stress. Despite sugar beet being known as a salt-tolerant crop, there are few studies on the mechanisms underlying its salt tolerance, and previous studies have mainly delineated the crop's response to stress induced by NaCl. Recently, advancements in miRNA-mRNA network analysis have led to an increased understanding of how plants, including sugar beet, respond to stress. In this study, seedlings of beet variety "N98122" were grown in the laboratory using hydroponics culture and were exposed to salt stress at 40 days of growth. According to the phenotypic adaptation of the seedlings' leaves from a state of turgidity to wilting and then back to turgidity before and after exposure, 18 different time points were selected to collect samples for analysis. Subsequently, based on the data of real-time quantitative PCR (qRT-PCR) of salt-responsive genes, the samples collected at the 0, 2.5, 7.5, and 16 h time points were subjected to further analysis with experimental materials. Next, mRNA-seq data led to the identification of 8455 differentially expressed mRNAs (DEMs) under exposure to salt stress. In addition, miRNA-seq based investigation retrieved 3558 miRNAs under exposure to salt stress, encompassing 887 known miRNAs belonging to 783 families and 2,671 novel miRNAs. With the integrated analysis of miRNA-mRNA network, 57 miRNA-target gene pairs were obtained, consisting of 55 DEMIs and 57 DEMs. Afterwards, we determined the pivotal involvement of aldh2b7, thic, and δ-oat genes in the response of sugar beet to the effect of salt stress. Subsequently, we identified the miRNAs novel-m035-5p and novel-m0365-5p regulating the aldh gene and miRNA novel-m0979-3p regulating the thic gene. The findings of miRNA and mRNA expression were validated by qRT-PCR.

Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines.

Due to the relatively brief domestication history of sugar beet (Beta vulgaris ssp. vulgaris), our understanding of the genomic diversity and functional genes in its cultivars is limited, resulting in slow breeding progress. To address this issue, a total of 306 germplasm materials of major cultivars and breeding lines from China, the USA, and Europe were selected for genome resequencing. We investigated population structure and genetic diversity and performed selective scanning of genomic regions, identifying six novel genes associated with important agronomic traits: the candidate genes DFAX2 and P5CS for skin roughness; the candidate genes FRO5, GL24, and PPR91 for root yield and sugar yield, and the pleiotropic candidate gene POLX for flourishing growth vigour, plant height, crown size, flesh coarseness, and sugar yield. In addition, we constructed a protein-protein interaction network map and a phenotype-gene network map, which provide valuable information for identifying and characterizing functional genes affecting agronomic traits in sugar beet. Overall, our study sheds light on the future improvement of sugar beet agronomic traits at the molecular level.

Genomic and transcriptomic-based analysis of agronomic traits in sugar beet (Beta vulgaris L.) pure line IMA1.

Sugar beet (Beta vulgaris L.) is an important sugar-producing and energy crop worldwide. The sugar beet pure line IMA1 independently bred by Chinese scientists is a standard diploid parent material that is widely used in hybrid-breeding programs. In this study, a high-quality, chromosome-level genome assembly for IMA1was conducted, and 99.1% of genome sequences were assigned to nine chromosomes. A total of 35,003 protein-coding genes were annotated, with 91.56% functionally annotated by public databases. Compared with previously released sugar beet assemblies, the new genome was larger with at least 1.6 times larger N50 size, thereby substantially improving the completeness and continuity of the sugar beet genome. A Genome-Wide Association Studies analysis identified 10 disease-resistance genes associated with three important beet diseases and five genes associated with sugar yield per hectare, which could be key targets to improve sugar productivity. Nine highly expressed genes associated with pollen fertility of sugar beet were also identified. The results of this study provide valuable information to identify and dissect functional genes affecting sugar beet agronomic traits, which can increase sugar beet production and help screen for excellent sugar beet breeding materials. In addition, information is provided that can precisely incorporate biotechnology tools into breeding efforts.

Effects of oat (Avena sativa L.) hay diet supplementation on the intestinal microbiome and metabolome of Small-tail Han sheep.

Supplementation of the sheep diet with oats (Avena sativa L.) improves animal growth and meat quality, however effects on intestinal microbes and their metabolites was not clear. This study aimed to establish the effect of dietary oat supplementation on rumen and colonic microbial abundance and explore the relationship with subsequent changes in digesta metabolites. Twenty Small-tail Han sheep were randomly assigned to a diet containing 30 g/100 g of maize straw (Control) or oat hay (Oat). After 90-days on experimental diets, rumen and colon digesta were collected and microbial diversity was determined by 16S rRNA gene Illumina NovaSeq sequencing and metabolomics was conducted using Ultra-high performance liquid chromatography Q-Exactive mass spectrometry (UHPLC-QE-MS). Compared to Control group, oat hay increased the abundance of Bacteroidetes and Fibrobacteres as well as known short-chain fatty acid (SCFA) producers Prevotellaceae, Ruminococcaceae and Fibrobacteraceae in rumen (p < 0.05). In rumen digesta, the Oat group showed had higher levels of (3Z,6Z)-3,6-nonadienal, Limonene-1,2-epoxide, P-tolualdehyde, and Salicylaldehyde compared to Control (p < 0.05) and these metabolites were positively correlated with the abundance of cecal Prevotellaceae NK3B31. In conclusion, supplementation of the sheep diet with oat hay improved desirable microbes and metabolites in the rumen, providing insight into mechanisms whereby meat quality can be improved by oat hay supplementation.

Proteomic analysis of heterosis in the leaves of sorghum-sudangrass hybrids.

Sorghum-sudangrass hybrids are widely used for forage and silage in the animal husbandry industry due to their hardiness. The heterozygous first generation of sorghum-sudangrass hybrids displays performance superior to their homozygous, parental inbred lines. In order to study the molecular details underlying its heterosis, the leaves of sorghum-sudangrass hybrids and their parents were compared using mass spectrometry-based proteomics. Results showed that among the 996 proteins that were identified, 32 proteins showed 'additive accumulation expression patterns', indicating that the protein abundance in sorghum-sudangrass hybrids showed no significant difference from the average of their parents. Additionally, 74 proteins showed 'nonadditive accumulation expression patterns' (the proteins abundance in the hybrids showed significant difference from the average of their parents). Both additive and nonadditive proteins were mainly involved in photosynthesis and carbohydrate metabolism. More upregulated additive and nonadditive proteins were in the hybrids than in their parents, suggesting that additive and nonadditive proteins are essential to the vigor of sorghum-sudangrass hybrids. The nonadditive proteins were enriched in photosynthesis, carbohydrate metabolism, and protein oligomerization, but the additive proteins were not enriched in any pathway, which indicated that the nonadditive proteins could be greater contributors to heterosis than additive proteins. Furthermore, the highly activated photosynthetic pathway in nonadditive proteins implies that photosynthesis in hybrids is heightened to assimilate more organic matter, resulting in an increased yield. Our results provide a proof-of-concept that reveals the molecular components of heterosis in sorghum-sudangrass hybrid leaves and serves as an important step for future genetic manipulation of specific proteins to improve the performance of hybrids.

[Development of EST-SSR marker and genetic diversity analysis in Sorghum bicolor×Sorghum sudanenes].

A total of 57 498 non-redundant ESTs were identified from 210 878 ESTs of Sorghum in NCBI by sequence analysis. In all, 3 338 SSRs were distributed in 3 116 ESTs with an average frequency of one SSR per 11.28 kb, which included 215 SSR motifs. Analysis of SSR motifs revealed that the trinucleotides were major motifs, accounting for 68.33%.The dinucleotides motifs accounted for 17.97%. There were 1 694 sequences from 3 338 EST-SSR sequences could be designed into primers and the proportion was 50.75%. Fourteen primers were selected to amplify EST-SSR loci with 50 collections of Sorghum bicolor × S. sudanenes, 7 collections of S. bicolor and 3 collections of S. sudanenes. Seventy-two allele variations were detected and the frequency was 5.14 gene loci per primer. The polymorphism index of each primer was in the range of 0.54-0.93. The genetic distance ranged from 0.1646 to 0.6398. This showed abundant genetic diversity in the materials. The materials were divided into 5 groups with clustering analysis of EST-SSR data. Each group included the varieties with similar parents or similar regional distribution. Meanwhile, 4 specific molecular markers were found. Primer D1763 was specific in the registered variety GB-4-2 which was the progeny of S. bicolor 314A × S. sudanenes White Skull. The marker was specific in justification of the germ difference. These results showed that the EST-SSR was an effective marker for genetic diversity analysis and specificity studies on S. bicolor × S. sudanenes.