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Institution

Mississippi State University

EducationStarkville, Mississippi, United States
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.


Papers
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Journal ArticleDOI
TL;DR: It is shown that variation around colour pattern genes is highly modular, with narrow genomic intervals associated with specific differences in colour and pattern, and provides a flexible mechanism for rapid morphological diversification.
Abstract: Identifying the genomic changes that control morphological variation and understanding how they generate diversity is a major goal of evolutionary biology. In Heliconius butterflies, a small number of genes control the development of diverse wing color patterns. Here, we used full genome sequencing of individuals across the Heliconius erato radiation and closely related species to characterize genomic variation associated with wing pattern diversity. We show that variation around color pattern genes is highly modular, with narrow genomic intervals associated with specific differences in color and pattern. This modular architecture explains the diversity of color patterns and provides a flexible mechanism for rapid morphological diversification.

195 citations

Journal ArticleDOI
TL;DR: The use of the multiplex PCR targeting inlA, inlC and inlJ genes facilitates simultaneous confirmation of L. monocytogenes species identity and virulence.

195 citations

Journal ArticleDOI
TL;DR: Significant differences were found between the nontraditional and traditional students for events in the following categories: academics, peer and social relations, family and network, autonomy and responsibility, and intimacy.
Abstract: Perceived stress and stressors of nontraditional (returning-adult) and traditional college students were compared. Forty-seven nontraditional students 24-54 years old and 47 traditional students, matched for demographics, completed the Adolescent Perceived Events Scale (Compas, Davis, Forsythe, & Wagner, 1987) for college students. They rated 210 life events according to the desirability, impact, and frequency of the events. Significant differences were found between the nontraditional and traditional students for events in the following categories: academics, peer and social relations, family and network, autonomy and responsibility, and intimacy. Nontraditional students enjoyed going to classes and doing homework more, whereas traditional students worried more about school performance. Peer events, including social activities, had much more impact on traditional students, whereas nontraditional students reported much more responsibility in the home. The results suggest that there are significant differences between the groups in their perceptions of stressors.

195 citations

Journal ArticleDOI
TL;DR: Sequencing and genomic diversification of five allopolyploid cotton species provide insights into polyploid genome evolution and epigenetic landscapes for cotton improvement, and will empower efforts to manipulate genetic recombination and modify epigenetics landscapes and target genes for crop improvement.
Abstract: Polyploidy is an evolutionary innovation for many animals and all flowering plants, but its impact on selection and domestication remains elusive. Here we analyze genome evolution and diversification for all five allopolyploid cotton species, including economically important Upland and Pima cottons. Although these polyploid genomes are conserved in gene content and synteny, they have diversified by subgenomic transposon exchanges that equilibrate genome size, evolutionary rate heterogeneities and positive selection between homoeologs within and among lineages. These differential evolutionary trajectories are accompanied by gene-family diversification and homoeolog expression divergence among polyploid lineages. Selection and domestication drive parallel gene expression similarities in fibers of two cultivated cottons, involving coexpression networks and N6-methyladenosine RNA modifications. Furthermore, polyploidy induces recombination suppression, which correlates with altered epigenetic landscapes and can be overcome by wild introgression. These genomic insights will empower efforts to manipulate genetic recombination and modify epigenetic landscapes and target genes for crop improvement.

195 citations

Journal ArticleDOI
TL;DR: In this article, the energy minimum structure and the transition states for internal rotation and inversion of the amino group were carried out at the SCF level using several different basis sets, and the effect of electron correlation was estimated by single point MP4(SDQ) calculations using the 6-311G∗∗ basis set.
Abstract: The structure of aniline has been studied by ab initio calculations. Complete geometry optimization of (1) the energy minimum structure and the transition states for (2) internal rotation and (3) inversion of the amino group were carried out at the SCF level using several different basis sets. For these three stationary geometries vibrational frequencies were calculated at the SCF/6-31G∗∗ level. The effect of electron correlation was estimated by single point MP4(SDQ) calculations using the 6-311G∗∗ basis set. To satisfactorily describe the conformation and orientation of the amino group a fully polarized (6-31G∗∗) basis set is required. It is predicted that the aniline molecule has a pyramidal amino group with an angle between the C-N bond and the NH2 plane of 42.3°. The angle between the C-N bond and the plane of the benzene ring is 2.0°. The barriers to inversion and internal rotation of the amino group are estimated to be 1.7 and 3,7 kcal mol− respectively.

194 citations


Authors

Showing all 14277 results

NameH-indexPapersCitations
Naomi J. Halas14043582040
Bin Liu138218187085
Shuai Liu129109580823
Vijay P. Singh106169955831
Liangpei Zhang9783935163
K. L. Dooley9532063579
Feng Chen95213853881
Marco Cavaglia9337260157
Tuan Vo-Dinh8669824690
Nicholas H. Barton8426732707
S. Kandhasamy8123550363
Michael S. Sacks8038620510
Dinesh Mohan7928335775
James Mallet7820921349
George D. Kuh7724830346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022247
20211,725
20201,620
20191,465
20181,467