The glycoside hydrolase 13 (GH13) family is crucial for catalyzing α-glucoside linkages, and plays a key role in plant growth, development, and stress responses. Despite its significance, its role in plants remains understudied. This study targeted four GH13 subgroups in wheat, identifying 66 GH13 members from the latest wheat database (IWGSC RefSeq v2.1), including 36 α-amylase (AMY) members, 18 1,4-α-glucan-branching enzyme (SBE) members, 9 isoamylase (ISA) members, and 3 pullulanase (PU) members. Chromosomal distribution reveals a concentration of wheat group 7 chromosomes. Phylogenetic analysis underscores significant evolutionary distance variations among the subgroups, with distinct molecular structures. Replication events shaped subgroup evolution, particularly in regard to AMY members. Subcellular localization indicates AMY member predominance in extracellular and chloroplast regions, while others localize solely in chloroplasts, confirmed by the heterologous expression of and in tobacco. Moreover, 3D structural analysis shows the consistency of GH13 across species. Promoter cis-acting elements are suggested to be involved in growth, stress tolerance, and starch metabolism signaling. The RNA-seq data revealed expression changes under drought and submergence stress, and significant expression variation was observed between strong and weak gluten varieties during seed germination using quantitative real-time PCR (qRT-PCR), correlating with seed starch content. These findings demonstrate the pivotal role of GH13 family gene expression in wheat germination, concerning variety preference and environmental stress. Overall, this study advances the understanding of wheat GH13 subgroups, laying the groundwork for further functional studies.
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http://dx.doi.org/10.3390/ijms25063399 | DOI Listing |
J Biol Chem
December 2024
Key Laboratory of Biofuels, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China.
2-O-α-Glucosylglycerol (GG) is a natural heteroside synthesized by many cyanobacteria and a few heterotrophic bacteria under salt stress conditions. Bacteria produce GG in response to stimuli and degrade it once the stimulus diminishes. Heterotrophic bacteria utilize GG phosphorylase (GGP), a member of the GH13_18 family, via a two-step process consisting of phosphorolysis and hydrolysis for GG catabolism.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Food Science and Biotechnology, and Carbohydrate Bioproduct Research Center, Sejong University, Seoul 05006, Republic of Korea. Electronic address:
BMC Microbiol
November 2024
Zhengzhou Tobacco Research Institute of CNTC, Henan Province, Zhengzhou, 450001, PR China.
Enterobacter ludwigii has been proven by numerous studies to be an effective plant growth promoter. Enterobacter ludwigii T977 was isolated from leaves of Nicotiana tabacum L. Yunyan 97 which showing high starch degrading ability.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Bioproduct Engineering, Engineering and Technology institute Groningen, University of Groningen, Nijenborgh 4, 9747 AG Groningen, the Netherlands; Chemical Engineering Department, Engineering and Technology Institute Groningen, University of Groningen, Nijenborgh 3, 9747 AG Groningen, the Netherlands. Electronic address:
Glycogen branching enzymes (GBEs; EC 2.4.1.
View Article and Find Full Text PDFMicrobiome
November 2024
College of Animal Science and Technology, Northwest A&F University, 22 Nt, Xinong Road, Yangling, Shaanxi, China.
Background: Despite the growing number of studies investigating the connection between host genetics and the rumen microbiota, there remains a dearth of systematic research exploring the composition, function, and metabolic traits of highly heritable rumen microbiota influenced by host genetics. Furthermore, the impact of these highly heritable subsets on lactation performance in cows remains unknown. To address this gap, we collected and analyzed whole-genome resequencing data, rumen metagenomes, rumen metabolomes and short-chain fatty acids (SCFAs) content, and lactation performance phenotypes from a cohort of 304 dairy cows.
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