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1.
J Plant Physiol ; 295: 154206, 2024 Apr.
Article En | MEDLINE | ID: mdl-38452650

Seed development, dormancy, and germination are connected with changes in metabolite levels. Not surprisingly, a complex regulatory network modulates biosynthesis and accumulation of storage products. Seed development has been studied profusely in Arabidopsis thaliana and has provided valuable insights into the genetic control of embryo development. However, not every inference applies to crop legumes, as these have been domesticated and selected for high seed yield and specific metabolic profiles and fluxes. Given its enormous economic relevance, considerable work has contributed to shed light on the mechanisms that control legume seed growth and germination. Here, we summarize recent progress in the understanding of regulatory networks that coordinate seed metabolism and development in legumes.


Arabidopsis Proteins , Arabidopsis , Fabaceae , Germination/genetics , Fabaceae/metabolism , Seeds/metabolism , Arabidopsis/genetics , Arabidopsis Proteins/metabolism , Vegetables/metabolism , Plant Dormancy , Gene Expression Regulation, Plant
2.
Curr Genet ; 68(5-6): 645-659, 2022 Dec.
Article En | MEDLINE | ID: mdl-36098767

Effectors are secreted by plant-associated microorganisms to modify the host cell physiology. As effectors, the Necrosis- and Ethylene-inducing peptide 1-like proteins (NLPs) are involded in the early phases of plant infection and may trigger host immune responses. Corynespora cassiicola is a polyphagous plant pathogen that causes target spot on many agriculturally important crops. Using genome assembly, gene prediction, and proteome annotation tools, we retrieved 135 NLP-encoding genes from proteomes of 44 isolates. We explored the evolutionary history of NLPs using Bayesian phylogeny, gene genealogies, and selection analyses. We accessed the expression profiles of the NLP genes during the early phase of C. cassiicola-soybean interaction. Three NLP putative-effector genes (Cc_NLP1.1, Cc_NLP1.2A, and Cc_NLP1.2B) were maintained in the genomes of all isolates tested. An NLP putative-non-effector gene (Cc_NLP1.3) was found in three isolates that had been originally obtained from soybean. Putative-effector NLPs were under different selective constraints: Cc_NLP1.1 was under stronger selective pressure, while Cc_NLP1.2A was under a more relaxed constraint. Meanwhile, Cc_NLP1.2B likely evolved under either positive or balancing selection. Despite highly divergent, the putative-effector NLPs maintain conserved the residues necessary to trigger plant immune responses, suggesting they are potentially functional. Only the Cc_NLP1.1 putative-effector gene was significantly expressed at the early hours of soybean colonization, while Cc_NLP1.2A and Cc_NLP1.2B showed much lower levels of gene expression.


Peptides , Proteins , Humans , Bayes Theorem , Proteins/metabolism , Ethylenes , Necrosis , Plant Diseases/genetics
3.
Int J Mol Sci ; 21(23)2020 Nov 30.
Article En | MEDLINE | ID: mdl-33266228

The ability to expand crop plantations without irrigation is a major goal to increase agriculture sustainability. To achieve this end, we need to understand the mechanisms that govern plant growth responses under drought conditions. In this study, we combined physiological, transcriptomic, and genomic data to provide a comprehensive picture of drought and recovery responses in the leaves and roots of sugarcane. Transcriptomic profiling using oligoarrays and RNA-seq identified 2898 (out of 21,902) and 46,062 (out of 373,869) transcripts as differentially expressed, respectively. Co-expression analysis revealed modules enriched in photosynthesis, small molecule metabolism, alpha-amino acid metabolism, trehalose biosynthesis, serine family amino acid metabolism, and carbohydrate transport. Together, our findings reveal that carbohydrate metabolism is coordinated with the degradation of amino acids to provide carbon skeletons to the tricarboxylic acid cycle. This coordination may help to maintain energetic balance during drought stress adaptation, facilitating recovery after the stress is alleviated. Our results shed light on candidate regulatory elements and pave the way to biotechnology strategies towards the development of drought-tolerant sugarcane plants.


Amino Acids/metabolism , Carbohydrate Metabolism , Droughts , Energy Metabolism , Saccharum/physiology , Adaptation, Physiological , Computational Biology/methods , Gene Expression Profiling , Gene Expression Regulation, Plant , Gene Regulatory Networks , Metabolic Networks and Pathways , Transcriptome
4.
Prog Biophys Mol Biol ; 146: 134-141, 2019 09.
Article En | MEDLINE | ID: mdl-30914276

Dormancy-Associated gene 1/Auxin Repressed protein (DRM1/ARP) genes are responsive to hormones involved in defense response to biotic stress, such as salicylic acid (SA) and methyl jasmonate (MeJA), as well as to hormones that regulate plant growth and development, including auxins. These characteristics suggest that this gene family may be an important link between the response to pathogens and plant growth and development. In this investigation, the DRM1/ARP genes were identified in the genome of four legume species. The deduced proteins were separated into three distinct groups, according to their sequence conservation. The expression profile of soybean genes from each group was measured in different organs, after treatment with auxin and MeJA and in response to the nematode Meloidogyne javanica. The results demonstrated that this soybean gene family is predominantly expressed in root. The time auxin takes to alter DRM1/ARP expression suggests that these genes can be classified as a late response to auxin. Nevertheless, only the groups 1 and 3 are induced in roots infected by M. javanica and only group 3 is induced by MeJA, which indicates a high level of complexity in expression control mechanisms of DRM1/ARP family in soybean.


Gene Expression Regulation, Plant , Genomics , Glycine max/genetics , Plant Proteins/genetics , Animals , Glycine max/parasitology , Glycine max/physiology , Tylenchoidea/physiology
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