"Maize and soybean are often rotated on the same land to prevent SDS from spreading. But this farming strategy does not stop soybeans from getting sick from the fungus," says Amy Baetsen-Young, a former Ph.D. student in the lab of MSU Foundation Professor Dr. Brad Day. "We used this observation as our starting point to look for genes that allow maize to show no disease symptoms to the same fungus that debilitates soybeans."
"Our major finding is that, although fungus also invades maize, the maize reacts very early, which leads to a robust defense response and a better chance of staying healthy," says Huan Chen, a second-year graduate student in the Molecular Plant Sciences graduate program.
Beating fungi to the clock
The research team took a big data approach to compare if and how maize and soybean mount their defense responses when facing off against the fungus.
It turns out that when the crop mounts a defense response is crucial to maintaining health, and earlier is better. Soybean defenses ramp up seven days after the onset of the fungal invasion, at which point the fungus is in damage mode. In contrast, maize defenses kick in two days after invasion, which slows down the growth of the fungus before it turns damaging.
"Our data also suggest that the fungus is associated with senescence in soybeans, a natural process where cells grow old and die," Huan says. "Although we see senescence in infected soybean, we are not sure if the fungus triggers the soybean to 'grow old' so that the fungus can grow and develop, or if senescence is simply a symptom that appears as the disease develops."
The research team also shows that fungal infestation triggers different genetic responses in both crops. There is even a hint that the fungus might manipulate their hosts' metabolism in order to cause cell death.
"SDS is a disease that cannot be fully managed, which is why we need to understand it better," Huan says. "Moreover, some fungi invade a broad range of important crops, and not all plants react in the same way to attacks from other microbes, as we show here. Our computational biology and big data approaches could help yield a big picture view of disease progression and prevention."
"This study represents an example of integrating disciplines—from genes to cropping systems—and the complementarity of academic expertise," says Brad. "Amy's Ph.D. work has established a new foundation, and a high bar, from which we can begin to address fully-integrated computation approaches into important field-based questions. The collaboration between students, together with Dr. Shin-Han Shiu at MSU, illustrates the ability of teams to move knowledge forward and address significant gaps in fundamental biology and applied agriculture."
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Fungus application thwarts major soybean
pest The soybean cyst nematode sucks the
nutrients out of soybean roots, causing more than $1 billion in soybean yield
losses in the U.S. each year. A new study finds that one type of fungi can
cut the nematodes' reproductive success by more than ...
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Soybean seeding rates and risk During the growing season in soybean
fields, there is attrition - or unexplained plant death - each year. This is
important to account for when calculating seeding rate. Credit ; Corteva
Agriscience AMERICAN SOCIETY OF AGRONOMY To some, farming...
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More information: Contrasting transcriptional responses to Fusarium virguliforme colonization in symptomatic and asymptomatic hosts. The Plant Cell, doi.org/10.1093/plcell/koaa021
Journal information: Plant Cell
Provided by Michigan State University


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