cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7879805.v1
title: gVCF_HG00362

description: 1000 Genomes gVCF mapped to hs37d5 for HG00362. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879823.v1
title: gVCF_HG00419

description: 1000 Genomes gVCF mapped to hs37d5 for HG00419. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879790
title: gVCF_HG00409

description: 1000 Genomes gVCF mapped to hs37d5 for HG00409. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879793
title: gVCF_HG00361

description: 1000 Genomes gVCF mapped to hs37d5 for HG00361. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879796
title: Dataset for: Spatial organization of the transcriptional regulatory network of Saccharomyces cerevisiae

description: Transcriptional regulatory network (TRN) is a directed complex network composed of all regulatory interactions between transcription factors and corresponding target genes. Recently, the three-dimensional (3D) genomics studies have shown that the 3D structure of the genome makes a difference to the regulation of gene transcription, which provides us with a novel perspective. In this study, we constructed the TRN of the budding yeast Saccharomyces cerevisiae and placed it in the context of 3D genome model. We analyzed the spatial organization of the yeast TRN on four levels: global feature, central nodes, hierarchical structure and network motifs. Our results suggested that the TRN of S. cerevisiae presents an optimized structure in space to adapt to functional requirement.
DOI: 10.6084/m9.figshare.7879799.v1
title: gVCF_HG00478

description: 1000 Genomes gVCF mapped to hs37d5 for HG00478. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879802.v1
title: gVCF_HG00410

description: 1000 Genomes gVCF mapped to hs37d5 for HG00410. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879784
title: gVCF_HG00476

description: 1000 Genomes gVCF mapped to hs37d5 for HG00476. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879790.v1
title: gVCF_HG00409

description: 1000 Genomes gVCF mapped to hs37d5 for HG00409. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879793.v1
title: gVCF_HG00361

description: 1000 Genomes gVCF mapped to hs37d5 for HG00361. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879778
title: gVCF_HG00407

description: 1000 Genomes gVCF mapped to hs37d5 for HG00407. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879760
title: gVCF_HG00406

description: 1000 Genomes gVCF mapped to hs37d5 for HG00406. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879763
title: gVCF_HG00358

description: 1000 Genomes gVCF mapped to hs37d5 for HG00358. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879784.v1
title: gVCF_HG00476

description: 1000 Genomes gVCF mapped to hs37d5 for HG00476. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879772
title: gVCF_HG00360

description: 1000 Genomes gVCF mapped to hs37d5 for HG00360. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879778.v1
title: gVCF_HG00407

description: 1000 Genomes gVCF mapped to hs37d5 for HG00407. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879754
title: gVCF_HG00475

description: 1000 Genomes gVCF mapped to hs37d5 for HG00475. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879760.v1
title: gVCF_HG00406

description: 1000 Genomes gVCF mapped to hs37d5 for HG00406. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879763.v1
title: gVCF_HG00358

description: 1000 Genomes gVCF mapped to hs37d5 for HG00358. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879772.v1
title: gVCF_HG00360

description: 1000 Genomes gVCF mapped to hs37d5 for HG00360. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879751
title: gVCF_HG00357

description: 1000 Genomes gVCF mapped to hs37d5 for HG00357. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879754.v1
title: gVCF_HG00475

description: 1000 Genomes gVCF mapped to hs37d5 for HG00475. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879730
title: gVCF_HG00404

description: 1000 Genomes gVCF mapped to hs37d5 for HG00404. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879751.v1
title: gVCF_HG00357

description: 1000 Genomes gVCF mapped to hs37d5 for HG00357. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879730.v1
title: gVCF_HG00404

description: 1000 Genomes gVCF mapped to hs37d5 for HG00404. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879724
title: gVCF_HG00356

description: 1000 Genomes gVCF mapped to hs37d5 for HG00356. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879703
title: gVCF_HG00355

description: 1000 Genomes gVCF mapped to hs37d5 for HG00355. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879706
title: gVCF_HG00403

description: 1000 Genomes gVCF mapped to hs37d5 for HG00403. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879718
title: gVCF_HG00473

description: 1000 Genomes gVCF mapped to hs37d5 for HG00473. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879688
title: Attention Capture by Emotion: The thin line between Attentional Blink and Emotion Induced Blindness

description: In this study we examined the underlying mechanisms involved in Emotion Induced Blindness.
DOI: 10.6084/m9.figshare.7879703.v1
title: gVCF_HG00355

description: 1000 Genomes gVCF mapped to hs37d5 for HG00355. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879706.v1
title: gVCF_HG00403

description: 1000 Genomes gVCF mapped to hs37d5 for HG00403. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879718.v1
title: gVCF_HG00473

description: 1000 Genomes gVCF mapped to hs37d5 for HG00473. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879724.v1
title: gVCF_HG00356

description: 1000 Genomes gVCF mapped to hs37d5 for HG00356. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879688.v1
title: Attention Capture by Emotion: The thin line between Attentional Blink and Emotion Induced Blindness

description: In this study we examined the underlying mechanisms involved in Emotion Induced Blindness.
DOI: 10.6084/m9.figshare.7879670
title: gVCF_HG00353

description: 1000 Genomes gVCF mapped to hs37d5 for HG00353. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879673
title: gVCF_HG00384

description: 1000 Genomes gVCF mapped to hs37d5 for HG00384. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879670.v1
title: gVCF_HG00353

description: 1000 Genomes gVCF mapped to hs37d5 for HG00353. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879673.v1
title: gVCF_HG00384

description: 1000 Genomes gVCF mapped to hs37d5 for HG00384. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879655
title: gVCF_HG00472

description: 1000 Genomes gVCF mapped to hs37d5 for HG00472. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879658
title: gVCF_HG00351

description: 1000 Genomes gVCF mapped to hs37d5 for HG00351. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879664
title: gVCF_HG00383

description: 1000 Genomes gVCF mapped to hs37d5 for HG00383. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879649
title: gVCF_HG00350

description: 1000 Genomes gVCF mapped to hs37d5 for HG00350. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879664.v1
title: gVCF_HG00383

description: 1000 Genomes gVCF mapped to hs37d5 for HG00383. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879649.v1
title: gVCF_HG00350

description: 1000 Genomes gVCF mapped to hs37d5 for HG00350. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879655.v1
title: gVCF_HG00472

description: 1000 Genomes gVCF mapped to hs37d5 for HG00472. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879658.v1
title: gVCF_HG00351

description: 1000 Genomes gVCF mapped to hs37d5 for HG00351. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879640
title: gVCF_HG00464

description: 1000 Genomes gVCF mapped to hs37d5 for HG00464. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879643
title: gVCF_HG00382

description: 1000 Genomes gVCF mapped to hs37d5 for HG00382. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879622
title: gVCF_HG00349

description: 1000 Genomes gVCF mapped to hs37d5 for HG00349. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879625
title: gVCF_HG00463

description: 1000 Genomes gVCF mapped to hs37d5 for HG00463. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879640.v1
title: gVCF_HG00464

description: 1000 Genomes gVCF mapped to hs37d5 for HG00464. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879607
title: gVCF_HG00380

description: 1000 Genomes gVCF mapped to hs37d5 for HG00380. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879622.v1
title: gVCF_HG00349

description: 1000 Genomes gVCF mapped to hs37d5 for HG00349. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879625.v1
title: gVCF_HG00463

description: 1000 Genomes gVCF mapped to hs37d5 for HG00463. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879643.v1
title: gVCF_HG00382

description: 1000 Genomes gVCF mapped to hs37d5 for HG00382. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879529
title: gVCF_HG00379

description: 1000 Genomes gVCF mapped to hs37d5 for HG00379. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879601
title: gVCF_HG00346

description: 1000 Genomes gVCF mapped to hs37d5 for HG00346. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879604
title: gVCF_HG00458

description: 1000 Genomes gVCF mapped to hs37d5 for HG00458. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879607.v1
title: gVCF_HG00380

description: 1000 Genomes gVCF mapped to hs37d5 for HG00380. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879619
title: gVCF_HG00381

description: 1000 Genomes gVCF mapped to hs37d5 for HG00381. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879526
title: gVCF_HG00457

description: 1000 Genomes gVCF mapped to hs37d5 for HG00457. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879529.v1
title: gVCF_HG00379

description: 1000 Genomes gVCF mapped to hs37d5 for HG00379. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879604.v1
title: gVCF_HG00458

description: 1000 Genomes gVCF mapped to hs37d5 for HG00458. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879619.v1
title: gVCF_HG00381

description: 1000 Genomes gVCF mapped to hs37d5 for HG00381. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879526.v1
title: gVCF_HG00457

description: 1000 Genomes gVCF mapped to hs37d5 for HG00457. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879472
title: gVCF_HG00378

description: 1000 Genomes gVCF mapped to hs37d5 for HG00378. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879481
title: rtdSIM model code

description: We developed and evaluated a tungro epidemiological model called <i>rtdSim</i> using historical rice tungro disease (RTD) incidence data and weather data collected in the Philippines. Intensive modeling framework for RTD epidemiology and its relationship with weather conditions aimed at predicting the potential risk of seasonal RTD epidemics by integrating seasonal forecasts and this tungro epidemiological model, rtdSIM, in the future.
DOI: 10.6084/m9.figshare.7879601.v1
title: gVCF_HG00346

description: 1000 Genomes gVCF mapped to hs37d5 for HG00346. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879439
title: gVCF_HG00343

description: 1000 Genomes gVCF mapped to hs37d5 for HG00343. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879442
title: gVCF_HG00344

description: 1000 Genomes gVCF mapped to hs37d5 for HG00344. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879463
title: gVCF_HG00452

description: 1000 Genomes gVCF mapped to hs37d5 for HG00452. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879463.v1
title: gVCF_HG00452

description: 1000 Genomes gVCF mapped to hs37d5 for HG00452. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879466
title: gVCF_HG00345

description: 1000 Genomes gVCF mapped to hs37d5 for HG00345. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879472.v1
title: gVCF_HG00378

description: 1000 Genomes gVCF mapped to hs37d5 for HG00378. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879442.v1
title: gVCF_HG00344

description: 1000 Genomes gVCF mapped to hs37d5 for HG00344. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879466.v1
title: gVCF_HG00345

description: 1000 Genomes gVCF mapped to hs37d5 for HG00345. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879430
title: gVCF_HG00376

description: 1000 Genomes gVCF mapped to hs37d5 for HG00376. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879436
title: gVCF_HG00451

description: 1000 Genomes gVCF mapped to hs37d5 for HG00451. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879439.v1
title: gVCF_HG00343

description: 1000 Genomes gVCF mapped to hs37d5 for HG00343. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879424
title: gVCF_HG00449

description: 1000 Genomes gVCF mapped to hs37d5 for HG00449. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879430.v1
title: gVCF_HG00376

description: 1000 Genomes gVCF mapped to hs37d5 for HG00376. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879436.v1
title: gVCF_HG00451

description: 1000 Genomes gVCF mapped to hs37d5 for HG00451. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879424.v1
title: gVCF_HG00449

description: 1000 Genomes gVCF mapped to hs37d5 for HG00449. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879397
title: Supplemental Table S2

description: Supplemental Table S2 (J Neurophysiol) 20190322
DOI: 10.6084/m9.figshare.7879412
title: gVCF_HG00342

description: 1000 Genomes gVCF mapped to hs37d5 for HG00342. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879418
title: gVCF_HG00375

description: 1000 Genomes gVCF mapped to hs37d5 for HG00375. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879412.v1
title: gVCF_HG00342

description: 1000 Genomes gVCF mapped to hs37d5 for HG00342. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879418.v1
title: gVCF_HG00375

description: 1000 Genomes gVCF mapped to hs37d5 for HG00375. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7879394
title: Supplemental Table S1

description: Supplemental Table S1 (J Neurophysiol) 20190322
DOI: 10.6084/m9.figshare.7879397.v1
title: Supplemental Table S2

description: Supplemental Table S2 (J Neurophysiol) 20190322
DOI: 10.6084/m9.figshare.7879388
title: TaqMan raw genetic data - 13 SNPs for PD.xlsx

description: This file contains genetic data for 13 SNPs being genotyped with Taqman SNP genotype assay, for Parkinson's disease cases and controls.
DOI: 10.6084/m9.figshare.7879394.v1
title: Supplemental Table S1

description: Supplemental Table S1 (J Neurophysiol) 20190322
DOI: 10.6084/m9.figshare.7879382
title: Autophagy accounts for approximately one-third of mitochondrial protein turnover and is protein selective

description: The destruction of mitochondria through macroautophagy/autophagy has been recognized as a major route of mitochondrial protein degradation since its discovery more than fifty years ago, but fundamental questions remain unanswered. First, how much mitochondrial protein turnover occurs through autophagy? Mitochondrial proteins are also degraded by nonautophagic mechanisms, and the proportion of mitochondrial protein turnover that occurs through autophagy is still unknown. Second, does autophagy degrade mitochondrial proteins uniformly or selectively? Autophagy was originally thought to degrade all mitochondrial proteins at the same rate, but recent work suggests that mitochondrial autophagy may be protein selective. To investigate these questions, we used a proteomics-based approach in the fruit fly <i>Drosophila melanogaster</i>, comparing mitochondrial protein turnover rates in autophagy-deficient <i>Atg7</i> mutants and controls. We found that ~35% of mitochondrial protein turnover occurred via autophagy. Similar analyses using <i>park/parkin</i> mutants revealed that park-dependent mitophagy accounted for ~25% of mitochondrial protein turnover, suggesting that most mitochondrial autophagy specifically eliminates dysfunctional mitochondria. We also found that our results were incompatible with uniform autophagic turnover of mitochondrial proteins and consistent with protein-selective autophagy. In particular, the autophagic turnover rates of individual mitochondrial proteins varied widely, and only a small amount of the variation could be attributed to tissue differences in mitochondrial composition and autophagy rate. Furthermore, analyses comparing autophagy-deficient and control human fibroblasts revealed diverse autophagy-dependent turnover rates even in homogeneous cells. In summary, our work indicates that autophagy acts selectively on mitochondrial proteins, and that most mitochondrial protein turnover occurs through nonautophagic processes.
DOI: 10.6084/m9.figshare.7879388.v1
title: TaqMan raw genetic data - 13 SNPs for PD.xlsx

description: This file contains genetic data for 13 SNPs being genotyped with Taqman SNP genotype assay, for Parkinson's disease cases and controls.
DOI: 10.6084/m9.figshare.7879346
title: Computational identification and antifungal bioassay reveals phytosterols as potential inhibitor of <i>Alternaria arborescens</i>

description: <i>Alternaria arborescens</i> is a major pathogen for crops like tomato, tangerine and so on and its control is mostly dependent on the application of chemical agents. Plants as the sources of natural products are very attractive option for developing eco-friendly and natural antifungal agents. In this study, we modeled three-dimensional structure of chorismate synthase (CS) enzyme from <i>A. arborescens</i>. Docking studies of phytosterols, namely, γ-sitosterol and β-sitosterol, with CS showed them to be potential inhibitor of CS. To explore the stability and conformational flexibility of all the <i>AaCS</i> complex systems, molecular dynamics simulations were performed. None of the putative inhibitors as well as β- and γ-sitosterol showed interaction with the FMNH<sub>2</sub> binding pocket of the tomato CS (major host of <i>A. arborescens</i>) indicating their suitability as antifungal compounds inhibiting the shikimate pathway without causing any harm to the host. An <i>in vivo</i> antifungal bioassay showed a significant reduction in fungal growth in the presence of β-sitosterol (500 ppm) which resulted in ∼23% and ∼17% reduction in fungal fresh and dry weight, respectively, at 8 days after inoculation. This study provides experimental evidence establishing natural sterols like β-sitosterol can be useful in curbing <i>A. arborescens</i> damage in an eco-friendly manner. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.7879382.v2
title: Autophagy accounts for approximately one-third of mitochondrial protein turnover and is protein selective

description: The destruction of mitochondria through macroautophagy/autophagy has been recognized as a major route of mitochondrial protein degradation since its discovery more than fifty years ago, but fundamental questions remain unanswered. First, how much mitochondrial protein turnover occurs through autophagy? Mitochondrial proteins are also degraded by nonautophagic mechanisms, and the proportion of mitochondrial protein turnover that occurs through autophagy is still unknown. Second, does autophagy degrade mitochondrial proteins uniformly or selectively? Autophagy was originally thought to degrade all mitochondrial proteins at the same rate, but recent work suggests that mitochondrial autophagy may be protein selective. To investigate these questions, we used a proteomics-based approach in the fruit fly <i>Drosophila melanogaster</i>, comparing mitochondrial protein turnover rates in autophagy-deficient <i>Atg7</i> mutants and controls. We found that ~35% of mitochondrial protein turnover occurred via autophagy. Similar analyses using <i>park/parkin</i> mutants revealed that park-dependent mitophagy accounted for ~25% of mitochondrial protein turnover, suggesting that most mitochondrial autophagy specifically eliminates dysfunctional mitochondria. We also found that our results were incompatible with uniform autophagic turnover of mitochondrial proteins and consistent with protein-selective autophagy. In particular, the autophagic turnover rates of individual mitochondrial proteins varied widely, and only a small amount of the variation could be attributed to tissue differences in mitochondrial composition and autophagy rate. Furthermore, analyses comparing autophagy-deficient and control human fibroblasts revealed diverse autophagy-dependent turnover rates even in homogeneous cells. In summary, our work indicates that autophagy acts selectively on mitochondrial proteins, and that most mitochondrial protein turnover occurs through nonautophagic processes.