Results 81 to 90 of about 667,791 (334)
Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment.
Yongce Cao+8 more
doaj +1 more source
High Sugar Induced RCC2 Lactylation Drives Breast Cancer Tumorigenicity Through Upregulating MAD2L1
This study finds that KAT2A mediates the lactylation modification of the non‐histone protein RCC2 at K124, facilitating the recruitment of free SERBP1 and aiding in the formation of the initial SERBP1‐MAD2L1 complex. SERBP1 enhances the stability of MAD2L1 mRNA and promotes cellular proliferation.
Bowen Zheng+11 more
wiley +1 more source
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications [PDF]
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean [\textit{Glycine max} L.
arxiv
Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen+7 more
wiley +1 more source
A Phase‐Separated SR Protein Reprograms Host Pre‐mRNA Splicing to Enhance Disease Susceptibility
This study identifies SR30, a splicing factor, as a negative regulator of tomato immunity. During Phytophthora infestans infection, the elevated SR30 forms nuclear condensates to suppress the alternative splicing (AS) of defense‐related genes in a phase separation manner.
Dong Yan+11 more
wiley +1 more source
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling [PDF]
Deep learning systems have become vital tools across many fields, but the increasing model sizes mean that training must be accelerated to maintain such systems' utility. Current systems like Tensorflow and MXNet focus on one specific parallelization strategy, data parallelism, which requires large training batch sizes in order to scale.
arxiv
AlphaFold‐Guided Bespoke Gene Editing Enhances Field‐Grown Soybean Oil Contents
An AlphaFold‐guided method is developed to functionally optimize soybean sugar transporters and achieve bespoke gene editing of GmSWEET10a/b to improve oil content in an elite soybean cultivar in multi‐year, multi‐site field trials. The combination of AI‐guided protein design and gene editing may unlock a huge potential to improve the genetic trait de ...
Jie Wang+22 more
wiley +1 more source
During different developmental stages of plants in natural Se–Cd coexisting soils, there is a group of rhizosphere microorganisms with highly dynamic abundance. The abundance variation of these microorganisms is strongly positively correlated with available Se and strongly negatively correlated with available Cd.
Zheng Lei+16 more
wiley +1 more source
SUBSTANTIATION OF TECHNOLOGY AND QUALITY EVALUATION OF SOYA-MUSHROOM FUNCTIONAL FOODS [PDF]
Production of foods for functional nutrition is one of the most perspective directions of development of food industry now. The goal of our research is scientific substantiation of technological approaches to obtaining combined functional foods prepared ...
Skripko O.V.+2 more
doaj
Background DNA methylation is an important epigenetic modification. It can regulate the expression of many key genes without changing the primary structure of the genomic DNA, and plays a vital role in the growth and development of the organism.
Yanwei Li+9 more
doaj +1 more source