Results 221 to 230 of about 61,299 (328)
ABSTRACT Through the isotopic composition of 211 samples of six different tissues (muscle, liver, heart, kidney, spleen, and lung) obtained from 51 Tursiops truncatus strandings over nearly a decade (2013–2022), this study evaluated the impact of environmental variations on a resident population in a coastal lagoon in the southern Gulf of Mexico ...
Karem Leonela Naranjo‐Ruiz +3 more
wiley +1 more source
Cereal Fibers and Satiety: A Systematic Review. [PDF]
Machalias A +3 more
europepmc +1 more source
Summary Beneficial, facultative endophytes help plants thrive in challenging environments by altering their host's metabolism, but how these cellular scale metabolic changes propagate to the systems biology scale is unknown. In this work, we employed a high‐resolution chemical imaging approach to map metabolic changes at the Populus trichocarpa root ...
Jayde Aufrecht +9 more
wiley +1 more source
KANN: estimation of genetic ancestry profiles by nearest neighbor regression. [PDF]
Riikonen J +3 more
europepmc +1 more source
ABSTRACT Field trials were conducted of wheat (Triticum aestivum) cv. Cadenza in which asparagine synthetase gene, TaASN2, had been knocked out, either on its own or together with a partial knockout of the related gene, TaASN1, using CRISPR/Cas9. Chemical mutagenesis (TILLING) TaASN2 nulls in the Claire background were also included.
Navneet Kaur +8 more
wiley +1 more source
From Citrus to Cymene: Understanding the Hydrothermal Conversion of Limonene
When life gives you limonene… Hydrothermal conversion and pyrolysis of limonene give two distinct sets of products, arising from differing reaction cascades. While p‐cymene dominates in the presence of water, indicative of an isomerisation/aromatisation pathway, pyrolysis favours cracking and loss of carbon affording an m‐xylene rich aromatic mix.
Jack Steel +5 more
wiley +1 more source
A Simple and Easy Method for RNA Extraction from the Cyanobacterium <i>Synechocystis</i> sp. PCC 6803. [PDF]
Majhi BK, Eaton-Rye JJ.
europepmc +1 more source
Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems
Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass prediction models using two advanced gradient‐boosted tree
Utsab Ghimire +6 more
wiley +1 more source
Rye sprout as a host for the rapid transient production of a recombinant protein using a geminivirus DNA-containing expression vector. [PDF]
Kitajima S, Morita S, Natsuhara K.
europepmc +1 more source

