Results 121 to 130 of about 5,828,877 (254)

Variance components, phenotypic means (and sample sizes (n) used in evaluating six morphological traits in Savannah Sparrows from the Champlain Valley of Vermont, 2002–2014 (V_P = Phenotypic variance =, V_A = additive genetic variance =, and V_R = residual variance).

, 2019
Variance components, phenotypic means (and sample sizes (n) used in evaluating six morphological traits in Savannah Sparrows from the Champlain Valley of Vermont, 2002–2014 (VP = Phenotypic variance =, VA = additive genetic variance =, and VR = residual ...
Steven E. Travis (4814637), Jenna A. Cava (6204488), Noah G. Perlut (2904344)   +2 more
core   +1 more source

Genetic and yield analysis of F1 and F2 populations of improved soybean varieties

Crop Breeding and Applied Biotechnology
This study aimed to evaluate the General Combining Ability (GCA) and Specific Combining Ability (SCA) of soybean germplasm adapted to tropical regions.
José Israel López Rodríguez, Andrés Antonio Monge Vargas, Oswalt R. Jiménez Caldera, Álvaro Azofeifa Delgado, Luis Barboza-Barquero   +4 more
doaj  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Relationship between gene actions and variance components.

, 2016
(a) Ideally, the variance generated by each type of gene actions is mutually exclusive therefore variance components provide a measure of relative importance of gene actions. (b) In the classical VA + VD + VI variance partition, additive genetic variance
Wen Huang (186929), Trudy F. C. Mackay (120308)   +1 more
core   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Variance components for the J-MICC data.

, 2012
The total genetic variation is partitioned into variations between two subpopulations (“Among subpopulations”), among individuals within each subpopulation (“Among individuals within subpopulations”) and within individuals.
Mikako Horita (173986), Keitaro Mastuo (174002), Hirohisa Kishino (25350), Keizo Ohnaka (118249), Takeshi Nishiyama (173954), Sadao Suzuki (173960), Naoyuki Takashima (173999), Kenji Wakai (174009), Nobuyuki Hamajima (22972), Yin Guang (174005), Hideo Tanaka (42339), Hirokazu Uemura (173981), Hideshi Niimura (173975), Ryosuke Ando (173968), Nagato Kuriyama (173993), Haruo Mikami (173995)   +15 more
core   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Empirical Best Linear Unbiased Prediction for Out of Sample Areas

, 2005
Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random ...
Saei, Ayoub, Chambers, Ray
core   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source