olyploidy or whole-genome duplication provides genomic opportunities for evolutionary innovations in many animal groups and all flowering plants 1-5 , including most important crops such as wheat, cotton and canola or oilseed rape 6-8. The common occurrence of polyploidy may suggest its advantage and potential for selection and adaptation 2,3,9 , through rapid genetic and genomic changes as observed in newly formed Brassica napus 10 , Tragopogon miscellus 11 and polyploid wheat 12 , and/or largely epigenetic modifications as in Arabidopsis and cotton polyploids 5,13. Cotton is a powerful model for revealing genomic insights into polyploidy 3 , providing a phylogenetically defined framework of polyploidization (~1.5 million years ago (Ma)) 14 , followed by natural diversification and crop domestication 15. The evolutionary history of the polyploid cotton clade is longer than that of some other allopolyploids, such as hexaploid wheat (~8,000 years) 12 , tetraploid canola (~7,500 years) 16 and tetraploid Tragopogon (~150 years) 11. Polyploidization between an A-genome African species (Gossypium arboreum (Ga)-like) and a D-genome American species (G. raimondii (Gr)-like) in the New World created a new allotetraploid or amphidiploid (AD-genome) cotton clade (Fig. 1a) 14 , which has diversified into five polyploid lineages, G. hirsutum (Gh) (AD) 1 , G. barbadense (Gb) (AD) 2 , G. tomentosum (Gt) (AD) 3 , G. mustelinum (Gm) (AD) 4 and G. darwinii (Gd) (AD) 5. G. ekmanianum and G. stephensii are recently characterized and closely related to Gh 17. Gh and Gb were separately domesticated from perennial shrubs to become annualized Upland and Pima cottons 15. To date, global cotton production provides income for ~100 million families across ~150 countries, with an annual economic impact of ~US$500 billion worldwide 6. However, cotton supply is reduced due to aridification, climate change and pest emergence. Future improvements in cotton and sustainability will involve use of the genomic resources and gene-editing tools becoming available in many crops 9,18,19. Cotton genomes have been sequenced for the D-genome (Gr) 20 and A-genome (Ga) 21 diploids and two cultivated tetraploids 22-26. These analyses have shown structural, genetic and gene expression variation related to fiber traits and stress responses in cultivated

The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30–60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.

Iγ may provide a useful way of indirectly assessing operation of activated motor neuronal circuits. It could be applied to diagnosis of motor area pathologies and as follow up in rehabilitation processes. Likewise, Iγ could enable the assessment of motor capacity, physical training and manual laterality in sport medicine.

For a comparison of amplitude data between groups of patients, the logSNR or SNR methods are preferred because of the smaller inter-subject variability. LogSNR or peak-to-peak methods have lower intra-subject variability, so are recommended for comparing an individual mfVEP to previous published normative data. This study establishes that the choice of mfVEP data analysis method can be used to decrease variability of the mfVEP results.

Upland cotton (Gossypium hirsutum L.) growth and development during the pre-and post-flowering stages are susceptible to high temperature and drought. We report the field-based characterization of multiple morpho-physiological and reproductive stress resilience traits in 11 interspecific chromosome substitution (CS) lines isogenic to each other and the inbred G. hirsutum line TM-1. Significant genetic variability was detected (p < 0.001) in multiple traits in CS lines carrying chromosomes and chromosome segments from CS-B (G. barbadense) and CS-T (G. tomentosum). Line CS-T15sh had a positive effect on photosynthesis (13%), stomatal conductance (33%), and transpiration (24%), and a canopy 6.8 °C cooler than TM-1. The average pollen germination was approximately 8% greater among the CS-B than CS-T lines. Based on the stress response index, three CS lines are identified as heat- and drought-tolerant (CS-T07, CS-B15sh, and CS-B18). The three lines demonstrated enhanced photosynthesis (14%), stomatal conductance (29%), transpiration (13%), and pollen germination (23.6%) compared to TM-1 under field conditions, i.e., traits that would expectedly enhance performance in stressful environments. The generated phenotypic data and stress-tolerance indices on novel CS lines, along with phenotypic methods, would help in developing new cultivars with improved resilience to the effects of global warming.