The central role of GmGLP20.4 in root architecture modifications of soybean under low-nitrogen stress

Wang, Wei; Li, Jiajia; Nadeem, Muhammad Azhar; Wang, Jianxin; Ru, Huang; Qian, Liying; Fan, Wen-qiao; Zheng, Haowei; Liu, Yan; Wang, Xiaobo

doi:10.1007/s00122-022-04123-x

Cited by 7 publications

(3 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the Light Response elements, the number of Box 4 and G-box are the largest, followed by the GT1-motif element. It has been demonstrated that G-box in salt mustard participates in the salt stress response [ 33 ], and GT1-motif participates in nitrogen regulation in soybean [ 34 ]. In the Plant Hormone group, the number of ABREs, CGTCA-motifs, and TGACG-motifs are the largest.…”

Section: Resultsmentioning

confidence: 99%

Genome-Wide Identification and Analysis of Stress Response of Trehalose-6-Phosphate Synthase and Trehalose-6-Phosphate Phosphatase Genes in Quinoa

Wang

Huang

et al. 2023

IJMS

View full text Add to dashboard Cite

Saline-alkali stress seriously affects the yield and quality of crops, threatening food security and ecological security. Improving saline-alkali land and increasing effective cultivated land are conducive to sustainable agricultural development. Trehalose, a nonreducing disaccharide, is closely related to plant growth and development and stress response. Trehalose 6-phosphate synthase (TPS) and trehalose-6-phosphate phosphatase (TPP) are key enzymes catalyzing trehalose biosynthesis. To elucidate the effects of long-term saline-alkali stress on trehalose synthesis and metabolism, we conducted an integrated transcriptome and metabolome analysis. As a result, 13 TPS and 11 TPP genes were identified in quinoa (Chenopodium quinoa Willd.) and were named CqTPS1-13 and CqTPP1-11 according to the order of their Gene IDs. Through phylogenetic analysis, the CqTPS family is divided into two classes, and the CqTPP family is divided into three classes. Analyses of physicochemical properties, gene structures, conservative domains and motifs in the proteins, and cis-regulatory elements, as well as evolutionary relationships, indicate that the TPS and TPP family characteristics are highly conserved in quinoa. Transcriptome and metabolome analyses of the sucrose and starch metabolism pathway in leaves undergoing saline-alkali stress indicate that CqTPP and Class II CqTPS genes are involved in the stress response. Moreover, the accumulation of some metabolites and the expression of many regulatory genes in the trehalose biosynthesis pathway changed significantly, suggesting the metabolic process is important for the saline-alkali stress response in quinoa.

show abstract

Section: Resultsmentioning

confidence: 99%

Genome-Wide Identification and Analysis of Stress Response of Trehalose-6-Phosphate Synthase and Trehalose-6-Phosphate Phosphatase Genes in Quinoa

Wang

Huang

et al. 2023

IJMS

View full text Add to dashboard Cite

show abstract

“…In general, plant gene expression is unavoidably affected by a variety of environmental stressors during its growth and development [ 59 , 60 ]. When N availability fluctuates, plants take a number of steps to cope with the new environment [ 25 , 61 ].…”

Section: Discussionmentioning

confidence: 99%

Transcriptome Profiling and Chlorophyll Metabolic Pathway Analysis Reveal the Response of Nitraria tangutorum to Increased Nitrogen

Liu

Duan

Chen

et al. 2023

Plants

View full text Add to dashboard Cite

To identify genes that respond to increased nitrogen and assess the involvement of the chlorophyll metabolic pathway and associated regulatory mechanisms in these responses, Nitraria tangutorum seedlings were subjected to four nitrogen concentrations (N0, N6, N36, and N60: 0, 6, 36, and 60 mmol·L−1 nitrogen, respectively). The N. tangutorum seedling leaf transcriptome was analyzed by high-throughput sequencing (Illumina HiSeq 4000), and 332,420 transcripts and 276,423 unigenes were identified. The numbers of differentially expressed genes (DEGs) were 4052 in N0 vs. N6, 6181 in N0 vs. N36, and 3937 in N0 vs. N60. Comparing N0 and N6, N0 and N36, and N0 and N60, we found 1101, 2222, and 1234 annotated DEGs in 113, 121, and 114 metabolic pathways, respectively, classified in the Kyoto Encyclopedia of Genes and Genomes database. Metabolic pathways with considerable accumulation were involved mainly in anthocyanin biosynthesis, carotenoid biosynthesis, porphyrin and chlorophyll metabolism, flavonoid biosynthesis, and amino acid metabolism. N36 increased δ-amino levulinic acid synthesis and upregulated expression of the magnesium chelatase H subunit, which promoted chlorophyll a synthesis. Hence, N36 stimulated chlorophyll synthesis rather than heme synthesis. These findings enrich our understanding of the N. tangutorum transcriptome and help us to research desert xerophytes’ responses to increased nitrogen in the future.

show abstract

“…Similar to P deficiency strategies, improving root architecture is also an effective way to increase N uptake. Recently, GLP20.4 (encoding a germin‐like protein) was identified as a candidate gene to improve N‐use efficiency through promoting lateral root development in soybean (Wang et al, 2022b). Amino acid transport is one of the major source‐to‐sink N translocation pathways in most plant species.…”

Section: Adaptative Strategies To Cope With Soil Nutrient Deficiencymentioning

confidence: 99%

Understandings and future challenges in soybean functional genomics and molecular breeding

Fang

Kong

et al. 2023

JIPB

View full text Add to dashboard Cite

Soybean (Glycine max) is a major source of plant protein and oil. Soybean breeding has benefited from advances in functional genomics. In particular, the release of soybean reference genomes has advanced our understanding of soybean adaptation to soil nutrient deficiencies, the molecular mechanism of symbiotic nitrogen (N) fixation, biotic and abiotic stress tolerance, and the roles of flowering time in regional adaptation, plant architecture, and seed yield and quality. Nevertheless, many challenges remain for soybean functional genomics and molecular breeding, mainly related to improving grain yield through high‐density planting, maize–soybean intercropping, taking advantage of wild resources, utilization of heterosis, genomic prediction and selection breeding, and precise breeding through genome editing. This review summarizes the current progress in soybean functional genomics and directs future challenges for molecular breeding of soybean.

show abstract

The central role of GmGLP20.4 in root architecture modifications of soybean under low-nitrogen stress

Cited by 7 publications

References 41 publications

Genome-Wide Identification and Analysis of Stress Response of Trehalose-6-Phosphate Synthase and Trehalose-6-Phosphate Phosphatase Genes in Quinoa

Genome-Wide Identification and Analysis of Stress Response of Trehalose-6-Phosphate Synthase and Trehalose-6-Phosphate Phosphatase Genes in Quinoa

Transcriptome Profiling and Chlorophyll Metabolic Pathway Analysis Reveal the Response of Nitraria tangutorum to Increased Nitrogen

Understandings and future challenges in soybean functional genomics and molecular breeding

Contact Info

Product

Resources

About