Franca LX, Dodds DM, Reynolds DB, Bond JA, Mills A, Catchot AL, Peterson DG (2020) Influence of flooding period and seed burial depth on Palmer amaranth (Amaranthus palmeri) seed germination. Pest Management Science 76(11): 3832-3837.
Reeder N, Tapanee P, Persell A, Tolar-Peterson T (2020) Food insecurity, depression, and race: Correlations observed among college students at a university in the Southeastern United States. International Journal of Environmental Research and Public Health 17(21): 1-11.
Zeng H, Hamlin SK, Safratowich BD, Cheng W-H, Johnson LK (2020) Superior inhibitory efficacy of butyrate over propionate and acetate against human colon cancer cell proliferation via cell cycle arrest and apoptosis: linking dietary fiber to cancer prevention. Nutrition Research 83: 63-72.
Walker PJ, Siddell SG, Lefkowitz EJ, Mushegian AR, Adriaenssens EM, Dempsey DM, Dutilh BE, Harrach B, Harrison RL, Hendrickson RC, Junglen S, Knowles NJ, Kropinski AM, Krupovic M, Kuhn JH, Nibert M, Orton RJ, Rubino L, Sabanadzovic S, Simmonds P, Smith DB, Varsani A, Zerbini FM, Davison AJ (2020) Changes to virus taxonomy and the Statutes ratified by the International Committee on Taxonomy of Viruses (2020). Archives of Virology 165(11): 2737-2748.
Telmadarrehei T, Tang JD, Raji O, Rezazadeh A, Narayanan L, Shmulsky R, Jeremic D (2020) A study of the gut bacterial community of reticulitermes virginicus exposed to Chitosan treatment. Insects 11(10): 1-17.
Fancher CA, Zhang L, Kiess AS, Adhikari PA, Dinh TTN, Sukumaran AT (2020) Avian pathogenic Escherichia coli and clostridium perfringens: Challenges in no antibiotics ever broiler production and potential solutions. Microorganisms 8(10): 1-27.
Zhang X, Zhai W, Li S, Suman SP, Chen J, Zhu H, Antonelo DS, Schilling MW (2020) Early postmortem proteome changes in normal and woody broiler breast muscles. Journal of Agricultural and Food Chemistry 68(39): 11000-11010.
Liu S, Zhong H, Meng X, Sun T, Li Y, Pinson SRM, Chang SKC, Peng Z (2020) Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods. BMC Plant Biology 20(1): 441.
BACKGROUND: Rice is an important human staple food vulnerable to heavy metal contamination leading to serious concerns. High yield with low heavy metal contamination is a common but highly challenging goal for rice breeders worldwide due to lack of genetic knowledge and markers. RESULTS: To identify candidate QTLs and develop molecular markers for rice yield and heavy metal content, a total of 191 accessions from the USDA Rice mini-core collection with over 3.2 million SNPs were employed to investigate the QTLs. Sixteen ionomic and thirteen agronomic traits were analyzed utilizing two univariate (GLM and MLM) and two multivariate (MLMM and FarmCPU) GWAS methods. 106, 47, and 97 QTLs were identified for ionomics flooded, ionomics unflooded, and agronomic traits, respectively, with the criterium of p-value < 1.53 × 10- 8, which was determined by the Bonferroni correction for p-value of 0.05. While 49 (~ 20%) of the 250 QTLs were coinciding with previously reported QTLs/genes, about 201 (~ 80%) were new. In addition, several new candidate genes involved in ionomic and agronomic traits control were identified by analyzing the DNA sequence, gene expression, and the homologs of the QTL regions. Our results further showed that each of the four GWAS methods can identify unique as well as common QTLs, suggesting that using multiple GWAS methods can complement each other in QTL identification, especially by combining univariate and multivariate methods. CONCLUSIONS: While 49 previously reported QTLs/genes were rediscovered, over 200 new QTLs for ionomic and agronomic traits were found in the rice genome. Moreover, multiple new candidate genes for agronomic and ionomic traits were identified. This research provides novel insights into the genetic basis of both ionomic and agronomic variations in rice, establishing the foundation for marker development in breeding and further investigation on reducing heavy-metal contamination and improving crop yields. Finally, the comparative analysis of the GWAS methods showed that each method has unique features and different methods can complement each other.
Ayoola MB, Nakamya MF, Shack LA, Park S, Lim J, Lee JH, Ross MK, Eoh H, Nanduri B (2020) SP_0916 Is an Arginine Decarboxylase That Catalyzes the Synthesis of Agmatine, Which Is Critical for Capsule Biosynthesis in Streptococcus pneumoniae. Frontiers in Microbiology 11: 578533.
Vrieling M, Tuffs SW, Yebra G, van Smoorenburg MY, Alves J, Pickering AC, Park JY, Park N, Heinrichs DE, Benedictus L, Connelley T, Seo KS, McCormick JK, Fitzgerald JR (2020) Population analysis of staphylococcus aureus reveals a cryptic, highly prevalent superantigen selw that contributes to the pathogenesis of bacteremia. mBio 11(5): e02082-20.