Maize (Zea mays L.) is one of the world’s largest food crops and thus any pathogens of maize are of great importance. Aspergillus flavus is one of these pathogens and it produces a carcinogenic metabolite called aflatoxin. Efforts to reduce infection by A. flavus and subsequent aflatoxin accumulation include the development of maize lines resistant to aflatoxin accumulation. However, resistant lines that have been developed contain agronomically unfavorable traits. Gene-based markers would allow for easier transfer of resistance from resistant inbred lines into maize lines with good agronomic traits. The focus of this research was the development of gene-based markers for resistance to aflatoxin accumulation. To this end, two genes were characterized for their association with reduced aflatoxin accumulation in maize. A gene coding for a photosytem II3 protein shown to be differentially regulated between maize lines Mp313E (resistant) and Va35 (susceptible) was used to develop the marker MpM1. This marker was shown to be associated with resistance to aflatoxin accumulation in three F2:3 mapping populations derived from Mp313E x B73, Mp313E x Va35, and Mp715 x T173 and identified a new quantitative trait locus (QTL) on chromosome 4. The second gene chosen was the chitinase A gene (chiA), which has been shown to inhibit fungal growth and is differentially regulated between resistant and susceptible lines of maize. ChiA also had an association with reduced aflatoxin accumulation in the three F2:3 mapping populations and identified a new QTL in the Mp313E x Va35 population. Together, MpM1 and chiA were associated with 27% of the phenotypic variation in one environment of the Mp313E x B73 population. These markers represent the first two gene-based markers developed for resistance to aflatoxin accumulation, and the methodology developed in this study can be used to screen other candidate genes for potential use as gene-based makers.

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Indiana University-Purdue University Indianapolis (IUPUI)

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Indiana University-Purdue University Indianapolis (IUPUI) / Historic monuments and markers can be found across the United States. There are always different motivations involving why they were placed and who or what is being acknowledged. Markers and memorials remembering a white woman named Frances Slocum recognize that she was taken by Delaware Indians in 1778 and eventually married a Miami chief before dying in Indiana in 1847. What the markers and memorials fail to show is the life of Maconaquah, a Miami woman that was adopted by a Delaware family after being taken in Pennsylvania. Since being located by her white family, Maconaquah’s story has been retold, celebrated, and remembered as the story of Frances Slocum, a lost but now found sister. The memorialization of Frances Slocum and erasure of Maconaquah began with the captivity narratives that told the story of Slocum from the perspective of her being lost and then found by her white relatives. Native captivity narratives began when the increased colonization of the North American continent led to conflict and violence between the white colonists and Indigenous tribes; popular narratives began as early as 1624 with Captain John Smith’s Generall Historie. When captives shared their stories, it was a way to share information about the different cultures they had encountered, as well as created a division of white colonial cultural and Indigenous cultures. Narratives like the ones written about Maconaquah focus on her white identity and family and firmly emphasize any difference in dress, home, or demeanor. Maconaquah is not recognized so much for the life she created among the Miami as she is mourned for the life she could have had with her white family. This dismissal of her Indigenous identity continued onto her monuments and markers that refused to acknowledge her name or her legacy. To properly remember Maconaquah’s life and legacy, any potential monument or marker will need to disrupt the narrative previously presented in favor of centering her Miami identity.

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A marker model of fecal kinetics using chromic oxide (Cr) or ytterbium chloride (Yb) is being developed for grazing horses. The model consists of removal of feces at a constant rate from a single compartment, the prefecal mass. It was tested in experiments on stall-fed horses in the context of digestion balance trials. Following the preliminary work of Holland et al., (1998), three improvements in experimental design were tested. First, the rate constants were determined from both the administration and post-administration curve of the one-compartment model. Second, markers were administered three times a day to reduce diurnal variation in fecal marker concentration. Third, yttrium (Y) and Yb were tested were tested as internal markers, for the estimation of digestibility of hay and supplements, respectively. Eight horses were fed Diet 1 (orchardgrass/alfalfa mixed, OG) or Diet 2 (tall fescue/alfalfa mixed, TF) in Exp.1, and Diet 3 (OG plus fat-and-fiber supplement, OGFF) or Diet 4 (OG plus sugar-and-starch supplement, OGSS) in Exp.2. Balance-marker experiments were conducted for 17 and 20 d, with 7 and 10 d of dietary accommodation in Exp.1 and 2, respectively. Chromic oxide and Yb were administered orally and fecal samples were collected every 8 h for 8 d. Dry matter, Cr, Yb and Y were measured in feeds and feces. In balance experiments, estimates of DMD (D_E) using Y, were determined precisely (SE 1 to 3 %) for hay and hay and supplement diets. Linear relationships, correlations and calibration curves were determined, validating Y as a marker. Mean daily fecal Cr data (C_t) at time t (days) including a delay (d) were fitted to a single exponential, with one rate constant (k), rising to an asymptote (C_a): C_t = C_a - C_a·e^-k(t-d) Diets 1 and 2 had two sets of C_tdata, total collection (a) and fecal grab data (b), and each set was used in model development. Diets 3 and 4 had two sets of C_t data (both using fecal grab data), Cr marker dilution (3Cr and 4Cr) and Yb marker dilution (3Yb and 4Yb). For pooled data, delays of 3 to 6 h (Diets 1a, 1b, 2a and 2b) and delays of 5 to 7 h (Diets 3Cr, 4Cr, 3Yb and 4Yb) gave best fits (highest estimates of R²). The delays introduced to the Cr model for both 3Cr and 4Cr diets did not correspond to the preliminary study (Holland et al., 1998), where a 2 h delay gave the best fit in the model for horses fed hay and supplement. The present estimates may more realistically relate to mouth-to-cecum transport times, because the marker was administered three times a day instead of once, and the initial part of the tracer curve was more precisely defined. The results showed that fecal Cr kinetics could be calibrated precisely (SE 1 to 3 %) to predict fecal DM output of horses fed Diets 1b, 2b, 3a but not 4a. Similarly, fecal Yb kinetics could be calibrated to predict fecal DM output of horses fed Diet 3b but not 4b. The rate constants yielded turnover times (TT) that were longer with hay and supplement diets, than with hay alone, and which contrast with previous findings in the horse. However, the longer TT were similar to slower rates of marker excretion in sheep fed concentrates instead of all-roughage diets, suggesting that the lower fiber content retarded the rate of propulsion of digesta through the digestive tract. For two of the eight models of fecal kinetics, the rate constants of the post-administration curve were not well determined by the data, and rate constants from the administration curve were used. In future experiments, more frequent fecal sample collection during the post-administration period may improve rate constant determination. Improvements in diurnal variation of fecal marker concentration were obtained by dosing three times a day. But discrepancies between Cr and Yb concentration means of diurnal samples and combined samples showed incomplete mixing, the major source of tracer error. Therefore more frequent marker administration and fecal samples should be tested in future experiments to achieve more thorough mixing in the prefecal mass for modeling fecal kinetics, and in the small intestine for estimating digestibility. / Master of Science