Identification and Characterization of the Growth-Regulating Factors-Interacting Factors in Cotton

Hu, Daowu; Ge, Yuting; Jia, Yulin; He, Shoupu; Geng, Xianguo; Wang, Liru; Pan, Zhaoe; Iqbal, Zubair; Mahmood, Tahir; Li, Hongge; Chen, Baojun; Wang, Xiaoyang; Pang, Baoyin; Du, Xiongming

doi:10.3389/fgene.2022.851343

Cited by 2 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both GRF and GIF genes have important regulatory roles in many plant tissues and organs [ 2 , 3 , 5 , 6 , 15 – 18 , 20 , 23 – 25 ]. Similarly, we found that GRF and GIF genes are highly expressed in the tissues, organs, and developmental stages of most species.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Genome-wide molecular evolution analysis of the GRF and GIF gene families in Plantae (Archaeplastida)

Chen,

Zhang,

Wang

et al. 2024

BMC Genomics

View full text Add to dashboard Cite

Background Plant growth-regulating factors (GRFs) and GRF-interacting factors (GIFs) interact with each other and collectively have important regulatory roles in plant growth, development, and stress responses. Therefore, it is of great significance to explore the systematic evolution of GRF and GIF gene families. However, our knowledge and understanding of the role of GRF and GIF genes during plant evolution has been fragmentary. Results In this study, a large number of genomic and transcriptomic datasets of algae, mosses, ferns, gymnosperms and angiosperms were used to systematically analyze the evolution of GRF and GIF genes during the evolution of plants. The results showed that GRF gene first appeared in the charophyte Klebsormidium nitens, whereas the GIF genes originated relatively early, and these two gene families were mainly expanded by segmental duplication events after plant terrestrialization. During the process of evolution, the protein sequences and functions of GRF and GIF family genes are relatively conservative. As cooperative partner, GRF and GIF genes contain the similar types of cis-acting elements in their promoter regions, which enables them to have similar transcriptional response patterns, and both show higher levels of expression in reproductive organs and tissues and organs with strong capacity for cell division. Based on protein–protein interaction analysis and verification, we found that the GRF–GIF protein partnership began to be established in pteridophytes and is highly conserved across different terrestrial plants. Conclusions These results provide a foundation for further exploration of the molecular evolution and biological functions of GRF and GIF genes.

show abstract

Section: Discussionmentioning

confidence: 99%

“…GIF2 and GIF3 genes in A. thaliana can promote cell proliferation and affect leaf size [ 24 ]. Additionally, GIF genes play important roles in internode growth [ 23 ], lateral root development [ 25 ], and response to heavy metal stress [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Genome-wide molecular evolution analysis of the GRF and GIF gene families in Plantae (Archaeplastida)

Chen,

Zhang,

Wang

et al. 2024

BMC Genomics

View full text Add to dashboard Cite

show abstract

“…A comprehensive evaluation of the cold tolerance indices of all the tested soybean materials was conducted using the fuzzy membership function method (Luo QL et al 2023). Five cold-tolerant genotypes and ve coldsensitive genotypes were selected, and total RNA was extracted from soybean seeds subjected to 3°C lowtemperature treatment during germination for 3 days for RNA-seq analysis.…”

Section: Rna Sequencingmentioning

confidence: 99%

Cold Tolerance SNPs and Candidate Gene Mining in the Soybean Germination Stage Based on Genome-Wide Association Analysis

Chen,

Liu,

Han

et al. 2024

Preprint

View full text Add to dashboard Cite

Low temperature is a key factor affecting the geographical distribution, growth, development, and yield of soybeans. Exposing soybean seeds to low-temperature stress during the germination stage can lead to a substantial reduction in productivity. At present, there is limited information on the genetic mechanisms associated with cold tolerance during the soybean germination stage. In this study, we assessed the germination phenotype of a population of 260 soybean accessions under low-temperature stress (3°C). Using a mixed linear model, we performed a genome-wide association analysis (GWAS) of 30,799 single nucleotide polymorphism (SNP) markers and identified a total of 71 SNPs associated with cold tolerance. SNP (BARC_2.01 Chr18_53718636_A_G) was associated with two traits: (1) the ratio of germination potential under low-temperature stress to germination potential under normal conditions (CT-GP) and (2) the germination potential at 3°C. Within the linked genetic region of this marker, there were six genes, including Glyma.18g250900 and Glyma.18g251400, which exhibited differential expression levels in two groups of materials with different cold tolerances. These two genes had 4 and 3 haplotypes, respectively. Soybean germplasms harboring Glyma.18g250900-Hap3, Glyma.18g251400-Hap2, and Glyma.18g251400-Hap3 exhibited strong cold tolerance during the germination stage. Glyma.18g250900 and Glyma.18g251400 were predicted to be potential candidate genes involved in the response of soybean germination to low-temperature stress. The SNPs and candidate genes identified in this study have important implications for marker-assisted selection and gene editing in cold-tolerant soybean breeding and provide a valuable reference for understanding the underlying genetic mechanisms of cold tolerance in soybean germination.

show abstract

Identification and Characterization of the Growth-Regulating Factors-Interacting Factors in Cotton

Cited by 2 publications

References 31 publications

Genome-wide molecular evolution analysis of the GRF and GIF gene families in Plantae (Archaeplastida)

Genome-wide molecular evolution analysis of the GRF and GIF gene families in Plantae (Archaeplastida)

Cold Tolerance SNPs and Candidate Gene Mining in the Soybean Germination Stage Based on Genome-Wide Association Analysis

Contact Info

Product

Resources

About