Distribution of the number of SNPs in each haplotype block along the genome.

<p>*denotes mean number of SNPs.</p

Manhattan plots of genome-wide association studies for three production traits in male Duroc pigs.

<p>The inserted quantile–quantile (Q–Q) plots show the observed versus expected log p-values.</p

IBS similarity matrix.

<p>IBS similarity matrix.</p

Distributions of SNPs after quality control and the average distance between adjacent SNPs on each chromosome.

<p>SNP, single nucleotide polymorphisms; SSC, Sus scrofa chromosome</p><p>¹The physical size is based on Sus scrofa Build 9 (<a href="http://www.ensembl.org/Sus_scrofa/Info/Index" target="_blank">http://www.ensembl.org/Sus_scrofa/Info/Index</a>)</p><p>²The linkage map is based on USDA-MARC v2 (A) (<a href="http://www.thearkdb.org/" target="_blank">http://www.thearkdb.org/</a>).</p><p>Distributions of SNPs after quality control and the average distance between adjacent SNPs on each chromosome.</p

Distribution of haplotype length along the genome.

<p>*denotes mean length.</p

Genome-wide significant SNPs and closest genes for D100 and FCR traits.

<p>SNP, single nucleotide polymorphisms; D100, days to 100 KG; FCR, feed conversion ratio; WT1, Wilms’ tumor 1; FBXO3, F-box only protein 3; DOCK7, Dedicator of cytokinesis 7; TBX15, T-box 15; IVL, involucrin; MAP2, microtubule-associated protein 2</p><p>¹Sus scrofa chromosome</p><p>²Derived from the current porcine genome sequence assembly (Sscrofa10.2) (<a href="http://www.ensembl.org/Sus_scrofa/Info/Index" target="_blank">http://www.ensembl.org/Sus_scrofa/Info/Index</a>)</p><p>+/-: The SNP located in the upstream/downstream of the nearest gene; NA: not assigned.</p><p>Genome-wide significant SNPs and closest genes for D100 and FCR traits.</p

Haplotype blocks for significant SNPs.

<p>The black line indicated the identified blocks. 6A: A haplotype block composed of suggestive D100 SNPs located in SSC8; 6B: A haplotype block composed of suggestive FCR SNPs located in SSC15; 6C: A haplotype block composed of suggestive FCR SNPs located in SSC16; 6D: A haplotype block composed of suggestive ADG SNPs located in SSC10.</p

Robust Piezoelectric Biomolecular Membranes from Eggshell Protein for Wearable Sensors

Flexible and wearable devices are drawing increasing attention due to their promising applications in energy harvesting and sensing. However, the application of wearable devices still faces great challenges, such as flexibility, repeatability, and biodegradability. Biopiezoelectric materials have been regarded as favorable energy-harvesting sources due to their nontoxicity and biocompatibility. Here, a wearable and biodegradable sensor is proposed to monitor human activities. The proposed sensor is fabricated via a low-cost, facile, and scalable electrospinning technology from nanofibers composed of eggshell membranes mixed with polyethylene oxide. It is shown that the sensor exhibits excellent flexibility, outstanding degradability, and mechanical stability over 3000 cycles under periodic stimulation. The device displays multiple potential applications, including the recognition of different objects, human motion monitoring, and active voice recognition. Finally, it is shown that the composite nanofiber membrane has good degradability and breathability. With excellent sensing performance, environmental friendliness, and ease of processing, the eggshell membrane-based sensor could be a promising candidate for greener and more environmentally friendly devices for application in implantable and wearable electronics

Robust Piezoelectric Biomolecular Membranes from Eggshell Protein for Wearable Sensors

Flexible and wearable devices are drawing increasing attention due to their promising applications in energy harvesting and sensing. However, the application of wearable devices still faces great challenges, such as flexibility, repeatability, and biodegradability. Biopiezoelectric materials have been regarded as favorable energy-harvesting sources due to their nontoxicity and biocompatibility. Here, a wearable and biodegradable sensor is proposed to monitor human activities. The proposed sensor is fabricated via a low-cost, facile, and scalable electrospinning technology from nanofibers composed of eggshell membranes mixed with polyethylene oxide. It is shown that the sensor exhibits excellent flexibility, outstanding degradability, and mechanical stability over 3000 cycles under periodic stimulation. The device displays multiple potential applications, including the recognition of different objects, human motion monitoring, and active voice recognition. Finally, it is shown that the composite nanofiber membrane has good degradability and breathability. With excellent sensing performance, environmental friendliness, and ease of processing, the eggshell membrane-based sensor could be a promising candidate for greener and more environmentally friendly devices for application in implantable and wearable electronics

Robust Piezoelectric Biomolecular Membranes from Eggshell Protein for Wearable Sensors

Flexible and wearable devices are drawing increasing attention due to their promising applications in energy harvesting and sensing. However, the application of wearable devices still faces great challenges, such as flexibility, repeatability, and biodegradability. Biopiezoelectric materials have been regarded as favorable energy-harvesting sources due to their nontoxicity and biocompatibility. Here, a wearable and biodegradable sensor is proposed to monitor human activities. The proposed sensor is fabricated via a low-cost, facile, and scalable electrospinning technology from nanofibers composed of eggshell membranes mixed with polyethylene oxide. It is shown that the sensor exhibits excellent flexibility, outstanding degradability, and mechanical stability over 3000 cycles under periodic stimulation. The device displays multiple potential applications, including the recognition of different objects, human motion monitoring, and active voice recognition. Finally, it is shown that the composite nanofiber membrane has good degradability and breathability. With excellent sensing performance, environmental friendliness, and ease of processing, the eggshell membrane-based sensor could be a promising candidate for greener and more environmentally friendly devices for application in implantable and wearable electronics